Study programme 2020-2021Français
Introduction à l'analyse des données de la recherche
Programme component of Bachelor's in Biomedical Sciences à la Faculty of Medicine and Pharmacy

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
UM-B2-BIOMED-023-MCompulsory UECONOTTE RaphaelM101 - FMP - Service du Doyen
  • CONOTTE Raphael

of instruction
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français01000011.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
M-CTPH-202Introduction à l'analyse des données de la recherche010000Q2100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Understand, describe, analyse and prioritise biological phenomena
    • Understand and use different graphical representations of numerical values and their relationships
  • Control the molecular, morphological and functional approaches of normal and pathological conditions
    • Understand experimental protocols in the biomedical domain
    • Integrate concepts from different approaches/disciplines in a complex biomedical problem
  • 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 the statistical and/or epidemiological 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
  • Demonstrate developed interpersonal skills
    • Summarise, explain, and argue
    • Share knowledge and information
    • Submit reviews, reports and give oral presentations
  • Manage resources
    • Manage time
    • Use basic IT and bibliographic resources.
  • Manage their studies
    • Locate scientific information efficiently
    • Be open to research and demonstrate scientific curiosity

Learning Outcomes of UE

To master the software and statistical tools necessary for the analysis of research data, in particular: 
- importing or encoding data
- data management and transformation
- data visualization

To present the results of these analyses clearly and rigorously in a scientific report in a reproducible manner. 

To be able to analyse data from research that is usual in practice.

Content of UE

The content of this EU is as follows: 
- Introduction to R software, RStudio 
- Introduction to the Markdown and R languages
- Data visualization (Histogram, density graph, violin graph, bar graph, scatterplot, boxplot)
- Data import and transformation 

Prior Experience

Have completed the following course :
Introduction aux statistiques biomédicales (UM-B2-BIOMED-015-M)

Type of Assessment for UE in Q2

  • Presentation and/or works
  • Written examination
  • Practical test
  • Graded tests
  • eTest

Q2 UE Assessment Comments

Final grade made of different parts:
- E-testing
- Data Analysis Report
- Work realizations
- Exam 

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Written examination
  • Practical Test
  • Graded tests
  • eTest

Q3 UE Assessment Comments

Final grade made of different parts:
- E-testing
- Data Analysis Report
- Work realizations
- Exam 

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
  • Projet sur ordinateur
  • Etudes de cas

Mode of delivery

AAMode of delivery
  • Face to face
  • Mixed

Required Reading


Required Learning Resources/Tools

AARequired Learning Resources/Tools
M-CTPH-202Not applicable

Recommended Reading


Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
M-CTPH-202Not applicable

Other Recommended Reading

AAOther Recommended Reading
M-CTPH-202Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
(*) 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
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111