Study Program SoSe 2024

Fachbereich 03: Mathematik/Informatik

Show courses: all | in english | for older adults | with sustainable development goals

Artificial Intelligence and Intelligent Systems, M.Sc.

Course number	Title of event	Lecturer
03-IMVP-GME (03-ME-711.05)	Brain-Pattern-Recognition Blockveranstaltung (Teaching) ECTS: 6 Profil: KIKR. Schwerpunkt: IMVP-AI https://lvb.informatik.uni-bremen.de/imvp/03-imvp-gme.pdf 10-tägige Blockveranstaltung am Ende des Semesters (genauer Zeitraum wird in Absprache festgelegt). Voranmeldung per stud.ip notwendig (Anzahl Teilnehmende begrenzt).	Felix Putze

Digitale Medien, B.Sc.

1. Studienjahr

Dieses Digitale-Medien-Verzeichnis enthält nur die Veranstaltungen des Fachbereichs 3 der Uni Bremen.
Die Veranstaltungen zu \'Gestalterische Grundlagen 1\' und \'Medienwissenschaften 1\' finden an der HfK statt.
Die Angebote der HFK sind zu finden unter Angebote der Hochschule für Künste http://www.hfk-bremen.de/t/digitale-medien

B-MI-21

Course number	Title of event	Lecturer
03-DMB-MI-1-MI2 (03-B-MI-1.2)	Media Infromatics 2 Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 NW2 C0290 (Hörsaal 1) Vorlesung weekly (starts in week: 1) Tue. 14:00 - 16:00 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1100 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 6200 Übung weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1380/1400 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5600 Übung Für Informatik Studierende nach der neuen BPO ist es IBA, für Studierende nach der alten BPO ist es Fachinformatik 2. https://lvb.informatik.uni-bremen.de/dmb/03-dmb-mi-1-mi2.pdf	Udo Frese

B-MI-32

Course number	Title of event	Lecturer
03-IBGT-M2	Mathematics 2 Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 1090 Übung weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 5600 Übung weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 1470 Übung weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 5500 Übung weekly (starts in week: 1) Tue. 08:00 - 10:00 NW1 H 1 - H0020 Vorlesung weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 5600 Übung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 5600 Übung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1090 Übung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1110 Übung Additional dates: Tue. 16.07.24 08:00 - 11:00 HS 2010 (Großer Hörsaal) Thu. 18.07.24 08:00 - 10:00 MZH 5500 Wed. 02.10.24 14:00 - 18:00 MZH 1380/1400 Studierende der Digitalen Medien BPO'16 erhalten zusätzlich 2CP.	Dr. Tim Haga

B-MI-22

Course number	Title of event	Lecturer
03-DMB-MI-22-AUD	Algorithms and Data Structures Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 6) Mon. 16:00 - 18:00 MZH 1090 Übung weekly (starts in week: 6) Tue. 16:00 - 18:00 MZH 1380/1400 Vorlesung weekly (starts in week: 5) Wed. 16:00 - 18:00 MZH 1090 Übung weekly (starts in week: 5) Thu. 08:00 - 10:00 MZH 1470 Übung weekly (starts in week: 5) Thu. 14:00 - 16:00 MZH 1380/1400 Vorlesung Für Studierende der Digitalen Medien und Komplementärfach Informatik	Karsten Hölscher
03-DMB-MI-22-OOP	Objektorientierte Programmierung Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1380/1400 Vorlesung Für Studierende der Digitalen Medien und Komplementärfach Informatik. Die Vorlesung findet zusammen mit der Veranstaltung 'Algorithmen und Datenstrukturen' statt.	Karsten Hölscher

B-MI-23

Course number	Title of event	Lecturer
03-DMB-MI-23-TGI	Technical Basics for Informatics Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1380/1400 Übung weekly (starts in week: 1) Tue. 10:00 - 12:00 GW2 B1820 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 5500 MZH 1470 Übung weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 1470 Übung Nicht für Vollfach-Informatik-Studierende anrechenbar.	Stefanie Gerdes
03-IBFW-C++ (03-BA-700.12b)	Introductory Course C/C++ Blockveranstaltung (Teaching) ECTS: 2 Additional dates: Mon. 16.09.24 08:30 - 17:00 GW2 B3009 (Großer Studierraum) Tue. 17.09.24 08:30 - 13:00 GW2 B3009 (Großer Studierraum) Wed. 18.09.24 08:00 - 13:00 GW2 B1410 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-c++.pdf Das Modul kann nur in der freien Wahl angerechnet werden. Der Kurs findet vom ??? bis ??? ganztägig statt. Mittwoch, den ??? von ??? Programmiertest im Testcenter. Die Inhalte dieser Veranstaltung werden für Technische Informatik 2 (Studiengang Informatik) und Computergraphik vorausgesetzt. Mit dem abschließenden Programmiertest können 2 ECTS für "freie Wahl" (unbenotet) erworben werden.	Olaf Bergmann

2. Studienjahr

Lehrveranstaltungs-Überblick

Course number	Title of event	Lecturer
03-I-LVÜ	Überblick über das Wahlangebot im Fach Informatik Lecture (Teaching) Die Veranstaltung gibt einen Überblick über das Wahlangebot im Fach Informatik für die Studiengänge Bachelor und Master Informatik, Bachelor Digitale Medien, Bachelor Wirtschaftsinformatik sowie Bachelor und Master Systems Engineering. Die Veranstaltung findet online asynchron statt.	Ute Bormann

B-MI-8

Course number	Title of event	Lecturer
03-DMB-MI-8-EWA	Development of web applications Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 5600 Vorlesung weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 5600 Übung Nicht für Vollfach-Informatik-Studierende anrechenbar	Dr. Hui Shi
03-IBAP-RN (03-BB-704.01)	Computer Networks Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung Online weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 6200 Kurs weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 6200 Kurs https://lvb.informatik.uni-bremen.de/ibap/03-ibap-rn.pdf	Ute Bormann
03-IBGP-DBM	Foundations of Data Bases and Modeling Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 HS 2010 (Großer Hörsaal) Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 NW2 C0290 (Hörsaal 1) Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 HS 2010 (Großer Hörsaal) Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 GW2 B3009 (Großer Studierraum) Fragestunde Additional dates: Mon. 30.09.24 10:00 - 13:00 NW1 H 1 - H0020 Mon. 30.09.24 10:00 - 13:00 HS 2010 (Großer Hörsaal) Für WInf-Studierende BPO '13 im zweiten Semester weitere 3 CP in Freie Wahl als Ersatz für SWP1. Für fortgeschrittene SysEng-Studierende als Ersatz für SWP1. Für Studierende, die an der Vorlesung nicht teilnehmen können, gibt es eine Aufzeichnung des Vorlesungsanteils aus dem vorigen Jahr.	Prof. Dr. Sebastian Maneth

B-MW-12

Für Veranstaltungen dieses Moduls an der Hochschule für Künste bitte das dortige Lehrveranstaltungsverzeichnis ansehen: http://www.hfk-bremen.de/t/digitale-medien

Course number	Title of event	Lecturer
09-60-KMW3	Introduction into Communication and Media Studies II: Media System and Media Change Lecture (Teaching) Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 HS 1010 (Kleiner Hörsaal) (2 Teaching hours per week) Additional dates: Tue. 09.07.24 14:00 - 16:00 HS 2010 (Großer Hörsaal) Wed. 02.10.24 14:00 - 16:00 SFG 0140 Kommentar: https://www.uni-bremen.de/fileadmin/user_upload/fachbereiche/fb9/zemki/docs/comments/comments_SoSe2024/KMW3_Schwarzenegger_Koenen.pdf	Prof. Dr. Christian Schwarzenegger Dr. Erik Koenen

3. Studienjahr

Lehrveranstaltungs-Überblick

Course number	Title of event	Lecturer
03-I-LVÜ	Überblick über das Wahlangebot im Fach Informatik Lecture (Teaching) Die Veranstaltung gibt einen Überblick über das Wahlangebot im Fach Informatik für die Studiengänge Bachelor und Master Informatik, Bachelor Digitale Medien, Bachelor Wirtschaftsinformatik sowie Bachelor und Master Systems Engineering. Die Veranstaltung findet online asynchron statt.	Ute Bormann

B-MI-9

Auch Module aus B-MI-8 hier wählbar.
Bei Vorliegen der jeweiligen inhaltlichen Voraussetzungen auch: M-MI/ M-MI-d des Master

Course number	Title of event	Lecturer
03-IBAP-ML (03-BB-710.10)	Fundamentals of Machine Learning (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1380/1400 GW2 B1820 Übung Additional dates: Wed. 12.06.24 08:00 - 09:30 MZH 1380/1400 Tue. 23.07.24 14:00 - 16:00 NW1 H 1 - H0020 Schwerpunkt: AI https://lvb.informatik.uni-bremen.de/ibap/03-ibap-ml.pdf Die Übungen starten in der 2. Semesterwoche.	Tanja Schultz Felix Putze Darius Ivucic Gabriel Ivucic Zhao Ren

B-MA-2

Auch Module aus den Bereichen B-MI-8 und B-MI-9 sind hier wählbar.
Bei Vorliegen der jeweiligen inhaltlichen Voraussetzungen auch: M-MI/ M-MA-2 des Masters.
Für Lehrveranstaltungen dieses Moduls der Hochschule für Künste bitte das dortige Lehrveranstaltungsverzeichnis ansehen: http://www.hfk-bremen.de/t/digitale-medien

Course number	Title of event	Lecturer
03-IBAA-BUB (03-BB-899.11)	Biosignals and User Interfaces Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1090 Vorlesung fortnightly (starts in week: 1) Thu. 14:00 - 16:00 MZH 6200 Übung Additional dates: Mon. 08.07.24 09:00 - 12:00 MZH 1380/1400 https://lvb.informatik.uni-bremen.de/ibaa/03-ibaa-bub.pdf	Tanja Schultz Dr.-Ing. Hui Liu Jana Schill M. Sc Asmus Eike Eilks
03-IBAA-ITM (03-BB-802.01)	IT Management Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 1380/1400 Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1470 Vorlesung https://lvb.informatik.uni-bremen.de/ibaa/03-ibaa-itm.pdf	Prof. Dr. Andreas Breiter
03-IBFW-PBVML (03-BE-709.10)	Seminar on visual languages Blockveranstaltung (Teaching) ECTS: 3 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-pbvml.pdf Das Proseminar findet als Blockveranstaltung online statt. Der Termin wird den Interessenten rechtzeitig mitgeteilt	PD Dr. Björn Gottfried
03-IBVA-DSV (03-BE-802.98a)	Data Science and Visualization (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 5600 Kurs weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 5600 Kurs Eine Doppelanerkennung von 'Data Science' und 'Data Science and Visualization' ist nicht möglich. https://lvb.informatik.uni-bremen.de/ibv/03-ibva-dsv.pdf The class will provide an introduction to data science and information visualization. For this, the programming language Python will be used (and taught). For creating data visualizations, you will be able to choose among a series of tools (e.g., Plotly, Observable, etc.) We will explore different concepts from the fields of human-computer interaction, data visualization, and computer-supported collaborative work. You will learn about: • Basic statistics • Visualization techniques • Interaction design Exploratory data analysis and evaluation, as an integral part of data science, will also be taught. The course will involve applying the learned techniques to real-world datasets to develop a custom project. This class is taught in person and in English. Use material like the coursebook to learn more about the topics as we progress in the course.	Dr. Gabriela Molina Leon
IBVP-AKR	Actionable Knowledge Representation (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 Vorlesung weekly (starts in week: 1) Tue. 12:00 - 14:00 Übung Die Veranstaltung findet im TAB in Raum 0.30 statt. https://lvb.informatik.uni-bremen.de/ibv/03-ibvp-akr.pdf This course deals with the idea of bringing knowledge into applications to support users in daily life. It therefore covers topics on how knowledge can be represented to be machine-understandable, how knowledge can be acquired from different sources (including Web scraping) and how such different knowledge chunks can be linked. It will further discuss how to reason about knowledge and how different agents like websites, AR applications or robots can use knowledge to support users in their daily life. All exercises will be available in platform-independent jupyter notebooks based on python and have low software requirements.	Robert Porzel Michaela Kümpel

Graduiertenseminare

Course number	Title of event	Lecturer
03-IGRAD-agdb	Graduiertenseminar Datenbanksysteme Seminar (Teaching) Dates: weekly (starts in week: 1) Fri. 14:00 - 16:00 (2 Teaching hours per week) Graduiertenseminar	Martin Gogolla
03-IGRAD-AGDM	Graduiertenseminar Digitale Medien Colloquium (Teaching) Dates: weekly (starts in week: 1) Wed. 11:00 - 12:00	Prof. Dr. Rainer Malaka
03-IGRAD-AGIM	Graduiertenseminar IT- und Wissensmanagement Seminar (Teaching) Termine nach Vereinbarung	Prof. Dr. Andreas Breiter
03-IGRAD-agmsis	Graduiertenseminar Multisensorische interaktive Systeme Seminar (Teaching) nach Vereinbarung	Udo Frese
03-IGRAD-AGRN	Graduiertenseminar Rechnernetze Seminar (Teaching) Termine nach Vereinbarung	Ute Bormann
03-IGRAD-CGVR	Graduate Seminar Computer Graphics and Virtual Reality Seminar (Teaching) Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 Graduiertenseminar Das Graduiertenseminar findet immer am 1. Montag des Monats im MZH 3470, von 14 bis ca. 18 Uhr, statt.	Prof. Dr. Gabriel Zachmann
03-IGRAD-CoSy	Graduiertenseminar Cognitive Systems (in English) Seminar (Teaching) Dates: fortnightly (starts in week: 16) Wed. 14:00 - 17:00 Graduiertenseminar	Thomas Dieter Barkowsky
03-IGRAD-HCI	Graduiertenseminar Mensch-Computer-Interaktion Seminar (Teaching) Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00	Prof. Dr. Tanja Döring

General Studies/Veranstaltungen anderer Studiengänge

Course number	Title of event	Lecturer
03-IBFS-TSTUD	Participation in Studies Seminar (Teaching) ECTS: 1 https://lvb.informatik.uni-bremen.de/igs/03-ibfs-tstud.pdf Zu Beginn jedes Semesters findet eine Infoveranstaltung statt, wo die Scheinkriterien für Versuchspersonen erläutert werden. Außerdem werden (aufbauend auf den Inhalten von WA1) Forschungsmethoden von Studien mit Versuchspersonen vermittelt. Im weiteren Verlauf des Studiums sollen Studierende 15 Versuchspersonenstunden absolvieren (d.h. an mehreren Studien teilnehmen). Jede Studienteilnahme wird mit Versuchspersonenstunden vergütet, die in ECTS anerkannt werden können. Die Versuchspersonenstunden können über mehre Semester gesammelt werden. Die Teilnahme an den Studien soll in einer schriftlichen Ausarbeitung dokumentiert und reflektiert werden. At the beginning of each semester, an information session is held where the certificate criteria for subjects are explained. In addition, research methods of studies with test subjects are taught (building on the contents of WA1). Later in the program, students are expected to complete 15 subject hours (i.e., participate in different studies). Each study participation is compensated with subject hours, which can be recognized in ECTS. The subject hours may be accumulated over multiple semesters. Participation in the studies should be documented and reflected upon in a written paper at the end. The selection of participants is made manually after registration. Users who wish to register for this event will receive more detailed information and can then still decide against participation.	Prof. Dr. Rainer Malaka

Sonstige Veranstaltungen ohne Kreditpunkte

Course number	Title of event	Lecturer
03-ISONST-SPAG	Spiele-AG Seminar (Teaching) Dates: weekly (starts in week: 1) Mon. 18:00 - 20:00 (1 Teaching hours per week) Sitzung Informationen unter https://redmine.informatik.uni-bremen.de/projects/gamedev-ag/wiki	Prof. Dr. Rainer Malaka

Informatica Feminale

Course number	Title of event	Lecturer
META-2024-ALL-IF	27th International Informatica Feminale (in English) Informatica Feminale - Summer University for Women in Computing Sommeruniversität für Frauen in der Informatik /Summer University for Women in Computing Blockveranstaltung (Teaching) ECTS: 1-3 (je Kurs/for every course) 60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester 2024 sowie im Wintersemester 2024/25 anerkannt. Alle Einzelangaben, Zeiten und Anmeldungen jederzeit nur über die Website https://www.informatica-feminale.de. 60 courses in German and English for women Bachelor and Master students from all fields of study. Courses are part of General Studies, some are accepted in Informatics; in the summer semester 2024 as well as in winter semester 2024/25. Further information, schedules and registration only on the website https://www.informatica-feminale.de.	Veronika Oechtering Henrike Illig

Digitale Medien, M.Sc.

1st academic year

Veranstaltungen von MG ( Media Design) und MT ( Media Theory) finden primär in der HfK statt.
Das Seminar Introduction to Digital Media wird von der HfK angeboten.
Courses of MG ( Media Design) and MT ( Media Theory) take place primarily at the HfK.
The seminar Introduction to Digital Media is offered by the HfK.

M-MI (Media Informatics)

Course number	Title of event	Lecturer
03-IMAA-CTHCI	Current Topics in Human Computer Interaction (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Wed. 10:00 - 14:00 SFG 0150 Kurs Profil: DMI Schwerpunkt: IMA-DMI, IMA-VMC https://lvb.informatik.uni-bremen.de/imaa/03-imaa-cthci.pdf	Prof. Dr. Tanja Döring
03-IMAA-EC (03-MB-804.03)	Entertainment Computing (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 6200 Vorlesung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 6200 Übung Profil: DMI Schwerpunkt: IMK-DMI, IMA-VMC https://lvb.informatik.uni-bremen.de/imaa/03-imaa-ec.pdf	Prof. Dr. Rainer Malaka Rachel Ringe Leon Tristan Dratzidis Nima Zargham
03-IMAA-MAD (03-ME-804.06)	Mobile App Development (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 6200 Vorlesung weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 6200 Übung Profil: DMI Schwerpunkt: IMA-DMI, IMVA-DMI https://lvb.informatik.uni-bremen.de/imva/03-imva-mad.pdf Die Veranstaltung richtet sich an Studenten der Informatik und Digitalen Medien. In Gruppenarbeit sollen die Studierenden semesterbegleitend ein App-Projekt umsetzen. In der Vorlesung werden alle relevanten Informationen der modernen Softwareentwicklung, mit Fokus auf die mobile App-Entwickung, vermittelt. Dazu gehören Themen wie mobiles Testing, Scrum, UX Design, Evaluation & Nutzertests, Design Patterns und Cross-Plattform-Entwicklung. Das Ziel dabei ist die Vermittlung von praxisrelevantem Wissen aus dem Alltag eines erfolgreichen Unternehmens.	Prof. Dr. Rainer Malaka David Ruh Nicolas Autzen
03-IMAP-ACG (03-MB-708.02)	Advanced Computer Graphics Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 6200 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1090 Übung Profil: KIKR, DMI, MC. Schwerpunkt: IMAP-VMC, IMAP-DMI, IMVP-AI https://lvb.informatik.uni-bremen.de/imap/03-imap-acg.pdf The lecture will be held in German or English, depending on demand. Most of the homework and assignments of this course will be practical ones. Decent programming skills in C++ are required to work on those. https://cgvr.cs.uni-bremen.de/teaching/	Prof. Dr. Gabriel Zachmann
03-IMAP-DIS (03-MB-703.02)	Design of Information Systems (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1450 Vorlesung weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1110 Übung Profil: SQ. Schwerpunkt: IMVP-DMI, IMVP-SQ https://lvb.informatik.uni-bremen.de/imap/03-imap-dis.pdf Die Veranstaltung ist inhaltlich identisch mit "Entwurf von Informationssystemen" (keine Doppelanerkennung möglich).	Martin Gogolla
03-IMVA-EI (03-ME-899.03)	Embodied Interaction (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1110 Kurs weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1110 Kurs Profil: DMI. Schwerpunkt: IMVA-DMI, IMVA-VMC https://lvb.informatik.uni-bremen.de/imva/03-imva-ei.pdf	Robert Porzel Prof. Dr. Rainer Malaka
03-IMVA-GAC	Generative AI and Creativity - Understanding the Impact on Digital Media (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1470 Kurs weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1470 Seminar 4 SWS, Schwerpunkt: IMVA-DMI https://lvb.informatik.uni-bremen.de/imva/03-imva-gac.pdf In this seminar, we want to investigate current tools and models (e.g., Dall-E2, ChatGPT) for creating content. We will discuss the idea and design and the implications for artists, developers, and researchers. Therefore, we will read current research papers and develop applications that use these models. We want to design and create new interfaces and ideas to support users with these tools. The course is open to Digital Media and Computer Science students.	Dr. Nina Wenig
03-IMVP-ECL	Edge Computing Lab (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 1110 Kurs Schwerpunkt: IMVP-AI, IMVP-DMI https://lvb.informatik.uni-bremen.de/imvp/03-imvp-ecl.pdf	Peter Fereed Haddawy Prof. Dr. Anna Förster Thomas Dieter Barkowsky
03-IMVP-MPAR (03-ME-708.05)	Massively-Parallel Algorithms (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1110 Vorlesung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 1100 Übung https://lvb.informatik.uni-bremen.de/imvp/03-imvp-mpar.pdf Profil: SQ, KIKR, DMI. Schwerpunkt: SQ, AI, DMI, VMC Some prior expertise in C will be helpful. The lecture will be held in German or English, depending on demand. https://cgvr.cs.uni-bremen.de/teaching/	Prof. Dr. Gabriel Zachmann

M-MI-d ( Media Informatics in deutscher Sprache )

Course number	Title of event	Lecturer
03-IMAP-D3BV (03-MB-709.03)	Deep Learning and 3D Computer Vision Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 08:00 - 10:00 SFG 0150 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1090 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1090 Übung Profil: KIKR, DMI, MC. Schwerpunkt: IMK-VMC, IMAP-DMI, IMVP-AI Keine Doppelanerkennung mit Anwendungen der Bildverarbeitung (ABV) https://lvb.informatik.uni-bremen.de/imap/03-imap-d3bv.pdf	Udo Frese
03-IMAP-ISPS (03-MB-707.05)	Information Security: Processes and Systems Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 18:00 MZH 6200 Kurs Profil: SQ Schwerpunkt: IMAP-SQ https://lvb.informatik.uni-bremen.de/imap/03-imap-isps.pdf	Prof. Dr.-Ing. Carsten Bormann Stefanie Gerdes
03-IMAP-UUW (03-MB-711.07)	Management of Uncertain Knowledge Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 CART Rotunde - 0.67 CART 00.041 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 CART Rotunde - 0.67 Kurs Profil: KIKR, DMI Schwerpunkt: IMA-AI, IMVP-DMI, IMVP-VMC https://lvb.informatik.uni-bremen.de/imap/03-imap-uuw.pdf	Kerstin Schill Joachim Clemens
03-IMS-APMSK (03-ME-711.09)	Selected Problems of Multisensory Cognition (in English) Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 CART Rotunde - 0.67 Seminar Profil: KIKR, DMI. https://lvb.informatik.uni-bremen.de/ims/03-ims-apmsk.pdf Die Veranstaltung findet in Englischer Sprache statt.	Christop W. Zetzsche-Schill Kerstin Schill
03-IMVP-BMUSZE (03-ME-711.06)	Bio-inspired Pattern Recognition and Scene Analysis Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 CART Rotunde - 0.67 CART 0.01 (Besprechungsraum) Kurs weekly (starts in week: 1) Tue. 16:00 - 18:00 CART 0.01 (Besprechungsraum) Kurs Profil: KIKR, DMI. Schwerpunkt: IMVP-AI, IMVP-DMI, IMVP-VMC https://lvb.informatik.uni-bremen.de/imvp/03-imvp-bmusze.pdf	Christop W. Zetzsche-Schill Konrad Gadzicki

M-MT (Media Theory)

Additional courses can be found at the HfK website (http://www.hfk-bremen.de/t/digitale-medien).

Course number	Title of event	Lecturer
03-IMVA-TMP	The Machinic Project (in English) Seminar (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1450 Seminar weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1450 Seminar https://lvb.informatik.uni-bremen.de/imva/03-imva-tmp.pdf Schwerpunkt: IMVA-DMI https://bernardrobben.net/wp-content/uploads/2023/03/TheMachinicProject.pdf	Dr. Bernhard Robben Frieder Nake
09-71-A.2-1	Course 1: Mediatization (in English) Seminar (Teaching) Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 IW3 0330 (2 Teaching hours per week) Description: https://www.uni-bremen.de/fileadmin/user_upload/fachbereiche/fb9/zemki/docs/comments/comments_SoSe2024/DMS_A2_Gentzel.pdf	Prof. Dr. Peter Gentzel

M-MA-2 (Special Topics in Digital Media)

All M-MI, M-MD, M-MT courses can be taken as M-MA-2

Course number	Title of event	Lecturer
03-DMM-MA-2-ACC	Algorithms for Creative Coding Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 14:00 MZH 1110 Kurs This course is for students who have already attended a programming course and are familiar with basic programming concepts such as variables, conditionals, loops, and objects. In this course, we will extend these programming skills towards more complex actions and interactions on the screen. We will be using the Processing programming environment. The main literature will be "The Nature of Code" by Daniel Shiffman (the book is available online for free). This course is not available for students of computer science, business informatics, or systems engineering. As the course has a major overlap with my previous course "Advanced Techniques for Creative Coding in Processing" as well as with the combination of my previous courses "Programming Dynamic Environments (PDE)" and "Programming Autonomous Agents (PAA)", students who already attended these courses cannot participate. Exception: If you attended only one out of PDE and PAA, you have the option to get 3 Credit Points in this course. One main topic of this course will be autonomous agents, e.g. programs that are "intelligent" (not really ...) and make own "decisions", such as non-player characters in computer games. Some basic concepts regarding decision-making, path planning, and swarm behaviors will be introduced. We will also have a short look at evolutionary algorithms, which enable our programs to adapt over to time. Furthermore, we fill focus on objects that move, accelerate, collide, and bounce. We will explore the basic formulas and approaches that allow us to let dynamic things happen on our screens. The basic concepts and the usage of a physics engine will be explained, too.	Dr. Tim Laue
03-DMM-MA-2-ONTH	ON THINKING. Logic – algorithmic – dialectic (in English) Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1450 Seminar	Frieder Nake
03-IMS-MBCDL	Multimodal Biosignal Collection in Daily Life (in English) Seminar (Teaching) ECTS: 3 Additional dates: Wed. 03.04.24 10:00 - 12:00 Auftakttermin Wed. 10.04.24 10:00 - 12:00 CART 0.01 Wed. 08.05.24 10:00 - 12:00 CART 0.01 Wed. 29.05.24 10:00 - 12:00 CART 0.01 Wed. 26.06.24 10:00 - 12:00 CART 0.01 Auftakttermin am 03.04.2024 von 10-12h in Raum 0.01. Weitere Termine werden dann abgesprochen.	Jana Schill
03-IMVA-ACSS	Applied Computer Science in Sports (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 14:00 - 18:00 MZH 1110 Kurs Additional dates: Fri. 30.08.24 12:00 - 16:00 MZH Foyer 0. Ebene Schwerpunkt: IMVA-AI, IMVA-DMI https://lvb.informatik.uni-bremen.de/imva/03-imva-acss.pdf The aim of this course is to create an understanding of the major aspects of sports applications. The course is split into two parts: the first half has a classic lecture/tutorial style, whereas the second half will focus on the creation of individual sports applications. The lectures will explain the necessary fundamentals, such as sensor technology, user feedback, and the conduction of empirical studies, along with a number of inspiring examples. In the project part, own prototypes for sports applications are developed in small groups. The exact application as well as the technical implementation approach can be chosen freely. The final graded outcome of the course will be a small sports application about which a presentation has to be held and a documentation in a scientific paper style has to be written. The course will be held in English. Schwerpunkt: AI, DMI	Robert Porzel Dr. Tim Laue Bastian Dänekas
03-IMVA-DSS	Decision Support Systems (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 08:15 - 10:00 MZH 1110 weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1110 Vorlesung und Übung https://lvb.informatik.uni-bremen.de/imva/03-imva-dss.pdf	Dr. Marc Wyszynski Prof. Dr. Dr. Björn Niehaves Sebastian Weber Patricia Zauchner Dr. Gerhard Klassen

M-MA-2-d ( Special Topics in Digital Media in deutscher Sprache)

Course number	Title of event	Lecturer
03-IMS-FTITR (03-ME-803.08)	Advanced Legal Issues of Digital Media and ICT Rechtliche Aspekte von Virtual and Augmented Reality Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 Seminar online Profil: SQ, DMI https://lvb.informatik.uni-bremen.de/ims/03-ims-ftitr.pdf Das Seminar findet online über ZOOM statt. Im Rahmen des Seminars können 3 ECTS-Punkte erzielt werden. Dazu ist eine mündliche Präsentation - per Videokonferenz - zu einem abgestimmten Thema in einem Umfang von 20 Minuten zu erbringen sowie ein schriftliches einseitiges Handout/Abstract zu erstellen (diese sollte per E-Mail an die Lehrende geschickt werden). Zudem ist es möglich im Rahmen des Seminars 6 ECTS-Punkte zu erzielen. Dazu ist eine mündliche Präsentation - per Videokonferenz - zu einem abgestimmten Thema in einem Umfang von 20 Minuten zu erbringen sowie eine schriftliche Ausarbeitung des Themas in einem Umfang von 10 Seiten bis zum 02.07.2024 zu erstellen (die Ausarbeitung soll per E-Mail an die Lehrende versendet werden).	Prof. Dr. Iris Kirchner-Freis, LL.M.Eur.

