Sample course plan M Master Computational Science and Engineering (IIWMS)
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 | | | | |
Software Verification | Software Verification | VL | 2 | Software Verification | GÜ | 2 |
| | | | |
Intelligent Systems Lab | Intelligent Systems Lab | PBL | 6 |
| | | | |
Research Project | Research Project IIW | PK | 8 |
| |
2 |
3 |
4 |
5 |
6 |
7 | | | | |
Software Security | Software Security | VL | 2 | Software Security | GÜ | 2 |
| |
8 | |
9 | |
10 | |
11 | |
12 | |
13 | | | | |
Mathematical Image Processing | Mathematical Image Processing | VL | 3 | Mathematical Image Processing | GÜ | 1 |
| | | | | |
Distributed Algorithms | Distributed Algorithms | VL | 2 | Distributed Algorithms | HÜ | 2 |
|
14 | |
15 | |
16 | |
17 | |
18 | |
19 | | | | | | |
Digital Signal Processing and Digital Filters | Digital Signal Processing and Digital Filters | VL | 3 | Digital Signal Processing and Digital Filters | HÜ | 2 |
|
20 | | |
21 | | |
22 | | |
23 | | |
24 | | |
25 | | | | | | |
Mathematics of Neural Networks | Mathematics of Neural Networks | VL | 2 | Mathematics of Neural Networks | GÜ | 2 |
|
26 | | |
27 | | |
28 | | |
29 | | |
30 | | |
| Business & Management (from catalogue) - 6LP |
| Non-technical Courses for Master (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.