Course Catalog

Study Program SoSe 2021

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

Bachelor: Pflichtveranstaltungen

Pflichtveranstaltungen für den Studiengang Mathematik B.Sc.
Course numberTitle of eventLecturer
03-M-ANA-2.1Analysis 2

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 Übung online
weekly (starts in week: 1) Mon. 14:00 - 16:00 Übung online
weekly (starts in week: 1) Tue. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Tue. 12:00 - 14:00 Übung online
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1380/1400 Plenum Präsenz
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1090 Übung
weekly (starts in week: 1) Fri. 10:00 - 12:00 Vorlesung online

Additional dates:
Wed. 01.09.21 10:00 - 12:00 MZH 1470
Prof. Dr. Jens Rademacher
03-M-ANA-2.2Vertiefung zur Analysis 2 für Vollfach

Projektplenum (Teaching)
ECTS: 1,5

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 Plenum
Prof. Dr. Jens Rademacher
03-M-LAG-2.1Lineare Algebra 2

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1380/1400 Übung Präsenz (von Mickwitz)
weekly (starts in week: 1) Wed. 08:00 - 10:00 Übung online (von Mickwitz)
weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung online (Friedrich)
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 1380/1400 Plenum Präsenz
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1380/1400 Übung online (Friedrich)
weekly (starts in week: 1) Fri. 12:00 - 14:00 Vorlesung online

Additional dates:
Fri. 29.10.21 08:00 - 12:00 MZH 7200
Eugenia Saorin Gomez
03-M-LAG-2.2Vertiefung zur Linearen Algebra 2 für Vollfach

Projektplenum (Teaching)
ECTS: 1,5

Dates:
weekly (starts in week: 1) Thu. 12:00 - 14:00 Plenum
Eugenia Saorin Gomez
03-M-STO-1Stochastik
Stochastics

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Tue. 14:00 - 16:00 Übung online
weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Thu. 12:00 - 14:00 Übung online
weekly (starts in week: 1) Thu. 12:00 - 14:00 Übung online
Prof. Dr. Marc Keßeböhmer

Bachelor: Wahlpflichtveranstaltungen

Wahlpflichtveranstaltungen für den Studiengang Mathematik B.Sc.
Course numberTitle of eventLecturer
03-M-FAN-1Funktionalanalysis
Functional Analysis

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 Vorlesung
weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung
weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung
PD Dr. Hendrik Vogt
03-M-NUM-2Numerik 2
Numerical Calculus 2

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Wed. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung online
weekly (starts in week: 1) Wed. 16:00 - 18:00 Übung online


Prof. Dr. Andreas Rademacher
03-M-VOR-1Vorstellung der Mathematik-Lehrveranstaltungen im SoSe 2021
Presentation of Upper-Level Math Courses

Blockeinheit (Teaching)

Und natürlich viele andere Dozierende.

Prof. Dr. Thorsten-Ingo Dickhaus
03-M-WP-24Ergodentheorie

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Tue. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Tue. 12:00 - 14:00 Übung online
Prof. Dr. Anke Dorothea Pohl
03-M-WP-35Topologie
Topology

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 Vorlesung
weekly (starts in week: 1) Tue. 08:00 - 10:00 Übung
weekly (starts in week: 1) Thu. 08:00 - 10:00 Vorlesung
Dr. Tim Haga
03-M-WP-49Digitale optimale Steuerung und Regelung

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Tue. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Tue. 14:00 - 16:00 Übung online
Prof. Dr. Christof Büskens

Bachelor: Proseminare

Course numberTitle of eventLecturer
03-M-PS-1Forschungserfahrungen im Bachelor
Research Experiences for Undergraduates

Introductory seminar course (Teaching)
ECTS: 5

Homepage zur Veranstaltung: http://www.feb.uni-bremen.de
Termine nach Vereinbarung

Prof. Dr. Marc Keßeböhmer
Prof. Dr. Jens Rademacher
Lars Siemer
03-M-PS-15Graphen und Algorithmen
Graphs and Algorithms

Introductory seminar course (Teaching)
ECTS: 5

Additional dates:
Mon. 14.06.21 - Tue. 15.06.21 (Mon., Tue.) 12:00 - 18:00 MZH 1470

Erstes Treffen und Vorbesprechung: Do, 15.04.2021, 14:15 Uhr (online).