M-MA-31 (Project Preparation)

Course number	Title of event	Lecturer
03-IBVA-DSV (03-BE-802.98a)	Data Science and Visualization (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 5600 Kurs weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 5600 Kurs Eine Doppelanerkennung von 'Data Science' und 'Data Science and Visualization' ist nicht möglich. https://lvb.informatik.uni-bremen.de/ibv/03-ibva-dsv.pdf The class will provide an introduction to data science and information visualization. For this, the programming language Python will be used (and taught). For creating data visualizations, you will be able to choose among a series of tools (e.g., Plotly, Observable, etc.) We will explore different concepts from the fields of human-computer interaction, data visualization, and computer-supported collaborative work. You will learn about: • Basic statistics • Visualization techniques • Interaction design Exploratory data analysis and evaluation, as an integral part of data science, will also be taught. The course will involve applying the learned techniques to real-world datasets to develop a custom project. This class is taught in person and in English. Use material like the coursebook to learn more about the topics as we progress in the course.	Dr. Gabriela Molina Leon

2nd academic year

Graduate Seminars

Course number	Title of event	Lecturer
03-IGRAD-agdb	Graduiertenseminar Datenbanksysteme Seminar (Teaching) Dates: weekly (starts in week: 1) Fri. 14:00 - 16:00 (2 Teaching hours per week) Graduiertenseminar	Martin Gogolla
03-IGRAD-AGDM	Graduiertenseminar Digitale Medien Colloquium (Teaching) Dates: weekly (starts in week: 1) Wed. 11:00 - 12:00	Prof. Dr. Rainer Malaka
03-IGRAD-AGIM	Graduiertenseminar IT- und Wissensmanagement Seminar (Teaching) Termine nach Vereinbarung	Prof. Dr. Andreas Breiter
03-IGRAD-agmsis	Graduiertenseminar Multisensorische interaktive Systeme Seminar (Teaching) nach Vereinbarung	Udo Frese
03-IGRAD-AGRN	Graduiertenseminar Rechnernetze Seminar (Teaching) Termine nach Vereinbarung	Ute Bormann
03-IGRAD-CGVR	Graduate Seminar Computer Graphics and Virtual Reality Seminar (Teaching) Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 Graduiertenseminar Das Graduiertenseminar findet immer am 1. Montag des Monats im MZH 3470, von 14 bis ca. 18 Uhr, statt.	Prof. Dr. Gabriel Zachmann
03-IGRAD-CoSy	Graduiertenseminar Cognitive Systems (in English) Seminar (Teaching) Dates: fortnightly (starts in week: 16) Wed. 14:00 - 17:00 Graduiertenseminar	Thomas Dieter Barkowsky
03-IGRAD-HCI	Graduiertenseminar Mensch-Computer-Interaktion Seminar (Teaching) Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00	Prof. Dr. Tanja Döring

General Studies

Concerning the language, usually you can see by the title whether a course is in English or German.

Course number	Title of event	Lecturer
03-IBFS-TSTUD	Participation in Studies Seminar (Teaching) ECTS: 1 https://lvb.informatik.uni-bremen.de/igs/03-ibfs-tstud.pdf Zu Beginn jedes Semesters findet eine Infoveranstaltung statt, wo die Scheinkriterien für Versuchspersonen erläutert werden. Außerdem werden (aufbauend auf den Inhalten von WA1) Forschungsmethoden von Studien mit Versuchspersonen vermittelt. Im weiteren Verlauf des Studiums sollen Studierende 15 Versuchspersonenstunden absolvieren (d.h. an mehreren Studien teilnehmen). Jede Studienteilnahme wird mit Versuchspersonenstunden vergütet, die in ECTS anerkannt werden können. Die Versuchspersonenstunden können über mehre Semester gesammelt werden. Die Teilnahme an den Studien soll in einer schriftlichen Ausarbeitung dokumentiert und reflektiert werden. At the beginning of each semester, an information session is held where the certificate criteria for subjects are explained. In addition, research methods of studies with test subjects are taught (building on the contents of WA1). Later in the program, students are expected to complete 15 subject hours (i.e., participate in different studies). Each study participation is compensated with subject hours, which can be recognized in ECTS. The subject hours may be accumulated over multiple semesters. Participation in the studies should be documented and reflected upon in a written paper at the end. The selection of participants is made manually after registration. Users who wish to register for this event will receive more detailed information and can then still decide against participation.	Prof. Dr. Rainer Malaka
META-2024-ALL-IF	27th International Informatica Feminale (in English) Informatica Feminale - Summer University for Women in Computing Sommeruniversität für Frauen in der Informatik /Summer University for Women in Computing Blockveranstaltung (Teaching) ECTS: 1-3 (je Kurs/for every course) 60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester 2024 sowie im Wintersemester 2024/25 anerkannt. Alle Einzelangaben, Zeiten und Anmeldungen jederzeit nur über die Website https://www.informatica-feminale.de. 60 courses in German and English for women Bachelor and Master students from all fields of study. Courses are part of General Studies, some are accepted in Informatics; in the summer semester 2024 as well as in winter semester 2024/25. Further information, schedules and registration only on the website https://www.informatica-feminale.de.	Veronika Oechtering Henrike Illig

Elementarmathematik B.A. BiPEb / M.Ed. (Grundschule)

Bachelor 2. Semester

Course number	Title of event	Lecturer
03-M-EM2-1	Mathematical Reasoning in Arithmetic and Geometry 2 (Für großes Fach) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 Vorlesung weekly (starts in week: 1) Wed. 10:00 - 12:00 GW2 B2900 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 SFG 1040 SFG 2040 Übung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1380/1400 SFG 1080 Übung weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1100 SFG 2020 Seminar weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1110 MZH 6200 Seminar weekly (starts in week: 1) Fri. 12:00 - 14:00 SFG 0150 MZH 1380/1400 GW2 B1820 Seminar weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1100 SFG 2020 Seminar weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1110 MZH 6200 Seminar weekly (starts in week: 1) Fri. 14:00 - 16:00 SFG 0150 MZH 1380/1400 GW2 B1820 Seminar Additional dates: Thu. 25.07.24 10:00 - 16:00 NW1 H 1 - H0020 Tue. 30.07.24 09:00 - 14:00 HS 2010 (Großer Hörsaal) Tue. 30.07.24 09:00 - 14:00 HS 1010 (Kleiner Hörsaal) Thu. 05.09.24 15:00 - 17:00 MZH 1380/1400 Fri. 11.10.24 10:00 - 14:00 GW1-HS H0070 Die Vorlesung findet zusammen mit der Vorlesung EMDG2a statt. Das Modul EM2 ist die zweite große Fach-Veranstaltung für Studierende mit Elementarmathematik als großes Fach. In Vorlesung (plus Tutorien) sowie Workshops werden Themen aus Arithmetik und Geometrie behandelt, die auch auf Inhalten des Moduls EM1 (Beweisen, Mengen, vollständige Induktion) aufbauen.	Dr. Christoph Duchhardt Wolters Marcel Martin Große-Schulte Birgit Reinkensmeier Stella-Liana Brannath Birgit Staffhorst Benjamin Buck

Bachelor 4. Semester

Course number	Title of event	Lecturer
03-M-EM3-1	Stochastical Thinking Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 SFG 0150 Vorlesung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 5500 Übung weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 1110 Übung Additional dates: Sat. 06.07.24 10:00 - 13:00 MZH 1380/1400 Fri. 26.07.24 10:00 - 13:00 MZH 1090 Wed. 31.07.24 10:00 - 14:00 HS 2010 (Großer Hörsaal) Wed. 21.08.24 15:00 - 16:00 MZH 5500 Fri. 11.10.24 15:00 - 18:00 MZH 1470 Dieses Modul für Studierende mit Elementarmathematik als großem Fach wird normalerweise im 4. BA-Semester gehört.	Dr. Christoph Duchhardt
03-M-EMDG2a	Mathematical Reasoning in Arithmetic and Geometry 2 (Für kleines Fach) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 NW1 H 1 - H0020 Vorlesung weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 5500 Seminar weekly (starts in week: 1) Fri. 10:00 - 12:00 GW2 B3009 (Großer Studierraum) Seminar weekly (starts in week: 1) Fri. 10:00 - 12:00 SFG 0140 Seminar weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 5500 Seminar weekly (starts in week: 1) Fri. 12:00 - 14:00 GW2 B3009 (Großer Studierraum) Seminar weekly (starts in week: 1) Fri. 12:00 - 14:00 SFG 0140 Seminar Additional dates: Wed. 22.05.24 12:00 - 14:00 SFG 1080 Wed. 05.06.24 12:00 - 14:00 SFG 1080 Wed. 03.07.24 12:00 - 14:00 SFG 1080 Die Vorlesung findet zusammen mit der Vorlesung EM2 statt. Die Veranstaltung EMDG2a ist die zweite große Fach-Veranstaltung für Studierende mit Elementarmathematik als kleinem Fach. In Vorlesung (plus Tutorien) sowie Workshops werden Themen aus Arithmetik und Geometrie behandelt, die auch auf Inhalten des Moduls EMDG1a (Beweisen, Mengen, vollständige Induktion) aufbauen.	Dr. Christoph Duchhardt Prof. Dr. Maike Vollstedt Dr. Thomas Janßen Aylin Thomaneck Kathrin Kluge

Industrial Mathematics & Data Analysis, M.Sc.

Foundations (33 CP)

Module: Modeling Project (15 CP)

Compulsory module in which you must attend the following lecture this semester:

Course number	Title of event	Lecturer
03-M-MP-1	Modeling Project (Part 1) (in English) Seminar (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 2340 Seminar Over the course of two semesters, the participants of the modeling project work in teams on a project in which they are supposed to use the mathematical knowledge they have already acquired in applications outside of mathematics. The project partners can be industrial companies or research institutes.	Tobias Kluth Peter Maaß

Area of Focus: Data Analysis (45 CP)

Area of Focus (27 CP)

The modules Special Topics Data Analysis A and Special Topics Data Analysis B (9 CP each) are mandatory. In addition, EITHER the module Special Topics Data Analysis C OR the module Advanced Communications Data Analysis (9 CP each) must be studied.

Module: Advanced Communications Data Analysis (2 x 4,5 CP = 9 CP)

Compulsory module in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Modules: Special Topics Data Analysis (A, B, and C with 9 CP each)

Compulsory modules in which you must attend one lecture each. This semester you can choose from the following lectures:

Course number	Title of event	Lecturer
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-15	Analytic and Discrete Convex Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 4140 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.	Eugenia Saorin Gomez
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Extension (18 CP)

Module: Advanced Communications Industrial Mathematics (2 x 4,5 CP = 9 CP)

Compulsory module in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Module: Special Topics Industrial Mathematics A (9 CP)

Compulsory module in which you must attend one lecture. This semester you can choose from the following lectures:

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-14	Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture Additional dates: Wed. 10.07.24 14:00 - 16:00 ZOOM Wed. 17.07.24 14:00 - 16:00 ZOOM Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30 This course provides an introduction to the practice of scientific programming.	Alfred Schmidt Prof. Dr. Stephan Frickenhaus
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-20	Digital Optimal Control and Optimal Feedback Control (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise Die Veranstaltung findet im NEOS Gebäude statt.	Prof. Dr. Christof Büskens
03-M-SP-32	Spectral Theory (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise	PD Dr. Hendrik Vogt
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Area of Focus: Industrial Mathematics (45 CP)

Area of Focus (27 CP)

The modules Special Topics Industrial Mathematics A and Special Topics Industrial Mathematics B (9 CP each) are mandatory. In addition, EITHER the module Special Topics Industrial Mathematics C OR the module Advanced Communications Industrial Mathematics (9 CP each) must be studied.

Module: Advanced Communications Industrial Mathematics (2 x 4,5 CP = 9 CP)

Compulsory module in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Modules: Special Topics Industrial Mathematics (A, B, and C with 9 CP each)

Compulsory modules in which you must attend one lecture each. This semester you can choose from the following lectures:

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-14	Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture Additional dates: Wed. 10.07.24 14:00 - 16:00 ZOOM Wed. 17.07.24 14:00 - 16:00 ZOOM Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30 This course provides an introduction to the practice of scientific programming.	Alfred Schmidt Prof. Dr. Stephan Frickenhaus
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-20	Digital Optimal Control and Optimal Feedback Control (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise Die Veranstaltung findet im NEOS Gebäude statt.	Prof. Dr. Christof Büskens
03-M-SP-32	Spectral Theory (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise	PD Dr. Hendrik Vogt
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Extension (18 CP)

Module: Advanced Communications Data Analysis (2 x 4,5 CP = 9 CP)

Compulsory module in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Module: Special Topics Data Analysis A (9 CP)

Compulsory module in which you must attend one lecture. This semester you can choose from the following lectures:

Course number	Title of event	Lecturer
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-15	Analytic and Discrete Convex Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 4140 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.	Eugenia Saorin Gomez
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Industriemathematik, B.Sc.

Vor dem ersten Semester

Course number	Title of event	Lecturer
03-M-BM	Preparation Course Mathematics at the University Bremen Blockveranstaltung (Teaching) Der Kurs findet in der zweiten und dritten Märzwoche statt. Details werden noch bekanntgegeben.	Dr. Ingolf Schäfer

Bachelor 2. Semester

Modul: Analysis 1-2 (21 CP)

Pflichtmodul im 1. und 2. Semester (zwei-semestrig), wobei im 2. Semester folgende Veranstaltungen belegt werden sollten:

Course number	Title of event	Lecturer
03-M-ANA-2.1	Analysis 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 SFG 0150 Vorlesung weekly (starts in week: 1) Fri. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 4140 Übung	PD Dr. Hendrik Vogt
03-M-ANA-2.2	Additional Topics in Analysis 2 Projektplenum (Teaching) ECTS: 1,5 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 SFG 0150 Plenum	PD Dr. Hendrik Vogt

Modul: Lineare Algebra 1-2 (21 CP)

Pflichtmodul im 1. und 2. Semester (zwei-semestrig), wobei im 2. Semester folgende Veranstaltungen belegt werden sollten:

Course number	Title of event	Lecturer
03-M-LAG-2.1	Linear Algebra 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1470 Vorlesung weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1470 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1470 Vorlesung	Eugenia Saorin Gomez
03-M-LAG-2.2	Additional Topics in Linear Algebra 2 Projektplenum (Teaching) ECTS: 1,5 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5500 Plenum Additional dates: Thu. 06.06.24 08:00 - 10:00 MZH 4140 Thu. 27.06.24 08:00 - 10:00	Eugenia Saorin Gomez

Bachelor 4. Semester und höher

Modul: Fortgeschrittene Themen Industriemathematik (9 CP)

Pflichtmodul, welches im 5. Semester belegt werden sollte. Dazu muss EINE der zugehörigen Veranstaltungen belegt werden, wobei dieses Semester aus folgenden Veranstaltungen gewählt werden kann:

Course number	Title of event	Lecturer
03-M-FTH-6	Topology Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 GW2 B1400 NUR Mi. - So. weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 7200 Vorlesung	Prof. Dr. Eva-Maria Feichtner

Modul: Funktionalanalysis (9 CP)

Pflichtmodul im 4. Semester mit folgender Veranstaltung:

Course number	Title of event	Lecturer
03-M-FANA-1	Functional Analysis Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1100 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1100 Vorlesung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1100 Übung Additional dates: Wed. 10.07.24 10:00 - 12:00 MZH 1470 Die Funktionalanalysis untersucht unendlichdimensionale Räume und die darauf definierten Operatoren.	Alfred Schmidt

Modul: Mathematisches Kommunizieren in der Industriemathematik (3 CP)

Pflichtmodul, welches im 4. Semester belegt werden sollte. Dazu muss EINE der zugehörigen Veranstaltungen belegt werden, wobei dieses Semester aus folgenden Veranstaltungen gewählt werden kann:

Course number	Title of event	Lecturer
03-M-MKOMI-1	Seminar: Industrial Mathematics Introductory seminar course (Teaching) ECTS: 3 / 5 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 1100 Promseminar Einblicke in die Industriemathematik: mathematische Modellierung, Analyse und numerische Simulationen zu wöchentlich wechselnden Anwendungsproblemen.	Ronald Stöver

Modul: Numerik 2 (9 CP)

Pflichtmodul im 4. Semester mit folgender Veranstaltung:

Course number	Title of event	Lecturer
03-M-NUM-2	Numerical Calculus 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1100 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1100 Übung Fortsetzung von Numerik~1: Entwicklung und Analyse von Algorithmen zur approximativen Lösung mathematischer Probleme, die insbesondere in industriellen Anwendungen auftreten.	Ronald Stöver

General Studies - Fachergänzende Studien

Fachergänzendes Studienangebot aus der Mathematik bzw. Industriemathematik.

Course number	Title of event	Lecturer
03-IBFW-HTO (03-BE-699.12)	Hands-on Tutorial on Optimization (in English) Blockveranstaltung (Teaching) ECTS: 3 Additional dates: Mon. 23.09.24 - Fri. 27.09.24 (Mon., Tue., Wed., Thu., Fri.) 09:00 - 17:00 MZH 5500 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-hto.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be formulated as discrete linear optimization problems. This course briefly introduces the theory of such problems. We develop a toolkit to model real-world problems as (discrete) linear programs. We also explore several ways to find integer solutions such as cutting planes, branch & bound, and column generation. Throughout the course, we learn these skills by modeling and solving, for example, scheduling, packing, matching, routing, and network-design problems. We focus on translating practical examples into mixed-integer linear programs. We learn how to use solvers (such as CPLEX and Gurobi) and tailor the solution process to certain properties of the problem. This course consists of two phases: One week Mon-Fri (full day, 9-5) of lectures and practical labs: September 23-27, in MZH. A subsequent project period: One problem has to be modeled, implemented, and solved individually or in a group of at most three students. The topic will be provided by the lecturers and will be discussed on the last day of the block course. The project including the implementation has to be presented in the beginning of the winter semester. There are no prerequisites except some basic programming skills to participate.	Prof. Dr. Nicole Megow
03-M-GS-1	Mathematics in Professional Practice Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1470 Seminar Die Mathematik lebt davon, dass abstrahiert wird. Im Studium der Mathematik und der Industriemathematik erlernt man dieses abstrakte Denken und übersieht vielleicht, wie gut dieses Studium für den Arbeitsmarkt qualifiziert. Daher soll dieses Seminar Impulse setzen und Hilfen geben, um sich mit der eigenen beruflichen Karriere auseinanderzusetzen.	Matthias Knauer
03-M-GS-7	Introduction to R (in English) Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 13:00 GW1 A0150 Seminar 3 SWS Seminar Raum wird nach Anmeldung in Stud.IP bekannt gegeben. Homepage des KKSB und Uni-Lageplan	Prof. Dr. Werner Brannath Eike Voß
03-M-GS-15	Introduction to discrete structures Seminar (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Übung weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 7200 Vorlesung/Plenum Zu den Themen, die in diesem Kurs behandelt werden, gehören: Mengenlehre, d.h. Schreibweisen, Mengenoperationen, Produkt- und Potenzmengen Beweise und Logik Kombinatorik (Variationen, Permutationen, Kombinationen, Binomialkoeffizienten, u.a.) Graphentheorie (Planare Graphen, Wege in Graphen, Färbungen, Bäume)	Anastasios Stefanou
SZHB 0622	ONLINE: English for Mathematicians and Industrial Mathematicians (Zertifikatskurs UNIcert II) (B2.3) (in English) Eingangsniveau: B2.2 Kurs (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 16:15 - 17:55 External location: Onlinekurs (2 Teaching hours per week) Kursinformationen und Onlineanmeldung unter: https://kurse.sprachenzentrum-bremen.de/course/summer-2024/282d1a14-8b09-42f2-8e14-fd3e8107a1df	Edwin Shillington

Informatik, B.Sc./M.Sc.

Bachelor Informatik

Einführung Bachelor-Informatik

Ab dem 09.10.2023 gibt es eine Woche lang allgemeine Informationen für Erstsemester, erste Vor- und Pflichtkurse, Einführungen in die Rechnerumgebung und IT-Ressourcen u.v.m.
Die Teilnahme an den Orientierungswochen wird dringend empfohlen.
Link zu den Orientierungswochen: szi.uni-bremen.de/eso/orientierungswochen

Course number	Title of event	Lecturer
03-M-BM	Preparation Course Mathematics at the University Bremen Blockveranstaltung (Teaching) Der Kurs findet in der zweiten und dritten Märzwoche statt. Details werden noch bekanntgegeben.	Dr. Ingolf Schäfer

Komplementärfach Informatik

Es handelt sich in diesem Abschnitt ausschließlich um die LVs für das Komplementärfach Informatik.
Nachfolgend die Pflicht-LVs und die LV-Auswahloptionen in „Informatik Grundlagen“, die in diesem Semester angeboten werden. Für die
LV-Auswahloptionen in „Informatik Aufbau“ siehe Abschnitt ,,Vollfach Informatik / Wahlbereich Bachelor Aufbau (IBA)..“ (d.h. alle LVs, deren VAK mit
03-IBA…“ beginnt). In „Informatik Vertiefung“ kann im Grundsatz jede Bachelor-/Master-Informatik-LV ausgewählt werden, die keinen
signifikanten inhaltlichen Überlapp mit einer bereits in einem anderen Modul belegten Lehrveranstaltung aufweist.

