Study programme 2020-2021Français
Bioinformatics
Learning Activity
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)Establishment
S-BIOG-143
      • DELGRANGE Olivier
      • UMONS
      Language
      of instruction
      Language
      of assessment
      HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      FrançaisFrançais150000Q1

      Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19)
      • Oral exam (questions and answers, presentation of individual or group work, comment and argument about a written text...)
      Description of the modifications to the Q3 2020-2021 assessment procedures (Covid-19)
      Oral exam in person. In case of force majeure, the oral exam could be organized remotely via Teams by
      maintaining exactly the same modalities. The student choose a random questionand then has 15 min to prepare with his written course. The student then answers the question, the teacher asking sub-questions related to the main question to assess the mastery and understanding of the subject.

       

      Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)

      • Oral exam (questions and answers, presentation of individual or group work, comment and argument about a written text...)

      Description of the modifications to the Q1 2020-2021 online assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)

      Oral exam in person. In case of force majeure, the oral exam could be organized remotely via Teams by
      maintaining exactly the same modalities. The student choose a random questionand then has 15 min to prepare with his written course. The student then answers the question, the teacher asking sub-questions related to the main question to assess the mastery and understanding of the subject.

       

      Content of Learning Activity

      Algorithmic; genetic sequence databanks; pseudo-language; variable; complexity of algorithms; efficiency; dot-plot, sequence alignment, substitution matrices, NP-completeness, assembly of DNA fragments

      Required Learning Resources/Tools

      Not applicable

      Recommended Learning Resources/Tools

      Not applicable

      Other Recommended Reading

      Neil C. Jones and Pavel A. Pevzner, An Introduction to BioInformatics Algorithms, MIT Press, 2004

      Mode of delivery

      • Face to face

      Type of Teaching Activity/Activities

      • Cours magistraux
      • Conférences

      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 : 09/07/2021
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      Courriel: info.mons@umons.ac.be