Inhoudsopgave 1 Faculty of Sciences 8



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Exact Sciences
Studiegids 2006/2007







Inhoudsopgave

1 Faculty of Sciences 8

2 Artificial Intelligence (MSc) 10

3 Bioinformatics (MSc) 20

4 Business Mathematics and Informatics (MSc) 22

5 Chemistry (MSc) 24

6 Computer Science (MSc) 30

7 Information Sciences (Msc) 40

8 Mathematics (MSc) 42

9 Medical Natural Sciences (MSc) 48

10 Parallel and Distributed Computer Systems (MSc) 52

11 Pharmaceutical Sciences (MSc) 54

12 Physics (MSc) 58

13 Stochastics and Financial Mathematics (MSc) 64

14 Course Descriptions 66




1Faculty of Sciences

1.1General

The study guide information is restricted only to the study programmes and detailed course descriptions.


Important information about education, for instance schedules, facilities, master coordinators, regulations and the Education Office can be found at the faculty's education website
www.few.vu.nl/onderwijs

General information about the Faculty, for instance the organisation, Faculty Board and committees, can be found at the faculty's website


www.few.vu.nl

A brief outline of frequently asked information and the corresponding webpages is listed below.




  • Schedules of lectures and exams > www.few.vu.nl/onderwijs/roosters



  • Registration for exams or courses > https://tis.vu.nl/tis/menu



  • Print- and copy facilities > www.few.vu.nl/ondewijs/voorzieningen



  • Master coordinators > see the concerning programme > www.few.vu.nl/onderwijs/



  • Application procedure for a Master degree > http://www.few.vu.nl/onderwijs/regelingen



  • Academic schedule > www.few.vu.nl/onderwijs/roosters/periode06-07.html



  • Education Office > http://www.few.vu.nl/onderwijs/contact.html






2Artificial Intelligence (MSc)


The information presented here concerns the structure of the MSc programme in Artificial Intelligence and detailed course information.

More detailed and general information about the master programme - for instance the master coordinator, schedules, etcetera - can be found at the faculty's website.


2.1Knowledge Technology and Intelligent Internet Applications


This Master programme contains elements so that the graduate student has a good overview of the contemporary literature regarding applications of intelligent websites 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 websites, 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 modelling techniques from AI. By doing this, the conduct of business is being simplified. Also with change processes in companies, automated knowledge intesive methods can be used, togehter with elemnts from economics and organisation psychology. For graduates, this is a multi-disciplinary field of labour. Via company internships and company funded resarch projects there is a good contact with the industry.


2.1.1First year


Students must also follow optional courses for a total of 25 cp.

Course code

Course name

Cr.

Period

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

8

4 and 5

400292

Ontology Engineering

3

6



2.1.2Second year


Students must also follow optional courses for a total of 18 cp.

Course code

Course name

Cr.

Period

400111

Evolutionary Computing

6

1

400113

Behaviour Dynamics

6

1 and 2

400285

Master Project Artificial Intelligence

30

4, 5 and 6



2.1.3Strongly recommended optionial courses


Course code

Course name

Cr.

Period

400435

Information Retrieval

6

2

400108

Data Mining Techniques

6

4 and 5

400389

Automated Reasoning in AI

6

5 and 6

2.1.4Recommended optional courses





Course code

Course name

Cr.

Period

400440

Multimedia Authoring

6

1

150006

Inleiding wetenschapsfilosofie

6

1

60111030

Management en organisatie 1.1

3

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

400441

Intelligent Multimedia Technology

6

2

400410

Voortgezette logica

4

4

400052

Network Programming

9

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

400428

Mini Master Project AI

6

Throughout the year





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