Course number	Title of event	Lecturer
03-DMB-MI-1-MI2 (03-B-MI-1.2)	Media Infromatics 2 Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 NW2 C0290 (Hörsaal 1) Vorlesung weekly (starts in week: 1) Tue. 14:00 - 16:00 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1100 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 6200 Übung weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1380/1400 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5600 Übung Für Informatik Studierende nach der neuen BPO ist es IBA, für Studierende nach der alten BPO ist es Fachinformatik 2. https://lvb.informatik.uni-bremen.de/dmb/03-dmb-mi-1-mi2.pdf	Udo Frese
03-DMB-MI-22-AUD	Algorithms and Data Structures Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 6) Mon. 16:00 - 18:00 MZH 1090 Übung weekly (starts in week: 6) Tue. 16:00 - 18:00 MZH 1380/1400 Vorlesung weekly (starts in week: 5) Wed. 16:00 - 18:00 MZH 1090 Übung weekly (starts in week: 5) Thu. 08:00 - 10:00 MZH 1470 Übung weekly (starts in week: 5) Thu. 14:00 - 16:00 MZH 1380/1400 Vorlesung Für Studierende der Digitalen Medien und Komplementärfach Informatik	Karsten Hölscher
03-DMB-MI-22-OOP	Objektorientierte Programmierung Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1380/1400 Vorlesung Für Studierende der Digitalen Medien und Komplementärfach Informatik. Die Vorlesung findet zusammen mit der Veranstaltung 'Algorithmen und Datenstrukturen' statt.	Karsten Hölscher
03-DMB-MI-23-TGI	Technical Basics for Informatics Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1380/1400 Übung weekly (starts in week: 1) Tue. 10:00 - 12:00 GW2 B1820 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 5500 MZH 1470 Übung weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 1470 Übung Nicht für Vollfach-Informatik-Studierende anrechenbar.	Stefanie Gerdes
03-IBGA-AI	Introduction to Ethical, Legal and Social Aspects of Computing Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1110 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 5500 Übung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 5500 Übung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 GW2 B3009 (Großer Studierraum) Vorlesung Die Tutorien beginnen in der 2. Semesterwoche	Prof. Dr. Andreas Breiter
03-IBGA-IUG	Computer and Society Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 1090 Seminar weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 1090 Seminar weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1090 Seminar weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1090 Seminar weekly (starts in week: 1) Fri. 16:00 - 18:00 MZH 1090 Seminar Additional dates: Fri. 26.04.24 12:00 - 16:00 MZH 1380/1400 Fri. 28.06.24 15:00 - 19:00 SFG 1010 Sat. 29.06.24 09:00 - 17:00 MZH 1380/1400 Thu. 11.07.24 13:00 - 19:00 MZH 1090 Fri. 12.07.24 09:00 - 18:00 MZH 1090 „Informatik und Gesellschaft“ richtet sich zum einen an Bachelor-Studierende der Informatik und wird JEDES Semester (Sommer- wie Wintersemester) angeboten. In der Regel besuchen Informatik-Bachelor-Studierende diesen Kurs im zweiten oder dritten Fachsemester. Zum anderen sind interessierte Studierende anderer Fächer herzlich eingeladen, an „Informatik und Gesellschaft“ teilzunehmen. Viele der behandelten Themen sind im Kern interdisziplinär und unterschiedliche fachliche Hintergründe sind damit in der Regel sehr bereichernd. Der Beginn und die gemeinsame Vorbesprechung dieses Kurses findet am Freitag 05. April 2024. von 12 bis 14 Uhr im MZH 1090 statt. An dem genannten Termin erfolgen im Plenum die Vorstellung des Kurses, die Klärung der organisatorischen Abläufe und der Scheinbedingungen. Außerdem erfolgt an diesem Termin die Aufteilung der Teilnehmer*innen auf die einzelnen Seminar-Termine. Daher finden vor dieser Vorbesprechung auch noch keine Seminartermine statt. Die Veranstaltung wird überwiegend als Präsenzveranstaltung stattfinden. Im weiteren Verlauf der Veranstaltung kann es vereinzelte online-Termine geben (z.B. zur Beratung der einzelnen Arbeitsgruppen) - insb die Präsentation der Referate (aufgeteilt in mehrere Seminargruppen) wir aber auf jeden Fall in Präsenz stattfinden.	Ralf Eric Streibl
03-IBGP-DBM	Foundations of Data Bases and Modeling Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 HS 2010 (Großer Hörsaal) Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 NW2 C0290 (Hörsaal 1) Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 HS 2010 (Großer Hörsaal) Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 GW2 B3009 (Großer Studierraum) Fragestunde Additional dates: Mon. 30.09.24 10:00 - 13:00 NW1 H 1 - H0020 Mon. 30.09.24 10:00 - 13:00 HS 2010 (Großer Hörsaal) Für WInf-Studierende BPO '13 im zweiten Semester weitere 3 CP in Freie Wahl als Ersatz für SWP1. Für fortgeschrittene SysEng-Studierende als Ersatz für SWP1. Für Studierende, die an der Vorlesung nicht teilnehmen können, gibt es eine Aufzeichnung des Vorlesungsanteils aus dem vorigen Jahr.	Prof. Dr. Sebastian Maneth

Bachelor 2. Semester

Bachelor 2. Semester

Course number	Title of event	Lecturer
03-DMB-MI-1-MI2 (03-B-MI-1.2)	Media Infromatics 2 Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 NW2 C0290 (Hörsaal 1) Vorlesung weekly (starts in week: 1) Tue. 14:00 - 16:00 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1100 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 6200 Übung weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1380/1400 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5600 Übung Für Informatik Studierende nach der neuen BPO ist es IBA, für Studierende nach der alten BPO ist es Fachinformatik 2. https://lvb.informatik.uni-bremen.de/dmb/03-dmb-mi-1-mi2.pdf	Udo Frese
03-IBFW-C++ (03-BA-700.12b)	Introductory Course C/C++ Blockveranstaltung (Teaching) ECTS: 2 Additional dates: Mon. 16.09.24 08:30 - 17:00 GW2 B3009 (Großer Studierraum) Tue. 17.09.24 08:30 - 13:00 GW2 B3009 (Großer Studierraum) Wed. 18.09.24 08:00 - 13:00 GW2 B1410 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-c++.pdf Das Modul kann nur in der freien Wahl angerechnet werden. Der Kurs findet vom ??? bis ??? ganztägig statt. Mittwoch, den ??? von ??? Programmiertest im Testcenter. Die Inhalte dieser Veranstaltung werden für Technische Informatik 2 (Studiengang Informatik) und Computergraphik vorausgesetzt. Mit dem abschließenden Programmiertest können 2 ECTS für "freie Wahl" (unbenotet) erworben werden.	Olaf Bergmann
03-IBGA-IUG	Computer and Society Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 1090 Seminar weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 1090 Seminar weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1090 Seminar weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1090 Seminar weekly (starts in week: 1) Fri. 16:00 - 18:00 MZH 1090 Seminar Additional dates: Fri. 26.04.24 12:00 - 16:00 MZH 1380/1400 Fri. 28.06.24 15:00 - 19:00 SFG 1010 Sat. 29.06.24 09:00 - 17:00 MZH 1380/1400 Thu. 11.07.24 13:00 - 19:00 MZH 1090 Fri. 12.07.24 09:00 - 18:00 MZH 1090 „Informatik und Gesellschaft“ richtet sich zum einen an Bachelor-Studierende der Informatik und wird JEDES Semester (Sommer- wie Wintersemester) angeboten. In der Regel besuchen Informatik-Bachelor-Studierende diesen Kurs im zweiten oder dritten Fachsemester. Zum anderen sind interessierte Studierende anderer Fächer herzlich eingeladen, an „Informatik und Gesellschaft“ teilzunehmen. Viele der behandelten Themen sind im Kern interdisziplinär und unterschiedliche fachliche Hintergründe sind damit in der Regel sehr bereichernd. Der Beginn und die gemeinsame Vorbesprechung dieses Kurses findet am Freitag 05. April 2024. von 12 bis 14 Uhr im MZH 1090 statt. An dem genannten Termin erfolgen im Plenum die Vorstellung des Kurses, die Klärung der organisatorischen Abläufe und der Scheinbedingungen. Außerdem erfolgt an diesem Termin die Aufteilung der Teilnehmer*innen auf die einzelnen Seminar-Termine. Daher finden vor dieser Vorbesprechung auch noch keine Seminartermine statt. Die Veranstaltung wird überwiegend als Präsenzveranstaltung stattfinden. Im weiteren Verlauf der Veranstaltung kann es vereinzelte online-Termine geben (z.B. zur Beratung der einzelnen Arbeitsgruppen) - insb die Präsentation der Referate (aufgeteilt in mehrere Seminargruppen) wir aber auf jeden Fall in Präsenz stattfinden.	Ralf Eric Streibl
03-IBGP-DBM	Foundations of Data Bases and Modeling Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 HS 2010 (Großer Hörsaal) Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 NW2 C0290 (Hörsaal 1) Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 HS 2010 (Großer Hörsaal) Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 GW2 B3009 (Großer Studierraum) Fragestunde Additional dates: Mon. 30.09.24 10:00 - 13:00 NW1 H 1 - H0020 Mon. 30.09.24 10:00 - 13:00 HS 2010 (Großer Hörsaal) Für WInf-Studierende BPO '13 im zweiten Semester weitere 3 CP in Freie Wahl als Ersatz für SWP1. Für fortgeschrittene SysEng-Studierende als Ersatz für SWP1. Für Studierende, die an der Vorlesung nicht teilnehmen können, gibt es eine Aufzeichnung des Vorlesungsanteils aus dem vorigen Jahr.	Prof. Dr. Sebastian Maneth
03-IBGP-PI2 (03-BA-700.02)	Practical Computer Science 2 für Studierende der Informatik, Wirtschaftsinformatik und Systems Engineering Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 1090 Übung weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 1100 Übung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1090 Übung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1450 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 HS 2010 (Großer Hörsaal) Vorlesung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1100 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 5600 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1090 GW2 B1410 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1450 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 5500 Übung weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 6200 Übung Additional dates: Thu. 29.08.24 14:00 - 16:00 GW2 B1170 Für Komplemetärfach Informatik, berufliche Weiterbildung und Digi-Med Studierende gibt es 03-DMB-MI-22-OOP Objektorientierte Programmierung und 03-DMB-MI-22_AUD2 Algorithmen und Datenstrukturen.	Thomas Röfer
03-IBGP-TI1 (03-BA-700.11)	Computer Engineering 1: Computer Architecture and Digital Circuits Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 1470 Übung weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 5500 Übung weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 5600 Übung weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 6200 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 5500 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 1450 Übung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 6200 Übung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1450 Übung weekly (starts in week: 1) Thu. 08:00 - 10:00 HS 2010 (Großer Hörsaal) NW1 H 1 - H0020 Vorlesung	Prof. Dr. Rolf Drechsler Christina Sophie Viola Plump
03-IBGT-M2	Mathematics 2 Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 1090 Übung weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 5600 Übung weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 1470 Übung weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 5500 Übung weekly (starts in week: 1) Tue. 08:00 - 10:00 NW1 H 1 - H0020 Vorlesung weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 5600 Übung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 5600 Übung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1090 Übung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1110 Übung Additional dates: Tue. 16.07.24 08:00 - 11:00 HS 2010 (Großer Hörsaal) Thu. 18.07.24 08:00 - 10:00 MZH 5500 Wed. 02.10.24 14:00 - 18:00 MZH 1380/1400 Studierende der Digitalen Medien BPO'16 erhalten zusätzlich 2CP.	Dr. Tim Haga
04-V07-B-001	Einführung in Systems Engineering inkl. Lehrprojekt Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Fri. 12:00 - 14:00 IW3 0330 Additional dates: Thu. 22.08.24 10:00 - 12:00 IW3 0330	Prof. Dr.-Ing. Kirsten Tracht Dr.-Ing. Stefan Patzelt, Dipl.-Phys.

Bachelor 4. Semester und Folgende

Zusätzlich zu den nachfolgend aufgeführten Veranstaltungen gelten für die Freie Wahl auch die Angebote der \"General Studies\" (soweit diese nicht inhaltlich mit den Lehrveranstaltungen des Studiengangs Informatik überlappen). Bachelor-Studierende der BPO\'10 müssen in ihrem Studium zudem zwei Module außerhalb der Informatik erbringen (Fach \"General Studies\" innerhalb der Bachelor-Prüfungsordnung). Studierende der BPO\'20 müssen 9 CP General Studies erbringen.

Course number	Title of event	Lecturer
03-I-LVÜ	Überblick über das Wahlangebot im Fach Informatik Lecture (Teaching) Die Veranstaltung gibt einen Überblick über das Wahlangebot im Fach Informatik für die Studiengänge Bachelor und Master Informatik, Bachelor Digitale Medien, Bachelor Wirtschaftsinformatik sowie Bachelor und Master Systems Engineering. Die Veranstaltung findet online asynchron statt.	Ute Bormann
03-IBGA-AI	Introduction to Ethical, Legal and Social Aspects of Computing Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1110 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 5500 Übung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 5500 Übung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 GW2 B3009 (Großer Studierraum) Vorlesung Die Tutorien beginnen in der 2. Semesterwoche	Prof. Dr. Andreas Breiter
03-IBGP-SWP (03-BA-901.02)	Software-Projekt (reSWP) Practical training (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1100 Praktikum Nur für Wiederholer:innen. Das Kick-Off Meeting findet online statt. Mit Zusatzleistung als SWP 2 (03-BA-901.02) nach alter PO anrechenbar. Für WInf-Studierende, die SWP2 wiederholen müssen: Zusammen mit 3 weiteren CP in Freie Wahl als Ersatz für SWP2.	Karsten Hölscher
03-IBGP-SWP1Ersatz	Planung und Durchführung von Software-Projekten Lecture (Teaching) ECTS: 3 Die Veranstaltung findet online asynchron statt. Zusammen mit DBM Ersatz für SWP1. Kurzbeschreibung: Diese Veranstaltung ist nur für Informatik/Wirtschaftsinformatik-Bachelorstudierende ab 4. Sem. Sie ersetzt in Kombination mit der Veranstaltung ,,Datenbankgrundlagen und Modellierung“ (s. Lehrangebot 2. Semester) das nicht mehr angebotene Modul ,,Softwareprojekt 1“. Ziel der Veranstaltung ist die Vermittlung grundlegender Kenntnisse bzgl. der Planung und Durchführung von Softwareprojekten. Dazu werden ausgewählte Aspekte von Software-Entwicklungsprozessen, der Projektplanung, der Anforderungsanalyse, des Architekturentwurfs und des Testens beleuchtet.	Karsten Hölscher Dr. Hui Shi
03-IBGT-M3	Mathematics 3 Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 08:00 - 10:00 HS 1010 (Kleiner Hörsaal) Vorlesung und Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 6200 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1380/1400 Übung weekly (starts in week: 1) Fri. 12:00 - 14:00 NW2 C0290 (Hörsaal 1) Vorlesung und Übung Additional dates: Mon. 22.07.24 14:00 - 18:00 Thu. 25.07.24 09:30 - 12:30 HS 2010 (Großer Hörsaal) Tue. 01.10.24 09:30 - 12:30 NW1 H 1 - H0020	Dr. Martin Scharpenberg
03-IBGT-THI2 (03-BA-601.02)	Theoretical Computer Science 2: Models of Computation and Complexity Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1100 Übung weekly (starts in week: 1) Mon. 14:00 - 16:00 NW1 H 1 - H0020 Vorlesung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 5500 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1380/1400 Übung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1090 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 1090 Fragestunde weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 5600 Übung weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1090 Übung weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 1380/1400 Übung Additional dates: Wed. 12.06.24 08:00 - 09:30 MZH 1090	Prof. Dr. Sebastian Siebertz

Bachelorprojekte

Bachelorprojekte 6. Semester

Course number	Title of event	Lecturer
03-IBPJ-AICI	Projekt AI x City ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 8100 Projekt-Plenum	Prof. Dr. Dr. Björn Niehaves Dr. Gerhard Klassen Luca Tom Bauer
03-IBPJ-BHUM	Projekt B-Human (WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 12:00 CART Rotunde - 0.67 Projekt-Plenum Additional dates: Fri. 15.03.24 13:00 - 15:00 MZH Foyer 0. Ebene Fri. 22.03.24 11:00 - 13:00 MZH Foyer 0. Ebene Fri. 05.04.24 11:00 - 13:00 MZH Foyer 0. Ebene Wed. 10.04.24 08:00 - 22:00 MZH Foyer 0. Ebene Fri. 12.04.24 11:00 - 13:00 MZH Foyer 0. Ebene Fri. 07.06.24 10:00 - 15:00 MZH Foyer 0. Ebene Fri. 14.06.24 10:00 - 15:00 MZH Foyer 0. Ebene Fri. 21.06.24 10:00 - 15:00 MZH Foyer 0. Ebene Fri. 28.06.24 10:00 - 15:00 MZH Foyer 0. Ebene Sat. 29.06.24 10:00 - 20:00 MZH Foyer 0. Ebene Fri. 05.07.24 10:00 - 15:00 MZH Foyer 0. Ebene	Thomas Röfer Dr. Tim Laue
03-IBPJ-COLLVR	Projekt CollabVR ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 8100 Projekt-Plenum In CollabVR steht die Erstellung eines Kollaborationsraumes in VR und anschließender wissenschaftliche Bewertung der Kollaboration im Vordergrund. Es werden Grundlagen zu Theorie, modernen Kollaborations Technologien und Einsatzgebiete vermittelt. Im Fokus steht die selbsständige Erarbeiten eines Kollaborationraumskonzepts in VR.	Prof. Dr. Dr. Björn Niehaves Dr. Marc Wyszynski Sebastian Weber Raphael Palombo Dulce Maria Villegas Nunez
03-IBPJ-DANA	Projekt DeepAnatomy (WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 1470 Projekt-Plenum Additional dates: Fri. 24.05.24 16:00 - 20:00 MZH 1100	Prof. Dr.-Ing. Horst Karl Hahn (Dozent) Felix Thielke, M. Sc (Dozent) Dr. Hans Meine (Dozent)
03-IBPJ-ELO4F	Projekt ELO4Future ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 1450 Projekt-Plenum	Prof. Dr. Rolf Drechsler Christopher Metz Christina Sophie Viola Plump
03-IBPJ-MOB4D	Projekt Mobile4D (WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 1380/1400 Projekt-Plenum	Thomas Dieter Barkowsky
03-IBPJ-SEEIA	Projekt SEEIA ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 08:00 - 14:00 MZH 3150 Projekt-Plenum	Prof. Dr. Rainer Koschke
03-IBPJ-SUT	Projekt SUTURO (WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 6200 Projekt-Plenum	Michael Beetz
03-IBPJ-SYNR	Projekt Synchrone Realitäten (WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 12:00 CART 1.05 (Projektraum Lehre) Projekt-Plenum	Dr. Serge Autexier

Wahlbereich Bachelor-Aufbau (IBA) / Bachelor-Basis (BB)

IBAT / BB-6: Theoretische Informatik und Mathematik

BPO 2020: mindestens ein Lehrangebot aus dieser Kategorie wählen. Auch nutzbar für IBA und IBVT (und Freie Wahl).
BPO 2010: Für ,,Bachelor - TheoInfWahl`` ein Lehrangebot aus dieser Kategorie wählen. Auf Antrag auch Lehrangebote aus den Kategorien IBVT, IMAT, IMVT oder ein fortgeschrittenes Mathematik-Modul möglich. IBAT-Lehrangebote auch für \'Informatik-Wahl\' (und Freie Wahl) nutzbar.

Course number	Title of event	Lecturer
03-IBAT-KS (03-BB-699.08)	Correct Software: Foundations and Methods Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 5600 Kurs weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 5600 Kurs Nähere Informationen unter http://www.informatik.uni-bremen.de/~clueth/lehre/ksgm.ss22 https://lvb.informatik.uni-bremen.de/ibat/03-ibat-ks.pdf	Christoph Lüth Dr. Serge Autexier
03-IBAT-LO (03-BB-605.01)	Logic Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 5500 Kurs weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 5600 Kurs Profil: SQ, KIKR https://lvb.informatik.uni-bremen.de/ibat/03-ibat-lo.pdf	Prof. Dr. Sebastian Siebertz
03-IBAT-OR (03-BB-699.01)	Operations Research Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Mon. 14:00 - 16:00 MZH 1380/1400 Vorlesung weekly (starts in week: 2) Tue. 08:00 - 10:00 MZH 6200 Übung weekly (starts in week: 2) Wed. 14:00 - 16:00 MZH 6200 Übung Additional dates: Tue. 30.07.24 10:00 - 13:00 MZH 1090 Wed. 02.10.24 10:00 - 13:00 MZH 6200 https://lvb.informatik.uni-bremen.de/ibat/03-ibat-or.pdf	Dr. Felix Christian Hommelsheim Dr. Jens Schlöter
03-IBAT-PN (03-BB-699.02)	Petri Nets Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1090 weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 1090 https://lvb.informatik.uni-bremen.de/ibat/03-ibat-pn.pdf	Dr. Sabine Kuske

IBAP / BB-7: Praktische und Technische Informatik

BPO 2020. mindestens ein Lehrangebot aus dieser Kategorie wählen. Auch nutzbar für IBA und IBVP (und Freie Wahl).
BPO 2010: Für ,,Bachelor - PrakTechInfWahl`` zwei Lehrangebote aus dieser Kategorie wählen: Keine Ausnahmeanträge.
IBAP-Lehrangebote auch für \'Informatik-Wahl\' (und Freie Wahl) nutzbar.

Course number	Title of event	Lecturer
03-IBAP-KI (03-BB-710.01)	Foundations of Artificial Intelligence Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1380/1400 Übung Additional dates: Tue. 13.08.24 13:00 - 16:00 HS 1010 (Kleiner Hörsaal) Schwerpunkt: AI https://lvb.informatik.uni-bremen.de/ibap/03-ibap-ki.pdf	Michael Beetz
03-IBAP-ML (03-BB-710.10)	Fundamentals of Machine Learning (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1380/1400 GW2 B1820 Übung Additional dates: Wed. 12.06.24 08:00 - 09:30 MZH 1380/1400 Tue. 23.07.24 14:00 - 16:00 NW1 H 1 - H0020 Schwerpunkt: AI https://lvb.informatik.uni-bremen.de/ibap/03-ibap-ml.pdf Die Übungen starten in der 2. Semesterwoche.	Tanja Schultz Felix Putze Darius Ivucic Gabriel Ivucic Zhao Ren
03-IBAP-MRCA	Modern Robot Control Architectures (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 DFKI RH1 B0.10 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 DFKI RH1 B0.10 Übung https://lvb.informatik.uni-bremen.de/ibap/03-ibap-mrca.pdf Robotics is a complex field that emerged at the intersection of multiple disciplines such as physics, mathematics and computer science. New advances in hardware and software design and progress in artificial intelligence enable robotics research to pursue higher goals and achieve increased autonomy in various environments. For instance, robots can operate in disaster zones for search and rescue operations, can be employed in rehabilitation and healthcare, space and underwater exploration, etc. Given the complexity of such scenarios, it is essential to develop robust robotic systems with a high degree of autonomy, able to assist humans in difficult and tedious tasks. This course aims to provide the fundamentals of modern robot control approaches that enable robotic agents to operate in the environment autonomously. The course introduces a basic understanding of autonomous robots, along with tools and methods to control various types of mobile robotic platforms and manipulators. Firstly, the course presents the types of sensors and actuators employed in autonomous robotic platforms. Secondly, it offers a formal understanding of the robot geometry, its kinematic and dynamic models. Finally, the course provides methods and approaches to control the robotic system from a deliberative and reactive point of view. Students will put this knowledge into practice during tutorials and exercise sheets using Python implementation and robot simulations. Contents Introduction to Robotics and AI: long term robot autonomy, artificial intelligence, deliberative vs. reactive control, robotic applications. Sensing and Actuation Modalities: types of sensors and actuators, sensor fusion, actuator control. Robot Geometry and Transformations: robot transformations in the 3D space, exponential and logarithmic maps, forward and inverse geometric models. Kinematics: definition of twists and wrenches for rigid bodies, geometric Jacobian formulation, forward and inverse kinematics. Dynamics: an introduction to Lagrangian and Newtonian mechanics, robot dynamics formulation, recursive Newton-Euler algorithm. Localization: direct and probabilistic methods for robot localization, odometry, global localization, particle filter. Path Planning: path vs. trajectory generation, graph-based methods for path planning (e.g. Djikstra, A\*). Kinodynamic Planning: transcribing a dynamic planning problem into trajectory optimization, direct and indirect methods, costs and constraints. Reinforcement Learning-based Control: mathematical foundations, discrete vs continuous methods, reinforcement learning for closed-loop robot control. Dynamic Control: PD gravity compensation control, computed torque control, admittance vs impedance control. Optimal Control: energy-shaping control, LQR and time-varying LQR control. Learning Outcomes At the end of the course, the student is expected to be able to: Define robot autonomy and list its key aspects. Describe the sensor and actuator modalities used in robotics, and explain their relevance for robot control. Implement and understand the low-level actuator control methods. Compute the 3D world coordinate transformations for rigid bodies. Apply the robot forward and inverse geometric model. Describe a robotic system based on its kinematic and dynamic properties. Use probabilistic methods for robot localization. Generate an optimal path for a mobile robot or manipulator using graph search methods. Plan a path taking into account the robot kinodynamic properties. Use reinforcement learning methods to control simple robotic systems. Apply dynamical and optimal control methods on robotic systems such that they are robust against disturbances. Assess the strengths and limitations of different control methods presented in the course. Identify open challenges in robotics research and current trends in state-of-the-art. Communicate confidently using the terminology in the field of robotics. Cooperate and work in teams in order to solve tasks. Examination During the semester, students are required to complete 6 worksheets in groups of 4. To pass the course, students must achieve a minimum of 50% on both the worksheets and the written exam. The final grade is 40% based on worksheets and 60% on the written exam. References Mechanics of Robotic Manipulation, Mathew T. Masen, MIT press, 2001. Algebra and Geometry, Alan F. Beardon, Cambridge University Press, 2005. Modelling and Control of Robot Manipulators, Lorenzo Sciavicco, Bruno Siciliano, Springer, 2000. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents), Sebastian Thrun, Wolfram Burgard, and Dieter Fox, MIT Press, 2005. Introduction to Autonomous Mobile Robots, Siegwart R., Nourbakhsh I., Scaramuzza D., MIT press, 2011. Automated Planning: Theory and Practice, Malik Ghallab, Dana Nau, Paolo Traverso, Elsevier, 2004. Behaviour-based robotics, R. C. Arkin, MIT press, 1998. Modern Robotics: Mechanics, Planning, and Control, Kevin M. Lynch and Frank C. Park, Cambridge University Press, 2017.	Frank Kirchner M. Sc. Mihaela Popescu (Organizer) M. Sc Jonas Haack
03-IBAP-RN (03-BB-704.01)	Computer Networks Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung Online weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 6200 Kurs weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 6200 Kurs https://lvb.informatik.uni-bremen.de/ibap/03-ibap-rn.pdf	Ute Bormann
03-IBAP-ÜB (03-BB-705.02)	Compiler Construction Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 5500 Vorlesung weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 5500 Übung https://lvb.informatik.uni-bremen.de/ibap/03-ibap-ub.pdf	Thomas Röfer

IBAA / BB-8: Angewandte Informatik

BPO 2020: Nutzbar für IBA und IBVA (und Freie Wahl).
BPO 2010: Für ,,Bachelor - AnwInfWahl`` ein Lehrangebot aus dieser Kategorie wählen: IBAA.
Auf Antrag auch Lehrangebot aus den Kategorien IBVA, IMAA, INVA möglich. IBAA-Lehrangebote auch für \'Informatik-Wahl\' (und Freie Wahl) nutzbar.

Course number	Title of event	Lecturer
03-DMB-MI-1-MI2 (03-B-MI-1.2)	Media Infromatics 2 Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 NW2 C0290 (Hörsaal 1) Vorlesung weekly (starts in week: 1) Tue. 14:00 - 16:00 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1100 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 6200 Übung weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1380/1400 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5600 Übung Für Informatik Studierende nach der neuen BPO ist es IBA, für Studierende nach der alten BPO ist es Fachinformatik 2. https://lvb.informatik.uni-bremen.de/dmb/03-dmb-mi-1-mi2.pdf	Udo Frese
03-IBAA-BUB (03-BB-899.11)	Biosignals and User Interfaces Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1090 Vorlesung fortnightly (starts in week: 1) Thu. 14:00 - 16:00 MZH 6200 Übung Additional dates: Mon. 08.07.24 09:00 - 12:00 MZH 1380/1400 https://lvb.informatik.uni-bremen.de/ibaa/03-ibaa-bub.pdf	Tanja Schultz Dr.-Ing. Hui Liu Jana Schill M. Sc Asmus Eike Eilks
03-IBAA-GOVTEC	Government Technology Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 5600 Vorlesung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 5600 Übung https://lvb.informatik.uni-bremen.de/ibaa/03-ibaa-govtec.pdf Die digitale Transformation des öffentlichen Sektors wird mit einer Fülle an unterschiedlichen Technologien vorangetrieben, die es ermöglichen, Prozesse zu automatisieren, die Effizienz zu steigern und die Interaktion mit Bürger*innen zu verbessern. Im Rahmen des Moduls Government Technology haben die Studierenden die Möglichkeit, solche Technologien anhand von Praxisbeispielen kennenzulernen und zu vertiefen. Hierbei werden auch die Chancen und Risiken der verschiedenen Technologien beleuchtet, um ein umfassendes Verständnis für deren Einsatz im öffentlichen Sektor zu erlangen. Dabei spielen Themen wie Künstliche Intelligenz, Blockchain, Robotic Process Automation und Mixed Reality eine wichtige Rolle. Im Rahmen des Moduls Government Technology haben die Studierenden nicht nur die Möglichkeit, theoretische Konzepte kennenzulernen, sondern auch anhand von realen Beispielen zu vertiefen. Hierbei werden konkrete Anwendungen und Projekte aus dem öffentlichen Sektor vorgestellt, die bereits mit den genannten Technologien umgesetzt wurden. Dabei lernen die Studierenden nicht nur die technischen Aspekte kennen, sondern auch die Herausforderungen, die bei der Einführung und Nutzung solcher Technologien im öffentlichen Sektor auftreten können.	Dr. Gerhard Klassen Prof. Dr. Dr. Björn Niehaves Luca Tom Bauer
03-IBAA-ITM (03-BB-802.01)	IT Management Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 1380/1400 Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1470 Vorlesung https://lvb.informatik.uni-bremen.de/ibaa/03-ibaa-itm.pdf	Prof. Dr. Andreas Breiter

Wahlbereich Bachelor-Vertiefung (IBV) / Bachelor-Ergänzung (BE)

BPO 2010: weitere Lehrangebote für BE unter IBFW
IBV-Lehrangebote regulär für \'Informatik-Wahl\' (und Freie Wahl) nutzbar.

