UCL - Artificial intelligence seminar

[INGI2369]

[30h] 3 credits

This course is taught in the 2d semester.

Teacher(s): Yves Deville, Yves Deville(supplée Pierre Dupont), Pierre Dupont(coord.)

Language: French

Level: Second

Aims
Main themes
Content and teaching methods
Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Aims

- To study recent advances in artificial intelligence

- To summarize a technical or scientific AI paper and discuss it with a critical viewpoint

Main themes

Themes are chosen among recent advances in artificial intelligence or, more specifically, machine learning

Content and teaching methods

Illustrative examples:
- Hidden Markov models
- Boosting and bagging algorithms
- Support vector machines
- Automata induction techniques
- N-grams models
- Probabilistic context-free grammars

Teaching methods: student seminars

Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Prerequisites: Courses in artificial intelligence (INGI2262 or INGI2261 or INGI2365 according to hthe current year topic)