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INFO-H410

Techniques of artificial intelligence

academic year
2024-2025

Course teacher(s)

Hugues BERSINI (Coordinator)

ECTS credits

5

Language(s) of instruction

english

Course content

The course is organised as 12 sessions of 2 hours.

Objectives (and/or specific learning outcomes)

Training the student with some classical computational tools coming from Artificial Intellgence: search algorithms, knowledge representation, machine learning, neural nets, reinforcement learning, decision trees, data mining, metaheuristics, genetic algorithms, ants colony optimisation.

Prerequisites and Corequisites

Cours ayant celui-ci comme co-requis

Evaluation

Method(s) of evaluation

  • Other

Other

The assessment is divided in two parts: a software project and a written exam.

Programmes