IBVT / BE-6: Theoretische Informatik und Mathematik

BPO 2010: Nutzbar für IBVT (und Freie Wahl).

Course number	Title of event	Lecturer
03-M-GS-7	Introduction to R (in English) Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 13:00 GW1 A0150 Seminar 3 SWS Seminar Raum wird nach Anmeldung in Stud.IP bekannt gegeben. Homepage des KKSB und Uni-Lageplan	Prof. Dr. Werner Brannath Eike Voß

IBVP / BE-7: Praktische und Technische Informatik

BPO 2010: Nutzbar für IBVP (und Freie Wahl).

Course number	Title of event	Lecturer
IBVP-AKR	Actionable Knowledge Representation (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 Vorlesung weekly (starts in week: 1) Tue. 12:00 - 14:00 Übung Die Veranstaltung findet im TAB in Raum 0.30 statt. https://lvb.informatik.uni-bremen.de/ibv/03-ibvp-akr.pdf This course deals with the idea of bringing knowledge into applications to support users in daily life. It therefore covers topics on how knowledge can be represented to be machine-understandable, how knowledge can be acquired from different sources (including Web scraping) and how such different knowledge chunks can be linked. It will further discuss how to reason about knowledge and how different agents like websites, AR applications or robots can use knowledge to support users in their daily life. All exercises will be available in platform-independent jupyter notebooks based on python and have low software requirements.	Robert Porzel Michaela Kümpel

IBVA / BE-8: Angewandte Informatik

BPO 2010: Nutzbar für IBVA (und Freie Wahl).

Course number	Title of event	Lecturer
03-IBVA-DSV (03-BE-802.98a)	Data Science and Visualization (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 5600 Kurs weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 5600 Kurs Eine Doppelanerkennung von 'Data Science' und 'Data Science and Visualization' ist nicht möglich. https://lvb.informatik.uni-bremen.de/ibv/03-ibva-dsv.pdf The class will provide an introduction to data science and information visualization. For this, the programming language Python will be used (and taught). For creating data visualizations, you will be able to choose among a series of tools (e.g., Plotly, Observable, etc.) We will explore different concepts from the fields of human-computer interaction, data visualization, and computer-supported collaborative work. You will learn about: • Basic statistics • Visualization techniques • Interaction design Exploratory data analysis and evaluation, as an integral part of data science, will also be taught. The course will involve applying the learned techniques to real-world datasets to develop a custom project. This class is taught in person and in English. Use material like the coursebook to learn more about the topics as we progress in the course.	Dr. Gabriela Molina Leon

Freie Wahl inkl. Seminare - IBFW / BE

Informationen zum Thema General Studies findet ihr auch hier: https://www.szi.uni-bremen.de/wp-content/uploads/2021/10/GSListe.pdf

Course number	Title of event	Lecturer
03-IBFW-BBDC (03-BE-711.98d)	Bremen Big Data Challenge Seminar (Teaching) ECTS: 3 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-bbdc.pdf Inhalt: Das Seminar beschäftigt sich mit der Big-Data-Aufgabe der diesjährigen Bremen Big Data Challenge (BBDC). Die Teilnehmer:innen des Seminars stellen ihre Lösung der Aufgabe in einer Ausarbeitung im Umfang von sechs Seiten und in einer Präsentation vor den anderen Teilnehmer:innen vor. Weitere Details zur Challenge: https://bbdc.csl.uni-bremen.de Ziele: Die Teilnehmer:innen erarbeiten, unterstützt durch eine:n Betreuer:inn, selbständig eine Lösung für die aktuelle Bremen Big Data Challenge. Sie lernen und vertiefen dabei ihre Kenntnisse der Datenanalyse und des Maschinellen Lernens anhand eines praktischen Beispiels. Die Studierenden lernen präzise ihr Vorgehen und Ergebnisse in einem wissenschaftlichen Format zusammenzufassen und zu präsentieren. Ablauf: Der Kickoff Termin ist der 08.04.2024 10:00 - 11:00, Cartesium 2.43, hier werden Scheinbedingungen und Fragen geklärt und ein/e Betreuer:in ausgelost. Der Abschlusstermin findet am 24.05.2024 von 12:00-13:00, Cartesium 0.41 statt und wird en-block durchgeführt. Hier stellen die Studierenden ihre Lösungsansätze in einer kurzen Posterpräsentation vor. Sprache: Die primäre Sprache ist Deutsch. Englische Ausarbeitung und Vorträge sind ebenfalls möglich und erwünscht. Modulkürzel: Der Kurs ist im Handbuch und in Studip mit folgendem Kürzel gelistet: 03-BE-711.98d Anrechnungen im Bachelor und Master möglich.	Tanja Schultz Felix Putze M. Sc Yale Hartmann Moritz Meier
03-IBFW-HTO (03-BE-699.12)	Hands-on Tutorial on Optimization (in English) Blockveranstaltung (Teaching) ECTS: 3 Additional dates: Mon. 23.09.24 - Fri. 27.09.24 (Mon., Tue., Wed., Thu., Fri.) 09:00 - 17:00 MZH 5500 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-hto.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be formulated as discrete linear optimization problems. This course briefly introduces the theory of such problems. We develop a toolkit to model real-world problems as (discrete) linear programs. We also explore several ways to find integer solutions such as cutting planes, branch & bound, and column generation. Throughout the course, we learn these skills by modeling and solving, for example, scheduling, packing, matching, routing, and network-design problems. We focus on translating practical examples into mixed-integer linear programs. We learn how to use solvers (such as CPLEX and Gurobi) and tailor the solution process to certain properties of the problem. This course consists of two phases: One week Mon-Fri (full day, 9-5) of lectures and practical labs: September 23-27, in MZH. A subsequent project period: One problem has to be modeled, implemented, and solved individually or in a group of at most three students. The topic will be provided by the lecturers and will be discussed on the last day of the block course. The project including the implementation has to be presented in the beginning of the winter semester. There are no prerequisites except some basic programming skills to participate.	Prof. Dr. Nicole Megow
03-IBFW-PBVML (03-BE-709.10)	Seminar on visual languages Blockveranstaltung (Teaching) ECTS: 3 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-pbvml.pdf Das Proseminar findet als Blockveranstaltung online statt. Der Termin wird den Interessenten rechtzeitig mitgeteilt	PD Dr. Björn Gottfried

Fachergänzende Studien

Course number	Title of event	Lecturer
03-IBFS-RMIS	Research Methods in Information Systems Blockveranstaltung (Teaching) ECTS: 6 Additional dates: Wed. 10.04.24 16:00 - 17:30 8090 Sat. 27.04.24 10:00 - 18:00 8090 Sat. 01.06.24 10:00 - 18:00 8090 Sat. 15.06.24 10:00 - 18:00 8090 Fri. 05.07.24 16:00 - 17:30 8090 https://lvb.informatik.uni-bremen.de/igs/03-ibfs-rmis.pdf	Bastian Kordyaka Luca Tom Bauer
03-IBFS-TSTUD	Participation in Studies Seminar (Teaching) ECTS: 1 https://lvb.informatik.uni-bremen.de/igs/03-ibfs-tstud.pdf Zu Beginn jedes Semesters findet eine Infoveranstaltung statt, wo die Scheinkriterien für Versuchspersonen erläutert werden. Außerdem werden (aufbauend auf den Inhalten von WA1) Forschungsmethoden von Studien mit Versuchspersonen vermittelt. Im weiteren Verlauf des Studiums sollen Studierende 15 Versuchspersonenstunden absolvieren (d.h. an mehreren Studien teilnehmen). Jede Studienteilnahme wird mit Versuchspersonenstunden vergütet, die in ECTS anerkannt werden können. Die Versuchspersonenstunden können über mehre Semester gesammelt werden. Die Teilnahme an den Studien soll in einer schriftlichen Ausarbeitung dokumentiert und reflektiert werden. At the beginning of each semester, an information session is held where the certificate criteria for subjects are explained. In addition, research methods of studies with test subjects are taught (building on the contents of WA1). Later in the program, students are expected to complete 15 subject hours (i.e., participate in different studies). Each study participation is compensated with subject hours, which can be recognized in ECTS. The subject hours may be accumulated over multiple semesters. Participation in the studies should be documented and reflected upon in a written paper at the end. The selection of participants is made manually after registration. Users who wish to register for this event will receive more detailed information and can then still decide against participation.	Prof. Dr. Rainer Malaka
03-IBFW-EIUG	Ergänzung Informatik und Gesellschaft Seminar (Teaching) ECTS: 3 Nur für Studierende, die IUG belegt haben, und nach Absprache mit dem Dozenten. Zeiten und Räume wie IUG	Ralf Eric Streibl

Master Informatik

Einführung Master-Informatik

Course number	Title of event	Lecturer
03-I-LVÜ	Überblick über das Wahlangebot im Fach Informatik Lecture (Teaching) Die Veranstaltung gibt einen Überblick über das Wahlangebot im Fach Informatik für die Studiengänge Bachelor und Master Informatik, Bachelor Digitale Medien, Bachelor Wirtschaftsinformatik sowie Bachelor und Master Systems Engineering. Die Veranstaltung findet online asynchron statt.	Ute Bormann
03-IM-INTRO	Einführungsveranstaltung Master Informatik Alle Erstsemester im Masterstudiengang Informatik werden gebeten, an der offiziellen Einführungsveranstaltung teilzunehmen Lecture (Teaching) Additional dates: Tue. 02.04.24 08:30 - 10:00 MZH 6200 Diese Veranstaltung richtet sich ausdrücklich an alle Studienanfänger im Masterstudium Informatik - unabhängig davon, ob sie neu an die Uni Bremen kommen oder hier bereits das Bachelorstudium absolviert haben. Es wird ein Überblick über die wesentlichen Rahmenbedingungen und Formalia des Masterstudiums Informatik gegeben, ferner werden wichtige organisatorische Fragen und Prozesse besprochen.	Ute Bormann

Pflicht Master

Masterstudierende der Informatik können das Modul \'Projektmanagement und Wissenschaftskultur\' auch über diese Lehrveranstaltung abdecken.

Course number	Title of event	Lecturer
03-IMG-PMWK (03-MA-904.0) (	project management and scientific culture Vorbereitung auf das Projekt-Studium im Masterstudiengang Informatik Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 08:00 - 12:00 CART Rotunde - 0.67 CART 0.01 (Besprechungsraum) Kurs Neben organisatorischen Themen wird in der ersten Veranstaltung die Prüfungsleistung besprochen. Die endgültige Gruppenfindung wird am xxxxx abgeschlossen. Der Einstieg in den Kurs ist nur bis zu diesem Zeitpunkt möglich! Erster Veranstaltungstermin ist der ???? um 10:15h !	Dr. Jörn Syrbe Michael Beetz

Wahlbereich Master-Aufbau (IMA) / Master-Basis (MB)

Nach der Prüfunsordnung von 2020 heißt dieser Bereich Master-Aufbau (IMA), nach der Prüfungsordnung von 2012 Master-Basis (MB).

IMAT / MB-6 - Theoretische Informatik und Mathematik

Nach MPO 2020 und MPO 2012 mindestens ein Lehrangebot aus dieser Kategorie wählen.
Nach MPO 2012 auf Antrag auch IMVT-Lehrangebot oder fortgeschrittenes Mathematik-Lehrangebot möglich.

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-IMAT-BL (03-MB-605.01)	Description Logic Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1470 Kurs weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1110 Kurs Additional dates: Tue. 06.08.24 14:00 - 16:00 MZH 1470 https://lvb.informatik.uni-bremen.de/imat/03-imat-bl.pdf Profil: KIKR, DMI Schwerpunkt: IMA-AI, IMVT-DMI	Prof. Dr. Sebastian Siebertz
03-IMAT-GSD (03-MB-699.04)	Foundations of Security Analysis and Design Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1470 Vorlesung weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 5600 Übung Profil: SQ Schwerpunkt: IMA-SQ https://lvb.informatik.uni-bremen.de/imat/03-imat-gsd.pdf	Dieter Hutter
03-IMAT-PK (03-ME-602.22)	Parameterized Complexity Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 3150 Vorlesung weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 3150 Übung https://lvb.informatik.uni-bremen.de/imat/03-imat-pk.pdf Profil: SQ Schwerpunkt: IMVT-SQ	Prof. Dr. Sebastian Siebertz
03-IMAT-TRS (03-MB-699.03)	Theory of Reactive Systems Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 6200 Vorlesung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 4140 Übung Profil: SQ, KIKR. Schwerpunkt: IMVT-SQ, IMVT-AI https://lvb.informatik.uni-bremen.de/imat/03-imat-trs.pdf	Wen-Ling Huang

IMAP / MB-7 - Praktische und technische Informatik

Nach MPO 2020 mindestens ein Lehrangebot aus dieser Kategorie wählen. Nach MPO 2012 zwei Lehrangebote aus dieser Kategorie wählen.

Course number	Title of event	Lecturer
03-IMAP-ACG (03-MB-708.02)	Advanced Computer Graphics Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 6200 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1090 Übung Profil: KIKR, DMI, MC. Schwerpunkt: IMAP-VMC, IMAP-DMI, IMVP-AI https://lvb.informatik.uni-bremen.de/imap/03-imap-acg.pdf The lecture will be held in German or English, depending on demand. Most of the homework and assignments of this course will be practical ones. Decent programming skills in C++ are required to work on those. https://cgvr.cs.uni-bremen.de/teaching/	Prof. Dr. Gabriel Zachmann
03-IMAP-AML	Advanced Machine Learning (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 6200 Übung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1450 Übung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1380/1400 Vorlesung Profil: KIKR Schwerpunkt: IMAP-AI, IMA-VMC https://lvb.informatik.uni-bremen.de/imap/03-imap-aml.pdf	Tanja Schultz Felix Putze
03-IMAP-D3BV (03-MB-709.03)	Deep Learning and 3D Computer Vision Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 08:00 - 10:00 SFG 0150 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1090 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1090 Übung Profil: KIKR, DMI, MC. Schwerpunkt: IMK-VMC, IMAP-DMI, IMVP-AI Keine Doppelanerkennung mit Anwendungen der Bildverarbeitung (ABV) https://lvb.informatik.uni-bremen.de/imap/03-imap-d3bv.pdf	Udo Frese
03-IMAP-DIS (03-MB-703.02)	Design of Information Systems (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1450 Vorlesung weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1110 Übung Profil: SQ. Schwerpunkt: IMVP-DMI, IMVP-SQ https://lvb.informatik.uni-bremen.de/imap/03-imap-dis.pdf Die Veranstaltung ist inhaltlich identisch mit "Entwurf von Informationssystemen" (keine Doppelanerkennung möglich).	Martin Gogolla
03-IMAP-ISPS (03-MB-707.05)	Information Security: Processes and Systems Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 18:00 MZH 6200 Kurs Profil: SQ Schwerpunkt: IMAP-SQ https://lvb.informatik.uni-bremen.de/imap/03-imap-isps.pdf	Prof. Dr.-Ing. Carsten Bormann Stefanie Gerdes
03-IMAP-RL (03-ME-712.03)	Reinforcement Learning (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 DFKI RH1 B0.10 Kurs weekly (starts in week: 1) Thu. 16:00 - 18:00 DFKI RH1 B0.10 Kurs Profil: KIKR. Schwerpunkt: IMA-AI, IMVP-VMC https://lvb.informatik.uni-bremen.de/imap/03-imap-rl.pdf	Frank Kirchner Melvin Laux
03-IMAP-SECORO	Software Engineering for Cognitive Robots (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1090 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1090 Übung https://lvb.informatik.uni-bremen.de/imap/03-imap-secoro.pdf	Nico Hochgeschwender
03-IMAP-UUW (03-MB-711.07)	Management of Uncertain Knowledge Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 CART Rotunde - 0.67 CART 00.041 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 CART Rotunde - 0.67 Kurs Profil: KIKR, DMI Schwerpunkt: IMA-AI, IMVP-DMI, IMVP-VMC https://lvb.informatik.uni-bremen.de/imap/03-imap-uuw.pdf	Kerstin Schill Joachim Clemens

IMAA / MB-8 - Angewandte Informatik

Nach MPO 2012 ein Lehrangebot aus dieser Kategorie wählen; auf Antrag auch IMVA-Lehrangebot möglich.

Course number	Title of event	Lecturer
03-IMAA-CTHCI	Current Topics in Human Computer Interaction (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Wed. 10:00 - 14:00 SFG 0150 Kurs Profil: DMI Schwerpunkt: IMA-DMI, IMA-VMC https://lvb.informatik.uni-bremen.de/imaa/03-imaa-cthci.pdf	Prof. Dr. Tanja Döring
03-IMAA-EC (03-MB-804.03)	Entertainment Computing (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 6200 Vorlesung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 6200 Übung Profil: DMI Schwerpunkt: IMK-DMI, IMA-VMC https://lvb.informatik.uni-bremen.de/imaa/03-imaa-ec.pdf	Prof. Dr. Rainer Malaka Rachel Ringe Leon Tristan Dratzidis Nima Zargham
03-IMAA-HCIT (03-MB-899.22)	Healthcare IT Ringvorlesung zur Bewertung des aktuellen Stands medizinischer IT-Infrastrukturen und -Lösungen sowie künftiger Herausforderungen Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 Fraunhofer MEVIS - Raum Mandelbrot 0.14 Vorlesung weekly (starts in week: 1) Mon. 16:00 - 18:00 Fraunhofer MEVIS - Raum Mandelbrot 0.14 Übung Schwerpunkt: IMA-VMC https://lvb.informatik.uni-bremen.de/imaa/03-imaa-hcit.pdf Die Veranstaltung findet in den Räumen vom Fraunhofer MEVIS Institut statt, Max-von-Laue-Str. 2, 28359 Bremen	Prof. Dr.-Ing. Horst Karl Hahn
03-IMAA-IMS	Introduction to intelligent marine systems Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1110 Vorlesung Additional dates: Tue. 30.04.24 12:15 - 14:00 MARUM I Haupteingang Treffen 12:15 Profil: KIKR Schwerpunkt: IMVA-AI Die Vorlesung „Einführung in Intelligent Marine Systeme“ setzt sich aus drei Hauptelementen zusammen: 1. Vermittlung der Grundlagen die beim Entwurf und der Entwicklung mariner Systeme, vornehmlich Unterwasser-Systeme, zu berücksichtigen sind. Dazu gehören neben der Vorstellung der verschiedenen Systemkonzepte wie z.B. Remotely Operated Vehicles (ROV) und Autonomous Underwater Vehicles (AUV) und der Sensorik auch Methoden der Navigation, Kommunikation, Antrieb, Energieversorgung und Steuerung. 2. Gastvorträge von Entwicklern, Anwendern und potenzieller Nutzer mit Besuch des des MARUM. Gastvorträge (bestätigt): Kraken Robotik GmbH ROSEN Technology and Research Center GmbH 3. Ein, mit den TeilnehmerInnen, zusammen entwickeltes und ausgearbeitetes Systemkonzept, welches auf die verschiedenen meerestechnisch spezifischen Gesichtspunkte (siehe 1.) eingeht. (Präsentation, Peer-evaluation) Ziele der Vorlesung: • Grundlegendes Verständnis der marinen Umwelt im Kontext technischer Systeme • Verständnis der spezifischen Herausforderungen mariner Systeme gegenüber terrestrischen Systemlösungen • Übersicht über den gegenwärtigen Stand der Technik bei mobilen und stationären Systemen • Übersicht der verschiedenen Sensormodalitäten, die gegenwärtig eingesetzt werden • Fähigkeit ein einfaches Systemkonzeptunter Berücksichtigung der maritimen Randbedingungen zusammenzustellen. Prüfungsform: Individuelles Fachgespräch oder mündliche Prüfung Peer evaluierte Präsentation (ausgeführt in Kleingruppen: 2-3 Personen)	Prof. Dr. Ralf Bachmayer
03-IMAA-MAD (03-ME-804.06)	Mobile App Development (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 6200 Vorlesung weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 6200 Übung Profil: DMI Schwerpunkt: IMA-DMI, IMVA-DMI https://lvb.informatik.uni-bremen.de/imva/03-imva-mad.pdf Die Veranstaltung richtet sich an Studenten der Informatik und Digitalen Medien. In Gruppenarbeit sollen die Studierenden semesterbegleitend ein App-Projekt umsetzen. In der Vorlesung werden alle relevanten Informationen der modernen Softwareentwicklung, mit Fokus auf die mobile App-Entwickung, vermittelt. Dazu gehören Themen wie mobiles Testing, Scrum, UX Design, Evaluation & Nutzertests, Design Patterns und Cross-Plattform-Entwicklung. Das Ziel dabei ist die Vermittlung von praxisrelevantem Wissen aus dem Alltag eines erfolgreichen Unternehmens.	Prof. Dr. Rainer Malaka David Ruh Nicolas Autzen

Wahlbereich Master-Vertiefung (IMV) / Master-Ergänzung (ME)

MPO 2012: weitere ME-Angebote unter Wahlbereich IMS/ME und unter General Studies IMGS

IMVT / ME-6 - Theoretische Informatik

Course number	Title of event	Lecturer
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt

IMVP / ME-7 - Praktische Informatik

Course number	Title of event	Lecturer
03-IMVP-ACA	Advanced Computer Architecture (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 5600 Vorlesung weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 5600 Übung	Prof. Dr. Rolf Drechsler Dr. Kamalika Datta
03-IMVP-BMUSZE (03-ME-711.06)	Bio-inspired Pattern Recognition and Scene Analysis Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 CART Rotunde - 0.67 CART 0.01 (Besprechungsraum) Kurs weekly (starts in week: 1) Tue. 16:00 - 18:00 CART 0.01 (Besprechungsraum) Kurs Profil: KIKR, DMI. Schwerpunkt: IMVP-AI, IMVP-DMI, IMVP-VMC https://lvb.informatik.uni-bremen.de/imvp/03-imvp-bmusze.pdf	Christop W. Zetzsche-Schill Konrad Gadzicki
03-IMVP-ECL	Edge Computing Lab (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 1110 Kurs Schwerpunkt: IMVP-AI, IMVP-DMI https://lvb.informatik.uni-bremen.de/imvp/03-imvp-ecl.pdf	Peter Fereed Haddawy Prof. Dr. Anna Förster Thomas Dieter Barkowsky
03-IMVP-GME (03-ME-711.05)	Brain-Pattern-Recognition Blockveranstaltung (Teaching) ECTS: 6 Profil: KIKR. Schwerpunkt: IMVP-AI https://lvb.informatik.uni-bremen.de/imvp/03-imvp-gme.pdf 10-tägige Blockveranstaltung am Ende des Semesters (genauer Zeitraum wird in Absprache festgelegt). Voranmeldung per stud.ip notwendig (Anzahl Teilnehmende begrenzt).	Felix Putze
03-IMVP-LSPD	Logic Synthesis and Physical Design (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1100 Übung Schwerpunkt: IMVP-SQ https://lvb.informatik.uni-bremen.de/imvp/03-imvp-lspd.pdf	Prof. Dr. Marcel Walter
03-IMVP-MAS (03-ME-710.20)	Multi-Agent Systems: Technologies, Design, and Simulation Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1450 Kurs weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1450 Kurs Profil: KIKR. Schwerpunkt: IMVP-AI https://lvb.informatik.uni-bremen.de/imvp/03-imvp-mas.pdf 2 SWS Vorlesung und 2 SWS Übung.	Prof. Dr. Stefan Bosse, Dipl.-Phys.
03-IMVP-MPAR (03-ME-708.05)	Massively-Parallel Algorithms (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1110 Vorlesung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 1100 Übung https://lvb.informatik.uni-bremen.de/imvp/03-imvp-mpar.pdf Profil: SQ, KIKR, DMI. Schwerpunkt: SQ, AI, DMI, VMC Some prior expertise in C will be helpful. The lecture will be held in German or English, depending on demand. https://cgvr.cs.uni-bremen.de/teaching/	Prof. Dr. Gabriel Zachmann
03-IMVP-PROSY	Programmsynthese Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1090 Vorlesung weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 5500 Übung https://lvb.informatik.uni-bremen.de/imvp/03-imvp-prosy.pdf Schwerpunkt: IMVP-SQ	Mario Gleirscher
03-IMVP-TCRS	Trustworthy Cognitive Robots and Systems (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 5600 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1450 Übung Additional dates: Wed. 29.05.24 13:00 - 14:00 https://uni-bremen.zoom-x.de/j/67174967283?pwd=U2N4K0F0bnlIUWUwUU1ONGFrZ1NWUT09 https://lvb.informatik.uni-bremen.de/imvp/03-imvp-tcrs.pdf Schwerpunkt: IMVP-AI	Nico Hochgeschwender
03-IMVP-UCNB	Unconventional Computing: Nanotech and Biochips (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1450 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1450 Übung https://lvb.informatik.uni-bremen.de/imvp/03-imvp-ucnb.pdf	Prof. Dr. Marcel Walter
03-IMVP-ÜP (03-ME-705.03)	Compiler-Lab Blockveranstaltung (Teaching) ECTS: 6 Profil: SQ Schwerpunkt: IMVP-SQ https://lvb.informatik.uni-bremen.de/imvp/03-imvp-up.pdf Die Veranstaltung wird nach Abstimmung mit den Teilnehmern als Blockkurs in den Semesterferien stattfinden.	Thomas Röfer
03-IMVP-VPP	Distributed and Parallel Programming (with VMs) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 4140 MZH 1110 Kurs weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 5500 Kurs Additional dates: Wed. 14.08.24 10:00 - 12:00 MZH5500 Profil: SQ Schwerpunkt: IMVP-SQ, IMVP-AI https://lvb.informatik.uni-bremen.de/imvp/03-imvp-vpp.pdf zzgl.2 SWS nach Vereinbarung	Prof. Dr. Stefan Bosse, Dipl.-Phys.

