Study programme 2021-2022Français
Data Structures II
Learning Activity
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)Establishment
S-INFO-020
  • BRUYERE Véronique
      • UMONS
      Language
      of instruction
      Language
      of assessment
      HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      FrançaisFrançais300000Q1


      Content of Learning Activity

      Advanced algorithms and data structures for the search, insertion and deletion of a data inside a set of data, as well as the sort of a set of data. Study of binary search trees, AVL trees, B-trees, hash tables, quicksort, optimal sorts. Study of the correctness of the algorithms, and of their complexity in the worst case and the average case.

      Required Learning Resources/Tools

      Not applicable

      Recommended Learning Resources/Tools

      Not applicable

      Other Recommended Reading

      Introduction to algorithms, by Thomas H. Cormen, Charles E. Leiserson, Ronald L.Rivest (1991). The MIT Press, Mc Graw-Hill.

      Mode of delivery

      • Face to face

      Type of Teaching Activity/Activities

      • Cours magistraux

      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 dernière mise à jour de la fiche ECTS par l'enseignant : 12/05/2021
      Date de dernière génération automatique de la page : 06/05/2022
      20, place du Parc, B7000 Mons - Belgique
      Tél: +32 (0)65 373111
      Courriel: info.mons@umons.ac.be