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Curriculum

The curriculum is organized in 7 module groups:

1. The mandatory Foundations of Web Science establish a primary view of the Web and of more abstract Web structures (e.g. networks) and build a bridge between computer science, economics, mathematics and social science viewing and modeling the Web along these different perspectives.

2. The Computer Science track requires to choose 3 out of 4 available courses for engineering the Web (Web engineering, Semantic Web) and searching/analysing it (Web Retrieval, Social Web and Bibliometry).

3. The module group Economics and Social Science considers interaction of the Web and different user groups:

  • Citizens in the Web: eParticipation
  • Customers in the Web: Online Consumer Behavior
  • Entrepreneurs in the Web: New Product Development
  • Interests Groups in the Web: Online Communities

At least two out of these 4 modules must be chosen.

4.+5. The remainder of the curriculum may be freely chosen from all Master courses with relevance to the Web given at University Koblenz-Landau, whereby a minimum set of courses must be from computer science (18 ECTS) and from non-computer science (12 ECTS). Courses not listed here include ones in linguistics, anthropology, communication theory, political science, etc. Courses listed under items 2. and 3. may be chosen if they had not been elected yet to fulfill requirements of items 2. or 3.

6.+7.  Topics for seminars, research lab and master's thesis can be freely chosen from Web Science subjects.

 

 

ID

Module

Hours

Credits

 

04IN2026

04IN2027

1. Foundations of Web Science

Introduction to Web Science

Network Theory and Dynamic Systems

 

L4+T/S2

L3+T1

14

8

6

 

 

04IN1021

04IN2025

04IN2023

04IN2012

2. Computer Science

Elect 3 modules

Web Retrieval

Social Web and Bibliometry

Semantic Web

Web Engineering

 

 

L2+T/S2

L2+T/S2

L2+T/S2

L2+T/S2

18

 

6

6

6

6

 

 

04WI2010

04IM2006

04IM2008

3. Economics and Social Science

Elect 2 modules

E-Participation

Online Consumer Behavior

New Product Development

 

 

 

L2+T/S2

L2+T/S2

L2+T/S2

 

12

 

6

6

6

 

 

 

04IN2028

04IN2022

04WI2016

04WI2004

04IN2008

04WI2003

 

04IN2003

04IN2009

04IN2024

04IN2016

04WI2025

 

04FB2002

4. Elective Courses in Computer Science

Elect 3 modules

Machine Learning and Data Mining

Advanced Data Modeling

Business Process Management

Mobile Application Systems*

Empirical Software Engineering*

Semantic Web und E-Government:

Anwendungen und Technologien*

Vertiefung Rechnernetze*

Vertiefung Softwaretechnik*

Interaktive Multimediasysteme*

Effiziente Graphenalgorithmen*

Sicherheit für mobile Systeme*

Research Work

The following further modules are electable:

a. all  modules from 2. Computer Science that were not yet elected to satisfy requirements for 2.

b. further computer science that will be offered with relationship to the Web (e.g. networks, programming, etc.)

 

 

L3+T1

L2+T2

L2+T/S2

L2+T/S2

L2+T2

L2+S2

 

L4+T2

L2+T2

L3+T1

L/T4

L2+T/S2

Report

18

  

6

6

6

6

6

6

 

8

6

6

6

6

6

 

 

 

 

04WI2007

04WI2018

04WI2020

04WI2023

04WI2011

04WI2001

04WI2019

04WI2006

04IM1008

04WI2024

04WI2022

04IM2011b

 

 

5. Elective Courses in Economics, Management,

Social Science and Linguistics

Elect 2 modules

Research and Modeling Methods

Integrated Business Design

Advanced Enterprise Information

Digitale Rechte und E-Transaktionen

Business Collaboration*

Management*

Policy Analysis and Modeling*

Business Software*

Simulation und Agenten-basierte Systeme*

Recht*

IT-Risk-Management*

Informationsgesellschaft*

Netzökonomie*

 

The following further modules are electable:

a. all modules from 3. Economics and Social Science that were not yet elected to satisfy  requirements for 3.

b. all modules relevant to Web Science offered by other departments, such as linguistics, anthropology, political science, etc.

 

 

 

L2+T2

L2+T/S2

L2+T/S2

L2+T/S2

L2+T/S2

L2+T/S2

L2+T/S2

L2+T2

2L2

L2+T/S2

L2+T/S2

L2

12

 

   

6

6

6

6

6

6

6

6

6

6

6

3

 

 

04FB2003

 

04IN2039

6. Research Work, Seminar and Soft Skills

Research Lab in Web Science

(including team and leadership training)

Seminar in Web Science

 

T2+P6

 

S2

16

12

 

4

04FB2004

7. Master Thesis

 

30

 

Total

 

120

 

 Legend:

L = Lecture, T = Tutorial, S = Seminar, P = Placement/Lab,  * currently only in German

zuletzt verändert: 24.08.2012 13:42

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