Study programme 2020-2021Français
Analyse des données de la recherche en sciences biomédicales
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
Teacher(s)
UM-B3-BIOMED-023-MCompulsory UECONOTTE RaphaelM101 - FMP - Service du Doyen
  • CONOTTE Raphael

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français02000022.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
M-DOYM-302Analyse des données de la recherche - Exercices de statistiques020000Q2100.00%
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
    • Work in a team
    • 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 be able to analyze biomedical research data :  
- Inference
- linear models

To describe the data properly, and to test conditions of use of the statistical techniques.

To draw valid conclusions from their analyses

To present results clearly and adequately in a scientific report.

To be able to analyze correctly usual biological data in practice.

Use of professional software in data analysis: 
- R, 
- RStudio, 
- R Markdown
- git
 

Content of UE

The content of this EU is as follows: 
- Experimental design 
- Chi-2 test
- Confidence interval/Student test
- Analysis of variance
- Correlations
- Linear model

Prior Experience

Have completed the following course :
Introduction aux statistiques biomédicales (UM-B2-BIOMED-015-M)
Introduction à l'analyse des données de la recherche (UM-B2-BIOMED-023-M)
Notions de statistique médicale (UM-B3-BIOMED-020-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
M-DOYM-302
  • Exercices dirigés
  • Utilisation de logiciels

Mode of delivery

AAMode of delivery
M-DOYM-302
  • Face to face
  • Mixed

Required Reading

AA
M-DOYM-302

Required Learning Resources/Tools

AARequired Learning Resources/Tools
M-DOYM-302Not applicable

Recommended Reading

AA
M-DOYM-302

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
M-DOYM-302Not applicable

Other Recommended Reading

AAOther Recommended Reading
M-DOYM-302Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
M-DOYM-302Authorized
(*) 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
Courriel: info.mons@umons.ac.be