Inhoudsopgave 1 Faculty of Sciences 8



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  1. Faculty of Sciences

    1. General

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






  1. Artificial 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.


    1. Knowledge 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.


      1. First 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



      1. Second 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



      1. Strongly 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. Recommended 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



    1. Cognitive Science


Cognitive Science is the multi-disciplinary study of mind and cognition. Researchers in Cognitive Science come from a wide range of backgrounds -- including psychology, computer science, artificial intelligence, philosophy, mathematics, neuroscience, and others -- but share the common goal of a better understanding of the human mind. The programme focuses around two main areas of study, the areas behavior and brain, and two research perspectives: empirical work and computational modelling. The underlying philosophy of the programme is to challenge students to be knowledgeable in and sympathetic to a wide variety of fields and techniques. For example, there are courses in experimentation, computational modelling, and the neurobiological basis of cognition. More specifically, the curriculum includes lectures and practical work (some of which are subject to choice) on subjects such as Vision, Attention, Neural Models of Cognitive Processes, Dynamics of Behavior, Neural Networks, Machine Learning, Brain Imaging, Emperical Method, Statistics, Cognitive Neuroscience, Multi-Agent Systems, and Psycholinguistics.
      1. First year


Psychology (BSc) students must also follow optional courses for a total of 5 cp and also deficiency courses for a total of 31 cp.
AI (BSc) students must also follow optional courses for a total of 18 cp and also deficiency courses for a total of 18 cp.

Compulsory courses


Course code

Course name

Cr.

Period

815096

Behavioral Methods

6

3

815048

Human Information Processing (Informatieverwerking)

6

4

815047

Perception (Perceptie)

6

5

815100

Seminar Attention (Seminar Attention)

6

6



Deficiency courses for Psychology (BSc) students (31 cp)


Course code

Course name

Cr.

Period

400132

Neural Networks

6

1

400054

Design of Multi-Agent Systems

6

1 and 2

400043

Logische taal en redeneermethoden

5

1 en 2

400126

Kennissystemen

4

4

400270

Programmeren in Prolog

4

5

400381

Project Knowledge Systems

6

5 and 6



Deficiency courses for AI (BSc) students (18 cp)


Course code

Course name

Cr.

Period

813077

Cognitive Neuroscience and Neuropsychology

6

1

815107

Designing Research

6

4

813001

Applied Cognitive Psychology

6

5



Recommended optional courses


Recommended optional courses




Course code

Course name

Cr.

Period

815102

Memory and Memory Disorders

6

1 (not in 06/07)

815101

Scientific Writing and Presenting

6

1 (not in 06/07)

400154

Machine Learning

6

1 and 2

815103

Brain Imaging

6

2 (not in 06/07)

813002

Programming (Programmeren)

6

2 (not in 06/07)

400188

Organisational Dynamics

6

3

815098

Seminar Cognitive Neuroscience

6

4

815097

Advanced Statistics for Experimentation

6

4

400428

Mini Master Project AI

6

Throughout the year



      1. Second year (2006-2007)


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


Compulsory courses


Course code

Course name

Cr.

Period

400111

Evolutionary Computing

6

1

400113

Behaviour Dynamics

6

1 and 2

815067

Master Thesis: Research Project Cognitive Sciense

30

4, 5 and 6

815047

Perception (Perceptie)

6

5



Recommended optional courses


Recommended optional courses




Course code

Course name

Cr.

Period

815102

Memory and Memory Disorders

6

1 (not in 06/07)

815101

Scientific Writing and Presenting

6

1 (not in 06/07)

400154

Machine Learning

6

1 and 2

815103

Brain Imaging

6

2 (not in 06/07)

813002

Programming (Programmeren)

6

2 (not in 06/07)

400188

Organisational Dynamics

6

3

815098

Seminar Cognitive Neuroscience

6

4

815097

Advanced Statistics for Experimentation

6

4

400428

Mini Master Project AI

6

Throughout the year





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