 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)
Other credits in programs
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FSA3DA
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Diplôme d'études approfondies en sciences appliquées
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(3 credits)
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FSA3DS/IN
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Diplôme d'études spécialisées en sciences appliquées (informatique)
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(3 credits)
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INFO22
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Deuxième année du programme conduisant au grade d'ingénieur civil informaticien
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(3 credits)
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INFO23
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Troisième année du programme conduisant au grade d'ingénieur civil informaticien
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(3 credits)
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