Exact Sciences Master Guide2005/2006



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Master programmes


For the Master in Artificial Intelligence, a number of different programmes are offered from which the student can choose. Below we briefly give the content of each programme. You can find more information http://www.cs.vu.nl/ai/masters.

AI programmes:



  • Knowledge Technology and Intelligent Internet Applications (Societal Programme)

  • Cognitive Science (Research Programme)

  • Organisation Dynamics and Self Organisation (Research Programme)

  • Technical Artificial Intelligence (Research Programme)

  • Interdisciplinary Applications (Societal Programme)

  • AI and Communication (Communication Programme)

For psychology courses  registration is needed , usually via TIS system  otherwise the student has to register personally at the "Faculteit der Psychologie en Pedagogiek". The regulation regarding tentaminations can be found in the study guide of that Faculty through http://www.psy.vu.nl.
    1. Knowledge Technology and Intelligent Internet Applications

      1. Programme


Future perspective:

This Master programme contains elements so that the graduate student has a good overview of the contemporary literature regarding applications of intelligent web-sites and intelligent agents on the Internet. Furthermore, the student learns techniques and methods from Artificial Intelligence that are used in Internet applications. The master graduate student is a capable designer of intelligent web-sites, and applications based on intelligent agents. The student ensures that his/her designs respect the needs of the company for which the design is meant.

An increasingly number of companies starts to document knowledge in the company with the use of knowledge acquisition and knowledge modeling techniques from AI. By doing this, the conduct of business is being simplified. Also with change processes in companies, automated knowledge intensive methods can be used, together with elements from economics and organisation psyhology. For graduates, these is a multi-disciplinary field of labour. Via company internships and company funded research projects there is good contact with industry.

 

Audience:

The programme aims at students with aptitude for science, and having an interest for the application of artificial intelligence on modern communication technologies such as the Internet, and on company management.

 

Objectives and final attainment level:



The objective of the programme is to endow the student with the developments on the area of artificial intelligence and modern communication technology, and to prepare for a profession as researcher, expert in a company, information analyst or knowledge managers in a company. The curriculum must give a good preparation on PhD research. It is expected from the graduate to be critical in a scientific manner, to be aware of societal aspects of information technology and of the creation of intelligent systems and to possess knowledge, capabilities and insights related to:

  • knowledge acquisition and knowledge modelling

  • methods of designing AI systems, specifically on internet applications based on intelligent agents

  • techniques for search and optimalization

  • architectures of AI systems

  • company organisation

  • technological, economic and social aspects of information in companies

  • methods and techniques in the area of knowledge management

  • the design of intelligent websites

  • the contemporary literature on intelligent internet applications, including websites and internet agents

and the graduate is expected to be capable of

  • working individually as well as in teams

  • clearly report verbally and written on his/her work

  • consulting specialist literature.
      1. First year


Students must follow optional courses for a total of 15 cp.


Course code

Course name

Cr.

Period

400111

Evolutionary Computing

6

1

400125

Knowledge Management and Modeling

6

1 and 2

400010

Bedrijfsmodellering en requirements engineering

7

1 en 2

400152

Intelligent Interactive Distributed Systems

8

2 and 3

400290

Qualitative Research Methods for the Information Sciences

3

3

400153

Intelligent Web Applications I

8

4 and 5

400081

User Interface Design

4

5 and 6

400292

Ontology Engineering

3

6



      1. Second year


Students must follow optional courses for a total of 24 cp.


Course code

Course name

Cr.

Period

400113

Behaviour Dynamics

6

1 and 2

400285

Master Project Artificial Intelligence

30

4, 5 and 6



      1. Recommended optional courses





Course code

Course name

Cr.

