Course Catalog

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Study Program WiSe 2024/2025

Zertifikatsstudium Grundlagen Digitaler Medien in pädagogischen Kontexten

Digitale Medien in Lernumgebungen

Course numberTitle of eventLecturer
03-IBGA-FI-RDLRobot Design Lab (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Wed. 10:00 - 12:00 DFKI RH1 B0.10 Q & A
weekly (starts in week: 1) Thu. 10:00 - 12:00 DFKI RH1 B0.10 Übung
weekly (starts in week: 1) Thu. 14:00 - 16:00 DFKI RH1 B0.10 Übung

Die Vorlesung findet online asynchron statt.
Die Q+A und Präsenz-Übung finden im Raum RH1 B0.10 des DFKI statt.
https://lvb.informatik.uni-bremen.de/ibg/03-ibga-fi-rdl.pdf

Frank Kirchner
M. Sc. Mihaela Popescu
M. Sc Jonas Haack
03-IMAA-ITMDSIT-Management und Data Science (in English)
IT Management and Data Science

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Wed. 14:00 - 18:00 MZH 1090

Profil: SQ, DMI
Schwerpunkt: IMA-SQ, IMA-AI, IMVP-DMI
https://lvb.informatik.uni-bremen.de/imaa/03-imaa-itmds.pdf

Prof. Dr. Andreas Breiter
Hannah-Marie Büttner
03-IMAA-MADMobile App Development (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 10:00 - 14:00 MZH 1380/1400 Vorlesung

Profil: DMI
Schwerpunkt: IMA- DMI
https://lvb.informatik.uni-bremen.de/imva/03-imva-mad.pdf
Die Veranstaltung richtet sich an Student*innen 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
Marcus-Sebastian Schröder
03-IMAA-STMWSearch Technology for Media & Web (in English)
Search Technology for Media + Web

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 1470 Vorlesung
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 6200 Übung

Profil: KIKR, DMI
Schwerpunkt: IMVA-DMI, IMVA-AI
https://lvb.informatik.uni-bremen.de/imaa/03-imaa-stmw.pdf

Prof. Dr. Sebastian Maneth
M. Sc Yvonne Jenniges
03-IMAP-VRSIMVirtual Reality and Physically-Based Simulation (in English)
Virtuelle Realität und physikalisch-basierte Simulation

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 2) Wed. 10:00 - 12:00 MZH 5600 Vorlesung
weekly (starts in week: 2) Thu. 10:00 - 12:00 MZH 1100 Übung

Profil: KIKR, DMI
Schwerpunkt: IMAP-DMI, IMAP-VMC
https://lvb.informatik.uni-bremen.de/imap/03-imap-vrsim.pdf
English or German.
Over the past two decades, VR has established itself as an important tool in several industries, such as manufacturing (e.g., automotive, airspace, ship building), architecture, and pharmaceutical industries. During the past few years, we have been witnessing the second "wave" of VR, this time in the consumer, in particular, in the entertainment markets.

Some of the topics to be covered (tentatively):
• Introduction, basic notions of VR, several example applications
• VR technologies: displays, tracking, input devices, scene graphs, game engines
• The human visual system and Stereo rendering
• Techniques for real-time rendering
• Fundamental immersive interaction techniques: fundamentals and principles, 3D navigation, user models, 3D selection, redirected walking, system control
• Complex immersive interaction techniques: world-in-miniature, action-at-a-distance, magic lens, etc.
• Particle systems
• Spring-mass systems
• Haptics and force feedback
• Collision detection
• Acoustic rendering
The assignments will be mostly practical ones, based on the cross-platform game engine Unreal. Participants will start developing with "visual programming", and later use C++ to solve the assignments.
You are encouraged to work on assignments in small teams.
https://cgvr.cs.uni-bremen.de/teaching/

Prof. Dr. Gabriel Zachmann
03-IMVP-HRIHuman Robot Interaction (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 14:00 - 16:00 DFKI RH1 A1.03 Vorlesung
weekly (starts in week: 1) Wed. 14:00 - 16:00 DFKI RH1 A1.03 Übung

Profil: KIKR
Schwerpunkt: IMVP-AI
https://lvb.informatik.uni-bremen.de/imvp/03-imvp-hcir.pdf
Die Veranstaltung findet im DFKI statt.

Frank Kirchner
Dr. Lisa Gutzeit
03-IMVP-MLARMachine Learning for autonomous Robots (in English)
Machine Learning for autonomous Robots

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 DFKI RH1 B0.10 Vorlesung
weekly (starts in week: 1) Thu. 10:00 - 12:00 Übung

Profil: KIKR
Schwerpunkt:IMVP- AI
https://lvb.informatik.uni-bremen.de/imvp/03-imvp-mlar.pdf
Die Veranstaltung findet in den Räumen des DFKI statt.

Frank Kirchner
Melvin Laux
03-M-GS-14Starting Data Science in R (in English)
a course on R programming and data science methods with practicals and projects

Practical training (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2490 (Seminarraum) Lecture plus Exercise

The course provides an introductory level of programming skills in R.
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
08-M27-2-CBA-1Datenanalyse und Visualisierung (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 GW2 B2760 (CIP-FB 8) (2 Teaching hours per week)

The course "Data Analysis and Visualization" aims to accompany beginners in data science on their very first steps towards using a programming language as valuable tool in scientific data analysis. The course will work with the programming language "Python" (version 3.7, 64-bit) and the open source web application "Jupyter Notebook" (part of Anaconda application). At the end of the course the students should be able to:

  • work with the web application "Jupyter Notebook", using the programming language "Python"
  • find, import, clean, manipulate and process data, using Python
  • do basic statistics and analysis on data sets
  • work with time series in data sets
  • visualize and present data in scientific manner

Amna Bibi
08-M27-2-CBA-2Geographische Informationssysteme (GIS) (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 GW2 B2760 (CIP-FB 8) (2 Teaching hours per week)
Dr. Karim Norouzi Moghanjoghi
Dr. Raghu Ram Gudipati
09-71-A.3-1Communication, Media and Ethics in Digital Society (in English)

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 GW2 B1216 (2 Teaching hours per week)


Dr. Dominic Ford