School / Prep
ENSC
Internal code
CO9IAMO0
Description
The aim of this pathway is to give the school's future graduates the ability to understand and implement approaches based on artificial intelligence, in a way that is both effective and responsible.
Teaching hours
- CIIntegrated courses120h
- PRJProject8h
Mandatory prerequisites
All Artificial Intelligence and Cognitics modules.
Syllabus
Detailed content is available online at https://3aia.fr
A pathway project will be run throughout the semester.
Week 1: Data science
Data visualization
Graph analysis
park/Big data
Information extraction from text
Week 2: Advanced learning
Sequence processing
Bayesian approaches
Generative models
Week 3: Reasoning and optimization
Symbolic artificial intelligence
Evolutionary algorithms
Week 4: AI today and tomorrow
Interpretability and explainability
AI issues
MLOps
Quantum computing
Speakers : More than 15 experts working in laboratories (INRIA, CEA, IMT...) or ENSC partner companies (IBM, Onepoint, ThinkDeep...).
Further information
Artificial intelligence, cognitics.
Assessment of knowledge
Initial assessment / Main session - Tests
Type of assessment | Type of test | Duration (in minutes) | Number of tests | Test coefficient | Eliminatory mark in the test | Remarks |
---|---|---|---|---|---|---|
Integral Continuous Control | Continuous control | 1 |
Second chance / Catch-up session - Tests
Type of assessment | Type of test | Duration (in minutes) | Number of tests | Test coefficient | Eliminatory mark in the test | Remarks |
---|---|---|---|---|---|---|
Final test | Written | 60 | 1 |