D. Compulsory Module - Data Science Electives (12 ECTS)

The recommended prerequisite for attending the courses below is the completed module A "Foundations of Business Analytics". This will be checked after the registration period by the lecturer or the respective SSC. Should the module not be completet yet, you may be un-registered from the chosen course(s).

040064 KU 4 ECTS [ en ] ( MIXED ) Implementation of Optimization Techniques - Part 2 (MA)

Kinast, Fr 15:00-16:30 (7×)
040491 KU 4 ECTS [ en ] ( REMOTE ) Implementation of Optimization Techniques - Part 1 (MA)

Kinast, Fr 15:00-16:30 (7×)
040626 KU 4 ECTS ( REMOTE ) Game Theory (MA)

Gutjahr, Fr 09:45-11:15 (14×)
040723 UK 3 ECTS ( MIXED ) Financial and Insurance Mathematics (MA)

Cuchiero, Th 13:15-14:45 (12×), Fr 15.11. 11:30-13:00
040771 UK 4 ECTS Case Studies in Statistics (MA)

Wassermann, We 16:45-18:15 (15×)
040772 UK 4 ECTS [ en ] Complex Statistical Methods (MA)

Krivobokova, Th 16:45-18:15 (12×)
052100 VU 3 ECTS [ en ] Algorithms and Data Structures 2

Goranci, Mo 09:45-11:15 (14×)
052215 VU 6 ECTS [ en ] Visualisation and Visual Data Analysis

Möller, Tu 13:15-14:45 (12×), Th 13:15-14:45 (12×), Tu 21.01. 11:30-14:45, Th 23.01. 11:30-14:45
052315 VU 6 ECTS [ en ] Natural Language Processing

Winiwarter, Mo 11:30-14:45 (12×)
052412 VU 6 ECTS [ en ] Business Intelligence II

van der Aa, Th 09:45-13:00 (14×), Th 11:30-13:00 (2×), Th 20.02. 13:15-14:45
052514 VU 3 ECTS [ en ] Business Process Management

van der Aa, Th 08:00-09:30 (15×), Th 20.02. 13:15-14:45
052800 VU 6 ECTS [ en ] Parallel Computing

Bajrovic, Tu 15:00-16:30 (16×), We 16:45-18:15 (15×), We 05.02. 16:45-20:00

Last modified: Fr 14.02.2025 11:31