Artificial Intelligence 2

Faculteit Science and Engineering
Jaar 2020/21
Vakcode WBAI001-05
Vaknaam Artificial Intelligence 2
Niveau(s) bachelor
Voertaal Engels
Periode semester I a

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
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 This course was registered last year with course code KIB.KI203

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.
Opgenomen in
Opleiding Jaar Periode Type
BSc Artificial Intelligence 3 semester I a verplicht
BSc Courses for Exchange Students: AI - Computing Science - Mathematics - semester I a