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INFO-H410
Techniques of artificial intelligence
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.