Course of Study Computer Science (Study Cohort w21)

Sample course plan B  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 CompulsorySpecialisation CompulsoryFocus CompulsoryThesis Compulsory
Core Qualification Elective CompulsorySpecialisation Elective CompulsoryFocus Elective CompulsoryInterdisciplinary complement
LP
Semester 1FormHrs/wk
Semester 2FormHrs/wk
Semester 3FormHrs/wk
Semester 4FormHrs/wk
1
Software Verification
Software VerificationVL2
Software Verification2
Computer Graphics
Computer GraphicsVL2
Computer Graphics2
Research Project Computer Science
Research Project Computer SciencePK8
Master Thesis
2
3
4
5
6
7
Digital Image Analysis
Digital Image AnalysisVL4
Design of Dependable Systems
Designing Dependable SystemsVL2
Designing Dependable Systems2
8
9
10
11
12
13
Linear and Nonlinear Optimization
Linear and Nonlinear OptimizationVL4
Linear and Nonlinear Optimization1
Machine Learning and Data Mining
Machine Learning and Data MiningVL2
Machine Learning and Data Mining2
Medical Imaging
Medical ImagingVL2
Medical Imaging2
14
15
16
17
18
19
Probability Theory
Probability TheoryVL3
Probability Theory1
Mathematical Image Processing
Mathematical Image ProcessingVL3
Mathematical Image Processing1
20
21
22
23
24
25
Advanced Seminars Computer Science
Advanced Seminar Computer Science ISE2
Introductory Seminar Computer Science IISE2
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.