Period

60111030

Management en organisatie 1.1

3

1

400050

Multimedia Authoring I -- Web3D/VRML

6

1

150006

Inleiding wetenschapsfilosofie

6

1

400110

E-Business Innovation

7

1 and 2

400378

Advanced Topics in Software Design

6

1 and 2

400115

Logical Verification

6

1 and 2

400195

Kwaliteitszorg van de informatievoorziening

5

1 en 2

400029

Inleiding besliskunde

6

1 en 2

400389

Automated Reasoning in AI

6

2

400051

Multimedia Authoring II -- Virtual Environments

6

2

400410

Voortgezette logica

4

4

400052

Network Programming

9

4 and 5

400108

Data Mining Techniques

6

4 and 5

400016

Computernetwerken

5

4 en 5

150005

Inleiding wijsgerige antropologie

6

5

400117

Protocol Validation

6

5 and 6

400067

Project Software Engineering

8

5 en 6



    1. Cognitive Science

      1. Programme


Future perspective:

A training in Cognitive Science prepares students well for many of the careers of the future, not only to become a researcher in this field, but also including human-computer interaction, human factors design, medical analysis, information technology, data retrieval, and education.

 

Audience:

The programme aims at AI students as well as Psychology students with an interest for a multi-disciplinary scientific training.

 

Remarks:


  • "Research methods I for Artificial Intelligence: Data collection " is worth 6 cp, being half of the course "Research methods  I for Artificial Intelligence: Data collector" (12 cp)  at the Faculty of Psychology.

  • Courses not taught in 05/06: "Perception", and "Knowledge Representation".

  • Courses not taught in 06/07: "Neural Models of Cognitive Processes" and "Thinking and deciding".

 

Specifics:

This programme is organised in close cooperation with the Faculty of Psychology and can be entered by AI students and Psychology students.


      1. Programme for students having a Bachelor in AI

First year


Students must follow optional courses for a total of 12 cp.


Course code

Course name

Cr.

Period

813066

Opzetten van onderzoek cognitieve psychologie

6




815049

Thinking and deciding (Denken en beslissen)

6

1 (in 05/06; not in 06/07)

813077

Cognitive Neuroscience and Neuropsychology

6

2

812025

Research Methods I for Artificial Intelligence: Data collection (Onderzoeksmethoden 1 voor AI: Dataverzamelingstechnieken)

6

2

815048

Human Information Processing (Informatieverwerking)

6

4

813001

Toegepaste Cognitieve Psychologie

6

5

812001

Thema: Aandacht in het brein (Attention in the brain)

6

5 en 6

815051

Neural Models of Cognitieve Processes

6

2 (in 05/06; not in 06/07)



Second year


Students must follow optional courses for a total of 6 cp.


Course code

Course name

Cr.

Period

400111

Evolutionary Computing

6

1

815047

Perception (Perceptie)

6

1 (not in 05/06; in 06/07)

400113

Behaviour Dynamics

6

1 and 2

815050

Knowledge Representation (Kennisrepresentatie)

6

2 (not in 05/06; in 06/07)

815067

Master Thesis: Research Project Cognitive Sciense

30

4, 5 and 6



Recommended optional courses





Course code

Course name

Cr.

Period

812005

Onderzoeksmethoden II-A: Data-analysetechnieken (Research methods II-A: Data-analysis)

12

5 en 6



      1. Programme for students having a Bachelor in Psychology

First year


Students must follow optional courses for a total of 6 cp.


Course code

Course name

Cr.

Period

815049

Thinking and deciding (Denken en beslissen)

6

1 (in 05/06; not in 06/07)

400054

Design of Multi-Agent Systems

6

1 and 2

400132

Neural Networks

6

1 and 2

400043

Logische taal en redeneermethoden

5

1 en 2

400312

Human-Computer Interaction

5

2 and 3

400126

Kennissystemen

4

4

815048

Human Information Processing (Informatieverwerking)

6

4

400270

Programmeren in Prolog

4

5

400381

Project Knowledge Systems

6

5 and 6

815051

Neural Models of Cognitieve Processes

6

2 (in 05/06; not in 06/07)



Second year


Students must follow optional courses for a total of 6 cp.


Course code

Course name

Cr.

Period

400111

Evolutionary Computing

6

1

815047

Perception (Perceptie)

6

1 (not in 05/06; in 06/07)

400113

Behaviour Dynamics

6

1 and 2

815050

Knowledge Representation (Kennisrepresentatie)

6

2 (not in 05/06; in 06/07)

815067

Master Thesis: Research Project Cognitive Sciense

30

4, 5 and 6



Recommended optional courses





Course code

Course name

Cr.

Period

400154

Machine Learning

6

1 and 2





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