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Artificial Intelligence

  • 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.

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Teaching hours

  • CIIntegrated courses120h
  • PRJProject8h

Mandatory prerequisites

All Artificial Intelligence and Cognitics modules.

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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...).

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Further information

Artificial intelligence, cognitics.

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Assessment of knowledge

Initial assessment / Main session - Tests

Type of assessmentType of testDuration (in minutes)Number of testsTest coefficientEliminatory mark in the testRemarks
Integral Continuous ControlContinuous control1

Second chance / Catch-up session - Tests

Type of assessmentType of testDuration (in minutes)Number of testsTest coefficientEliminatory mark in the testRemarks
Final testWritten601