Study programme 2017-2018Français
Biostatistics
Programme component of Bachelor's Degree in Biology à la Faculty of Science
CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-B3-SCBIOL-006-MCompulsory UEGROSJEAN PhilippeS807 - Ecologie numérique des milieux aquatiques
  • GROSJEAN Philippe

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français1501500331st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-BIOG-015Biostatistics1501500Q1100.00%
Programme component

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
    • Synthesise and summarise, in a critical way, information from scientific literature in different forms (textual, numerical, verbal and graphic)
  • Apply a scientific approach and critical thinking
    • Understand the statistical and/or probabilistic methods
    • 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

Learning Outcomes of UE

To be able to analyze multivariate biological data in practice. Ordination (PCA, FA) and classification (dendrogram) techniques must be perfectly mastered at the end of the course. Students learn to solve actual cases in asking precise questions from a statistical point of view. They learn to describe their data properly, to test conditions of use of the statistical techniques and to draw valid conclusions from their analyses. Presentation and reporting are also discussed, as well as, the use of powerful but free statistical software: R.

Content of UE

Multivariate statistics: PCA; factor analysis; hierarchical clustering; two-factors ANOVA; multiple regression.  

Prior Experience

Uni- and bivariate statistics, including one-way ANOVA, variance, covariance and correlation.

Type of Assessment for UE in Q1

  • Written examination

Q1 UE Assessment Comments

Written exam. Calculation by hand of a distance matrix and a dendrogram, plus a couple of exercices in multivariate statistics.

Type of Assessment for UE in Q3

  • Written examination

Q3 UE Assessment Comments

Written exam. Calculation by hand of a distance matrix and a dendrogram, plus a couple of exercices in multivariate statistics.

Type of Resit Assessment for UE in Q1 (BAB1)

  • Written examination

Q1 UE Resit Assessment Comments (BAB1)

Written exam. Calculation by hand of a distance matrix and a dendrogram, plus a couple of exercices in multivariate statistics.

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-BIOG-015
  • Cours magistraux
  • Conférences
  • Préparations, travaux, recherches d'information

Mode of delivery

AAMode of delivery
S-BIOG-015
  • Face to face

Required Reading

AA
S-BIOG-015

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-BIOG-015Not applicable

Recommended Reading

AA
S-BIOG-015

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-BIOG-015Husson, F., S. Lê & J. Pagès, 2009. Analyse de données avec R. Presses universitaires de Rennes, Rennes. 224pp. Zar, J.H., 2010. Biostatistical analysis (5th ed.). Pearson Education, London. 944pp.

Other Recommended Reading

AAOther Recommended Reading
S-BIOG-015Dagnelie, P., 1975. Analyse statistique à plusieurs variables. Presses agronomiques de Gembloux. 362pp. Greenacre, M., 2007. Correspondance analysis in practice (2nd ed.). Chapman & Hall, Boca Raton. 280pp. Legendre, P. & L. Legendre, 1998. Numerical ecology (2nd ed.). Springer Verlag, New York. 587 pp. Venables W.N. & B.D. Ripley, 2002. Modern applied statistics with S-PLUS (4th ed.). Springer, New York, 495 pp.

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-BIOG-015Authorized
(*) 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 : 11/01/2018
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Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be