Study programme 2015 - 2016
Programme component of Master's Degree in Biology à la Faculty of Science
CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-BIOL60-016-MCompulsory UECOLET Jean-MarieM125 - Biologie humaine et Toxicologie
    Language
    of instruction
    Language
    of assessment
    HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
      Français0000022
      AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      M-BHTO-302
      Integrated Assessment: There will be an overall assessment for the entire Programme component (UE) instead of individual assessments for each Teaching Activity (AA)

      Objectives of general skills

      • Skill 1: Have acquired highly specialised and integrated knowledge and broad skills inbiological sciences, adding to those covered in the Bachelor's programme in biological sciences.
      • Skill 2: Have acquired professional skills relating to the degree.
        • Apply, mobilise, articulate and promote the knowledge and skills acquired in order to contribute to the achievement of research project in biology.
      • Skill 4: Master communication techniques.
        • Communicate, in English both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
      • Skill 5: Develop and integrate a high degree of autonomy.
        • Aquire new knowledge independently.

      UE's Learning outcomes

      The main objective of this course is to provide to the students the major tools uise di the rediciton of potektail toxic effects of chemicals.  Consequently, at the end of this course, the students will be able to :

      -  understand and describe the predictive approach based on structure-activity relationship (QSAR)

      - Use predictive softwares (Meteor and Derek) for the prediction of the metabolism and the safety of a substance from its chemical structure

      UE Content

      After a short introduction on the basic concepts in toxicology, this part of the course will focus on <em>in silico </em><em>models</em><em>, including </em>QSAR approaches, computer assisted drug design concepts (CADDs), and Bayesian-based exert systems

      Prior experience

      Not applicable

      Term 1 for Integrated Assessment - type

      • Oral examination

      Term 1 for Integrated Assessment - comments

      Not applicable

      Term 2 for Integrated Assessment - type

      • Oral Examination

      Term 2 for Integrated Assessment - comments

      Not applicable

      Term 3 for Integrated Assessment - type

      • Oral examination

      Term 3 for Integrated Assessment - comments

      Not applicable

      Resit Assessment for IT - Term 1 (B1BA1) - Comments

      Not applicable

      Type of Teaching Activity/Activities

      AA
      M-BHTO-302

      Mode of delivery

      AA
      M-BHTO-302

      Required Reading

      AA
      M-BHTO-302

      Required Learning Resources/Tools

      AA
      M-BHTO-302

      Recommended Reading

      AA
      M-BHTO-302

      Recommended Learning Resources/Tools

      AA
      M-BHTO-302

      Other Recommended Reading

      AA
      M-BHTO-302
      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
      Integrated Assessment: There will be an overall assessment for the entire Programme component (UE) instead of individual assessments for each Teaching Activity (AA)