Objectives of Programme's Learning Outcomes

• Acquire, understand and use knowledge in the fields of biology and other fields
• Understand and use mathematical tools and basic statistics to describe and understand biological concepts
• Solve issues relevant to biology
• Analyse and interpret, in an appropriate way, biological data collected in natura, through dissection or based on an experimental protocol in the laboratory
• Apply a scientific approach and critical thinking
• Understand and apply the basic principles of reasoning (obtaining data, analysis, synthesis, comparison, rule of three, syllogism, analogy, etc.)
• Understand the statistical and/or probabilistic methods
• Work with efficiency / accuracy / precision
• Present a hypothesis and hypothetical-deductive reasoning
• Develop critical thinking, test and monitor conclusions understanding the domain of validity, and explore alternative hypotheses
• Manage doubt and uncertainty
• Communicate effectively and appropriately in French and English
• Communicate in French, orally and in writing, the results of experiments and observations by constructing and using graphs and tables

Learning Outcomes of UE

To be able to analyse correctly usual biological data in practice. This implies to master basic concepts in statistic and probability and to develop a potential to analyse a problem and to reformulate it in « statistical language », to apply statistical tools using a computer, and finally, to present results clearly and adequately in a scientific report.

Content of UE

Descriptive statistics; Mean; Median; Standard deviation; Variance; Q-Q plot; Boxplot; Histogram; Statistical population; Sampling; Inference; Probabilities; Statistic distribution; Central limit theorem; Confidence interval; Hypothesis test; Parametric and non parametric tests; Simple linear regression; Binomial, Poisson, Chi-2, Normal, Student t and F distributions; Student t-test; One factor ANOVA; Wilkoxon-Mann-Withney test, Kruskal-Wallis test; Correlation; Pearson; Spearman; R software.

Prior Experience

Bases in calculus, including logarithm and exponential, cartesian coordinate system and elementrary geometry in 2D and 3D.

Type of Assessment for UE in Q1

• Written examination
• Quoted exercices

Q1 UE Assessment Comments

Test made of 20 questions all over the course for the theory. Timing: 2h, with pocket calculator. Evaluation of one of the reports made during the exercices for 2/3 of the T.P. evaluation note, plus a question about practical use of the software for 1/3 of the T.P. evaluation note. Final note is the arithmetic mean of thetheory and T.P. notes.

Type of Assessment for UE in Q3

• Written examination
• Quoted exercices

Q3 UE Assessment Comments

Test made of 20 questions all over the course for the theory. Timing: 2h, with pocket calculator. Evaluation of one of the reports made during the exercices for 2/3 of the T.P. evaluation note, plus a question about practical use of the software for 1/3 of the T.P. evaluation note. Final note is the arithmetic mean of thetheory and T.P. notes.

Type of Resit Assessment for UE in Q1 (BAB1)

• Written examination
• Quoted exercices

Q1 UE Resit Assessment Comments (BAB1)

Test made of 20 questions all over the course for the theory. Timing: 2h, with pocket calculator. Evaluation of one of the reports made during the exercices for 2/3 of the T.P. evaluation note, plus a question about practical use of the software for 1/3 of the T.P. evaluation note. Final note is the arithmetic mean of thetheory and T.P. notes.