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Fundamentals of artificial intelligence

  • School / Prep

    ENSC

Internal code

CO7SCIA0

Description

An introduction to the issues, methods and algorithms used in artificial intelligence.

Course language : English (French if all students are fluent in French)

Course languages : English and French

Key words :

  • General problem solving
  • Min-Max
  • Genetic algorithm
  • Finding the shortest path
  • Dijkstra
  • A*
  • Introduction to robotics
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Objectives

Introduction to methods and algorithms used in symbolic artificial intelligence:

  • General problem solving,
  • min-max algorithm, 
  • genetic algorithms,
  • search paths,
  • Dijkstra,
  • A*,
  • introduction to robotics.
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Teaching hours

  • CMLectures10h
  • TDTutorial3h
  • TDMMachine Tutorial12h
  • PRJProject20h
  • TIIndividual work17h

Mandatory prerequisites

Know how to program in an object-oriented computer language.

Pre-requisite: advanced programming

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Syllabus

Speakers: J.-M. Salotti, B. Pesquet, G. Laisné

Introduction to artificial intelligence
Introduction to robotics
Genetic algorithms
Graph data structures
General problem solving
Exploration algorithms with heuristics
Constraint satisfaction problems
Exploration algorithms for adversarial games

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Further information

Cognitics: Artificial intelligence

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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
Final inspectionWritten901authorized documents
ProjectContinuous control1

Second chance / Catch-up session - Tests

Type of assessmentType of testDuration (in minutes)Number of testsTest coefficientEliminatory mark in the testRemarks
Final testOral201authorized documents