IMVA / ME-8 - Angewandte Informatik

Course number	Title of event	Lecturer
03-IMVA-ACSS	Applied Computer Science in Sports (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 14:00 - 18:00 MZH 1110 Kurs Additional dates: Fri. 30.08.24 12:00 - 16:00 MZH Foyer 0. Ebene Schwerpunkt: IMVA-AI, IMVA-DMI https://lvb.informatik.uni-bremen.de/imva/03-imva-acss.pdf The aim of this course is to create an understanding of the major aspects of sports applications. The course is split into two parts: the first half has a classic lecture/tutorial style, whereas the second half will focus on the creation of individual sports applications. The lectures will explain the necessary fundamentals, such as sensor technology, user feedback, and the conduction of empirical studies, along with a number of inspiring examples. In the project part, own prototypes for sports applications are developed in small groups. The exact application as well as the technical implementation approach can be chosen freely. The final graded outcome of the course will be a small sports application about which a presentation has to be held and a documentation in a scientific paper style has to be written. The course will be held in English. Schwerpunkt: AI, DMI	Robert Porzel Dr. Tim Laue Bastian Dänekas
03-IMVA-DSS	Decision Support Systems (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 08:15 - 10:00 MZH 1110 weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1110 Vorlesung und Übung https://lvb.informatik.uni-bremen.de/imva/03-imva-dss.pdf	Dr. Marc Wyszynski Prof. Dr. Dr. Björn Niehaves Sebastian Weber Patricia Zauchner Dr. Gerhard Klassen
03-IMVA-EI (03-ME-899.03)	Embodied Interaction (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1110 Kurs weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1110 Kurs Profil: DMI. Schwerpunkt: IMVA-DMI, IMVA-VMC https://lvb.informatik.uni-bremen.de/imva/03-imva-ei.pdf	Robert Porzel Prof. Dr. Rainer Malaka
03-IMVA-GAC	Generative AI and Creativity - Understanding the Impact on Digital Media (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1470 Kurs weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1470 Seminar 4 SWS, Schwerpunkt: IMVA-DMI https://lvb.informatik.uni-bremen.de/imva/03-imva-gac.pdf In this seminar, we want to investigate current tools and models (e.g., Dall-E2, ChatGPT) for creating content. We will discuss the idea and design and the implications for artists, developers, and researchers. Therefore, we will read current research papers and develop applications that use these models. We want to design and create new interfaces and ideas to support users with these tools. The course is open to Digital Media and Computer Science students.	Dr. Nina Wenig
03-IMVA-TMP	The Machinic Project (in English) Seminar (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1450 Seminar weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1450 Seminar https://lvb.informatik.uni-bremen.de/imva/03-imva-tmp.pdf Schwerpunkt: IMVA-DMI https://bernardrobben.net/wp-content/uploads/2023/03/TheMachinicProject.pdf	Dr. Bernhard Robben Frieder Nake

Wahlbereich IMS / ME - Master Seminare

Course number	Title of event	Lecturer
03-DMM-MA-2-ONTH	ON THINKING. Logic – algorithmic – dialectic (in English) Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1450 Seminar	Frieder Nake
03-IMS-AIS	Seminar on Autonomous and Intelligent Systems (in English) Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 DFKI RH1 B0.10 Seminar https://lvb.informatik.uni-bremen.de/ims/03-ims-ais.pdf Profil: KIKR	Frank Kirchner Melvin Laux Dr. Lisa Gutzeit
03-IMS-APKS (03-ME-711.35)	Selected problems of cognitive systems Seminar (Teaching) ECTS: 3 Profil: KIKR, DMI. Modul "Spezielle Themen der kognitiven Systeme". https://lvb.informatik.uni-bremen.de/ims/03-ims-apks.pdf Einführungstermin 09.04.2024 um 11 Uhr. Ort: Cartesium Raum 2.43	Tanja Schultz Felix Putze
03-IMS-APMSK (03-ME-711.09)	Selected Problems of Multisensory Cognition (in English) Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 CART Rotunde - 0.67 Seminar Profil: KIKR, DMI. https://lvb.informatik.uni-bremen.de/ims/03-ims-apmsk.pdf Die Veranstaltung findet in Englischer Sprache statt.	Christop W. Zetzsche-Schill Kerstin Schill
03-IMS-CNT	Computational Nanotechnologies (in English) Blockveranstaltung (Teaching) ECTS: 3 Additional dates: Wed. 03.04.24 14:00 - 16:00 MZH 4380 (AGRA-Raum) Genaue Block-Zeiten werden noch bekanntgegeben. Der Einführungstermin findet am 03.04.2024 in Raum 4380 statt. https://lvb.informatik.uni-bremen.de/ims/03-ims-cnt.pdf	Prof. Dr. Marcel Walter
03-IMS-COML	Combinatorial Opimization and Machine Learning Seminar (Teaching) ECTS: 3 Additional dates: Wed. 10.04.24 10:00 - 12:00 MZH 3150 https://lvb.informatik.uni-bremen.de/ims/03-ims-coml.pdf Students are expected to read and thoroughly understand original research papers, and to deliver an oral presentation and a write up. Organizational meeting: Wednesday, April 10, at 10:00 am in the room MZH 3150. We will discuss the organization and allocate the research articles in the first meeting. Please register with StudIP. The seminar is planned as a block seminar, meaning that all talks will be at up to three days, one in the middle of the semester and two in the end of the semester. We will discuss this in the first meeting. This seminar focusses on recent research at the interplay of combinatorial optimization and machine learning. Both fields provide important methods for solving various real-world problems. On the one hand, we study how machine learning techniques can improve well-established solution methods for NP-hard discrete optimization problems. How can untrusted prediction, e.g., machine-learned, be used to derived provable guarantees for the performance of online algorithms? How can machine learning accelerate existing optimization methods? On the other hand, combinatorial optimization problems are increasingly important in machine learning. We will study particular relevant problems such as clustering, feature selection and submodular function optimization.	Dr. Felix Christian Hommelsheim
03-IMS-FTITR (03-ME-803.08)	Advanced Legal Issues of Digital Media and ICT Rechtliche Aspekte von Virtual and Augmented Reality Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 Seminar online Profil: SQ, DMI https://lvb.informatik.uni-bremen.de/ims/03-ims-ftitr.pdf Das Seminar findet online über ZOOM statt. Im Rahmen des Seminars können 3 ECTS-Punkte erzielt werden. Dazu ist eine mündliche Präsentation - per Videokonferenz - zu einem abgestimmten Thema in einem Umfang von 20 Minuten zu erbringen sowie ein schriftliches einseitiges Handout/Abstract zu erstellen (diese sollte per E-Mail an die Lehrende geschickt werden). Zudem ist es möglich im Rahmen des Seminars 6 ECTS-Punkte zu erzielen. Dazu ist eine mündliche Präsentation - per Videokonferenz - zu einem abgestimmten Thema in einem Umfang von 20 Minuten zu erbringen sowie eine schriftliche Ausarbeitung des Themas in einem Umfang von 10 Seiten bis zum 02.07.2024 zu erstellen (die Ausarbeitung soll per E-Mail an die Lehrende versendet werden).	Prof. Dr. Iris Kirchner-Freis, LL.M.Eur.
03-IMS-ICPS	Assuring Intelligent Cyper-Physical Systems Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 1100 Seminar https://lvb.informatik.uni-bremen.de/ims/03-ims-icps.pdf	Mario Gleirscher
03-IMS-MBCDL	Multimodal Biosignal Collection in Daily Life (in English) Seminar (Teaching) ECTS: 3 Additional dates: Wed. 03.04.24 10:00 - 12:00 Auftakttermin Wed. 10.04.24 10:00 - 12:00 CART 0.01 Wed. 08.05.24 10:00 - 12:00 CART 0.01 Wed. 29.05.24 10:00 - 12:00 CART 0.01 Wed. 26.06.24 10:00 - 12:00 CART 0.01 Auftakttermin am 03.04.2024 von 10-12h in Raum 0.01. Weitere Termine werden dann abgesprochen.	Jana Schill
03-IMS-SRSE	Seminar on Topics in Robot Software Engineering (in English) Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 4140 Seminar https://lvb.informatik.uni-bremen.de/ims/03-ims-srse.pdf	Nico Hochgeschwender

Wahlbereich IMPJ - Master-Projekte

Course number	Title of event	Lecturer
03-IMPJ-ATAC	Project ATACAMA ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 12 Dates: weekly (starts in week: 1) Fri. 12:00 - 18:00 MZH 6200 Projekt-Plenum Additional dates: Fri. 16.02.24 13:00 - 16:00 Fri. 16.02.24 14:00 - 16:00 Fri. 01.03.24 12:00 - 18:00 MZH 6200 Fri. 08.03.24 13:00 - 15:00 MZH 5500 Fri. 15.03.24 13:00 - 16:00 MZH 1450 Fri. 15.03.24 14:00 - 16:00 MZH 6200 Fri. 22.03.24 12:00 - 18:00 MZH 6200 Fri. 29.03.24 12:00 - 18:00 MZH 6200 Fri. 12.07.24 12:00 - 18:00 MZH 6200 Fri. 19.07.24 12:00 - 18:00 MZH 6200 Fri. 26.07.24 12:00 - 18:00 MZH 6200 Fri. 02.08.24 12:00 - 18:00 MZH 6200 Fri. 09.08.24 12:00 - 18:00 MZH 6200 Fri. 16.08.24 12:00 - 18:00 MZH 6200 Fri. 23.08.24 12:00 - 18:00 MZH 6200 Fri. 30.08.24 12:00 - 18:00 MZH 6200 Fri. 06.09.24 12:00 - 18:00 MZH 6200 Fri. 13.09.24 12:00 - 18:00 MZH 6200 Fri. 20.09.24 12:00 - 18:00 MZH 6200 Fri. 27.09.24 12:00 - 18:00 MZH 6200 Schwerpunkt: SQ	Ute Bormann
03-IMPJ-E2EP	Project E2E-Player ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 12 Dates: weekly (starts in week: 1) Fri. 09:00 - 12:00 CART 0.01 (Besprechungsraum) Projekt-Plenum Schwerpunkt: AI	Kerstin Schill
03-IMPJ-INAI	Project InsideAI ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 12 Dates: weekly (starts in week: 1) Fri. 10:00 - 14:00 MZH 5600 Projekt-Plenum Additional dates: Fri. 02.02.24 10:00 - 14:00 letzter Tag vom Semester = alles belegt Fri. 09.02.24 10:00 - 14:00 MZH 5500 Fri. 16.02.24 10:00 - 14:00 MZH 5500 Fri. 23.02.24 10:00 - 14:00 MZH 6200 Fri. 01.03.24 10:00 - 14:00 MZH 5600 Fri. 08.03.24 10:00 - 14:00 MZH 5600 Fri. 15.03.24 10:00 - 14:00 MZH 6200 Fri. 22.03.24 10:00 - 14:00 MZH 5600 Schwerpunkt: AI	Prof. Dr. Sebastian Maneth

General Studies

Grundsätzlich können die CP in General Studies im Sinne von Freie Wahl verwendet werden. Die nachfolgend aufgeführten Lehrangebote sind daher nur Beispiele. Weitere Informationen, insbesondere Einschränkungen finden sich unter:
https://www.szi.uni-bremen.de/wp-content/uploads/2021/10/GSListe.pdf

IMGS - Veranstaltungen des Master-Studiengangs Informatik

Course number	Title of event	Lecturer
03-IBFS-TSTUD	Participation in Studies Seminar (Teaching) ECTS: 1 https://lvb.informatik.uni-bremen.de/igs/03-ibfs-tstud.pdf Zu Beginn jedes Semesters findet eine Infoveranstaltung statt, wo die Scheinkriterien für Versuchspersonen erläutert werden. Außerdem werden (aufbauend auf den Inhalten von WA1) Forschungsmethoden von Studien mit Versuchspersonen vermittelt. Im weiteren Verlauf des Studiums sollen Studierende 15 Versuchspersonenstunden absolvieren (d.h. an mehreren Studien teilnehmen). Jede Studienteilnahme wird mit Versuchspersonenstunden vergütet, die in ECTS anerkannt werden können. Die Versuchspersonenstunden können über mehre Semester gesammelt werden. Die Teilnahme an den Studien soll in einer schriftlichen Ausarbeitung dokumentiert und reflektiert werden. At the beginning of each semester, an information session is held where the certificate criteria for subjects are explained. In addition, research methods of studies with test subjects are taught (building on the contents of WA1). Later in the program, students are expected to complete 15 subject hours (i.e., participate in different studies). Each study participation is compensated with subject hours, which can be recognized in ECTS. The subject hours may be accumulated over multiple semesters. Participation in the studies should be documented and reflected upon in a written paper at the end. The selection of participants is made manually after registration. Users who wish to register for this event will receive more detailed information and can then still decide against participation.	Prof. Dr. Rainer Malaka

Veranstaltungen aus anderen Studiengängen (Auswahl)

Course number	Title of event	Lecturer
01-ET-MA-Pat(a)-V	Patente, Schutzrechte und Geistiges Eigentum Lecture (Teaching) ECTS: 3 Blockkurs Ende September	Dr. rer. nat. Holger Veenhuis (LB) Prof. Dr. Kai Michels
04-M30-CEM-SFI-1	On Board Data Handling (in English) Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 IW3 0200	Dr. rer. nat. Frank Dannemann

Graduiertenseminare

Course number	Title of event	Lecturer
03-IGRAD-AGDATA	Graduiertenseminar Datenbanken Seminar (Teaching)	Prof. Dr. Sebastian Maneth
03-IGRAD-agdb	Graduiertenseminar Datenbanksysteme Seminar (Teaching) Dates: weekly (starts in week: 1) Fri. 14:00 - 16:00 (2 Teaching hours per week) Graduiertenseminar	Martin Gogolla
03-IGRAD-AGDM	Graduiertenseminar Digitale Medien Colloquium (Teaching) Dates: weekly (starts in week: 1) Wed. 11:00 - 12:00	Prof. Dr. Rainer Malaka
03-IGRAD-AGIM	Graduiertenseminar IT- und Wissensmanagement Seminar (Teaching) Termine nach Vereinbarung	Prof. Dr. Andreas Breiter
03-IGRAD-agki	Graduiertenseminar Theorie der Künstlichen Intelligenz Seminar (Teaching) Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 (2 Teaching hours per week) Graduiertenseminar	N. N.
03-IGRAD-agmsis	Graduiertenseminar Multisensorische interaktive Systeme Seminar (Teaching) nach Vereinbarung	Udo Frese
03-IGRAD-AGRA	Graduiertenseminar Rechnerarchitektur Seminar (Teaching) Das Graduiertenseminar findet nach Vereinbarung statt.	Prof. Dr. Rolf Drechsler
03-IGRAD-AGRN	Graduiertenseminar Rechnernetze Seminar (Teaching) Termine nach Vereinbarung	Ute Bormann
03-IGRAD-AGROBO	Graduiertenseminar Robotik Seminar (Teaching) Dates: weekly (starts in week: 1) Wed. 13:00 - 14:00 (1 Teaching hours per week) Graduiertenseminar	Frank Kirchner
03-IGRAD-CGVR	Graduate Seminar Computer Graphics and Virtual Reality Seminar (Teaching) Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 Graduiertenseminar Das Graduiertenseminar findet immer am 1. Montag des Monats im MZH 3470, von 14 bis ca. 18 Uhr, statt.	Prof. Dr. Gabriel Zachmann
03-IGRAD-CoSy	Graduiertenseminar Cognitive Systems (in English) Seminar (Teaching) Dates: fortnightly (starts in week: 16) Wed. 14:00 - 17:00 Graduiertenseminar	Thomas Dieter Barkowsky
03-IGRAD-CSL	Graduiertenseminar Spezielle Themen der Kognitiven Systeme Seminar (Teaching) Dates: weekly (starts in week: 1) Wed. 14:00 - 15:45 CART Rotunde - 0.67 nach Vereinbarung	Tanja Schultz
03-IGRAD-CSLog	Graduiertenseminar Combinatorial Optimization Seminar (Teaching) Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 3150 nach Vereinbarung	Prof. Dr. Nicole Megow
03-IGRAD-HCI	Graduiertenseminar Mensch-Computer-Interaktion Seminar (Teaching) Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00	Prof. Dr. Tanja Döring
03-IGRAD-softtech	Graduiertenseminar Softwaretechnik Seminar (Teaching) nach Vereinbarung	Prof. Dr. Rainer Koschke
03-IGRAD-ThI	Graduiertenseminar Theoretische Informatik Seminar (Teaching) Das Graduiertenseminar findet nach Vereinbarung statt.	Hans-Jörg Kreowski Dr. Sabine Kuske

Kolloquien

Course number	Title of event	Lecturer
03-I-KOLL	Informatik-Kolloquium Alle HL des Studiengangs Informatik Colloquium (Teaching) Dates: weekly (starts in week: 26) Tue. 16:00 - 18:00 External location: CART Rotunde - 0.67 Die Veranstaltung findet im Cartesium in Raum 0,67 statt.	N. N.

Veranstaltungen für andere Studiengänge

Course number	Title of event	Lecturer
03-IBFS-TSTUD	Participation in Studies Seminar (Teaching) ECTS: 1 https://lvb.informatik.uni-bremen.de/igs/03-ibfs-tstud.pdf Zu Beginn jedes Semesters findet eine Infoveranstaltung statt, wo die Scheinkriterien für Versuchspersonen erläutert werden. Außerdem werden (aufbauend auf den Inhalten von WA1) Forschungsmethoden von Studien mit Versuchspersonen vermittelt. Im weiteren Verlauf des Studiums sollen Studierende 15 Versuchspersonenstunden absolvieren (d.h. an mehreren Studien teilnehmen). Jede Studienteilnahme wird mit Versuchspersonenstunden vergütet, die in ECTS anerkannt werden können. Die Versuchspersonenstunden können über mehre Semester gesammelt werden. Die Teilnahme an den Studien soll in einer schriftlichen Ausarbeitung dokumentiert und reflektiert werden. At the beginning of each semester, an information session is held where the certificate criteria for subjects are explained. In addition, research methods of studies with test subjects are taught (building on the contents of WA1). Later in the program, students are expected to complete 15 subject hours (i.e., participate in different studies). Each study participation is compensated with subject hours, which can be recognized in ECTS. The subject hours may be accumulated over multiple semesters. Participation in the studies should be documented and reflected upon in a written paper at the end. The selection of participants is made manually after registration. Users who wish to register for this event will receive more detailed information and can then still decide against participation.	Prof. Dr. Rainer Malaka
META-2024-ALL-IF	27th International Informatica Feminale (in English) Informatica Feminale - Summer University for Women in Computing Sommeruniversität für Frauen in der Informatik /Summer University for Women in Computing Blockveranstaltung (Teaching) ECTS: 1-3 (je Kurs/for every course) 60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester 2024 sowie im Wintersemester 2024/25 anerkannt. Alle Einzelangaben, Zeiten und Anmeldungen jederzeit nur über die Website https://www.informatica-feminale.de. 60 courses in German and English for women Bachelor and Master students from all fields of study. Courses are part of General Studies, some are accepted in Informatics; in the summer semester 2024 as well as in winter semester 2024/25. Further information, schedules and registration only on the website https://www.informatica-feminale.de.	Veronika Oechtering Henrike Illig
META-2024/IF-AG-01	Agile Teamwork (in English) Agile teamwork as the basis of agile project management Blockveranstaltung (Teaching) ECTS: 1-3 Additional dates: Fri. 24.05.24 16:00 - 18:30 BigBlueButton Sat. 25.05.24 10:00 - 13:00 BigBlueButton Sat. 25.05.24 14:00 - 16:30 BigBlueButton Fri. 31.05.24 16:00 - 18:30 BigBlueButton Sat. 01.06.24 10:00 - 13:00 BigBlueButton Sat. 01.06.24 14:00 - 16:30 BigBlueButton Agile teamwork is used in many product developments today, initially in software development, but can also be used for any other incrementally buildable product. It is the particular kind of non-hierarchical cooperation that participants can try out in a small project. We will use it to create a complex product with a storymap. To get to know agile teamwork Scrum is the most detailed approach. By applying Scrum roles, you can gain a first insight into agile teamwork. Course content: Definition of agile teamwork Ambidexterity Scrum roles: Product Owner, Scrum master, Developer Interaction in non-hierarchical teamwork Meetings: Friday, 24.05.2024: 4.00 p.m. to 6.30 p.m. (lecture) Saturday, 25.04.2024: 10.00 am to 1.00 pm and 2.00 pm to 4.30 pm (lecture and teamwork) Friday, 31.05.2024: 4.00 p.m. to 6.30 p.m. (lecture) Saturday, 01.06.2024: 10.00 a.m. to 1.00 p.m. and 2.00 p.m. to 4.30 p.m. (lecture and teamwork) Register via Stud.IP.	Silke Garms Selma Gebhardt
META-2024/IF-AG-02	Agile Teamwork (in English) Agile teamwork as the basis of agile project management Blockveranstaltung (Teaching) ECTS: 1-3 Additional dates: Mon. 02.09.24 10:00 - 12:30 BigBlueButton Mon. 02.09.24 13:30 - 16:00 BigBlueButton Tue. 03.09.24 10:00 - 12:30 BigBlueButton Tue. 03.09.24 13:30 - 16:00 BigBlueButton Wed. 04.09.24 10:00 - 12:30 BigBlueButton Wed. 04.09.24 13:30 - 16:00 BigBlueButton Agile teamwork is used in many product developments today, initially in software development, but can also be used for any other incrementally buildable product. It is the particular kind of non-hierarchical cooperation that participants can try out in a small project. We will use it to create a complex product with a storymap. To get to know agile teamwork Scrum is the most detailed approach. By applying Scrum roles, you can gain a first insight into agile teamwork. Course content: Definition of agile teamwork Ambidexterity Scrum roles: Product Owner, Scrum master, Developer Interaction in non-hierarchical teamwork Meetings: Monday, 02.09.2024: 10.00 a.m. to 12.30 p.m. (lecture) and 13.30 p.m. to 16.00 p.m (teamwork) Tuesday, 03.09.2024: 10.00 a.m. to 12.30 p.m. (lecture) and 13.30 p.m. to 16.00 p.m (teamwork) Wednesday, 04.09.2024: 10.00 a.m. to 12.30 p.m. (lecture) and 13.30 p.m. to 16.00 p.m (teamwork) Register via Stud.IP.	Silke Garms Selma Gebhardt
META-2024/IF-G-03	Grundkurs Datenschutz Basiswissen und Anwendung des Datenschutzes in einer betrieblichen Organisation Blockveranstaltung (Teaching) ECTS: 1-3 Additional dates: Fri. 24.05.24 16:30 - 18:00 BigBlueButton Sat. 25.05.24 10:00 - 13:00 BigBlueButton Sat. 25.05.24 14:00 - 16:30 BigBlueButton Fri. 31.05.24 16:30 - 18:00 BigBlueButton Sat. 01.06.24 10:00 - 13:00 BigBlueButton Sat. 01.06.24 14:00 - 16:30 BigBlueButton In diesem Online-Kurs können Teilnehmende die Inhalte der DSGVO, die Verantwortlichkeit der Beteiligten bei der Datenverarbeitung und den systematischen Aufbau eines betrieblichen Datenschutzkonzeptes kennenlernen. Anhand von ausgewählten Beispielen wird ein Datenschutzkonzept einer betrieblichen Organisation entwickelt. Dieses General Studies-Lehrangebot richtet sich an Studentinnen aller Fächer als Einführung in das Thema. Kursinhalte: Grundlagen des Datenschutzes • Aufbau und Inhalte von DSGVO und BDSG • Rechtmäßigkeit der Verarbeitung • Datenschutz und Informationssicherheit • Gewährleistungsziele des Datenschutzes Praktische Umsetzung des Datenschutzes • Privacy by Design und Privacy by Default • Rechte Betroffener • Anonymisierung und Pseudonymisierung • Technische und organisatorische Maßnahmen nach DS-GVO Datenschutzmanagement • Das Standard-Datenschutzmodell (DSK) • IT-Sicherheitsstandards (ISO 27001, BSI) Konformität und Sanktion • Aufgabenbereich und Zuständigkeiten von Datenschutzbeauftragten • Sanktionen nach DSGVO und BDSG Termine: Freitag, 24.05.2024: 16.00 Uhr bis 18.30 Uhr (Vortrag) Samstag, 25.05.2024: 10.00 Uhr bis 13.00 Uhr und 14.00 Uhr bis 16.30 Uhr (Vortrag und Teamwork) Freitag, 31.05.2024: 16.00 Uhr bis 18.30 Uhr (Vortrag) Samstag, 01.06.2024: 10.00 Uhr bis 13.00 Uhr und 14.00 Uhr bis 16.30 Uhr (Vortrag und Teamwork) sowie Abschlussprojekt Anmeldung über Stud.IP.	Selma Gebhardt
META-2024/IF-G-04	Grundkurs Datenschutz Basiswissen und Anwendung des Datenschutzes in einer betrieblichen Organisation Blockveranstaltung (Teaching) ECTS: 1-3 Additional dates: Fri. 28.06.24 16:30 - 18:00 BigBlueButton Sat. 29.06.24 10:00 - 13:00 BigBlueButton Sat. 29.06.24 14:00 - 16:30 BigBlueButton Fri. 05.07.24 16:30 - 18:00 BigBlueButton Sat. 06.07.24 10:00 - 13:00 BigBlueButton Sat. 06.07.24 14:00 - 16:30 BigBlueButton In diesem Online-Kurs können Teilnehmende die Inhalte der DSGVO, die Verantwortlichkeit der Beteiligten bei der Datenverarbeitung und den systematischen Aufbau eines betrieblichen Datenschutzkonzeptes kennenlernen. Anhand von ausgewählten Beispielen wird ein Datenschutzkonzept einer betrieblichen Organisation entwickelt. Dieses General Studies-Lehrangebot richtet sich an Studentinnen aller Fächer als Einführung in das Thema. Kursinhalte: Grundlagen des Datenschutzes • Aufbau und Inhalte von DSGVO und BDSG • Rechtmäßigkeit der Verarbeitung • Datenschutz und Informationssicherheit • Gewährleistungsziele des Datenschutzes Praktische Umsetzung des Datenschutzes • Privacy by Design und Privacy by Default • Rechte Betroffener • Anonymisierung und Pseudonymisierung • Technische und organisatorische Maßnahmen nach DS-GVO Datenschutzmanagement • Das Standard-Datenschutzmodell (DSK) • IT-Sicherheitsstandards (ISO 27001, BSI) Konformität und Sanktion • Aufgabenbereich und Zuständigkeiten von Datenschutzbeauftragten • Sanktionen nach DSGVO und BDSG Termine: Freitag, 28.06.2024: 16.00 Uhr bis 18.30 Uhr (Vortrag) Samstag, 29.06.2024: 10.00 Uhr bis 13.00 Uhr und 14.00 Uhr bis 16.30 Uhr (Vortrag und Teamwork) Freitag, 05.07.2024: 16.00 Uhr bis 18.30 Uhr (Vortrag) Samstag, 06.07.2024: 10.00 Uhr bis 13.00 Uhr und 14.00 Uhr bis 16.30 Uhr (Vortrag und Teamwork) Anmeldung über Stud.IP.	Selma Gebhardt

Sonstige Veranstaltungen ohne Kreditpunkte

Course number	Title of event	Lecturer
03-ISONST-EJC	EDM Journal Club (in English) Seminar (Teaching) Additional dates: Mon. 10.02.20 14:00 - 16:00 MZH 5300 Veranstaltung für Doktoranten, jeden 1. Montag im Monat von 14-16h in Raum 5300.	Robert Porzel Sebastian Höffner Dr. Nina Wenig Prof. Dr. Rainer Malaka
03-ISONST-SPAG	Spiele-AG Seminar (Teaching) Dates: weekly (starts in week: 1) Mon. 18:00 - 20:00 (1 Teaching hours per week) Sitzung Informationen unter https://redmine.informatik.uni-bremen.de/projects/gamedev-ag/wiki	Prof. Dr. Rainer Malaka

Informatica Feminale

Deutschlandweites Sommerstudium fuer Frauen in der Informatik.

Die Informatica Feminale bietet jaehrlich kompakte Lehre zur Informatik fuer Studentinnen aller Hochschularten und fuer an Weiterbildung interessierte Frauen. Studieneinstieg, Verbleib im Studium, Berufsuebergang und lebenslanges Lernen auf universitaerem Niveau stehen dabei gleichermassen im Blickfeld. Dozentinnen und Teilehmerinnen kommen aus dem In- und Ausland. Das Sommerstudium in der Universitaet Bremen ist ein Ort des Experimentierens, um neue Konzepte fuer das Informatikstudium zu finden.

Alle Informationen unter: http://www.informatica-feminale.de/

Course number	Title of event	Lecturer
META-2024-ALL-IF	27th International Informatica Feminale (in English) Informatica Feminale - Summer University for Women in Computing Sommeruniversität für Frauen in der Informatik /Summer University for Women in Computing Blockveranstaltung (Teaching) ECTS: 1-3 (je Kurs/for every course) 60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester 2024 sowie im Wintersemester 2024/25 anerkannt. Alle Einzelangaben, Zeiten und Anmeldungen jederzeit nur über die Website https://www.informatica-feminale.de. 60 courses in German and English for women Bachelor and Master students from all fields of study. Courses are part of General Studies, some are accepted in Informatics; in the summer semester 2024 as well as in winter semester 2024/25. Further information, schedules and registration only on the website https://www.informatica-feminale.de.	Veronika Oechtering Henrike Illig

Mathematics, M.Sc.

Area of Specialization: Algebra

Modules: Specialization (A, B, and C with 9 CP each)

The modules Specialization A and Specialization B are compulsory modules (2 x 9 CP = 18 CP). The module Specialization C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-15	Analytic and Discrete Convex Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 4140 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.	Eugenia Saorin Gomez

Modules: Diversification (A, B, and C with 9 CP each)

The modules Diversification A and Diversification B are compulsory modules (2 x 9 CP = 18 CP). The module Diversification C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-14	Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture Additional dates: Wed. 10.07.24 14:00 - 16:00 ZOOM Wed. 17.07.24 14:00 - 16:00 ZOOM Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30 This course provides an introduction to the practice of scientific programming.	Alfred Schmidt Prof. Dr. Stephan Frickenhaus
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-20	Digital Optimal Control and Optimal Feedback Control (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise Die Veranstaltung findet im NEOS Gebäude statt.	Prof. Dr. Christof Büskens
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-32	Spectral Theory (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise	PD Dr. Hendrik Vogt
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Module: Advanced Communications A (2 x 4,5 CP = 9 CP)

Compulsory module in the area of specialization in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-10	Homological Algebra Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-24	Cohomology Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov

Module: Advanced Communications B (2 x 4,5 CP = 9 CP)

Compulsory module in the area of diversification and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Module: Reading Course A (9 CP)

Compulsory module in the area of specialization and with the following course:

Course number	Title of event	Lecturer
03-M-RC-ALG	Reading Course Algebra (in English) Seminar (Teaching) ECTS: 9	Prof. Dr. Dmitry Feichtner-Kozlov

Module: Reading Course B (9 CP)

Compulsory module either in the area of specialization or area of diversification and with the following courses:

Course number	Title of event	Lecturer
03-M-RC-ALG	Reading Course Algebra (in English) Seminar (Teaching) ECTS: 9	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANA	Reading Course Analysis (in English) Seminar (Teaching) ECTS: 9 Additional dates: Thu. 13.06.24 08:00 - 10:00 MZH 4140 In the Reading Course Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants.	Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUM	Reading Course Numerical Analysis (in English) Seminar (Teaching) ECTS: 9 Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen Analytical and structured thinking, exact formulation of mathematical facts, comprehension of mathematical proofs and learning of proof techniques, independent and creative solving of mathematical problems, knowledge of real analysis, algorithmic approach to solving mathematical problems.	Prof. Dr. Christof Büskens
03-M-RC-STS	Reading Course Statistics/Stochastics (in English) Seminar (Teaching) ECTS: 9 The reading course introduces students to specific topics that may be relevant for the Master's thesis, using mainly original English-language literature (scientific articles and reference books). Students are expected to prepare a seminar talk and an elaboration on the topic.	Prof. Dr. Werner Brannath Prof. Dr. Thorsten-Ingo Dickhaus

Area of Specialization: Analysis

Modules: Specialization (A, B, and C with 9 CP each)

Course number	Title of event	Lecturer
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-32	Spectral Theory (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise	PD Dr. Hendrik Vogt
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl

Modules: Diversification (A, B, and C with 9 CP each)

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-14	Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture Additional dates: Wed. 10.07.24 14:00 - 16:00 ZOOM Wed. 17.07.24 14:00 - 16:00 ZOOM Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30 This course provides an introduction to the practice of scientific programming.	Alfred Schmidt Prof. Dr. Stephan Frickenhaus
03-M-SP-15	Analytic and Discrete Convex Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 4140 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.	Eugenia Saorin Gomez
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-20	Digital Optimal Control and Optimal Feedback Control (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise Die Veranstaltung findet im NEOS Gebäude statt.	Prof. Dr. Christof Büskens
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Module: Advanced Communications A (2 x 4,5 CP = 9 CP)

Compulsory module in the area of specialization and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl

Module: Advanced Communications B (2 x 4,5 CP = 9 CP)

Compulsory module in the area of diversification and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-10	Homological Algebra Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-24	Cohomology Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Module: Reading Course A (9 CP)

Compulsory module in the area of specialization and with the following course:

Course number	Title of event	Lecturer
03-M-RC-ANA	Reading Course Analysis (in English) Seminar (Teaching) ECTS: 9 Additional dates: Thu. 13.06.24 08:00 - 10:00 MZH 4140 In the Reading Course Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants.	Prof. Dr. Anke Dorothea Pohl

Module: Reading Course B (9 CP)

Compulsory module either in the area of specialization or area of diversification and with the following courses:

Course number	Title of event	Lecturer
03-M-RC-ALG	Reading Course Algebra (in English) Seminar (Teaching) ECTS: 9	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANA	Reading Course Analysis (in English) Seminar (Teaching) ECTS: 9 Additional dates: Thu. 13.06.24 08:00 - 10:00 MZH 4140 In the Reading Course Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants.	Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUM	Reading Course Numerical Analysis (in English) Seminar (Teaching) ECTS: 9 Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen Analytical and structured thinking, exact formulation of mathematical facts, comprehension of mathematical proofs and learning of proof techniques, independent and creative solving of mathematical problems, knowledge of real analysis, algorithmic approach to solving mathematical problems.	Prof. Dr. Christof Büskens
03-M-RC-STS	Reading Course Statistics/Stochastics (in English) Seminar (Teaching) ECTS: 9 The reading course introduces students to specific topics that may be relevant for the Master's thesis, using mainly original English-language literature (scientific articles and reference books). Students are expected to prepare a seminar talk and an elaboration on the topic.	Prof. Dr. Werner Brannath Prof. Dr. Thorsten-Ingo Dickhaus

Area of Specialization: Numerical Analysis

Modules: Specialization (A, B, and C with 9 CP each)

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-14	Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture Additional dates: Wed. 10.07.24 14:00 - 16:00 ZOOM Wed. 17.07.24 14:00 - 16:00 ZOOM Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30 This course provides an introduction to the practice of scientific programming.	Alfred Schmidt Prof. Dr. Stephan Frickenhaus
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-20	Digital Optimal Control and Optimal Feedback Control (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise Die Veranstaltung findet im NEOS Gebäude statt.	Prof. Dr. Christof Büskens
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Modules: Diversification (A, B, and C with 9 CP each)

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-15	Analytic and Discrete Convex Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 4140 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.	Eugenia Saorin Gomez
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-32	Spectral Theory (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise	PD Dr. Hendrik Vogt
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl

Module: Advanced Communications A (2 x 4,5 CP = 9 CP)

Compulsory module in the area of specialization and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Module: Advanced Communications B (2 x 4,5 CP = 9 CP)

Compulsory module in the area of diversification and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-10	Homological Algebra Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl
03-M-AC-24	Cohomology Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov

Module: Reading Course A (9 CP)

Compulsory module in the area of specialization and with the following course:

Course number	Title of event	Lecturer
03-M-RC-NUM	Reading Course Numerical Analysis (in English) Seminar (Teaching) ECTS: 9 Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen Analytical and structured thinking, exact formulation of mathematical facts, comprehension of mathematical proofs and learning of proof techniques, independent and creative solving of mathematical problems, knowledge of real analysis, algorithmic approach to solving mathematical problems.	Prof. Dr. Christof Büskens

Module: Reading Course B (9 CP)

Compulsory module either in the area of specialization or area of diversification and with the following courses:

Course number	Title of event	Lecturer
03-M-RC-ALG	Reading Course Algebra (in English) Seminar (Teaching) ECTS: 9	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANA	Reading Course Analysis (in English) Seminar (Teaching) ECTS: 9 Additional dates: Thu. 13.06.24 08:00 - 10:00 MZH 4140 In the Reading Course Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants.	Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUM	Reading Course Numerical Analysis (in English) Seminar (Teaching) ECTS: 9 Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen Analytical and structured thinking, exact formulation of mathematical facts, comprehension of mathematical proofs and learning of proof techniques, independent and creative solving of mathematical problems, knowledge of real analysis, algorithmic approach to solving mathematical problems.	Prof. Dr. Christof Büskens
03-M-RC-STS	Reading Course Statistics/Stochastics (in English) Seminar (Teaching) ECTS: 9 The reading course introduces students to specific topics that may be relevant for the Master's thesis, using mainly original English-language literature (scientific articles and reference books). Students are expected to prepare a seminar talk and an elaboration on the topic.	Prof. Dr. Werner Brannath Prof. Dr. Thorsten-Ingo Dickhaus

Area of Specialization: Statistics/Stochastics

Modules: Specialization (A, B, and C with 9 CP each)

Course number	Title of event	Lecturer
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath

Modules: Diversification (A, B, and C with 9 CP each)

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-14	Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture Additional dates: Wed. 10.07.24 14:00 - 16:00 ZOOM Wed. 17.07.24 14:00 - 16:00 ZOOM Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30 This course provides an introduction to the practice of scientific programming.	Alfred Schmidt Prof. Dr. Stephan Frickenhaus
03-M-SP-15	Analytic and Discrete Convex Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 4140 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.	Eugenia Saorin Gomez
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-20	Digital Optimal Control and Optimal Feedback Control (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise Die Veranstaltung findet im NEOS Gebäude statt.	Prof. Dr. Christof Büskens
03-M-SP-32	Spectral Theory (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise	PD Dr. Hendrik Vogt
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Module: Advanced Communications B (2 x 4,5 CP = 9 CP)

Compulsory module in the area of diversification and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:

Course number	Title of event	Lecturer
03-M-AC-10	Homological Algebra Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-24	Cohomology Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Module: Reading Course A (9 CP)

Compulsory module in the area of specialization and with the following course:

Course number	Title of event	Lecturer
03-M-RC-STS	Reading Course Statistics/Stochastics (in English) Seminar (Teaching) ECTS: 9 The reading course introduces students to specific topics that may be relevant for the Master's thesis, using mainly original English-language literature (scientific articles and reference books). Students are expected to prepare a seminar talk and an elaboration on the topic.	Prof. Dr. Werner Brannath Prof. Dr. Thorsten-Ingo Dickhaus

Module: Reading Course B (9 CP)

Compulsory module either in the area of specialization or area of diversification and with the following courses:

Course number	Title of event	Lecturer
03-M-RC-ALG	Reading Course Algebra (in English) Seminar (Teaching) ECTS: 9	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANA	Reading Course Analysis (in English) Seminar (Teaching) ECTS: 9 Additional dates: Thu. 13.06.24 08:00 - 10:00 MZH 4140 In the Reading Course Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants.	Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUM	Reading Course Numerical Analysis (in English) Seminar (Teaching) ECTS: 9 Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen Analytical and structured thinking, exact formulation of mathematical facts, comprehension of mathematical proofs and learning of proof techniques, independent and creative solving of mathematical problems, knowledge of real analysis, algorithmic approach to solving mathematical problems.	Prof. Dr. Christof Büskens
03-M-RC-STS	Reading Course Statistics/Stochastics (in English) Seminar (Teaching) ECTS: 9 The reading course introduces students to specific topics that may be relevant for the Master's thesis, using mainly original English-language literature (scientific articles and reference books). Students are expected to prepare a seminar talk and an elaboration on the topic.	Prof. Dr. Werner Brannath Prof. Dr. Thorsten-Ingo Dickhaus

Mathematik, B.Sc.

Vor dem ersten Semester

Course number	Title of event	Lecturer
03-M-BM	Preparation Course Mathematics at the University Bremen Blockveranstaltung (Teaching) Der Kurs findet in der zweiten und dritten Märzwoche statt. Details werden noch bekanntgegeben.	Dr. Ingolf Schäfer

Bachelor 2. Semester

Modul: Analysis 1-2 (21 CP)

Pflichtmodul im 1. und 2. Semester (zwei-semestrig), wobei im 2. Semester folgende Veranstaltungen belegt werden sollten:

Course number	Title of event	Lecturer
03-M-ANA-2.1	Analysis 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 SFG 0150 Vorlesung weekly (starts in week: 1) Fri. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 4140 Übung	PD Dr. Hendrik Vogt
03-M-ANA-2.2	Additional Topics in Analysis 2 Projektplenum (Teaching) ECTS: 1,5 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 SFG 0150 Plenum	PD Dr. Hendrik Vogt

Modul: Lineare Algebra 1-2 (21 CP)

Pflichtmodul im 1. und 2. Semester (zwei-semestrig), wobei im 2. Semester folgende Veranstaltungen belegt werden sollten:

Course number	Title of event	Lecturer
03-M-LAG-2.1	Linear Algebra 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1470 Vorlesung weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1470 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1470 Vorlesung	Eugenia Saorin Gomez
03-M-LAG-2.2	Additional Topics in Linear Algebra 2 Projektplenum (Teaching) ECTS: 1,5 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5500 Plenum Additional dates: Thu. 06.06.24 08:00 - 10:00 MZH 4140 Thu. 27.06.24 08:00 - 10:00	Eugenia Saorin Gomez

Bachelor 4. Semester und höher

Module: Fortgeschrittene Themen (A, B und C mit je 9 CP)

Pflichtmodule, welche im 4. und 5. Semester belegt werden sollten. Für jedes der DREI Module (Fortgeschrittene Themen A / B / C) muss jeweils EINE der zugehörigen Veranstaltungen belegt werden, wobei dieses Semester aus folgenden Veranstaltungen gewählt werden kann:

Course number	Title of event	Lecturer
03-M-FANA-1	Functional Analysis Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1100 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1100 Vorlesung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1100 Übung Additional dates: Wed. 10.07.24 10:00 - 12:00 MZH 1470 Die Funktionalanalysis untersucht unendlichdimensionale Räume und die darauf definierten Operatoren.	Alfred Schmidt
03-M-FTH-6	Topology Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 GW2 B1400 NUR Mi. - So. weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 7200 Vorlesung	Prof. Dr. Eva-Maria Feichtner
03-M-NUM-2	Numerical Calculus 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1100 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1100 Übung Fortsetzung von Numerik~1: Entwicklung und Analyse von Algorithmen zur approximativen Lösung mathematischer Probleme, die insbesondere in industriellen Anwendungen auftreten.	Ronald Stöver

Module: Mathematisches Kommunizieren (A und B mit je 3 CP)

Pflichtmodule, welche im 4. und 5. Semester belegt werden sollten. Für jedes der ZWEI Module (Mathematisches Kommunizieren A / B) muss jeweils EINE der zugehörigen Veranstaltungen belegt werden, wobei dieses Semester aus folgenden Veranstaltungen gewählt werden kann:

Course number	Title of event	Lecturer
03-M-FEB-1	REU-Projects Introductory seminar course (Teaching) ECTS: 3 / 5	Prof. Dr. Marc Keßeböhmer Prof. Dr. Anke Dorothea Pohl
03-M-MKOM-5	Algebra Introductory seminar course (Teaching) ECTS: 3 / 5 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 7200 Proseminar	Prof. Dr. Eva-Maria Feichtner
03-M-MKOM-6	Cellular automata and self-organization Introductory seminar course (Teaching) ECTS: 3 / 5 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 4140 Proseminar weekly (starts in week: 1) Fri. 14:00 - 18:00 MZH 5500 Proseminar In diesem Proseminar werden zelluläre Automaten als Werkzeug zur Untersuchung dynamischer Systeme betrachtet. Besonderes Augenmerk wird dabei auf das Phänomen der sogenannten selbstorganisierten Kritikalität als interessante neue Eigenschaft dynamischer Systeme gelegt. Hinweis: Die Veranstaltungszeit beträgt nur zwei und nicht wie angegeben vier Stunden wöchentlich. Ebenso ist der Termin nicht fix und kann bei auftretenden Terminkonflikten der Teilnehmenden leicht umgelegt werden. Dies wird neben der Vorstellung der Inhalte beim ersten Treffen am 05.04. mit allen Teilnehmenden diskutiert.	Prof. Dr. Anke Dorothea Pohl Lothar Dirks
03-M-MKOM-7	Homologische Algebra Introductory seminar course (Teaching) ECTS: 3/5 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Proseminar Die Veranstaltung findet zusammen mit der LV 03-M-AC-10 statt.	Prof. Dr. Dmitry Feichtner-Kozlov

Modul: Stochastik (9 CP)

Pflichtmodul im 4. Semester mit folgender Veranstaltung:

Course number	Title of event	Lecturer
03-M-STO-1	Stochastics Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 GW2 B1410 Vorlesung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1470 MZH 4140 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 4140 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 4140 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1470 Übung Additional dates: Fri. 25.10.24 08:00 - 10:00 MZH 1380/1400	Prof. Dr. Marc Keßeböhmer

General Studies - Fachergänzende Studien

Fachergänzendes Studienangebot aus der Mathematik bzw. Industriemathematik

Course number	Title of event	Lecturer
03-IBFW-HTO (03-BE-699.12)	Hands-on Tutorial on Optimization (in English) Blockveranstaltung (Teaching) ECTS: 3 Additional dates: Mon. 23.09.24 - Fri. 27.09.24 (Mon., Tue., Wed., Thu., Fri.) 09:00 - 17:00 MZH 5500 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-hto.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be formulated as discrete linear optimization problems. This course briefly introduces the theory of such problems. We develop a toolkit to model real-world problems as (discrete) linear programs. We also explore several ways to find integer solutions such as cutting planes, branch & bound, and column generation. Throughout the course, we learn these skills by modeling and solving, for example, scheduling, packing, matching, routing, and network-design problems. We focus on translating practical examples into mixed-integer linear programs. We learn how to use solvers (such as CPLEX and Gurobi) and tailor the solution process to certain properties of the problem. This course consists of two phases: One week Mon-Fri (full day, 9-5) of lectures and practical labs: September 23-27, in MZH. A subsequent project period: One problem has to be modeled, implemented, and solved individually or in a group of at most three students. The topic will be provided by the lecturers and will be discussed on the last day of the block course. The project including the implementation has to be presented in the beginning of the winter semester. There are no prerequisites except some basic programming skills to participate.	Prof. Dr. Nicole Megow
03-M-GS-1	Mathematics in Professional Practice Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1470 Seminar Die Mathematik lebt davon, dass abstrahiert wird. Im Studium der Mathematik und der Industriemathematik erlernt man dieses abstrakte Denken und übersieht vielleicht, wie gut dieses Studium für den Arbeitsmarkt qualifiziert. Daher soll dieses Seminar Impulse setzen und Hilfen geben, um sich mit der eigenen beruflichen Karriere auseinanderzusetzen.	Matthias Knauer
03-M-GS-7	Introduction to R (in English) Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 13:00 GW1 A0150 Seminar 3 SWS Seminar Raum wird nach Anmeldung in Stud.IP bekannt gegeben. Homepage des KKSB und Uni-Lageplan	Prof. Dr. Werner Brannath Eike Voß
03-M-GS-15	Introduction to discrete structures Seminar (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Übung weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 7200 Vorlesung/Plenum Zu den Themen, die in diesem Kurs behandelt werden, gehören: Mengenlehre, d.h. Schreibweisen, Mengenoperationen, Produkt- und Potenzmengen Beweise und Logik Kombinatorik (Variationen, Permutationen, Kombinationen, Binomialkoeffizienten, u.a.) Graphentheorie (Planare Graphen, Wege in Graphen, Färbungen, Bäume)	Anastasios Stefanou
SZHB 0622	ONLINE: English for Mathematicians and Industrial Mathematicians (Zertifikatskurs UNIcert II) (B2.3) (in English) Eingangsniveau: B2.2 Kurs (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 16:15 - 17:55 External location: Onlinekurs (2 Teaching hours per week) Kursinformationen und Onlineanmeldung unter: https://kurse.sprachenzentrum-bremen.de/course/summer-2024/282d1a14-8b09-42f2-8e14-fd3e8107a1df	Edwin Shillington

Mathematik, B.Sc./M.Sc. (Studienbeginn vor 2022)

Veranstaltungen vor dem 1. Semester

Course number	Title of event	Lecturer
03-M-BM	Preparation Course Mathematics at the University Bremen Blockveranstaltung (Teaching) Der Kurs findet in der zweiten und dritten Märzwoche statt. Details werden noch bekanntgegeben.	Dr. Ingolf Schäfer

Bachelor: Pflichtveranstaltungen

Pflichtveranstaltungen für den Studiengang Mathematik B.Sc.

Course number	Title of event	Lecturer
03-M-ANA-2.1	Analysis 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 SFG 0150 Vorlesung weekly (starts in week: 1) Fri. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 4140 Übung	PD Dr. Hendrik Vogt
03-M-ANA-2.2	Additional Topics in Analysis 2 Projektplenum (Teaching) ECTS: 1,5 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 SFG 0150 Plenum	PD Dr. Hendrik Vogt
03-M-LAG-2.1	Linear Algebra 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1470 Vorlesung weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1470 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1470 Vorlesung	Eugenia Saorin Gomez
03-M-LAG-2.2	Additional Topics in Linear Algebra 2 Projektplenum (Teaching) ECTS: 1,5 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5500 Plenum Additional dates: Thu. 06.06.24 08:00 - 10:00 MZH 4140 Thu. 27.06.24 08:00 - 10:00	Eugenia Saorin Gomez
03-M-STO-1	Stochastics Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 GW2 B1410 Vorlesung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1470 MZH 4140 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 4140 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 4140 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1470 Übung Additional dates: Fri. 25.10.24 08:00 - 10:00 MZH 1380/1400	Prof. Dr. Marc Keßeböhmer

Bachelor: Wahlpflichtveranstaltungen

Wahlpflichtveranstaltungen für den Studiengang Mathematik B.Sc.

Course number	Title of event	Lecturer
03-M-FANA-1	Functional Analysis Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1100 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1100 Vorlesung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1100 Übung Additional dates: Wed. 10.07.24 10:00 - 12:00 MZH 1470 Die Funktionalanalysis untersucht unendlichdimensionale Räume und die darauf definierten Operatoren.	Alfred Schmidt
03-M-FTH-6	Topology Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 GW2 B1400 NUR Mi. - So. weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 7200 Vorlesung	Prof. Dr. Eva-Maria Feichtner
03-M-NUM-2	Numerical Calculus 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1100 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1100 Übung Fortsetzung von Numerik~1: Entwicklung und Analyse von Algorithmen zur approximativen Lösung mathematischer Probleme, die insbesondere in industriellen Anwendungen auftreten.	Ronald Stöver
03-M-VOR-1	Presentation of Upper-Level Math Courses Blockeinheit (Teaching) Additional dates: Tue. 02.04.24 12:00 - 14:00 MZH 1470 Aktuelle Informationsbroschüren finden Sie unter www.szmathe.uni-bremen.de	Prof. Dr. Thorsten-Ingo Dickhaus Dr. Ingolf Schäfer

Bachelor: Proseminare

Course number	Title of event	Lecturer
03-M-FEB-1	REU-Projects Introductory seminar course (Teaching) ECTS: 3 / 5	Prof. Dr. Marc Keßeböhmer Prof. Dr. Anke Dorothea Pohl
03-M-MKOM-5	Algebra Introductory seminar course (Teaching) ECTS: 3 / 5 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 7200 Proseminar	Prof. Dr. Eva-Maria Feichtner
03-M-MKOM-6	Cellular automata and self-organization Introductory seminar course (Teaching) ECTS: 3 / 5 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 4140 Proseminar weekly (starts in week: 1) Fri. 14:00 - 18:00 MZH 5500 Proseminar In diesem Proseminar werden zelluläre Automaten als Werkzeug zur Untersuchung dynamischer Systeme betrachtet. Besonderes Augenmerk wird dabei auf das Phänomen der sogenannten selbstorganisierten Kritikalität als interessante neue Eigenschaft dynamischer Systeme gelegt. Hinweis: Die Veranstaltungszeit beträgt nur zwei und nicht wie angegeben vier Stunden wöchentlich. Ebenso ist der Termin nicht fix und kann bei auftretenden Terminkonflikten der Teilnehmenden leicht umgelegt werden. Dies wird neben der Vorstellung der Inhalte beim ersten Treffen am 05.04. mit allen Teilnehmenden diskutiert.	Prof. Dr. Anke Dorothea Pohl Lothar Dirks
03-M-MKOM-7	Homologische Algebra Introductory seminar course (Teaching) ECTS: 3/5 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Proseminar Die Veranstaltung findet zusammen mit der LV 03-M-AC-10 statt.	Prof. Dr. Dmitry Feichtner-Kozlov

Master: Wahlpflichtveranstaltungen

Course number	Title of event	Lecturer
03-M-VOR-1	Presentation of Upper-Level Math Courses Blockeinheit (Teaching) Additional dates: Tue. 02.04.24 12:00 - 14:00 MZH 1470 Aktuelle Informationsbroschüren finden Sie unter www.szmathe.uni-bremen.de	Prof. Dr. Thorsten-Ingo Dickhaus Dr. Ingolf Schäfer

Vertiefungsrichtung Algebra

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-15	Analytic and Discrete Convex Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 4140 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.	Eugenia Saorin Gomez

Vertiefungsrichtung Analysis

Course number	Title of event	Lecturer
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-32	Spectral Theory (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise	PD Dr. Hendrik Vogt
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl

Vertiefungsrichtung Numerik

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-14	Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture Additional dates: Wed. 10.07.24 14:00 - 16:00 ZOOM Wed. 17.07.24 14:00 - 16:00 ZOOM Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30 This course provides an introduction to the practice of scientific programming.	Alfred Schmidt Prof. Dr. Stephan Frickenhaus
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-20	Digital Optimal Control and Optimal Feedback Control (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise Die Veranstaltung findet im NEOS Gebäude statt.	Prof. Dr. Christof Büskens
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji

Vertiefungsrichtung Stochastik & Statistik

Course number	Title of event	Lecturer
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath

Master: Seminare

Vertiefungsrichtung Algebra

Course number	Title of event	Lecturer
03-M-AC-10	Homological Algebra Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-24	Cohomology Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Seminar	Prof. Dr. Dmitry Feichtner-Kozlov

Vertiefungsrichtung Analysis

Course number	Title of event	Lecturer
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl

Vertiefungsrichtung Numerik

Course number	Title of event	Lecturer
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Master: Reading Courses