Prof. Dr. Daniel Schmand
03-M-PS-TProseminar Technomathematik
Seminar: Industrial Mathematics

Introductory seminar course (Teaching)
ECTS: 5

Dates:
weekly (starts in week: 1) Thu. 12:00 - 14:00 Proseminar

Additional dates:
Mon. 26.07.21 - Thu. 29.07.21 (Mon., Tue., Wed., Thu.) 08:00 - 18:00 MZH 1470
Ronald Stöver
03-M-SEM-16(Pro)Seminar Homologische Algebra

Seminar (Teaching)
ECTS: 6 (5)

Dates:
weekly (starts in week: 1) Wed. 08:00 - 10:00 (Pro)Seminar online

Termine nach Absprache

Prof. Dr. Dmitry Feichtner-Kozlov
03-M-SEM-20(Pro)Seminar Einführung in Fluiddynamik
(Pro)Seminar Introduction to fluid dynamics

Seminar (Teaching)
ECTS: 6 (5)

Dates:
weekly (starts in week: 1) Wed. 16:00 - 18:00 (Pro)Seminar online
Prof. Dr. Jens Rademacher
03-M-SEM-23(Pro)Seminar Stochastisch-Statistische Abhängigkeiten

Seminar (Teaching)
ECTS: 6 (5)

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 (Pro)Seminar online
Prof. Dr. Thorsten-Ingo Dickhaus

Master: Wahlpflichtveranstaltungen

Vertiefungsrichtung Algebra

Course numberTitle of eventLecturer
03-M-WP-54Convex Geometry: Brunn-Minkowski theory and beyond

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 14:00 - 16:00 Vorlesung online
weekly (starts in week: 1) Wed. 12:00 - 14:00 Übung online
weekly (starts in week: 1) Fri. 10:00 - 12:00 Vorlesung online
Eugenia Saorin Gomez
03-ME-602.99a (03-IMAT-APX)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 Kurs online
weekly (starts in week: 1) Thu. 10:00 - 12:00 Kurs online

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, AI, VMC
Studiengänge: M-M-Ana-Num

Prof. Dr. Nicole Megow
Dr. Franziska Eberle

Vertiefungsrichtung Analysis

Course numberTitle of eventLecturer
03-M-WP-24Ergodentheorie

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Tue. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Tue. 12:00 - 14:00 Übung online
Prof. Dr. Anke Dorothea Pohl
03-M-WP-52Introduction to the theory of partial differential equations (in English)
Einführung in die Theorie partieller Differentialgleichungen

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung online
weekly (starts in week: 1) Thu. 12:00 - 14:00 Übung online
N. N.

Vertiefungsrichtung Numerik

Course numberTitle of eventLecturer
03-M-WP-41High-Performance Visualisierung
High-Performance Visualization
Interaktive Exploration zur Analyse von extrem großen wissenschaftlichen Daten

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Thu. 14:00 - 15:30 Vorlesung online

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.

Prof. Dr. Andreas Gerndt
03-M-WP-49Digitale optimale Steuerung und Regelung

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Tue. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Tue. 14:00 - 16:00 Übung online
Prof. Dr. Christof Büskens
03-M-WP-50Finite Elemente Methoden - ausgewählte Themen

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 14:00 - 16:00 Vorlesung online
weekly (starts in week: 1) Wed. 10:00 - 12:00 Übung online
weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung online
Prof. Dr. Andreas Rademacher
Alfred Schmidt
03-M-WP-51Mathematische Grundlagen des maschinellen Lernens

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 14:00 - 16:00 Vorlesung online
weekly (starts in week: 1) Wed. 12:00 - 14:00 Vorlesung online
weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung online
Peter Maaß
Dr. Matthias Beckmann
03-M-WP-53Mathematik des Quantencomputing

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 online Fragestunde

wöchentliche Vorlesungsinhalte als Skript und Video
wöchentliche Übung online nach Vereinbarung

Matthias Knauer
03-ME-602.99a (03-IMAT-APX)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 Kurs online
weekly (starts in week: 1) Thu. 10:00 - 12:00 Kurs online

