Study programme 2018-2019Français
Advenced aspects of artifical intelligence
Programme component of Master's Degree in Computer Science à la Faculty of Science
CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCINFO-801-MCompulsory UEMELOT HadrienS825 - Algorithmique
  • MELOT Hadrien

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français301500055.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-021Advanced aspects of Artificial Intelligence3015000Q2100.00%
Programme component

Objectives of Programme's Learning Outcomes

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-INFO-021
  • Cours magistraux
  • Exercices dirigés

Mode of delivery

AAMode of delivery
S-INFO-021
  • Face to face

Required Reading

AA
S-INFO-021

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-INFO-021Not applicable

Recommended Reading

AA
S-INFO-021

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-INFO-021Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-INFO-021Russel, S. and Norvig, P., Artificial Intelligence: A Modern Approach, 3ième édition, Pearson, 2010   Williamson, Shmoys, The Design of Approximation Algorithms, Cambridge University Press (2011). Electronic version available online: www.designofapproxalgs.com

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-INFO-021Unauthorized
(*) 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
Date de génération : 02/05/2019
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