Course of Study Computational Science and Engineering (Study Cohort w16)

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
Digital Image Analysis
Digital Image AnalysisVL4
Bioelectromagnetics: Principles and Applications
Bioelectromagnetics: Principles and ApplicationsVL3
Bioelectromagnetics: Principles and ApplicationsUE2
Research Project and Seminar
SeminarSE2
Project WorkPK10
Master Thesis
2
3
4
5
6
7
Robotics
Robotics: Modelling and ControlVL3
Robotics: Modelling and ControlUE2
Microsystem Design
Microsystem DesignVL2
Microsystem DesignPR3
8
9
10
11
12
13
Control Systems Theory and Design
Control Systems Theory and DesignVL2
Control Systems Theory and DesignUE2
Optimal and Robust Control
Optimal and Robust ControlVL2
Optimal and Robust ControlUE2
14
15
16
17
18
19
Mathematical Image Processing
Mathematical Image ProcessingVL3
Mathematical Image ProcessingUE1
Applied Humanoid Robotics
Humanoid RoboticsPBL6
Microsystem Engineering
Microsystem EngineeringVL2
Microsystem EngineeringUE1
Microsystem EngineeringPBL1
20
21
22
23
24
25
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.