Course Catalog

Study Program WiSe 2024/2025

Management Information Systems, M.Sc.

Modulbereich Management Information Systems (48 CP)

Modul MIS-1 Information and Organisation (6 CP)

Course numberTitle of eventLecturer
07-M303-1-01-01Information and Organisation (in English)

Seminar (Teaching)
ECTS: 6

Dates:
fortnightly (starts in week: 1) Tue. 10:00 - 14:00 WiWi2 F3290
Dr. Julia Maria Kensbock

Modul MIS-2 AI and Computational Management Information Systems (6 CP)

Course numberTitle of eventLecturer
07-M303-1-02-01AI and Computational Management Information Systems (in English)

Seminar (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 2) Wed. 08:00 - 12:00 GW2 B1216 MZH Raum 8090

In the course “AI and Computational Management Information Systems”, students learn how artificial intelligence (AI) and management information systems (MIS) can be used in companies and public institutions. The focus is on practical applications to support data-driven decisions and optimize business processes. Theoretical concepts are taught on essential principles in combination with case studies and practical exercises. Particular attention is paid to ethical issues and data protection in order to teach the responsible use of AI. The aim is to equip students with the necessary tools to implement AI-based systems efficiently and securely.

Prof. Dr. Dr. Björn Niehaves
Dr. Gerhard Klassen
Dr. Marc Wyszynski
Sebastian Weber
Robin Fritzsche
Jan Westermann

Modul MIS-PM Project (24 CP)

There are three options for gaining 24 CP for the module MIS-PM:
• Option A: Students take one 24 CP project (usually only offered by Faculty 3).
• Option B: Students take two 12 CP projects (usually only offered by Faculty 7).
• Option C: Students take one 12 CP project and two project-related 6 CP courses (typically seminars from the relevant subject area; usually only offered by Faculty 7). Please find the 6 CP courses in the Course Catalog for the Master Business Studies at Faculty 7.
Course numberTitle of eventLecturer
03-IMPJ-SMARTBProjekt SmartBremen (in English)
(WiSe 24/25)

Projektplenum (Teaching)
ECTS: 30

Dates:
weekly (starts in week: 1) Fri. 12:00 - 14:00 IW3 0390 Projekt-Plenum

Schwerpunkt: DMI

Prof. Dr. Dr. Björn Niehaves
Dr. Gerhard Klassen
Dulce Maria Villegas Nunez
Robin Fritzsche
03-IMPJ-WELFCProjekt WelfareComp (in English)
(WiSe 24/25)

Projektplenum (Teaching)
ECTS: 30

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1470 Projekt-Plenum
weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 5600 Projekt-Plenum
Prof. Dr. Andreas Breiter
Paola Lopez
07-M37-1-05-01Teaching Project in Current Issues in Entrepreneurship Research

Projektplenum (Teaching)
ECTS: 12

Dates:
weekly (starts in week: 1) Thu. 14:00 - 18:00 WiWi1 A3290


Dr. Thomas Baron
07-M37-2-05-01Teaching Project Marketing and Brand Management

Projektplenum (Teaching)
ECTS: 12

Dates:
weekly (starts in week: 1) Tue. 14:00 - 16:00 WiWi1 A1100

Additional dates:
Tue. 28.01.25 14:00 - 18:00 GW1-HS H0070
Prof. Dr. Christoph Burmann
07-M37-2-05-02Teaching Project in Challenges in Digital Marketing Management

Projektplenum (Teaching)
ECTS: 12

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 WiWi1 A1020


Lars Kröger
07-M37-2-05-03Teaching Project Social-Media-Marketing

Projektplenum (Teaching)
ECTS: 12

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 WiWi2 F4090


Prof. Dr. Kristina Klein
07-M37-3-05-01Teaching Project International Management (in English)

Projektplenum (Teaching)
ECTS: 12

Dates:
fortnightly (starts in week: 2) Thu. 14:00 - 18:00 WiWi1 A1020

Additional dates:
Thu. 17.10.24 14:00 - 18:00 WiWi1 A1020
Thu. 14.11.24 14:00 - 18:00 WiWi1 A1020

Bitte beachten Sie die Veranstaltungszeiten im Ablaufplan.

