Course of Study Computer Science (Study Cohort w19)

Sample course plan S Master Computer Science (CSMS)
Specialisation Computer and Software Engineering

Legend:
Core qualification Compulsory	Specialisation Compulsory	Focus Compulsory	Thesis Compulsory
Core qualification Elective Compulsory	Specialisation Elective Compulsory	Focus Elective Compulsory	Interdisciplinary complement

Semester 1

Form

Hrs/wk

Semester 2

Form

Hrs/wk

Semester 3

Form

Hrs/wk

Semester 4

Form

Hrs/wk


Efficient Algorithms
Efficient Algorithms	VL	2
Efficient Algorithms	UE	2


Computer Graphics
Computer Graphics	VL	2
Computer Graphics	UE	2


Research Project and Seminar
Seminar	SE	2
Project Work	PK	10


Master Thesis


Algorithmic Algebra
Algorithmic Algebra	VL	3
Algorithmic Algebra	UE	1


Application Security
Application Security	VL	3
Application Security	UE	2


Software Verification
Software Verification	VL	2
Software Verification	UE	2


Software Testing
Software Testing	VL	2
Software Testing	PBL	2


Distributed Algorithms
Distributed Algorithms	VL	2
Distributed Algorithms	HÜ	2


Model Checking - Proof Engines and Algorithms
Model Checking - Proof Engines and Algorithms	VL	2
Model Checking - Proof Engines and Algorithms	UE	2


Traffic Engineering
Traffic Engineering	VL	2
Traffic Engineering Exercises	UE	1
Seminar Traffic Engineering	SE	2


Advanced System-on-Chip Design (Lab)
Advanced System-on-Chip Design	PBL	3

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.