Study programme 2015 - 2016
Activité d'apprentissage à la Faculty of Science
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)
S-INFO-014
  • MELOT Hadrien
      Language
      of instruction
      Language
      of assessment
      HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      FrançaisFrançais3015000Q2

      Contents

      History and definitions of Artificial Intelligence (AI); Rational Agents; Problem solving (tree search, local search, metaheuristics, AI in Games); Logical agents (propositional logic and first-order logic); Knowledge and reasoning (learning decision trees by examples).

      Required Reading

      Required Learning Resources/Tools

      Not applicable

      Recommended Reading

      Recommended Learning Resources/Tools

      Not applicable

      Other Recommended Reading

      - Russel, S. and Norvig, P., Artificial Intelligence: A Modern Approach, 3ième édition, Pearson, 2010
      - Talbi, E.-G., Metaheuristics: from design to implementation, Wiley, 2009

      Mode of delivery

      • Face to face

      Term 1 Assessment - type

      • N/A

      Term 1 Assessment - comments

      Not applicable

      Term 2 Assessment - type

      • Written examination
      • Quoted exercices

      Term 2 Assessment - comments

      Written exam 85%
      Exercices 15%

      Term 3 Assessment - type

      • Oral examination

      Term 3 Assessment - comments

      Oral exam 100%

      Resit Assessment - Term 1 (B1BA1) - Comments

      Not applicable

      Type of Teaching Activity/Activities

      • Cours (cours magistraux; conférences)
      • Exercices dirigés / utilisation de logiciels / démonstrations
      UE : Programme component - AA : Teaching activity
      (*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term