Sample course plan M Master Computer Science (CSMS)
Specialisation I. Computer and Software Engineering, Specialisation II: Intelligence Engineering, 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 | | | | |
Security of Cyber-Physical Systems | | Security of Cyber-Physical Systems | VL | 2 | | Security of Cyber-Physical Systems | GÜ | 2 |
| | | | |
Compilers for Embedded Systems | | Compilers for Embedded Systems | VL | 3 | | Compilers for Embedded Systems | PBL | 1 |
| | | | |
Research Project Computer Science | | Research Project Computer Science | PK | 8 |
| |
| 2 |
| 3 |
| 4 |
| 5 |
| 6 |
| 7 | | | | |
Intelligent Autonomous Agents and Cognitive Robotics | | Intelligent Autonomous Agents and Cognitive Robotics | VL | 2 | | Intelligent Autonomous Agents and Cognitive Robotics | GÜ | 2 |
| | | | |
Model Checking - Proof Engines and Algorithms | | Model Checking - Proof Engines and Algorithms | VL | 2 | | Model Checking - Proof Engines and Algorithms | GÜ | 2 |
|
| 8 |
| 9 |
| 10 |
| 11 |
| 12 |
| 13 | | | | |
Hierarchical Algorithms | | Hierarchical Algorithms | VL | 2 | | Hierarchical Algorithms | GÜ | 2 |
| | | | |
Machine Learning and Data Mining | | Machine Learning and Data Mining | VL | 2 | | Machine Learning and Data Mining | GÜ | 2 |
| | | | |
Intelligent Systems in Medicine | | Intelligent Systems in Medicine | VL | 2 | | Intelligent Systems in Medicine | GÜ | 1 | | Intelligent Systems in Medicine | PS | 2 |
|
| 14 |
| 15 |
| 16 |
| 17 |
| 18 |
| 19 | | | | | |
Randomised Algorithms and Random Graphs | | Randomised Algorithms and Random Graphs | VL | 2 | | Randomised Algorithms and Random Graphs | HÜ | 2 |
| | | | |
Advanced Machine Learning | | Advanced Machine Learning | VL | 2 | | Advanced Machine Learning | GÜ | 2 |
|
| 20 | |
| 21 | |
| 22 | |
| 23 | |
| 24 | |
| 25 | | | |
| 26 | | | |
| 27 | | | |
| 28 | | | |
| 29 | | | |
| 30 | | | |
| Business & Management (from catalogue) - 6LP |
| Non-technical Courses for Master (from catalogue) - 6LP |
| Technical Complementary Course I for CSMS - 6LP |
| Technical Complementary Course II for CSMS - 6LP |
The choice of courses from the catalogue is flexible (depends on the semestral work load), provided the necessary number of required credits is reached.