Course of Study Computational Science and Engineering (Study Cohort w17)

Sample course plan R  Master Computational Science and Engineering (IIWMS)
Specialisation Systems Engineering and Robotics
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
Industrial Process Automation
Industrial Process AutomationVL2
Industrial Process AutomationUE2
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
Control Systems Theory and Design
Control Systems Theory and DesignVL2
Control Systems Theory and DesignUE2
Microsystem Design
Microsystem DesignVL2
Microsystem DesignPR3
14
15
16
17
18
19
Optimal and Robust Control
Optimal and Robust ControlVL2
Optimal and Robust ControlUE2
Intelligent Systems in Medicine
Intelligent Systems in MedicineVL2
Intelligent Systems in MedicineUE1
Intelligent Systems in MedicinePS2
20
21
22
23
24
25
Applied Humanoid Robotics
Humanoid RoboticsPBL6
Microsystem Engineering
Microsystem EngineeringVL2
Microsystem EngineeringPBL2
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.