Study programme 2020-2021 | Français | ||
Artificial Intelligence | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
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I-ILIA-026 |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
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Français | Français | 18 | 18 | 0 | 0 | 0 | Q1 |
Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19) |
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Description of the modifications to the Q3 2020-2021 assessment procedures (Covid-19) |
Evaluation (within questions-answers and examples analysis) of the acquisition of the following points: - Bases, approaches and concrete examples of artificial intelligence applications - Development process, training and evaluation of a deep neuron networks |
Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)
Description of the modifications to the Q1 2020-2021 online assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)
Evaluation (within questions-answers and examples analysis) of the acquisition of the following points:
- Bases, approaches and concrete examples of artificial intelligence applications
- Development process, training and evaluation of a deep neuron networks
Content of Learning Activity
- Introduction and definition of artificial intelligence;
- Intelligent agents;
- Multi-agent systems;
- Recall and terminology of machine learning;
- Deep neural networks (Deep Learning);
- Types of deep neural networks (MLP, CNN, RNN, etc.).
Required Learning Resources/Tools
Russel, S. Et Norvig, P., (2010) Artificial Intelligence : A Modern Approach 3rd edition, Pearson
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)