| Kursusnavn (dansk): | Kunstig intelligens og intelligente systemer |
| Kursusnavn (engelsk): | Artificial Intelligence and Intelligent Systems |
| Semester: | Efterår 2006 |
| Udbydes under: | cand.it., tværfaglig it-udvikling (tit) |
| Omfang i ECTS: | 7,50 |
| Kursussprog: | Engelsk |
| Kursushjemmeside: | https://learnit.itu.dk |
| Min. antal deltagere: | 10 |
| Forventet antal deltagere: | 30 |
| Maks. antal deltagere: | 40 |
| Formelle forudsætninger: | A familiarity of database technology and data modelling equivalent to
Roskilde University's courses "Databases" is required. Programming experience equivalent to introductory programming courses
followed by a programming project (e.g., a 7.5 ECTS project as
provided by Roskilde University).
|
| Læringsmål: | An introduction is given to artificial intelligence (AI) and
intelligent systems, including an overview of common AI methods.
Emphasis is on AI methods as practical programming and problem
solving techniques and with no special attention to the philosophical
aspects. The course aims at an integration of practical and
theoretical aspects and can also be taken as a source of inspiration
for project works and master's theses.
|
| Fagligt indhold: | A selection of the following topics is introduced: Rule-based expert
systems, Artificial Neural Networks, Automatic reasoning (deduction-
induction-abduction) with emphasis on diagnosis and abduction,
Natural language analysis, Statistically based methods (uncertainty
and machine learning), Fuzzy logic, Evolutionary/genetic programming.
While giving a fair overview of the field, the course may give
special attention to topics related to current research topics.
For the practical exercises, we use high-level tools to be introduced
during the course, with logic programming as one central technique,
so that time spent on irrelevant technical details can be reduced to
a minimum.
|
| Læringsaktiviteter: | 12 forelæsninger + frivillige øvelsestimer The course combines lectures, practical exercises to be solved in
class, and presentations by students - whenever possible, integrated
into a workshop-like environment.
11.5 course days, each planned as an integrated program around one
topic.
|
| Eksamensform og -beskrivelse: | X. experimental examination form (7-scale; external exam), 13-skala, Ekstern censur Oral exam with offset in a written assignment
|
| Litteratur udover forskningsartikler: | Michael Negnevitsky:
Artificial Intelligence, A guide to intelligent systems, 2nd edition
Ttextbook (TBA), course notes (to be made available on
the web), and scientific articles.
|
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Kursusoversigt