Veranstaltungsverzeichnis

Lehrveranstaltungen SoSe 2022

Digitale Medien, M.Sc.

Veranstaltungen anzeigen: alle | in englischer Sprache | für ältere Erwachsene | mit Nachhaltigkeitszielen

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.

M-MI (Media Informatics)

VAKTitel der VeranstaltungDozentIn
03-IMAA-CTHCICurrent Topics in Human Computer Interaction (in englischer Sprache)

Kurs
ECTS: 6

Termine:
wöchentlich Mi 12:00 - 16:00 MZH 1470 Kurs Präsenz

Profil: DMI
Schwerpunkt: IMA-DMI, IMA-VMC

Prof. Dr. Tanja Döring
Dr. Susanne Putze
Dr. Dmitry Alexandrovsky
03-IMAA-EC (03-MB-804.03)Entertainment Computing (in englischer Sprache)

Vorlesung
ECTS: 6

Termine:
wöchentlich Di 12:00 - 16:00 GW2 B1820 Vorlesung und Übung Präsenz

Profil: DMI
Schwerpunkt: IMK-DMI, IMA-VMC

Prof. Dr. Rainer Malaka
Dr. Dmitry Alexandrovsky
03-IMAP-DIS (03-MB-703.02)Design of Information Systems (in englischer Sprache)

Vorlesung
ECTS: 6

Termine:
wöchentlich Mo 14:00 - 16:00 Vorlesung online
wöchentlich Do 10:00 - 12:00 Vorlesung online

Profil: SQ.
Schwerpunkt: DMI, SQ
Die Veranstaltung ist inhaltlich identisch mit "Entwurf von Informationssystemen" (keine Doppelanerkennung möglich).

Martin Gogolla
03-IMAP-WCOMP (03-MB-799.01)Wearable Computing (in englischer Sprache)

Vorlesung
ECTS: 6

Termine:
wöchentlich Mi 14:00 - 16:00 MZH 1090
wöchentlich Mi 16:00 - 18:00 MZH 1090

Profil: KIKR, DMI.
Schwerpunkt: DMI, VMC, AI

Dipl.-Inf. Alexej Wagner
03-IMVA-EI (03-ME-899.03)Embodied Interaction (in englischer Sprache)

Kurs
ECTS: 6

Termine:
wöchentlich Do 10:00 - 14:00 MZH 1450 Kurs Präsenz

Profil: DMI.
Schwerpunkt: DMI, VMC

Robert Porzel
Prof. Dr. Rainer Malaka
03-IMVA-MAD (03-ME-804.06)Mobile App Development (in englischer Sprache)

Vorlesung
ECTS: 6

Termine:
wöchentlich Mo 12:00 - 16:00 GW2 B1820 Vorlesung Präsenz

Profil: DMI
Schwerpunkt: DMI

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-IMVP-ECLEdge Computing Lab (in englischer Sprache)

Kurs
ECTS: 6

Termine:
wöchentlich Di 16:00 - 19:00 MZH 1450 Kurs Präsenz

Schwerpunkt: AI, DMI

Peter Fereed Haddawy
Prof. Dr. Anna Förster
Thomas Dieter Barkowsky
03-IMVP-MPAR (03-ME-708.05)Massively-Parallel Algorithms (in englischer Sprache)

Vorlesung
ECTS: 6

Termine:
wöchentlich Di 16:00 - 18:00 MZH 1090 MZH 1100 Vorlesung Präsenz
wöchentlich Do 08:00 - 10:00 MZH 1110 Übung Präsenz

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
06-B-500.11aProgramming Autonomous Agents (in englischer Sprache)

Blockveranstaltung
ECTS: 3

Einzeltermine:
Mo 05.09.22 - Di 06.09.22 (Mo, Di) 10:00 - 17:00 Online
Mo 19.09.22 - Di 20.09.22 (Mo, Di) 10:00 - 17:00 MZH 1460
Di 27.09.22 14:00 - 16:00 CART Rotunde - 0.67

This course is for students who have already attended a programming course and are familiar with basic programming concepts such as variables, conditionals, loops, arrays, and objects. In this course, we will extend and consolidate these programming skills.

The main topic of this course are 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. Furthermore, we might have a short look at evolutionary algorithms, which enable our programs to adapt over to time. The final of this course will be a small competition, in which our agents will compete against each other in a platform jumper.

We will program by 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 block course will take place on multiple days in September. The exact dates will be announced in the course of the summer semester.

The content of this course was previously part of the "Advanced Techniques for Creative Coding in Processing" course, which is now split into two parts.

This course is not available for computer science students but it is open to Digital Media students.

Dr. Tim Laue

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

VAKTitel der VeranstaltungDozentIn
03-IMS-APMSK (03-ME-711.09)Ausgewählte Probleme der multisensorischen Kognition (in englischer Sprache)
Selected Problems of Multisensory Cognition
DIE VERANSTALTUNG ENTFÄLLT

Seminar
ECTS: 3

Termine:
wöchentlich Do 12:00 - 14:00 CART Rotunde - 0.67 Seminar Präsenz

Profil: KIKR, DMI.
Die Veranstaltung findet in Englischer Sprache statt.

