Course of Study Computer Science (Study Cohort w19)

Sample course plan N  Master Computer Science (CSMS)
Specialisation Computer and Software 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
Efficient Algorithms
Efficient AlgorithmsVL2
Efficient AlgorithmsUE2
Simulation of Communication Networks
Simulation of Communication NetworksPBL5
Research Project and Seminar
SeminarSE2
Project WorkPK10
Master Thesis
2
3
4
5
6
7
Communication Networks
Analysis and Structure of Communication NetworksVL2
Communication Networks ExcercisePBL1
Selected Topics of Communication NetworksPBL2
Software for Embedded Systems
Software for Embdedded SystemsVL2
Software for Embdedded SystemsUE3
8
9
10
11
12
13
Distributed Algorithms
Distributed AlgorithmsVL2
Distributed Algorithms2
Compilers for Embedded Systems
Compilers for Embedded SystemsVL3
Compilers for Embedded SystemsPBL1
14
15
16
17
18
19
Wireless Sensor Networks
Wireless Sensor NetworksVL2
Wireless Sensor NetworksUE1
Wireless Sensor Networks: ProjectPBL2
Traffic Engineering
Traffic EngineeringVL2
Traffic Engineering ExercisesUE1
Seminar Traffic EngineeringSE2
20
21
22
23
24
25
Curves, Cryptosystems and Quantum Computing
Curves, Cryptosystems and Quantum ComputingVL4
Advanced System-on-Chip Design (Lab)
Advanced System-on-Chip DesignPBL3
26
27
28
29
30
Business & Management (from catalogue) - 6LP
Non-technical 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.