Course of Study Computer Science (Study Cohort w18)

Sample course plan R  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
Robotics
Robotics: Modelling and ControlVL3
Robotics: Modelling and ControlUE2
Machine Learning and Data Mining
Machine Learning and Data MiningVL2
Machine Learning and Data MiningUE2
Research Project and Seminar
SeminarSE2
Project WorkPK10
Master Thesis
2
3
4
5
6
7
Intelligent Systems in Medicine
Intelligent Systems in MedicineVL2
Intelligent Systems in MedicineUE1
Intelligent Systems in MedicinePS2
Robotics and Navigation in Medicine
Robotics and Navigation in MedicineVL2
Robotics and Navigation in MedicineUE1
Robotics and Navigation in MedicinePS2
8
9
10
11
12
13
Intelligent Autonomous Agents and Cognitive Robotics
Intelligent Autonomous Agents and Cognitive RoboticsVL2
Intelligent Autonomous Agents and Cognitive RoboticsUE2
Applied Humanoid Robotics
Applied Humanoid RoboticsPBL6
14
15
16
17
18
19
Industrial Process Automation
Industrial Process AutomationVL2
Industrial Process AutomationUE2
Digital Audio Signal Processing
Digital Audio Signal ProcessingVL3
Digital Audio Signal Processing1
20
21
22
23
24
25
Mathematical Image Processing
Mathematical Image ProcessingVL3
Mathematical Image ProcessingUE1
Advanced Topics in Control
Advanced Topics in ControlVL2
Advanced Topics in ControlUE2
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.