Course 2024-2025

Artificial Intelligence [INFOB317]

  • 5 credits
  • 30h+30h
  • 2nd quarter
Language of instruction: French / Français

Learning outcomes

At the end of the course, the student will master the main concepts and techniques of Artificial Intelligence.

Part of the course consists in a project done by groups of students, which allows students to acquire soft skills.

Moreover, the student will be made aware of the parsimonious use of computer resources, whether in terms of computing time, memory consumption and code size, and, as a result, will be made aware of sustainable development in an IT context.



 

Objectives

The objective of the course is to expose the basic concepts and techniques of Artificial Intelligence.

Content

After an introduction to the field of Artificial Intelligence, the course is divided into two parts: (i) on the one hand, the study of the search techniques, and (ii) the study of knowledge representations. The first part deals with exhaustive search methods, heuristics as well as constraint solving. The second part studies procedural and declarative representations. It also covers the basics machine learning. Throughout the course, logic programming is used to write programs.
 


Prerequisites

Méthodes de programmation [INFOB233]

Co-requisites

Programmation fonctionnelle et logique [INFOB316]

Teaching methods

The course is conveived as a series of lectures that combine theory and practical applications. It is completed by a series of practicals that allow the student to deepen the concepts on concrete cases.

Evaluations

The student is evaluated on two bases: on the one hand on the submission of work to be done during the quadrimester and on the other hand on the basis of a written exam and an oral exam. Successful completion of the course is conditional to the successful completion of each of these parts.

As the work to be carried out requires a major involvement of the student during the whole semester, in application of article 32, paragraph 1 of the Regulations of Studies and Examinations, only work of sufficient quality (sanctioned by a mark higher than 5/20) will be allowed to be represented in the 2nd session.

 

Recommended readings

S. Russel et P. Norvicq, Artificial Intelligence: a Modern Approach. Pearson, 2016.

Language of instruction

French / Français

Location for course

NAMUR

Organizer

Faculté d'informatique
rue Grandgagnage 21
5000 NAMUR
P. 081725252
F. 081724967
secretariat.info@unamur.be

Degree of Reference

Undergraduate Degree