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, AI, VMC
Studiengänge: M-M-Ana-Num

Prof. Dr. Nicole Megow
Dr. Franziska Eberle

Vertiefungsrichtung Stochastik & Statistik

Course numberTitle of eventLecturer
03-M-WP-39Statistik 2 (Lineare Modelle)
Statistics 2

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 Vorlesung online
weekly (starts in week: 1) Thu. 08:00 - 10:00 Vorlesung online
weekly (starts in week: 1) Fri. 09:00 - 11:00 Übung online
Prof. Dr. Werner Brannath

Master: Seminare

Vertiefungsrichtung Algebra

Course numberTitle of eventLecturer
03-M-SEM-16(Pro)Seminar Homologische Algebra

Seminar (Teaching)
ECTS: 6 (5)

Dates:
weekly (starts in week: 1) Wed. 08:00 - 10:00 (Pro)Seminar online

Termine nach Absprache

Prof. Dr. Dmitry Feichtner-Kozlov
03-M-SEM-24Combinatorial Optimization and Machine Learning (in English)

Seminar (Teaching)
ECTS: 6

Informatik Master Profil: SQ, KIKR
Erster Termin 13.April 2021 um 12:15h.
Angebot aus dem Mathe-SG, auch in Informatik als IMVT wählbar.

Prof. Dr. Nicole Megow

Vertiefungsrichtung Analysis

Course numberTitle of eventLecturer
03-M-SEM-20(Pro)Seminar Einführung in Fluiddynamik
(Pro)Seminar Introduction to fluid dynamics

Seminar (Teaching)
ECTS: 6 (5)

Dates:
weekly (starts in week: 1) Wed. 16:00 - 18:00 (Pro)Seminar online
Prof. Dr. Jens Rademacher
03-M-SEM-25Moderne Verfahren der Bildgebung und Bildverarbeitung
Modern methods in imaging and image processing

Seminar (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 14:00 - 16:00 Seminar online
N. N.

Vertiefungsrichtung Numerik

Course numberTitle of eventLecturer
03-M-SEM-7Seminar zur Numerik partieller Differentialgleichungen
Numerical Methods for Partial Differential Equations

Seminar (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 16:00 - 18:00 Seminar online


Alfred Schmidt
03-M-SEM-21Inverse Probleme

Seminar (Teaching)
ECTS: 6

Additional dates:
Tue. 03.08.21 - Thu. 05.08.21 (Tue., Wed., Thu.) 10:00 - 16:00 MZH 1470

Das Seminar findet nicht statt.

Tobias Kluth
03-M-SEM-22Anwendungen von Optimierung in Energie und Umwelt

Seminar (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 14:00 - 16:00 Seminar online
Matthias Knauer
Malin Lachmann
03-M-SEM-24Combinatorial Optimization and Machine Learning (in English)

Seminar (Teaching)
ECTS: 6

Informatik Master Profil: SQ, KIKR
Erster Termin 13.April 2021 um 12:15h.
Angebot aus dem Mathe-SG, auch in Informatik als IMVT wählbar.

Prof. Dr. Nicole Megow
03-M-SEM-25Moderne Verfahren der Bildgebung und Bildverarbeitung
Modern methods in imaging and image processing

Seminar (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 14:00 - 16:00 Seminar online
N. N.
03-M-SEM-26Diskrete Optimierung
Discrete Optimization

Seminar (Teaching)
ECTS: 6

Additional dates:
Mon. 21.06.21 - Tue. 22.06.21 (Mon., Tue.) 12:00 - 18:00

Erstes Treffen und Vorbesprechung: Do, 15.04.2021, 16:15 Uhr (online).

Prof. Dr. Daniel Schmand

Vertiefungsrichtung Stochastik & Statistik

Course numberTitle of eventLecturer
03-M-SEM-23(Pro)Seminar Stochastisch-Statistische Abhängigkeiten

Seminar (Teaching)
ECTS: 6 (5)

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 (Pro)Seminar online
Prof. Dr. Thorsten-Ingo Dickhaus

Master: Reading Courses

Course numberTitle of eventLecturer
03-M-RC-1Reading Course zur Algebra

Seminar (Teaching)
ECTS: 9

Termin nach Vereinbarung (2 SWS).

Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-2Reading Course zur Analysis

Seminar (Teaching)
ECTS: 9

Termin nach Vereinbarung (2 SWS).

Prof. Dr. Jens Rademacher
03-M-RC-3Reading Course zur Numerik

Seminar (Teaching)
ECTS: 9

Termin nach Vereinbarung (2 SWS).
Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen

Matthias Knauer
Prof. Dr. Christof Büskens
03-M-RC-4Reading Course zur Stochastik/Statistik

Seminar (Teaching)
ECTS: 9

Termin nach Vereinbarung (2 SWS).

Prof. Dr. Werner Brannath
Prof. Dr. Thorsten-Ingo Dickhaus

Oberseminare

Course numberTitle of eventLecturer
03-M-OS-2Oberseminar Angewandte Analysis

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Tue. 14:00 - 16:00 Sitzung
Prof. Dr. Jens Rademacher
03-M-OS-3Oberseminar Angewandte Statistik

Seminar (Teaching)

Homepage zur Veranstaltung: http://anstat.uni-bremen.de/node/6

Prof. Dr. Werner Brannath
03-M-OS-4Oberseminar Dynamische Systeme und Geometrie
Seminar: Dynamical Systems and Geometry

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Mon. 15:00 - 17:00 Seminar online
weekly (starts in week: 1) Thu. 14:00 - 16:00 Seminar online

Weitere Infos auf der Seminar-Homepage

Prof. Dr. Marc Keßeböhmer
Prof. Dr. Anke Dorothea Pohl
03-M-OS-7Oberseminar Mathematical Parameter Identification (RTG-Seminar) (in English)
Research Seminar - Mathematical Parameter Identification

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 virtuell


Tobias Kluth
Daniel Otero Baguer
03-M-OS-9Oberseminar Optimierung & Optimale Steuerung
Seminar Optimisation and Optimal Control

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Thu. 08:00 - 10:00 Seminar online

Termin nach Vereinbarung.
Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen

Prof. Dr. Christof Büskens
03-M-OS-11Oberseminar Algebra und Topologie

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Wed. 08:00 - 10:00 Sitzung
Prof. Dr. Dmitry Feichtner-Kozlov
03-M-OS-13Oberseminar Deep Learning

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Mon. 16:00 - 18:00 Seminar online
Peter Maaß

Kolloquien

Course numberTitle of eventLecturer
03-M-KOL-1Mathematisches Kolloquium

Colloquium (Teaching)

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 Seminar
Prof. Dr. Christine Knipping
Prof. Dr. Jens Rademacher

General Studies

Course numberTitle of eventLecturer
03-M-GS-5Statistische Beratung
Statistical Consulting

Seminar (Teaching)
ECTS: 2

Dates:
weekly (starts in week: 1) Fri. 10:00 - 12:00 Seminar online
Dr. Martin Scharpenberg
03-M-GS-7Einführung in R (in English)
Introduction in R

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Wed. 09:00 - 11:00 Vorlesung online
Prof. Dr. Werner Brannath
03-M-GS-8Methods of Advanced Data Science in R (in English)
a course on data science methods with practicals and projects

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 Vorlesung

Additional dates:
Wed. 16.06.21 17:15 - 19:00 Zoom

We organize the course online via Zoom.
The course provides an introductory level of programming skills in R.
In continuation to last semesters data science case studies, methods for clustering and classification will be in main focus, including Machine Learning. Students are welcome to present own ideas, data and projects. I expect a project report or a method talk with demo on own data.
Practicals in "R" will work also on synthetic data to illustrate methods features, limitations and differences.

Prof. Dr. Stephan Frickenhaus
03-M-WP-41High-Performance Visualisierung
High-Performance Visualization
Interaktive Exploration zur Analyse von extrem großen wissenschaftlichen Daten

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Thu. 14:00 - 15:30 Vorlesung online

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.

Prof. Dr. Andreas Gerndt
SZHB 0636ONLINE: English for Mathematicians and Industrial Mathematicians (B2.1) (in English)
Eingangsniveau: B1.2

Kurs (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 16:15 - 17:45 (2 Teaching hours per week)


Valerie Scholes