Course number	Title of event	Lecturer
03-M-RC-ALG	Reading Course Algebra (in English) Seminar (Teaching) ECTS: 9	Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANA	Reading Course Analysis (in English) Seminar (Teaching) ECTS: 9 Additional dates: Thu. 13.06.24 08:00 - 10:00 MZH 4140 In the Reading Course Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants.	Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUM	Reading Course Numerical Analysis (in English) Seminar (Teaching) ECTS: 9 Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen Analytical and structured thinking, exact formulation of mathematical facts, comprehension of mathematical proofs and learning of proof techniques, independent and creative solving of mathematical problems, knowledge of real analysis, algorithmic approach to solving mathematical problems.	Prof. Dr. Christof Büskens
03-M-RC-STS	Reading Course Statistics/Stochastics (in English) Seminar (Teaching) ECTS: 9 The reading course introduces students to specific topics that may be relevant for the Master's thesis, using mainly original English-language literature (scientific articles and reference books). Students are expected to prepare a seminar talk and an elaboration on the topic.	Prof. Dr. Werner Brannath Prof. Dr. Thorsten-Ingo Dickhaus

Oberseminare

Course number	Title of event	Lecturer
	Research Seminar - Mathematical Parameter Identification (RTG) (in English) Seminar (Teaching) Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2340 Homepage zur Veranstaltung: https://www.uni-bremen.de/rtg-pi3/qualification/rtg-seminar	Dr. rer. nat. Pascal Fernsel
03-M-OS-4	Seminar: Dynamical Systems and Geometry Seminar (Teaching) Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 Additional dates: Tue. 04.06.24 09:00 - 10:00 MZH 4140 Wed. 26.06.24 10:00 - 12:00 SFG 0140 Tue. 27.08.24 09:30 - 12:30 MZH 6200 Fri. 28.03.25 08:00 - 18:00 MZH 5600 Weitere Infos auf der Seminar-Homepage	Prof. Dr. Marc Keßeböhmer Prof. Dr. Anke Dorothea Pohl

Kolloquien

Course number	Title of event	Lecturer
03-M-KOL-1	Mathematisches Kolloquium Colloquium (Teaching) Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00	Prof. Dr. Christine Knipping Prof. Dr. Thorsten-Ingo Dickhaus

General Studies

Course number	Title of event	Lecturer
03-IBFW-HTO (03-BE-699.12)	Hands-on Tutorial on Optimization (in English) Blockveranstaltung (Teaching) ECTS: 3 Additional dates: Mon. 23.09.24 - Fri. 27.09.24 (Mon., Tue., Wed., Thu., Fri.) 09:00 - 17:00 MZH 5500 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-hto.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be formulated as discrete linear optimization problems. This course briefly introduces the theory of such problems. We develop a toolkit to model real-world problems as (discrete) linear programs. We also explore several ways to find integer solutions such as cutting planes, branch & bound, and column generation. Throughout the course, we learn these skills by modeling and solving, for example, scheduling, packing, matching, routing, and network-design problems. We focus on translating practical examples into mixed-integer linear programs. We learn how to use solvers (such as CPLEX and Gurobi) and tailor the solution process to certain properties of the problem. This course consists of two phases: One week Mon-Fri (full day, 9-5) of lectures and practical labs: September 23-27, in MZH. A subsequent project period: One problem has to be modeled, implemented, and solved individually or in a group of at most three students. The topic will be provided by the lecturers and will be discussed on the last day of the block course. The project including the implementation has to be presented in the beginning of the winter semester. There are no prerequisites except some basic programming skills to participate.	Prof. Dr. Nicole Megow
03-M-GS-1	Mathematics in Professional Practice Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1470 Seminar Die Mathematik lebt davon, dass abstrahiert wird. Im Studium der Mathematik und der Industriemathematik erlernt man dieses abstrakte Denken und übersieht vielleicht, wie gut dieses Studium für den Arbeitsmarkt qualifiziert. Daher soll dieses Seminar Impulse setzen und Hilfen geben, um sich mit der eigenen beruflichen Karriere auseinanderzusetzen.	Matthias Knauer
03-M-GS-7	Introduction to R (in English) Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 13:00 GW1 A0150 Seminar 3 SWS Seminar Raum wird nach Anmeldung in Stud.IP bekannt gegeben. Homepage des KKSB und Uni-Lageplan	Prof. Dr. Werner Brannath Eike Voß
03-M-GS-15	Introduction to discrete structures Seminar (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Übung weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 7200 Vorlesung/Plenum Zu den Themen, die in diesem Kurs behandelt werden, gehören: Mengenlehre, d.h. Schreibweisen, Mengenoperationen, Produkt- und Potenzmengen Beweise und Logik Kombinatorik (Variationen, Permutationen, Kombinationen, Binomialkoeffizienten, u.a.) Graphentheorie (Planare Graphen, Wege in Graphen, Färbungen, Bäume)	Anastasios Stefanou
SZHB 0622	ONLINE: English for Mathematicians and Industrial Mathematicians (Zertifikatskurs UNIcert II) (B2.3) (in English) Eingangsniveau: B2.2 Kurs (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 16:15 - 17:55 External location: Onlinekurs (2 Teaching hours per week) Kursinformationen und Onlineanmeldung unter: https://kurse.sprachenzentrum-bremen.de/course/summer-2024/282d1a14-8b09-42f2-8e14-fd3e8107a1df	Edwin Shillington

Mathematik 2-Fächer Bachelor/M.Ed. (Gymnasien/Oberschule)

Bachelor: 1. Semester

Course number	Title of event	Lecturer
03-M-LAG-2.1	Linear Algebra 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1470 Vorlesung weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1470 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1470 Vorlesung	Eugenia Saorin Gomez

Bachelor 2. Semester

Course number	Title of event	Lecturer
03-M-Gy1-2	Linear Algebra 2 (Teacher Education) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 5500 Vorlesung weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 4140 Übung weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 1100 MZH 6200 Übung Additional dates: Wed. 18.09.24 10:00 - 12:00 MZH 1470 Thu. 21.11.24 16:00 - 18:00 MZH 5500 Homepage zur Veranstaltung: https://user.math.uni-bremen.de/arsen/ Es handelt sich um die lehramtsspezifische Fortsetzung des Kurses Lineare Algebra 1. Im einzelnen werden folgende Themen angesprochen: Basiswechsel von Lineare Abbildungen, Skalarprodukte: Orthonormalbasen, Gram-Schmidt-Verfahren, Determinanten, Eigenwerte, Diagonalisierbarkeit, Jordansche Normalform (ohne Beweis), Spektralsätze, Symmetrische Bilinearformen über den reellen Zahlen	Dr. Ingolf Schäfer
03-M-Gy2-1	Geometry Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Thu. 16:00 - 18:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 1100 MZH 5600 Übung weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1450 MZH 5600 Übung Additional dates: Fri. 16.08.24 10:00 - 12:30 HS 1010 (Kleiner Hörsaal) Tue. 08.10.24 10:00 - 12:30 MZH 5600 Homepage zur Veranstaltung: https://user.math.uni-bremen.de/arsen/	Dr. rer. nat. Arsen Narimanyan

Bachelor 4. Semester

Course number	Title of event	Lecturer
03-M-D1-2	Main features of mathematics education (Didactics of functions) Didaktik der Funktionen Seminar (Teaching) ECTS: 2 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 5500 Seminar Additional dates: Thu. 17.10.24 14:00 - 16:00 5220 Die Veranstaltung ist die Fortsetzung der Grundzüge Teil 1. Nachdem wir im Wintersemester einen generellen Überblick über die Fachdidaktik der Mathematik bekommen haben, wollen wir nun im Teil 2 anhand eines der zentralen Konzepte der Mathematik spezifischer unsere Kenntnisse vertiefen.	Dr. Fiene Bredow Luisa Gunia
03-M-Gy3-2	Analysis 2 (Teacher Education) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 5500 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1100 MZH 5220 (Didaktik-Labor) Übung weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 5500 Vorlesung Additional dates: Thu. 22.08.24 10:00 - 12:00 MZH 6200 Thu. 05.12.24 16:00 - 18:00 MZH 5500 Der Kurs behandelt die mehrdimensionale Differential- und Integralrechnung, sowie eine Einführung in Differentialgleichungen für das lehramt.	Dr. Ingolf Schäfer

Bachelor 6. Semester

Course number	Title of event	Lecturer
03-M-STO-1	Stochastics Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 GW2 B1410 Vorlesung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1470 MZH 4140 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 4140 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 4140 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1470 Übung Additional dates: Fri. 25.10.24 08:00 - 10:00 MZH 1380/1400	Prof. Dr. Marc Keßeböhmer

Master 2. Semester

Course number	Title of event	Lecturer
03-M-D4-1	D4 - Option 1: Analyzing and creating learning processes in Mathematics (Gruppe 1 - ungerade Wochen) Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 External location: Matelier Seminar Additional dates: Mon. 26.02.24 14:00 - 20:00 MZH 5600 Mon. 11.03.24 14:00 - 20:00 MZH 5600 Dieses Angebot findet nur in ungeraden Kalenderwochen statt. In dieser Veranstaltung wird eine theoriebasierte Vorbereitung und Auswertung von Lernarrangements im Mathematikunterricht unterstützt und begleitet. Dabei wird auf grundlegende Konzeptionen von Mathematikunterricht aufgebaut. Im Praxissemester geht es darum, die im Studium und in den bisherigen Praxisphasen erworbenen Kenntnisse und Kompetenzen zur Diagnose und zum unterrichtlichen Handeln im Mathematikunterricht auszubauen. Es geht darum Unterricht zu planen, durchzuführen und zu reflektieren.	Prof. Dr. Christine Knipping Roland Gerwin Paatz Dr. Thomas Janßen
03-M-D4-2	D4- Option 2: Analyzing and creating learning processes in Mathematics (Gruppe 2 - gerade Wochen) Seminar (Teaching) ECTS: 3 Dates: fortnightly (starts in week: 2) Mon. 16:00 - 18:00 MZH 1100 Seminar Additional dates: Mon. 26.02.24 14:00 - 20:00 Mon. 11.03.24 14:00 - 20:00 Dieses Angebot findet nur in geraden Kalenderwochen statt. In dieser Veranstaltung wird eine theoriebasierte Vorbereitung und Auswertung von Lernarrangements im Mathematikunterricht unterstützt und begleitet. Dabei wird auf grundlegende Konzeptionen von Mathematikunterricht aufgebaut. Im Praxissemester geht es darum, die im Studium und in den bisherigen Praxisphasen erworbenen Kenntnisse und Kompetenzen zur Diagnose und zum unterrichtlichen Handeln im Mathematikunterricht auszubauen. Es geht darum Unterricht zu planen, durchzuführen und zu reflektieren.	Dr. Thomas Janßen Roland Gerwin Paatz Prof. Dr. Christine Knipping

Master: 3. Semester

Course number	Title of event	Lecturer
03-M-Gy8-2.1	Vertiefung Algebra/ Zahlentheorie Gruppe 1 Seminar (Teaching) ECTS: 3 Additional dates: Wed. 17.07.24 09:00 - 14:00 MZH 5600	PD Dr. Hendrik Vogt

Master 4. Semester

Course number	Title of event	Lecturer
03-M-D5-2.1	Thinking and acting mathematically 1: Inclusion in mathematics education Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 Seminar Das Seminar findet im MZH in Raum 1100 statt. Die Veranstaltung betrachtet mathematikdidaktische Fragestellungen mit Blick auf sonderpädagogisch förderbedürftige Schüler_innen. Zugänge zu Arbeitsweisen, Methoden, Terminologien und Erkenntnisse der inklusiven Mathematikdidaktik werden dazu erarbeitet.	Dr. Thomas Janßen
03-M-D5-2.2	Thinking and acting mathematically 2: Didactics of Algebra Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1100 Seminar	Prof. Dr. Christine Knipping
03-M-D6-3	Developing Research Methods Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00 Seminar	Dr. Ingolf Schäfer

Forschungsseminar

Course number	Title of event	Lecturer
03-M-FS-1	Forschungsseminar zur Mathematikdidaktik Seminar (Teaching) Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 Seminar	Prof. Dr. Christine Knipping Prof. Dr. Maike Vollstedt

Kolloquien

Course number	Title of event	Lecturer
03-M-KOL-1	Mathematisches Kolloquium Colloquium (Teaching) Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00	Prof. Dr. Christine Knipping Prof. Dr. Thorsten-Ingo Dickhaus

General Studies

Course number	Title of event	Lecturer
03-M-GS-1	Mathematics in Professional Practice Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1470 Seminar Die Mathematik lebt davon, dass abstrahiert wird. Im Studium der Mathematik und der Industriemathematik erlernt man dieses abstrakte Denken und übersieht vielleicht, wie gut dieses Studium für den Arbeitsmarkt qualifiziert. Daher soll dieses Seminar Impulse setzen und Hilfen geben, um sich mit der eigenen beruflichen Karriere auseinanderzusetzen.	Matthias Knauer
03-M-GS-15	Introduction to discrete structures Seminar (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Übung weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 7200 Vorlesung/Plenum Zu den Themen, die in diesem Kurs behandelt werden, gehören: Mengenlehre, d.h. Schreibweisen, Mengenoperationen, Produkt- und Potenzmengen Beweise und Logik Kombinatorik (Variationen, Permutationen, Kombinationen, Binomialkoeffizienten, u.a.) Graphentheorie (Planare Graphen, Wege in Graphen, Färbungen, Bäume)	Anastasios Stefanou
03-M-SQ-1	Computer Practice anerkannt als Modul Schlüsselqualifikation im Lehramt Seminar (Teaching) ECTS: 3 Additional dates: Mon. 19.02.24 10:15 - 11:45 MZH 5220 (Didaktiklabor) Mon. 18.03.24 - Wed. 20.03.24 (Mon., Tue., Wed.) 08:00 - 18:00 MZH 5500 Vorbesprechung Montag 12.02.2024 von 10-12h	Prof. Dr. Maike Vollstedt

Medical Biometry / Biostatistics, M.Sc.

Modulbereich Anwendungsfelder und biomedizinische Grundlagen

Course number	Title of event	Lecturer
03-BioStat-A-5-5	Biometric Research in Medicine Probleme aus der biometrischen Forschung (Medizin) Seminar (Teaching) ECTS: 3	Prof. Dr. Werner Brannath

Wahlbereich

Course number	Title of event	Lecturer
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath

Sonstige Veranstaltungen

Course number	Title of event	Lecturer
03-M-GS-7	Introduction to R (in English) Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 13:00 GW1 A0150 Seminar 3 SWS Seminar Raum wird nach Anmeldung in Stud.IP bekannt gegeben. Homepage des KKSB und Uni-Lageplan	Prof. Dr. Werner Brannath Eike Voß

Technomathematik, B.Sc./M.Sc. (Studienbeginn vor 2022)

Veranstaltungen vor dem 1. Semester

Course number	Title of event	Lecturer
03-M-BM	Preparation Course Mathematics at the University Bremen Blockveranstaltung (Teaching) Der Kurs findet in der zweiten und dritten Märzwoche statt. Details werden noch bekanntgegeben.	Dr. Ingolf Schäfer

Bachelor: Pflichtveranstaltungen

Course number	Title of event	Lecturer
03-M-ANA-2.1	Analysis 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 SFG 0150 Vorlesung weekly (starts in week: 1) Fri. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 4140 Übung	PD Dr. Hendrik Vogt
03-M-ANA-2.2	Additional Topics in Analysis 2 Projektplenum (Teaching) ECTS: 1,5 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 SFG 0150 Plenum	PD Dr. Hendrik Vogt
03-M-FANA-1	Functional Analysis Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1100 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1100 Vorlesung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1100 Übung Additional dates: Wed. 10.07.24 10:00 - 12:00 MZH 1470 Die Funktionalanalysis untersucht unendlichdimensionale Räume und die darauf definierten Operatoren.	Alfred Schmidt
03-M-LAG-2.1	Linear Algebra 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1470 Vorlesung weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1470 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1470 Vorlesung	Eugenia Saorin Gomez
03-M-LAG-2.2	Additional Topics in Linear Algebra 2 Projektplenum (Teaching) ECTS: 1,5 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5500 Plenum Additional dates: Thu. 06.06.24 08:00 - 10:00 MZH 4140 Thu. 27.06.24 08:00 - 10:00	Eugenia Saorin Gomez
03-M-NUM-2	Numerical Calculus 2 Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1100 Vorlesung weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1100 Übung Fortsetzung von Numerik~1: Entwicklung und Analyse von Algorithmen zur approximativen Lösung mathematischer Probleme, die insbesondere in industriellen Anwendungen auftreten.	Ronald Stöver

Bachelor: Wahlpflichtveranstaltungen

Course number	Title of event	Lecturer
03-M-FTH-6	Topology Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 GW2 B1400 NUR Mi. - So. weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 7200 Vorlesung	Prof. Dr. Eva-Maria Feichtner
03-M-STO-1	Stochastics Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 GW2 B1410 Vorlesung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1470 MZH 4140 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 4140 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 4140 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1470 Übung Additional dates: Fri. 25.10.24 08:00 - 10:00 MZH 1380/1400	Prof. Dr. Marc Keßeböhmer
03-M-VOR-1	Presentation of Upper-Level Math Courses Blockeinheit (Teaching) Additional dates: Tue. 02.04.24 12:00 - 14:00 MZH 1470 Aktuelle Informationsbroschüren finden Sie unter www.szmathe.uni-bremen.de	Prof. Dr. Thorsten-Ingo Dickhaus Dr. Ingolf Schäfer

Bachelor: Proseminare

Course number	Title of event	Lecturer
03-M-MKOMI-1	Seminar: Industrial Mathematics Introductory seminar course (Teaching) ECTS: 3 / 5 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 1100 Promseminar Einblicke in die Industriemathematik: mathematische Modellierung, Analyse und numerische Simulationen zu wöchentlich wechselnden Anwendungsproblemen.	Ronald Stöver

Master: Pflichtveranstaltungen

Course number	Title of event	Lecturer
03-M-MP-1	Modeling Project (Part 1) (in English) Seminar (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 2340 Seminar Over the course of two semesters, the participants of the modeling project work in teams on a project in which they are supposed to use the mathematical knowledge they have already acquired in applications outside of mathematics. The project partners can be industrial companies or research institutes.	Tobias Kluth Peter Maaß

Master: Wahlpflichtveranstaltungen

Course number	Title of event	Lecturer
03-IMAT-APX (03-ME-602.99a)	Approximation Algorithms (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung Profil: SQ, KIKR. Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC weitere Studiengänge: M-M-Alg-Num, M-T https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances. We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics: • Greedy algorithms and Local Search • Rounding Data and Dynamic Programming • Deterministic Rounding of Linear Programs (LPs) • Random Sampling and Randomized Rounding of LPs • Primal-Dual Methods • Hardness of Approximation • Problem Solving under Uncertainty	Dr. Felix Christian Hommelsheim
03-M-SP-12	High-Performance Visualization (in English) Interactive Exploration for the Analysis of Large-scale Scientific Datasets Lecture (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise Additional dates: Thu. 11.07.24 14:00 - 18:00 MZH 1110 Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500 The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert. Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization	Prof. Dr. Andreas Gerndt
03-M-SP-14	Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture Additional dates: Wed. 10.07.24 14:00 - 16:00 ZOOM Wed. 17.07.24 14:00 - 16:00 ZOOM Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30 This course provides an introduction to the practice of scientific programming.	Alfred Schmidt Prof. Dr. Stephan Frickenhaus
03-M-SP-15	Analytic and Discrete Convex Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 4140 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.	Eugenia Saorin Gomez
03-M-SP-16	Mathematical Foundations of Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.	Peter Maaß Dr. Matthias Beckmann
03-M-SP-20	Digital Optimal Control and Optimal Feedback Control (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise Die Veranstaltung findet im NEOS Gebäude statt.	Prof. Dr. Christof Büskens
03-M-SP-22	Linear and Generalized Linear Regression (Statistics II) (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture Additional dates: Thu. 25.07.24 10:00 - 12:00 MZH 7200	Maryam Movahedifar
03-M-SP-32	Spectral Theory (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise	PD Dr. Hendrik Vogt
03-M-SP-33	Semiparametric Models (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung Die Veranstaltung findet im KKSB statt. The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.	Prof. Dr. Werner Brannath
03-M-SP-34	Differential Geometry (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.	Prof. Dr. Anke Dorothea Pohl
03-M-SP-35	Selected Topics in Convex Optimization (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.	Sebastian Banert Dirk Lorenz
03-M-SP-36	Selected Topics on Optimization for Machine Learning (in English) Lecture (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise	Dirk Lorenz Lionel Ngoupeyou Tondji
03-M-VOR-1	Presentation of Upper-Level Math Courses Blockeinheit (Teaching) Additional dates: Tue. 02.04.24 12:00 - 14:00 MZH 1470 Aktuelle Informationsbroschüren finden Sie unter www.szmathe.uni-bremen.de	Prof. Dr. Thorsten-Ingo Dickhaus Dr. Ingolf Schäfer

Master: Seminare

Course number	Title of event	Lecturer
03-M-AC-21	Deep Learning for Inverse Problems (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar	Peter Maaß
03-M-AC-22	Advanced Communication Analysis (in English) Seminar (Teaching) ECTS: 4,5/6 Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar Additional dates: Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400 In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants	Prof. Dr. Anke Dorothea Pohl
03-M-AC-23	Advanced Robust Control (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar	Dr. Chathura Wanigasekara
03-M-AC-28	Advanced Numerical Methods for Partial Differential Equations (in English) Seminar (Teaching) ECTS: 4,5 / 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 2340 Seminar Seminar on advanced numerical methods for partial differential equations	Alfred Schmidt

Oberseminare

Course number	Title of event	Lecturer
	Research Seminar - Mathematical Parameter Identification (RTG) (in English) Seminar (Teaching) Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2340 Homepage zur Veranstaltung: https://www.uni-bremen.de/rtg-pi3/qualification/rtg-seminar	Dr. rer. nat. Pascal Fernsel

Kolloquien

Course number	Title of event	Lecturer
03-M-KOL-1	Mathematisches Kolloquium Colloquium (Teaching) Dates: weekly (starts in week: 1) Tue. 16:00 - 18:00	Prof. Dr. Christine Knipping Prof. Dr. Thorsten-Ingo Dickhaus

General Studies

Course number	Title of event	Lecturer
03-IBFW-HTO (03-BE-699.12)	Hands-on Tutorial on Optimization (in English) Blockveranstaltung (Teaching) ECTS: 3 Additional dates: Mon. 23.09.24 - Fri. 27.09.24 (Mon., Tue., Wed., Thu., Fri.) 09:00 - 17:00 MZH 5500 https://lvb.informatik.uni-bremen.de/igs/03-ibfw-hto.pdf A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be formulated as discrete linear optimization problems. This course briefly introduces the theory of such problems. We develop a toolkit to model real-world problems as (discrete) linear programs. We also explore several ways to find integer solutions such as cutting planes, branch & bound, and column generation. Throughout the course, we learn these skills by modeling and solving, for example, scheduling, packing, matching, routing, and network-design problems. We focus on translating practical examples into mixed-integer linear programs. We learn how to use solvers (such as CPLEX and Gurobi) and tailor the solution process to certain properties of the problem. This course consists of two phases: One week Mon-Fri (full day, 9-5) of lectures and practical labs: September 23-27, in MZH. A subsequent project period: One problem has to be modeled, implemented, and solved individually or in a group of at most three students. The topic will be provided by the lecturers and will be discussed on the last day of the block course. The project including the implementation has to be presented in the beginning of the winter semester. There are no prerequisites except some basic programming skills to participate.	Prof. Dr. Nicole Megow
03-M-GS-1	Mathematics in Professional Practice Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1470 Seminar Die Mathematik lebt davon, dass abstrahiert wird. Im Studium der Mathematik und der Industriemathematik erlernt man dieses abstrakte Denken und übersieht vielleicht, wie gut dieses Studium für den Arbeitsmarkt qualifiziert. Daher soll dieses Seminar Impulse setzen und Hilfen geben, um sich mit der eigenen beruflichen Karriere auseinanderzusetzen.	Matthias Knauer
03-M-GS-7	Introduction to R (in English) Lecture (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 10:00 - 13:00 GW1 A0150 Seminar 3 SWS Seminar Raum wird nach Anmeldung in Stud.IP bekannt gegeben. Homepage des KKSB und Uni-Lageplan	Prof. Dr. Werner Brannath Eike Voß
03-M-GS-15	Introduction to discrete structures Seminar (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Übung weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 7200 Vorlesung weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 7200 Vorlesung/Plenum Zu den Themen, die in diesem Kurs behandelt werden, gehören: Mengenlehre, d.h. Schreibweisen, Mengenoperationen, Produkt- und Potenzmengen Beweise und Logik Kombinatorik (Variationen, Permutationen, Kombinationen, Binomialkoeffizienten, u.a.) Graphentheorie (Planare Graphen, Wege in Graphen, Färbungen, Bäume)	Anastasios Stefanou
SZHB 0622	ONLINE: English for Mathematicians and Industrial Mathematicians (Zertifikatskurs UNIcert II) (B2.3) (in English) Eingangsniveau: B2.2 Kurs (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 16:15 - 17:55 External location: Onlinekurs (2 Teaching hours per week) Kursinformationen und Onlineanmeldung unter: https://kurse.sprachenzentrum-bremen.de/course/summer-2024/282d1a14-8b09-42f2-8e14-fd3e8107a1df	Edwin Shillington

Systems Engineering, B.Sc. / M.Sc.

Course number	Title of event	Lecturer
03-IMAA-IMS	Introduction to intelligent marine systems Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1110 Vorlesung Additional dates: Tue. 30.04.24 12:15 - 14:00 MARUM I Haupteingang Treffen 12:15 Profil: KIKR Schwerpunkt: IMVA-AI Die Vorlesung „Einführung in Intelligent Marine Systeme“ setzt sich aus drei Hauptelementen zusammen: 1. Vermittlung der Grundlagen die beim Entwurf und der Entwicklung mariner Systeme, vornehmlich Unterwasser-Systeme, zu berücksichtigen sind. Dazu gehören neben der Vorstellung der verschiedenen Systemkonzepte wie z.B. Remotely Operated Vehicles (ROV) und Autonomous Underwater Vehicles (AUV) und der Sensorik auch Methoden der Navigation, Kommunikation, Antrieb, Energieversorgung und Steuerung. 2. Gastvorträge von Entwicklern, Anwendern und potenzieller Nutzer mit Besuch des des MARUM. Gastvorträge (bestätigt): Kraken Robotik GmbH ROSEN Technology and Research Center GmbH 3. Ein, mit den TeilnehmerInnen, zusammen entwickeltes und ausgearbeitetes Systemkonzept, welches auf die verschiedenen meerestechnisch spezifischen Gesichtspunkte (siehe 1.) eingeht. (Präsentation, Peer-evaluation) Ziele der Vorlesung: • Grundlegendes Verständnis der marinen Umwelt im Kontext technischer Systeme • Verständnis der spezifischen Herausforderungen mariner Systeme gegenüber terrestrischen Systemlösungen • Übersicht über den gegenwärtigen Stand der Technik bei mobilen und stationären Systemen • Übersicht der verschiedenen Sensormodalitäten, die gegenwärtig eingesetzt werden • Fähigkeit ein einfaches Systemkonzeptunter Berücksichtigung der maritimen Randbedingungen zusammenzustellen. Prüfungsform: Individuelles Fachgespräch oder mündliche Prüfung Peer evaluierte Präsentation (ausgeführt in Kleingruppen: 2-3 Personen)	Prof. Dr. Ralf Bachmayer
03-IMAP-AML	Advanced Machine Learning (in English) Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 6200 Übung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1450 Übung weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1380/1400 Vorlesung Profil: KIKR Schwerpunkt: IMAP-AI, IMA-VMC https://lvb.informatik.uni-bremen.de/imap/03-imap-aml.pdf	Tanja Schultz Felix Putze
03-IMAP-RL (03-ME-712.03)	Reinforcement Learning (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 DFKI RH1 B0.10 Kurs weekly (starts in week: 1) Thu. 16:00 - 18:00 DFKI RH1 B0.10 Kurs Profil: KIKR. Schwerpunkt: IMA-AI, IMVP-VMC https://lvb.informatik.uni-bremen.de/imap/03-imap-rl.pdf	Frank Kirchner Melvin Laux
03-IMVP-VPP	Distributed and Parallel Programming (with VMs) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 4140 MZH 1110 Kurs weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 5500 Kurs Additional dates: Wed. 14.08.24 10:00 - 12:00 MZH5500 Profil: SQ Schwerpunkt: IMVP-SQ, IMVP-AI https://lvb.informatik.uni-bremen.de/imvp/03-imvp-vpp.pdf zzgl.2 SWS nach Vereinbarung	Prof. Dr. Stefan Bosse, Dipl.-Phys.

