Sample course plan A Master Computer Science in Engineering (IIWMS) Dual study program
Specialisation I. Computer Science, Specialisation II. Engineering Science, Specialisation III. Mathematics, Specialisation IV. Subject Specific Focus
| Legend: |
| Core Qualification Compulsory | Specialisation Compulsory | Focus Compulsory | Thesis Compulsory |
| Core Qualification Elective Compulsory | Specialisation Elective Compulsory | Focus Elective Compulsory | Interdisciplinary complement |
| LP | | | | |
| 1 | | | | |
Practical module 1 (dual study program, Master's degree) | | Practical term 1 | | 0 |
| | | | |
Practical module 2 (dual study program, Master's degree) | | Practical term 2 | | 0 |
| | | | |
Research Project | | Research Project IIW | PK | 8 |
| | | | |
Master thesis (dual study program) | | | |
|
| 2 |
| 3 |
| 4 |
| 5 |
| 6 |
| 7 |
| 8 |
| 9 |
| 10 |
| 11 | | | | |
Software Verification | | Software Verification | VL | 2 | | Software Verification | GÜ | 2 |
| | | | |
Algorithmic Game Theory | | Algorithmic game theory | VL | 2 | | Algorithmic game theory | HÜ | 2 |
|
| 12 |
| 13 | | | | |
Practical module 3 (dual study program, Master's degree) | | Practical term 3 | | 0 |
|
| 14 |
| 15 |
| 16 |
| 17 | | | | |
Mathematical Image Processing | | Mathematical Image Processing | VL | 3 | | Mathematical Image Processing | GÜ | 1 |
| | | | |
Advanced Internet Computing | | Advanced Internet Computing | VL | 2 | | Advanced Internet Computing | PBL | 2 |
|
| 18 |
| 19 |
| 20 |
| 21 |
| 22 |
| 23 | | | | | |
Information Theory and Coding | | Information Theory and Coding | VL | 3 | | Information Theory and Coding | HÜ | 2 |
| | | | |
Advanced Machine Learning | | Advanced Machine Learning | VL | 2 | | Advanced Machine Learning | GÜ | 2 |
|
| 24 | |
| 25 | |
| 26 | |
| 27 | |
| 28 | |
| 29 | | | | | |
Machine Learning in Electrical Engineering and Information Technology | | General Introduction Machine Learning | VL | 1 | | Machine Learning in Wireless Communications | VL | 1 | | Machine Learning in Electromagnetic Compatibility Engineering | VL | 1 | | Machine Learning in High-Frequency Technology and Radar | VL | 1 | | Machine Learning Applications in Electric Power Systems | VL | 1 |
| |
| 30 | | |
| 31 | | | |
| 32 | | | |
| 33 | | | |
| 34 | | | |
| Business & Management (from catalogue) - 6LP |
| Linking theory and practice (dual study program, Master's degree) (from catalogue) - 6LP |
| Technical Complementary Course II for Computational Science and Engineering - 12LP |
| Technical Complementary Course I for Computational Science and Engineering - 12LP |
The choice of courses from the catalogue is flexible (depends on the semestral work load), provided the necessary number of required credits is reached.