Course of Study Computational Science and Engineering (Study Cohort w19)

Sample course plan A  Master Computational Science and Engineering (IIWMS)
Specialisation I. Computer Science, Specialisation II. Engineering Science, Specialisation III. Mathematics, Specialisation IV. Subject Specific Focus
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
Software Verification
Software VerificationVL2
Software VerificationUE2
Algorithmic Game Theory
Algorithmic Game TheoryVL4
Algorithmic Game Theory2
Research Project
Research Project IIWPK8
Master Thesis
2
3
4
5
6
7
Mathematical Image Processing
Mathematical Image ProcessingVL3
Mathematical Image ProcessingUE1
Information Theory and Coding
Information Theory and CodingVL3
Information Theory and Coding1
8
9
10
11
12
13
Distributed Algorithms
Distributed AlgorithmsVL2
Distributed Algorithms2
14
15
16
17
18
19
Control Systems Theory and Design
Control Systems Theory and DesignVL2
Control Systems Theory and DesignUE2
20
21
22
23
24
25
Mathematics of Neural Networks
Mathematics of Neural NetworksVL2
Mathematics of Neural NetworksUE2
26
27
28
29
30
Business & Management (from catalogue) - 6LP
Non-technical Courses for Master (from catalogue) - 6LP
Technical Complementary Course II for Computational Science and Engineering - 12LP
Technical Complementary Course I for Computational Science and Engineering - 12LP

The choice of courses from the catalogue is flexible (depends on the semestral work load), provided the necessary number of required credits is reached.