Introduction to Artificial Intelligence

2019-2020

Course Objective

After completing this course, students will have:
- a strong understanding of a number of subfields of AI; (Knowledge and
understanding)
- a good understanding of the academic skills required in studying AI;
(Applying knowledge and understanding)
- some basic skills in writing a project proposal (Communication)
- a solid understanding of how the degree program in AI is structured.
(Lifelong learning skills)
- analysing the role of AI in society (Making judgements)

Course Content

The course combines general lectures and individual working groups to
survey the richness of the area of Artificial Intelligence (AI). In
addition to weekly lectures that introduce a wide range of topics
related to AI, the course is structured around working classes in which
students in groups work on small projects to find, analyse and solve
(theoretically) interesting AI problems.

The working group also form mentor groups in which both academic skills
and the individual AI topics are discussed. The goal of the course is to
provide a broad introduction to AI and to provide students with the
basic academic skills and knowledge that are necessary for studying AI
at the Bachelor's level.

Teaching Methods

Lectures and working groups.

Method of Assessment

Weekly assignments that are combined into a single group project report.

Literature

The course will consider scientific articles that are explained during
the lectures and have to be consdidered as part of individual working
group projects.

Target Audience

BSc Artificial Intelligence (year 1)

General Information

Course Code X_401089
Credits 3 EC
Period P1
Course Level 100
Language of Tuition English
Faculty Faculty of Science
Course Coordinator dr. K.S. Schlobach
Examiner dr. K.S. Schlobach
Teaching Staff dr. A.C.M. ten Teije
prof. dr. F.A.H. van Harmelen
dr. M.C.A. Klein
dr. K.S. Schlobach

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Lecture, Meeting
Target audiences

This course is also available as: