UCL - Artificial intelligence seminar

[INGI2369]

[30h] 3 credits

This course is taught in the 2d semester.

Teacher(s): Yves Deville

Language: English

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

Examples of topics :

- Advanced search techniques
- Constraint based local search
- Stochastic local search
- Ant colony optimization
- Tabu search
- Automated reasoning
- Constraint processing

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)