Wirtschaftsinformatik, B.Sc.

1. Studienjahr

Pflichtmodule

BWL-4

Finanzwirtschaft

Course number	Title of event	Lecturer
07-BA37-130-01	Finance and Investment Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 HS 2010 (Großer Hörsaal)	Dr. Gerrit Liedtke

BWL-2

Marketing

Course number	Title of event	Lecturer
07-BA37-120-01	Marketing Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 08:00 - 10:00 HS 2010 (Großer Hörsaal) Additional dates: Wed. 10.04.24 10:00 - 12:00 DIGITAL Wed. 17.04.24 10:00 - 12:00 HS 2010 (Großer Hörsaal) Wed. 22.05.24 10:00 - 12:00 HS 2010 (Großer Hörsaal)	Prof. Dr. Kristina Klein
07-BA37-120-02	Marketing Exercises (Teaching) Dates: weekly (starts in week: 1) Wed. 10:00 - 12:00 External location: DIGITAL	Prof. Dr. Kristina Klein Mirko Wiemann

BWL-3

Produktion und Logistik

Course number	Title of event	Lecturer
07-B37-2-04-01	Production and Logistics Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 HS 2010 (Großer Hörsaal)	Tobias Witt Matthias Klumpp
07-B37-2-04-02	Production and Logistics Exercises (Teaching) Dates: weekly (starts in week: 1) Wed. 16:00 - 18:00 HS 2010 (Großer Hörsaal)	Tobias Witt Matthias Klumpp

INF-2

Praktische Informatik 2

Course number	Title of event	Lecturer
03-IBGP-PI2 (03-BA-700.02)	Practical Computer Science 2 für Studierende der Informatik, Wirtschaftsinformatik und Systems Engineering Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 1090 Übung weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 1100 Übung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1090 Übung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1450 Übung weekly (starts in week: 1) Tue. 14:00 - 16:00 HS 2010 (Großer Hörsaal) Vorlesung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1100 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 5600 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1090 GW2 B1410 Übung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1450 Übung weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 5500 Übung weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 6200 Übung Additional dates: Thu. 29.08.24 14:00 - 16:00 GW2 B1170 Für Komplemetärfach Informatik, berufliche Weiterbildung und Digi-Med Studierende gibt es 03-DMB-MI-22-OOP Objektorientierte Programmierung und 03-DMB-MI-22_AUD2 Algorithmen und Datenstrukturen.	Thomas Röfer

INF-3

Software-Projekt 1

Course number	Title of event	Lecturer
03-IBGP-DBM	Foundations of Data Bases and Modeling Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 HS 2010 (Großer Hörsaal) Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 NW2 C0290 (Hörsaal 1) Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 HS 2010 (Großer Hörsaal) Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 GW2 B3009 (Großer Studierraum) Fragestunde Additional dates: Mon. 30.09.24 10:00 - 13:00 NW1 H 1 - H0020 Mon. 30.09.24 10:00 - 13:00 HS 2010 (Großer Hörsaal) Für WInf-Studierende BPO '13 im zweiten Semester weitere 3 CP in Freie Wahl als Ersatz für SWP1. Für fortgeschrittene SysEng-Studierende als Ersatz für SWP1. Für Studierende, die an der Vorlesung nicht teilnehmen können, gibt es eine Aufzeichnung des Vorlesungsanteils aus dem vorigen Jahr.	Prof. Dr. Sebastian Maneth

2./3. Studienjahr

Pflichtmodule

MAT-2

Statistik

Course number	Title of event	Lecturer
07-B37-2-11-01	Statistics Lecture (Teaching) ECTS: 9 Die Lehrveransaltung findet digital asynchron statt.	Prof. Dr. Martin Missong
07-B37-2-11-02	Statistics Exercises (Teaching) Die Übung findet digital asynchron statt.	Prof. Dr. Martin Missong
07-B37-2-11-03	Statistics Tutorial (Teaching) Die Tutorien finden digital asynchron statt.	Prof. Dr. Martin Missong
07-BA37-530-01	Statistics Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 12:00 - 14:00 HS 2010 (Großer Hörsaal)	Prof. Dr. Martin Missong
07-BA37-530-02	Statistics Exercises (Teaching) Dates: weekly (starts in week: 1) Wed. 12:00 - 14:00 HS 2010 (Großer Hörsaal) GW1-HS H0070 Additional dates: Wed. 03.04.24 12:00 - 14:00 GW1-HS H0070 Wed. 10.04.24 12:00 - 14:00 GW1-HS H0070	Prof. Dr. Martin Missong
07-BA37-530-03	Statistics Tutorial (Teaching) Dates: weekly (starts in week: 1) Mon. 18:00 - 20:00 WiWi1 A1100 weekly (starts in week: 1) Tue. 10:00 - 12:00 WiWi1 A1100 WiWi1 A1070 weekly (starts in week: 1) Wed. 08:00 - 10:00 WiWi1 A1100 WiWi1 A1070 weekly (starts in week: 1) Wed. 08:00 - 10:00 WiWi1 A1100 weekly (starts in week: 1) Thu. 08:00 - 10:00 WiWi1 A1100 weekly (starts in week: 1) Fri. 08:00 - 10:00 WiWi1 A1100	Prof. Dr. Martin Missong

BWL-5

Innovationsmanagement

Course number	Title of event	Lecturer
07-V10-4-M0401	Innovation Management Lecture (Teaching) ECTS: B.Sc.: 6; M Sc.: 3 Dates: weekly (starts in week: 1) Thu. 10:00 - 12:00 GW2 B1410	Prof. Dr. Martin Möhrle

BWL-6

Industrial Economics

Course number	Title of event	Lecturer
07-B35-6-06-01	Industrial Economics Lecture (Teaching) ECTS: 6 DIe Veranstaltung findet digital asynchron statt.	Prof. Dr. Christian Claus Cordes

INF-5

Technische Grundlagen der Informatik

Course number	Title of event	Lecturer
03-DMB-MI-23-TGI	Technical Basics for Informatics Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1380/1400 Übung weekly (starts in week: 1) Tue. 10:00 - 12:00 GW2 B1820 Vorlesung weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 5500 MZH 1470 Übung weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 1470 Übung Nicht für Vollfach-Informatik-Studierende anrechenbar.	Stefanie Gerdes

Wahlmodule

Überblick Wahlmodule

Course number	Title of event	Lecturer
03-I-LVÜ	Überblick über das Wahlangebot im Fach Informatik Lecture (Teaching) Die Veranstaltung gibt einen Überblick über das Wahlangebot im Fach Informatik für die Studiengänge Bachelor und Master Informatik, Bachelor Digitale Medien, Bachelor Wirtschaftsinformatik sowie Bachelor und Master Systems Engineering. Die Veranstaltung findet online asynchron statt.	Ute Bormann

Rechtliche Grundlagen (X-3)

Recht (X-3/1)

Course number	Title of event	Lecturer
07-BA37-720-01	Law Lecture (Teaching) ECTS: 6 Dates: fortnightly (starts in week: 1) Fri. 14:00 - 18:00 GW1-HS H0070 Additional dates: Fri. 12.04.24 14:00 - 18:00 GW1-HS H0070 Fri. 26.04.24 14:00 - 18:00 GW1-HS H0070 Fri. 07.06.24 14:00 - 18:00 HS 2010 (Großer Hörsaal) Fri. 05.07.24 14:00 - 18:00 GW1-HS H0070	Dr. Irene Pötting

Fortgechrittene Methoden des Medien- und IT-Rechts

Course number	Title of event	Lecturer
03-IMS-FTITR (03-ME-803.08)	Advanced Legal Issues of Digital Media and ICT Rechtliche Aspekte von Virtual and Augmented Reality Seminar (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Tue. 12:00 - 14:00 Seminar online Profil: SQ, DMI https://lvb.informatik.uni-bremen.de/ims/03-ims-ftitr.pdf Das Seminar findet online über ZOOM statt. Im Rahmen des Seminars können 3 ECTS-Punkte erzielt werden. Dazu ist eine mündliche Präsentation - per Videokonferenz - zu einem abgestimmten Thema in einem Umfang von 20 Minuten zu erbringen sowie ein schriftliches einseitiges Handout/Abstract zu erstellen (diese sollte per E-Mail an die Lehrende geschickt werden). Zudem ist es möglich im Rahmen des Seminars 6 ECTS-Punkte zu erzielen. Dazu ist eine mündliche Präsentation - per Videokonferenz - zu einem abgestimmten Thema in einem Umfang von 20 Minuten zu erbringen sowie eine schriftliche Ausarbeitung des Themas in einem Umfang von 10 Seiten bis zum 02.07.2024 zu erstellen (die Ausarbeitung soll per E-Mail an die Lehrende versendet werden).	Prof. Dr. Iris Kirchner-Freis, LL.M.Eur.

Schwerpunkt "Computational Finance"

WI-CF-P

Course number	Title of event	Lecturer
07-B37-6-14-16	Computational Finance with MATLAB Seminar (Teaching) ECTS: 9 Dates: weekly (starts in week: 1) Thu. 08:00 - 10:00 WiWi1 A1170 - PC-Pool Additional dates: Fri. 05.07.24 08:00 - 14:00 WiWi2 F4090 http://www.fiwi.uni-bremen.de	Prof. Dr. Thorsten Poddig

WI-CF-WP

Auflistung der WInf-Schwerpunkt-Wahlmodule siehe unter WInf-Wahlmodule

Course number	Title of event	Lecturer
03-IBAP-ML (03-BB-710.10)	Fundamentals of Machine Learning (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 1470 Übung weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1380/1400 GW2 B1820 Übung Additional dates: Wed. 12.06.24 08:00 - 09:30 MZH 1380/1400 Tue. 23.07.24 14:00 - 16:00 NW1 H 1 - H0020 Schwerpunkt: AI https://lvb.informatik.uni-bremen.de/ibap/03-ibap-ml.pdf Die Übungen starten in der 2. Semesterwoche.	Tanja Schultz Felix Putze Darius Ivucic Gabriel Ivucic Zhao Ren
07-B37-4-14-10	Digital Financial Reporting and Accounting Information Systems Seminar (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Thu. 12:00 - 14:00 WiWi1 A1070	Prof. Dr. Thomas Reinhard Loy

Schwerpunkt "E-Business"

WI-EB-P

Course number	Title of event	Lecturer
07-B37-4-13-15	Digital Business and Management (in English) Seminar (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 WiWi1 A1100	Dr. Phil Hennel

WI-EB-WP

Auflistung der WInf-Schwerpunkt-Wahlmodule siehe unter Winf-Wahlmodule

Course number	Title of event	Lecturer
03-IBAA-GOVTEC	Government Technology Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 5600 Vorlesung weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 5600 Übung https://lvb.informatik.uni-bremen.de/ibaa/03-ibaa-govtec.pdf Die digitale Transformation des öffentlichen Sektors wird mit einer Fülle an unterschiedlichen Technologien vorangetrieben, die es ermöglichen, Prozesse zu automatisieren, die Effizienz zu steigern und die Interaktion mit Bürger*innen zu verbessern. Im Rahmen des Moduls Government Technology haben die Studierenden die Möglichkeit, solche Technologien anhand von Praxisbeispielen kennenzulernen und zu vertiefen. Hierbei werden auch die Chancen und Risiken der verschiedenen Technologien beleuchtet, um ein umfassendes Verständnis für deren Einsatz im öffentlichen Sektor zu erlangen. Dabei spielen Themen wie Künstliche Intelligenz, Blockchain, Robotic Process Automation und Mixed Reality eine wichtige Rolle. Im Rahmen des Moduls Government Technology haben die Studierenden nicht nur die Möglichkeit, theoretische Konzepte kennenzulernen, sondern auch anhand von realen Beispielen zu vertiefen. Hierbei werden konkrete Anwendungen und Projekte aus dem öffentlichen Sektor vorgestellt, die bereits mit den genannten Technologien umgesetzt wurden. Dabei lernen die Studierenden nicht nur die technischen Aspekte kennen, sondern auch die Herausforderungen, die bei der Einführung und Nutzung solcher Technologien im öffentlichen Sektor auftreten können.	Dr. Gerhard Klassen Prof. Dr. Dr. Björn Niehaves Luca Tom Bauer

Schwerpunkt "Informationstechnikmanagement"

WI-IM-P

Course number	Title of event	Lecturer
03-IBAA-ITM (03-BB-802.01)	IT Management Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 1380/1400 Übung weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1470 Übung weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1470 Vorlesung https://lvb.informatik.uni-bremen.de/ibaa/03-ibaa-itm.pdf	Prof. Dr. Andreas Breiter

WI-IM-WP

Auflistung der WInf-Schwerpunkt-Wahlmodule siehe unter WInf-Wahlmodule

Course number	Title of event	Lecturer
07-B37-4-13-16	Digital Ethics (in English) Seminar (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Thu. 08:00 - 10:00 WiWi2 F3290 Additional dates: Thu. 27.06.24 16:00 - 18:00 DIGITAL	Prof. Dr. Benjamin Müller, MBA

Schwerpunkt "Logistik"

WI-LO-P

Course number	Title of event	Lecturer
03-IBAT-OR (03-BB-699.01)	Operations Research Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 2) Mon. 14:00 - 16:00 MZH 1380/1400 Vorlesung weekly (starts in week: 2) Tue. 08:00 - 10:00 MZH 6200 Übung weekly (starts in week: 2) Wed. 14:00 - 16:00 MZH 6200 Übung Additional dates: Tue. 30.07.24 10:00 - 13:00 MZH 1090 Wed. 02.10.24 10:00 - 13:00 MZH 6200 https://lvb.informatik.uni-bremen.de/ibat/03-ibat-or.pdf	Dr. Felix Christian Hommelsheim Dr. Jens Schlöter

WInf-Wahlmodule

WI-W/02 Rechnernetze

Schwerpunkte: EB, IM, LO

Course number	Title of event	Lecturer
03-IBAP-RN (03-BB-704.01)	Computer Networks Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung Online weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 6200 Kurs weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 6200 Kurs https://lvb.informatik.uni-bremen.de/ibap/03-ibap-rn.pdf	Ute Bormann

WI-W/05 Grundlagen der Künstlichen Intelligenz

Schwerpunkte: CF, LO

Course number	Title of event	Lecturer
03-IBAP-KI (03-BB-710.01)	Foundations of Artificial Intelligence Lecture (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1380/1400 Vorlesung weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1380/1400 Übung Additional dates: Tue. 13.08.24 13:00 - 16:00 HS 1010 (Kleiner Hörsaal) Schwerpunkt: AI https://lvb.informatik.uni-bremen.de/ibap/03-ibap-ki.pdf	Michael Beetz

WI-W/11 Data Science

Schwerpunkt: CF

Course number	Title of event	Lecturer
03-IBVA-DSV (03-BE-802.98a)	Data Science and Visualization (in English) Kurs (Teaching) ECTS: 6 Dates: weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 5600 Kurs weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 5600 Kurs Eine Doppelanerkennung von 'Data Science' und 'Data Science and Visualization' ist nicht möglich. https://lvb.informatik.uni-bremen.de/ibv/03-ibva-dsv.pdf The class will provide an introduction to data science and information visualization. For this, the programming language Python will be used (and taught). For creating data visualizations, you will be able to choose among a series of tools (e.g., Plotly, Observable, etc.) We will explore different concepts from the fields of human-computer interaction, data visualization, and computer-supported collaborative work. You will learn about: • Basic statistics • Visualization techniques • Interaction design Exploratory data analysis and evaluation, as an integral part of data science, will also be taught. The course will involve applying the learned techniques to real-world datasets to develop a custom project. This class is taught in person and in English. Use material like the coursebook to learn more about the topics as we progress in the course.	Dr. Gabriela Molina Leon

WI-W/56 Gründungsmanagement I

Schwerpunkte: EB, IM, LO

Course number	Title of event	Lecturer
07-B37-4-13-03	Entrepreneurship I Seminar (Teaching) ECTS: 6 Dates: fortnightly (starts in week: 1) Fri. 14:00 - 18:00 WiWi1 A1070 http://www.lemex.uni-bremen.de	Prof. Dr. Jörg-Rainer Freiling

WI-W/63 Gründungsmanagement III

Course number	Title of event	Lecturer
07-B37-6-13-32	Entrepreneurship III Seminar (Teaching) ECTS: 9 Dates: fortnightly (starts in week: 1) Wed. 10:00 - 14:00 WiWi1 A1020	Dr. Jan Harima

WI-W/68 future concepts bremen – Fallstudien aus der Praxis

Schwerpunkt: EB

Course number	Title of event	Lecturer
07-B37-6-13-42	future concepts bremen - case studies from practice Seminar (Teaching) ECTS: 9 Dates: fortnightly (starts in week: 1) Thu. 10:00 - 14:00 WiWi1 A1100 Das Modul future concepts bremen – Fallstudien aus der Praxis bietet Dir Wissen und Fähigkeiten in den Bereichen Management, agile Strategieentwicklung- und implementierung. Du knüpfst Kontakte zu zukünftigen Arbeitgebenden. Zusammen mit Unternehmen und Organisationen aus Bremen werden in kleinen Teams zukunftsfähiger Geschäfts- und Organisationskonzepte entwickelt. Die Projekte werden von individuellen Gruppencoachings begleitet. Am Demo Day darfst Du mit Deinem Team Eure Lösungen öffentlich präsentieren. Für die Teilnahme werden keine Vorkenntnisse benötigt! Diese Lehrveranstaltung passt zu Dir im BWL-Studium mit Studienschwerpunkt Internationales Entrepreneurship, Management und Marketing (IEM²) als Modul 3, im Studium Wirtschaftsinformatik als Aufbaumodul für das Bachelorprojekt und in allen anderen Studiengängen als General Studies. Überzählige Credit Points können als freiwillige Zusatzleistung verrechnet werden. https://www.uni-bremen.de/lemex/transfer/future-concepts-bremen https://www.linkedin.com/showcase/future-concepts-bremen/?viewAsMember=true	M. Sc Leon Marquardt

WI-W/71 Forschungsmethoden der Wirtschaftsinformatik

Course number	Title of event	Lecturer
03-IBFS-RMIS	Research Methods in Information Systems Blockveranstaltung (Teaching) ECTS: 6 Additional dates: Wed. 10.04.24 16:00 - 17:30 8090 Sat. 27.04.24 10:00 - 18:00 8090 Sat. 01.06.24 10:00 - 18:00 8090 Sat. 15.06.24 10:00 - 18:00 8090 Fri. 05.07.24 16:00 - 17:30 8090 https://lvb.informatik.uni-bremen.de/igs/03-ibfs-rmis.pdf	Bastian Kordyaka Luca Tom Bauer

Bachelor-Projekt (WI-PR)

Es können neben den Projekten der Wirtschaftsinformatik auch die Bachelorprojekte der Informatik angewählt werden.
Studierende der WInf-PO\'23, die ein 12CP-FB7-Projekt wählen, belegen für das Modul Projekt-Ergänzung
regelhaft das eGS-Angebot Projektmanagement in der benoteten Variante. Die Projektbetreuer:innen können
ein benotetes Alternativ-Angebot dafür anbieten, das dann beim Prüfungsamt beantragt werden kann.

Course number	Title of event	Lecturer
03-IBPJ-AICI	Projekt AI x City ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 8100 Projekt-Plenum	Prof. Dr. Dr. Björn Niehaves Dr. Gerhard Klassen Luca Tom Bauer
03-IBPJ-COLLVR	Projekt CollabVR ( WiSe 23/24 bis SoSe 2024) Projektplenum (Teaching) ECTS: 3 Dates: weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 8100 Projekt-Plenum In CollabVR steht die Erstellung eines Kollaborationsraumes in VR und anschließender wissenschaftliche Bewertung der Kollaboration im Vordergrund. Es werden Grundlagen zu Theorie, modernen Kollaborations Technologien und Einsatzgebiete vermittelt. Im Fokus steht die selbsständige Erarbeiten eines Kollaborationraumskonzepts in VR.	Prof. Dr. Dr. Björn Niehaves Dr. Marc Wyszynski Sebastian Weber Raphael Palombo Dulce Maria Villegas Nunez

General Studies

\'Analyse von Wirtschaftsdaten\' wird in der BPO 2023 ersetzt durch \'Datenanalyse\'.

Course number	Title of event	Lecturer
META-2024-ALL-IF	27th International Informatica Feminale (in English) Informatica Feminale - Summer University for Women in Computing Sommeruniversität für Frauen in der Informatik /Summer University for Women in Computing Blockveranstaltung (Teaching) ECTS: 1-3 (je Kurs/for every course) 60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester 2024 sowie im Wintersemester 2024/25 anerkannt. Alle Einzelangaben, Zeiten und Anmeldungen jederzeit nur über die Website https://www.informatica-feminale.de. 60 courses in German and English for women Bachelor and Master students from all fields of study. Courses are part of General Studies, some are accepted in Informatics; in the summer semester 2024 as well as in winter semester 2024/25. Further information, schedules and registration only on the website https://www.informatica-feminale.de.	Veronika Oechtering Henrike Illig

Weitere Veranstaltungen

Course number	Title of event	Lecturer
07-BS37-4-33-01	PRAXIS Summer Camp 2023 - Experience first hand practice in projects with real projects from companies and institutions (for BA and MA) (in English) Experience first hand practice - small projects with companies Intensive Project Phase from 7th until 25th of August - interdisciplinary team work Seminar (Teaching) ECTS: 6 Additional dates: Fri. 05.04.24 14:00 - 16:00 WiWi1 A1100 Fri. 12.04.24 14:00 - 16:00 WiWi1 A1100 Fri. 26.07.24 08:00 - 18:00 WiWi1 A1100 Das PRAXIS Summer Camp ist ein sehr praxisorientiertes Lehrformat. Studierende verschiedenster Disziplinen arbeiten in kleinen Teams in einer 3-wöchigen intensiven Arbeitsphase an Projekten aus der Praxis. Es gibt eine gemeinschaftliche Kick-off Veranstaltung am 29. Juli 2024 und das Finale Event am 16. August 2024, wo alle Gruppen ihre Ergebnisse präsentieren. Da wir auch internationale Studierende mit einbinden, ist die Präsentationssprache Englisch. Dazwischen findet die Projektarbeit in Kleingruppen statt, zum Teil vor Ort im Unternehmen. Es wird ein Workload von 30 Std./Woche in flexilber Einteilung in Abstimmung mit dem Team erwartet. Weitere Infos und Timeline: https://blogs.uni-bremen.de/praxissummercamp https://www.uni-bremen.de/wiwi/praxis-und-transfer/angebote-fuer-studierende/praxisrelevante-seminare-und-events/praxis-summer-camp	Dipl.-Oec. Maren Hartstock

Contact persons for the study program

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Course Catalog

Study Program SoSe 2024

Fachbereich 03: Mathematik/Informatik

Artificial Intelligence and Intelligent Systems, M.Sc.

Digitale Medien, B.Sc.

1. Studienjahr

B-MI-21

B-MI-32

B-MI-22

B-MI-23

2. Studienjahr

Lehrveranstaltungs-Überblick

B-MI-8

B-MW-12

3. Studienjahr

Lehrveranstaltungs-Überblick

B-MI-9

B-MA-2

Graduiertenseminare

General Studies/Veranstaltungen anderer Studiengänge

Sonstige Veranstaltungen ohne Kreditpunkte

Informatica Feminale

Digitale Medien, M.Sc.

1st academic year

M-MI (Media Informatics)

M-MI-d ( Media Informatics in deutscher Sprache )

M-MT (Media Theory)

M-MA-2 (Special Topics in Digital Media)

M-MA-2-d ( Special Topics in Digital Media in deutscher Sprache)

M-MA-31 (Project Preparation)

2nd academic year

Graduate Seminars

General Studies

Elementarmathematik B.A. BiPEb / M.Ed. (Grundschule)

Bachelor 2. Semester

Bachelor 4. Semester

Industrial Mathematics & Data Analysis, M.Sc.

Foundations (33 CP)

Module: Modeling Project (15 CP)

Area of Focus: Data Analysis (45 CP)

Area of Focus (27 CP)

Extension (18 CP)

Area of Focus: Industrial Mathematics (45 CP)

Area of Focus (27 CP)

Extension (18 CP)

Industriemathematik, B.Sc.

Vor dem ersten Semester

Bachelor 2. Semester

Modul: Analysis 1-2 (21 CP)

Modul: Lineare Algebra 1-2 (21 CP)

Bachelor 4. Semester und höher

Modul: Fortgeschrittene Themen Industriemathematik (9 CP)

Modul: Funktionalanalysis (9 CP)

Modul: Mathematisches Kommunizieren in der Industriemathematik (3 CP)

Modul: Numerik 2 (9 CP)

General Studies - Fachergänzende Studien

Informatik, B.Sc./M.Sc.

Bachelor Informatik

Einführung Bachelor-Informatik

Komplementärfach Informatik

Bachelor 2. Semester

Bachelor 4. Semester und Folgende

Bachelorprojekte

Wahlbereich Bachelor-Aufbau (IBA) / Bachelor-Basis (BB)

Wahlbereich Bachelor-Vertiefung (IBV) / Bachelor-Ergänzung (BE)

Freie Wahl inkl. Seminare - IBFW / BE

Fachergänzende Studien

Master Informatik

Einführung Master-Informatik

Pflicht Master

Wahlbereich Master-Aufbau (IMA) / Master-Basis (MB)

Wahlbereich Master-Vertiefung (IMV) / Master-Ergänzung (ME)

Wahlbereich IMS / ME - Master Seminare

Wahlbereich IMPJ - Master-Projekte

General Studies

Graduiertenseminare

Kolloquien

Veranstaltungen für andere Studiengänge

Sonstige Veranstaltungen ohne Kreditpunkte

Informatica Feminale