Intelligent Systems

Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

Knowledge and understanding: at the end of the course, the students will
be familiar with basic knowledge of some of the core aspects of AI:
state-space representations, search, adversarial search, logic,
automated reasoning, reasoning with uncertainty and vagueness and
machine learning.

Applying knowledge and understanding: students will be able to implement
basic (adversarial) search algorithms, as well as knowledge based and
adaptive methods to build Intelligent Agents.

Making judgements: the students will have a basic understanding of the
ethical and societal implications of the developements in AI.

Communication skills: students will be able to write a scientific
reports about an original research question in a group of students.

Learning skills: students will be trained in acquiring a set of complex
AI related topics in a restricted period of time, come up with an
original research question and perform the necessary (empirical)

Inhoud vak

The course will provide an introduction to some of the basic concepts of
Artificial Intelligence, such as search, adversarial search, knowledge
representation and machine learning.


2 lectures of 2 hours per week.
Working groups to practice the theoretical material.
Practical groups to apply the acquired knowledge.


The grade will be determined via a (digital) exam (100%), but there are
also 3 mandatory practical assignments (pass/fail), and all three need
to be passed.


BSc Artificial Intelligence (year 1)

Algemene informatie

Vakcode XB_0031
Studiepunten 6 EC
Periode P2
Vakniveau 100
Onderwijstaal Engels
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator dr. K.S. Schlobach
Examinator dr. K.S. Schlobach
Docenten dr. K.S. Schlobach
dr. M. Cochez

Praktische informatie

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Werkvormen Werkcollege, Deeltoets extra zaalcapaciteit, Hoorcollege, Practicum

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