Course of Study Computer Science <span style='font-size:80%'>(Study Cohort w14)</span>

Course of Study Computer Science (Study Cohort w14)

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


Quantitative Methods - Statistics and Operations Research
Quantitative Methods - Statistics and Operations Research	POL	3
Quantitative Methods - Statistics and Operations Research	VL	2


Computer Graphics and Animation
Computer Graphics and Animation	VL	2
Computer Graphics and Animation	PS	2


Research Project and Seminar
Seminar	SE	2


Master Thesis


Efficient Algorithms
Efficient Algorithms	VL	2
Efficient Algorithms	UE	2


High-Performance Computing
Fundamentals of High-Performance Computing	VL	2
Fundamentals of High-Performance Computing	POL	2


Software Verification
Software Verification	VL	2
Software Verification	UE	2


Software Analysis
Software Analysis	VL	2
Software Analysis	UE	2


Distributed Algorithms
Distributed Algorithms	VL	2
Distributed Algorithms	HÜ	2


Network Security
Network Security	VL	3
Network Security	UE	2


The Computational Web
The Computational Web	VL	2
The Computational Web	PS	2


Software Security
Software Security	VL	2
Software Security	UE	2

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.