Prof. Dr. Peter Michael Anton Bican
07-M37-4-05-01Teaching Project Finance III - Machine Learning in Finance

Projektplenum (Teaching)
ECTS: 12

Dates:
weekly (starts in week: 1) Fri. 08:00 - 10:00 WiWi1 A1170 - PC-Pool


Prof. Dr. Thorsten Poddig

Modulbereich Management Digital Innovation (18 CP)

Modul MIS-MDI-1 Management and Organisation (6 CP)

For the module MIS-MDI-1, students pick one 6-CP-course from the list below.
Course numberTitle of eventLecturer
07-M37-1-01-01Entrepreneurship and SME Management I

Seminar (Teaching)
ECTS: 6

Dates:
fortnightly (starts in week: 1) Wed. 10:00 - 14:00 WiWi1 A1070 NW2 B3118


Prof. Dr. Jörg-Rainer Freiling
07-M37-2-01-02Theoretical and Strategic Foundations of Innovative Marketing and Brand Management II

Seminar (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 WiWi1 A1100
Prof. Dr. Christoph Burmann
07-M37-3-01-01International Business Strategy (in English)

Seminar (Teaching)
ECTS: 6

Dates:
fortnightly (starts in week: 2) Wed. 10:00 - 14:00 WiWi1 A1070

Additional dates:
Fri. 18.10.24 10:00 - 14:00 WiWi1 A1070
Wed. 13.11.24 10:00 - 14:00 GW1 B0080

Bitte beachten Sie die Veranstaltungszeiten im Ablaufplan.

Prof. Dr. Peter Michael Anton Bican
07-M303-1-06-01Management digital tranformation (in English)

Seminar (Teaching)
ECTS: 6

Dates:
fortnightly (starts in week: 2) Tue. 10:00 - 14:00 WiWi2 F3290
Dr. Julia Maria Kensbock
07-M303-1-06-02New Forms of Development - Management der digitalen Transformation (in English)

Seminar (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 WiWi2 F4090
Dr. Phil Hennel

Modul MIS-MDI-2 Managing Technological Change (6 CP)

Course numberTitle of eventLecturer
07-M303-1-07-01Managing Technological Change (in English)

Seminar (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Thu. 16:00 - 18:00 WiWi2 F3290

Additional dates:
Mon. 13.01.25 14:00 - 15:30 Online
Prof. Dr. Benjamin Müller, MBA

Modulbereich Computer Science (18 CP)

Modul MIS-INF-1a IT-Management and Data Science (6 CP)

Course numberTitle of eventLecturer
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

Modul MIS-INF-2 Computer Science for Management Information Systems (6 CP)

Course numberTitle of eventLecturer
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-IMAP-SHSQSysteme hoher Sicherheit und Qualität
Systems Assuring High Safety, Security and Quality

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1100 Vorlesung
weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 5600 Übung

Profil SQ
Schwerpunkt: IMK-SQ , IMVP-VMC
https://lvb.informatik.uni-bremen.de/imap/03-imap-shsq.pdf

Christoph Lüth
Dieter Hutter
Mario Gleirscher

Modul MIS-INF-3 Special Topics in Computer Science for Management Information Systems (6 CP)

Course numberTitle of eventLecturer
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-AMAIAdvanced Methods of AI (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 6200 Vorlesung
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1100 Übung


Michael Beetz
Daniel Beßler
03-IMAP-AMLAdvanced Machine Learning (in English)

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1090 Übung
weekly (starts in week: 1) Mon. 16:00 - 18:00 MZH 1100 Übung
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1470 Übung
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1090 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-ASEAutomatische Spracherkennung
Automatic Speech Recognition

Lecture (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1100 Übung
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1100 Übung

Additional dates:
Tue. 19.11.24 18:00 - 20:00 MZH 1100

Profil KIKR
Schwerpunkt: IMA-AI
Modultyp C (6 CP) im Studiengang Language Sciences M.A.
https://lvb.informatik.uni-bremen.de/imap/03-imap-ase.pdf

Die Vorlesungsinhalte werden über Videos und Folien asynchron bereitgestellt ("flipped classroom"-Konzept). Darüber hinaus gibt es einen Präsenz-Termin am Dienstag. Dieser Präsenz-Termin ist als "Interaktives Repititorium" gestaltet und wird nicht aufgezeichnet. Donnerstags finden im Zwei-Wochen-Rhythmus Übungen statt.

Der Kurs "Automatische Spracherkennung" bietet eine Einführung in die automatische Spracherkennung. In diesem Kurs werden die Sprachverarbeitung beim Menschen, Signalverarbeitung, statistische Modellierung von Sprache sowie die wesentlichen praktischen Ansätze und Methoden für den Einsatz automatischer Spracherkennung behandelt.

Tanja Schultz
Ayimnisagul Ablimit
03-IMAP-TATestautomatisierung
Test Automation

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 5500 Kurs
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 1110 Kurs


Wen-Ling Huang
03-IMVA-GPMLRGood Practice in Machine Learning Research

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 1470 Kurs


Felix Putze