Course of Study Computer Science (Study Cohort w14)

Sample course plan I  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
Algorithmic Algebra
Algorithmic AlgebraVL3
Algorithmic AlgebraUE1
Computational Algebraic Geometry
Computational Algebraic GeometryVL2
Computational Algebraic GeometryUE2
Research Project and Seminar
SeminarSE2
Master Thesis
2
3
4
5
6
7
Digital Image Analysis
Digital Image AnalysisVL4
Pattern Recognition and Data Compression
Pattern Recognition and Data CompressionVL4
8
9
10
11
12
13
Intelligent Autonomous Agents and Cognitive Robotics
Intelligent Autonomous Agents and Cognitive RoboticsVL2
Intelligent Autonomous Agents and Cognitive RoboticsUE2
Nonlinear Optimization
Nonlinear OptimizationVL3
Nonlinear OptimizationUE1
14
15
16
17
18
19
Control Systems Theory and Design
Control Systems Theory and DesignVL2
Control Systems Theory and DesignUE2
Machine Learning and Data Mining
Machine Learning and Data MiningVL2
Machine Learning and Data MiningUE2
3D Computer Vision
3D Computer VisionVL2
3D Computer VisionUE2
20
21
22
23
24
25
Intelligent Systems in Medicine
Intelligent Systems in MedicineVL2
Intelligent Systems in MedicineUE1
Intelligent Systems in MedicinePS2
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.