Algemene informatie
| Vakcode | XB_0031 |
|---|---|
| Studiepunten | 6 EC |
| Periode | P2 |
| Vakniveau | 100 |
| Onderwijstaal | Engels |
| Faculteit | Faculteit der Bètawetenschappen |
| Vakcoördinator | prof. dr. K.S. Schlobach |
| Examinator | prof. dr. K.S. Schlobach |
| Docenten |
M. Beijerbacht prof. dr. K.S. Schlobach |
|
Onderdeel van opleiding(en)
Bachelor
Premaster
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Praktische informatie
Voor dit vak moet je zelf intekenen. De inteken- en afmeldtermijnen staan op VU.nl
| Onderwijsvorm | Werkcollege, Practicum, Deeltentamen schriftelijk, Hoorcollege |
|---|
Doelgroepen
Dit vak is ook toegankelijk als:
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 developments 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) research.
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.
Aanvullende informatie onderwijsvormen
2 lectures of 2 hours per week. Tutorials to get started with the programming exercises in the first weeks. Working groups to practice the theoretical material (2 hours). Practical groups to apply the acquired knowledge (flexible, on demand)
Toetsvorm
The grade will be determined via two (digital) exams (35%+35%), and a number of practical assignments (30% in total). All three components have to been completed successfully to pass the course. There will be a (single) resit exam, combining both partial results, but no resits for the practical assignments.
Literatuur
Chapters from "AI a Modern Approach", Russell and Norwig, provided as a part of a reader.
Aanvullende informatie doelgroep
Bachelor Artificial Intelligence (year 1)Aanbevolen voorkennis
Some basic Programming in Python, as taught in Computational Thinking, and in parallel with Introduction to Programming course in P1.