Course of Study Computer Science (Study Cohort w16)

Sample course plan M  Master Computer Science (CSMS)
Specialisation Intelligence Engineering
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
Digital Image Analysis
Digital Image AnalysisVL4
Operations Research
Operations ResearchVL2
Operations Research - SeminarSE2
Project Operations ResearchPOL1
Research Project and Seminar
SeminarSE2
Project WorkPK10
Master Thesis
2
3
4
5
6
7
Quantitative Methods - Statistics and Operations Research
Quantitative Methods - Statistics and Operations ResearchVL3
Quantitative Methods - Statistics and Operations Research2
Computational Algebraic Geometry
Computational Algebraic GeometryVL4
8
9
10
11
12
13
Robotics
Robotics: Modelling and ControlVL3
Robotics: Modelling and ControlUE2
Optimal and Robust Control
Optimal and Robust ControlVL2
Optimal and Robust ControlUE2
14
15
16
17
18
19
Algorithmic Algebra
Algorithmic AlgebraVL3
Algorithmic AlgebraUE1
Industrial Process Automation
Industrial Process AutomationVL2
Industrial Process AutomationUE2
20
21
22
23
24
25
Hierarchical Algorithms
Hierarchical AlgorithmsVL2
Hierarchical AlgorithmsUE2
Numerical Methods for Medical Imaging
Numerical Methods for Medical ImagingVL2
Numerical Methods for Medical ImagingUE2
26
27
28
29
30
Business & Management (from catalogue) - 6LP
Nontechnical Elective Complementary Courses for Master (from catalogue) - 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.