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 [ en ] ( REMOTE ) Implementation of Optimization Techniques - Part 2 (MA)
- 040491 KU [ en ] ( REMOTE ) Implementation of Optimization Techniques - Part 1 (MA)
- 040626 KU Game Theory (MA)
- 040723 UK ( MIXED ) Financial and Insurance Mathematics (MA)
- 040771 UK ( ON-SITE ) Case Studies in Statistics (MA)
- 040772 UK [ en ] Complex Statistical Methods (MA)
- 052100 VU [ en ] Algorithms and Data Structures 2
- 052215 VU [ en ] Visualisation and Visual Data Analysis
- 052312 VO [ en ] Computational Optimisation
- 052314 UE [ en ] Computational Optimisation
- 052315 VU [ en ] Natural Language Processing
- 052514 VU [ en ] Business Process Management
- 052800 VU [ en ] Parallel Computing
Last modified: We 24.01.2024 13:52