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