Study programme 2015 - 2016
Programme component of Bachelor's Degree in Medicine à la Faculty of Medicine and Pharmacy
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UM-B1-MEDECI-005-MCompulsory UELELUBRE ChristopheM101 - FMP - Service du Doyen
    Language
    of instruction
    Language
    of assessment
    HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
      Français0000022
      AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
      M-DOYM-051100%

      Objectives of general skills

      • Describe, organise, analyse and prioritise the phenomena observed in the medical field
        • Understand the expression of biological realities in absolute or relative terms, the orders of magnitude, proportions and probability
        • Understand and use different graphical representations of numerical values and their relationships
      • Develop reasoning skills
        • Understand and apply the basic principles of reasoning (obtaining data, analysis, synthesis, comparison, the rule of three, syllogism, analogy, Boolean logic, etc.)
        • Understand and apply Bayesian inference
        • Manage doubt and uncertainty
      • Manage their studies
        • Read, interpret, and critique a scientific article

      UE's Learning outcomes

      <u>Learning outcomes</u> Learning outcomes include : - Understanding main tools used in descriptive statistics and know how to use them practically - Being able to interpret graphical outputs such as box plots - Understand basic principles and compute correlation coefficients (Pearson) and linear regression - Being able to compute confidence intervals and understand their meaning - Understand basis of inferential statistics which is a fundamental prerequisite before taking statistics course in BA2.

      UE Content

      Definition and aims of biostatistics. Variability in medicine. Types of variables. Univariate descriptive statistics (localisation and dispersion parameters) and graphical output.Bivariate descriptive statistics (linear correlation and simple linear regression) Frequency and probability of event. Elements of combinatorics. Random variable (discrete and continuous). Probability density function. Central limit theorem. Binomial and Poisson laws. Normal and Z law. Use of statistical tables. Confidence interval for means and percentages.

      Prior experience

      Sans objet

      Term 1 for Integrated Assessment - type

      • N/A

      Term 2 for Integrated Assessment - type

      • Written examination

      Term 3 for Integrated Assessment - type

      • Written examination

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

      • N/A

      Type of Teaching Activity/Activities

      AA
      M-DOYM-051

      Mode of delivery

      AA
      M-DOYM-051

      Required Reading

      AA
      M-DOYM-051

      Required Learning Resources/Tools

      AA
      M-DOYM-051

      Recommended Reading

      AA
      M-DOYM-051

      Recommended Learning Resources/Tools

      AA
      M-DOYM-051

      Other Recommended Reading

      AA
      M-DOYM-051

      Term 1 Assessment - type

      AA
      M-DOYM-051

      Term 1 Assessment - comments

      AA
      M-DOYM-051

      Resit Assessment - Term 1 (B1BA1) - type

      AA
      M-DOYM-051

      Resit Assessment - Term 1 (B1BA1) - Comments

      AA
      M-DOYM-051

      Term 2 Assessment - type

      AA
      M-DOYM-051

      Term 2 Assessment - comments

      AA
      M-DOYM-051

      Term 3 Assessment - type

      AA
      M-DOYM-051

      Term 3 Assessment - comments

      AA
      M-DOYM-051
      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