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 ] ( REMOTE ) Implementation of Optimization Techniques - Part 2 (MA)

Kinast, Fr 15:00-16:30 (5×)
040491 KU 4 ECTS [ en ] ( REMOTE ) Implementation of Optimization Techniques - Part 1 (MA)

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

Gutjahr, Fr 09:45-11:15 (13×)
040723 UK 3 ECTS ( MIXED ) Financial and Insurance Mathematics (MA)

Cuchiero, Mo 02.10. 09:45-11:15, Th 13:15-14:45 (11×), Tu 30.01. 11:30-13:00
040771 UK 4 ECTS ( ON-SITE ) Case Studies in Statistics (MA)

Wassermann, We 18:30-20:00 (8×), We 18:30-20:30 (4×)
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

Hanauer, Mo 09:45-11:15 (15×), Mo 13.11. 15:00-16:30, Mo 15.01. 16:45-18:15
052215 VU 6 ECTS [ en ] Visualisation and Visual Data Analysis

Möller, Tu 13:15-14:45 (15×), Th 13:15-14:45 (11×), Th 25.01. 13:15-18:15, Tu 30.01. 11:30-13:00
052312 VO 3 ECTS [ en ] Computational Optimisation

Gutjahr, Mo 18:30-20:45 (15×)
052314 UE 3 ECTS [ en ] Computational Optimisation

Rath, Th 18:30-20:00 (12×)
052315 VU 6 ECTS [ en ] Natural Language Processing

Winiwarter, Mo 11:30-14:45 (14×)
052514 VU 3 ECTS [ en ] Business Process Management

Utz, Th 08:00-09:30 (12×)
052800 VU 6 ECTS [ en ] Parallel Computing

Bajrovic, Tu 15:00-16:30 (15×), We 16:45-18:15 (14×)

Last modified: We 24.01.2024 13:52