Study programme 2019-2020Français
Big Data Analytics
Learning Activity
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)Establishment
S-INFO-075
  • BEN TAIEB Souhaib
      • Université de Mons
      Language
      of instruction
      Language
      of assessment
      HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      Anglais, FrançaisAnglais, Français3030000Q2

      Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19)
      • Oral exam (questions and answers, presentation of individual or group work, comment and argument about a written text...)

      Content of Learning Activity

      This unit is a follow-up to the "Machine Learning" unit. It covers other topics related to big data analysis which will allow to deepen the knowledge about the previously covered topics, such as "support vector machines", le "deep learning", etc.

      Required Learning Resources/Tools

      Not applicable

      Recommended Learning Resources/Tools

      Not applicable

      Other Recommended Reading

      Not applicable

      Mode of delivery

      • Face to face

      Type of Teaching Activity/Activities

      • Cours magistraux
      • Travaux pratiques

      Evaluations

      The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)

      (*) 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 : 13/07/2020
      20, place du Parc, B7000 Mons - Belgique
      Tél: +32 (0)65 373111
      Courriel: info.mons@umons.ac.be