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

Sample course plan N  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 Security
Software SecurityVL2
Software SecurityUE2
Design of Dependable Systems
Designing Dependable SystemsVL2
Designing Dependable SystemsUE2
Research Project
Research Project IIWPK8
Master Thesis
2
3
4
5
6
7
Digital Communications
Digital CommunicationsVL2
Digital Communications1
Laboratory Digital CommunicationsPR1
Information Theory and Coding
Information Theory and CodingVL3
Information Theory and Coding1
8
9
10
11
12
13
Linear and Nonlinear Optimization
Linear and Nonlinear OptimizationVL4
Linear and Nonlinear Optimization1
Randomised Algorithms and Random Graphs
Randomised Algorithms and Random GraphsVL2
Randomised Algorithms and Random Graphs2
Communication Networks
Communication NetworksVL2
Communication Networks ExcercisePBL1
Selected Topics of Communication NetworksPBL2
14
15
16
17
18
19
20
21
22
23
24
25
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.