| Uitgebreide vaknaam |
Artificial Intelligence 2 |
| Leerdoelen |
This course is intended to introduce topics not handled in the introductory course (KI-1) and other advanced topics in artificial intelligence. |
| Omschrijving |
Topics: Planning, Symbolic vs Statistical Learning, Grammar Induction, aspects of Computational Learning Theory, Heterogeneous Information Integration, Data Mining and Knowledge Discovery. |
| Uren per week |
|
| Onderwijsvorm |
Hoorcollege (LC), Practisch werk (PRC)
|
| Toetsvorm |
Practisch werk (PR), Schriftelijk tentamen (WE)
(Practicals are obligatory and graded, together with the final exam)
|
| Vaksoort |
bachelor
|
| Coördinator |
prof. dr. L.R.B. Schomaker
|
| Docent(en) |
prof. dr. L.R.B. Schomaker
, J. Visser
|
| Verplichte literatuur |
| Titel |
Auteur |
ISBN |
Prijs |
| Artificial Intelligence, a modern approach (2002) 2nd Edition |
Russell & Norvig |
|
|
|
| Entreevoorwaarden |
Mandatory: No prior knowledge is assumed.
Advised: Artificial Intelligence 1 (WBAI023-05) and the probability aspect of Statistics (WBAI049-05) are strongly recommended. |
| Opmerkingen |
Artificial Intelligence (BSc) is a Fixed Quota (Numerus Fixus) programme. As a consequence, their courses (course code WBAI) are closed for students that are not registered under the AI BSc programme, unless the course is part of the mandatory curriculum of their programme. If you wish to take this course in your minor – or as part of a so-called ‘unofficial’ pre-master’s – please use the official procedure through the Board of Examiners form. |
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