Sample Study Plan for M.Sc. in Applied Computer Science (Angewandte Informatik”) Completely in English  (01.07.10)

Area

Direction

Module

Course name

Credits

Credits with graded

Core Computer Science

CS  

M.Inf.122/222: Seminar Telematik I/II (EITHER or BOTH)

Option 1: Seminar on Internet Technologies

4

4

Option 2: Mobile and Wireless Network Security & Privacy

(4)

(4)

Core Computer Science

CS  

M.Inf.223: Seminar Telematik III

Advanced Topics in Computer Networking

6

6

Core Computer Science

CS  

M.Inf.224: Seminar Computernetzewerke II

Advanced Topics in Mobile Communications

6

6

Core Computer Science

CS

M.Inf.121: Mobilkommunikation

Mobilkommunikation I

4

4

Mobilkommunikation II

4

4

Core Computer Science

CS

M.Inf.201§

Research-oriented project

(2-)6

0

# Core Computer Science

 

 

30

24(-28)

 

OPTION Direction 1: „Business Informatics“

Applied Computer Science

Business Informatics

M.WIWI-WIN.0011

Entrepreneurship (Prof. Dr. Lutz Kolbe, Dr. Eric Oldekop)

6

6

Applied Computer Science

Business Informatics

M.WIWI-WIN.0008

Change & Run IT (Prof. Dr. Lutz Kolbe)

6

6

Applied Computer Science

Business Informatics

M.WIWI-WIN.0004

Seminar for IM (Prof. Dr. Lutz Kolbe)

8

8

# Applied Computer Science

 

 

20

20

 

Applied Field

Math for economic sciences

M.WIWI-QMW.0001 *

Applied Statistical Modelling (Prof. Dr. Walter Zucchini)

6

6

Applied Field

Business management

M.WIWI-BWL.0004 *

Financial Risk Management (Prof. Dr. Olaf Korn)

6

6

Applied Field

Business management

M.WIWI-BWL.0021 *

Company Taxation in the European Union (Prof. Dr. Andreas Oestreicher)

6

6

Applied Field

Business management

M.WIWI-BWL.0018 *

Analysis of IFRS Financial Statements (Prof. Dr. Jörg-Markus Hitz)

6

6

# Applied Field

Note *: select any 3 out of 4

 

18

18

 

Projektarbeit

                                M.Inf.201§

Research-oriented project

22

0

Master thesis

 

 

30

30

In Total (ECTS)

 

 

120

92-96

 

OPTION Direction 2: „Computational Neuroscience“

Applied Computer Science

Computational Neuroscience

M.Inf.401

Computational Neuroscience 1: Learning and adaptive algorithms

5

5

Applied Computer Science

Computational Neuroscience

M.Inf.402: Seminar Computational Neuroscience

Journal Club Computational Neuroscience

4

4

Applied Computer Science

Option 1

M.Inf.101

Small practical course on modeling

6

6

Option 2

M.Inf.805

Research-oriented project/practical course on advanced networking

# Applied Computer Science

 

 

15

15

Applied Field

Statistik/Mathe

M.WIWI-QMW.0001

Applied Statistical Modelling  (Prof. Zucchini)

6

6

Applied Field

Statistik/Mathe

M.WIWI-QMW.0002

Advanced Statistical Inference (Prof. Zucchini)

6

6

Applied Field

Statistik/Mathe

M.WIWI-QMW.0007

Bayesian Methods and Hidden Markov Models (Prof. Zucchini)

6

6

Applied Field

Mathe/NAM

M.Mat.342

Blockseminar High Performance GPU Computing (Prof. Schaback etc)

4

4

Applied Field

Mathe/CS

M.Inf.111

Error Correcting Codes (Prof. Damm)

6

6

# Applied Field

ANY THREE among the five courses above

16(-18)

16(-18)

Key competence

Option 1:               M.Inf.801: Externes Praktikum

External institution for 2 months visit  (12 ECTS)

12

12

Option 2:               Sprachenlehrnen

German as Foreign Language (Deutsch als Freudsprache) (0, 4, 6, 8, 12 ECTS)

0

Option 3:               M.Inf.201§

Research-oriented project (0, 4, 6, 8, 12 ECTS)

0

Projects

                                M.Inf.201§

Research-oriented project

(15-)17

0

Master thesis

 

 

30

30

In Total (ECTS)

 

 

120

85-103

 

§ NOTE: M.Inf.201 requires 12-30 ECTS, but the credits can be split into several blocks.