Inhoudsopgave 1 Faculty of Sciences 8

2. 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

2. 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

3. 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

4. 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

2. 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

2. 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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