Christop W. Zetzsche-Schill
Kerstin Schill

M-MT (Media Theory)

Additional courses can be found at the HfK website (http://www.hfk-bremen.de/t/digitale-medien).
VAKTitel der VeranstaltungDozentIn
09-71-A.2-1Course 1: Mediatization (in englischer Sprache)

Seminar

Termine:
wöchentlich Mo 16:00 - 18:00 SH D1020 (2 SWS)


Prof. Dr. Stefanie Averbeck-Lietz
09-71-A.2-2Course 2: Datafied Society (in englischer Sprache)

Seminar

Termine:
wöchentlich Do 10:00 - 12:00 SFG 2040 SFG 1030 (2 SWS)


N. N.

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

All M-MI, M-MD, M-MT courses can be taken as M-MA-2
VAKTitel der VeranstaltungDozentIn
03-06-M-313Mathematics. Computer Science. Digital Media. Beginnings (in englischer Sprache)

Seminar
ECTS: 6

Termine:
wöchentlich Di 14:00 - 18:00 MZH 1110 Seminar
Frieder Nake
03-IMVA-ACSSApplied Computer Science in Sports (in englischer Sprache)

Kurs
ECTS: 6

Termine:
wöchentlich Mi 14:00 - 16:00 MZH 6200 Vorlesung Präsenz
wöchentlich Mi 16:00 - 18:00 MZH 6200 Übung Präsenz
wöchentlich Mi 16:00 - 18:00 MZH 1100 Übung Präsenz

Einzeltermine:
Mi 21.09.22 14:00 - 18:00 CART Rotunde - 0.67

Schwerpunkt: AI, DMI
This 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

M-MA-31 (Project Preparation)

VAKTitel der VeranstaltungDozentIn
03-IBVA-DS (03-BE-802.98a)Data Science (in englischer Sprache)
Applied Machine Learning

Kurs
ECTS: 6

Termine:
wöchentlich Mo 16:00 - 18:00 Online Kurs online

From medical decision support systems to automatic language translation, from sorting and prioritizing news on social networks to autonomous cars: Machine learning is woven into the fabric of daily life. Applying machine learning, data science aims to extract knowledge or insights from data.

The class will provide an introduction to data science and applied machine learning. For this, the programming language Python will be used (and taught). You will learn about the difference between supervised and unsupervised machine learning, and four machine learning tasks:
• Classification (e.g. k-NN, Decision Trees, Support Vector Machines)
• Regression (Linear Regression, Logistic Regression)
• Clustering (k-means)
• Dimensionality Reduction (PCA, t-SNE)
We will explore natural language processing for text mining and computer vision. Exploratory data analysis and evaluation, as an integral part of data science, will also be taught.

This class is taught remotely. Every week, the lecturer will upload new material to this website. To succeed in this course, you have to watch the videos, do the exercises and applications, and work on your own project. Remember that these videos are not full-fledged lectures, they are a starting point for your own learning. Use material like the coursebook to learn more about the topics as we progress in the course.

This is an online course, not a lecture that was filmed and put online. The course format was adapted to suit both the needs of the medium and the material.

We will meet regularly, but most of the input will be provided as videos. This allows you to rewatch videos, watch them at different speeds, and discuss the videos with each other.

Prof. Dr. Hendrik Heuer
Dr. Juliane Jarke
03-IMS-APMSK (03-ME-711.09)Ausgewählte Probleme der multisensorischen Kognition (in englischer Sprache)
Selected Problems of Multisensory Cognition
DIE VERANSTALTUNG ENTFÄLLT

Seminar
ECTS: 3

Termine:
wöchentlich Do 12:00 - 14:00 CART Rotunde - 0.67 Seminar Präsenz

Profil: KIKR, DMI.
Die Veranstaltung findet in Englischer Sprache statt.

Christop W. Zetzsche-Schill
Kerstin Schill

2nd academic year

Graduate Seminars

VAKTitel der VeranstaltungDozentIn
03-IGRAD-CoSy (03-05-H-711.91)Graduiertenseminar Cognitive Systems (in englischer Sprache)

Seminar

Termine:
zweiwöchentlich (Startwoche: 16) Mi 14:00 - 17:00 Graduiertenseminar
Thomas Dieter Barkowsky

General Studies

Concerning the language, usually you can see by the title whether a course is in English or German.
VAKTitel der VeranstaltungDozentIn
META-2022-ALL-IF25. internationale Informatica Feminale (in englischer Sprache)
Informatica Feminale - Summer University for Women in Computing
Sommeruniversität für Frauen in der Informatik /Summer University for Women in Computing

Blockveranstaltung
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 2022 sowie im Wintersemester 2022/23 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 2022 as well as in winter semester 2022/23. Further information, schedules and registration only on the website https://www.informatica-feminale.de.

Veronika Oechtering
Henrike Illig
Isabel Marie Matthias