 | Study programme 2019-2020 | Français | |
| Artificial Intelligence | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| S-INFO-061 |
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|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 30 | 15 | 0 | 0 | 0 | Q2 |
| Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
|---|
|
Content of Learning Activity
History and definitions of Artificial Intelligence (AI); Rational Agents; Problem solving (tree search, local search, metaheuristics, AI in Games); Logical agents (propositional logic and first-order logic); Knowledge and reasoning (learning decision trees by examples).
Required Reading
Note de cours - Intelligence Artificielle - Hadrien Mélot
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
- Russel, S. and Norvig, P., Artificial Intelligence: A Modern Approach, 3ième édition, Pearson, 2010
- Talbi, E.-G., Metaheuristics: from design to implementation, Wiley, 2009
Mode of delivery
- Mixed
Type of Teaching Activity/Activities
- Cours magistraux
- Travaux pratiques
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)