2023-2024 / MATH1472-1

Descriptive statistics and data analysis


25h Th, 15h Pr, 10h Mon. WS

Number of credits

 Bachelor in mathematics5 crédits 


Arnout Van Messem

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Look at the contents of the two parts.

1) Introduction to probability

2) Descriptive statistics 

- Vizualizing data 
- Measures of central tendancy 
- Variabilty 
- Linear regression 

3)  Data analysis: Principal component analysis and/or clustering


Learning outcomes of the learning unit

Look at the learning outcomes of the two partims.

Prerequisite knowledge and skills

look at the prerequisites for each part.

Elementary mathematics, linear algebra and matrix calculus


Planned learning activities and teaching methods

Look at the information given for each part.

The learning activities are of three different types:

  • theory lectures,
  • practicals: written exercises and data analyses using the statistical software R.

Mode of delivery (face to face, distance learning, hybrid learning)

look at the information indicated in the partims.

Face-to-face course

Additional information:

Face to face 

Recommended or required readings

Look at the informations given in the partims.

Assessment methods and criteria

The final mark is a weighted mean computed on the two marks attributed to the assessments relative to the two parts of the course.
If the two separate marks are bigger than or equal to 5/20, then the weight of the result for part 1 is 20% and the weight for part 2 is 80%. However, if at least one of the two marks is below 5/20, the global mark will not exceed 9/20.

In case of absence at one part of the exam, the students will be given a mark of 0/20 for that part.

Exam(s) in session

Any session

- In-person

written exam

Additional information:

The details of the evaluation will be explained during class


Work placement(s)

Organizational remarks



See the information in the two parts of the course.

Arnout Van Messem

Assistant : Carole Baum


Association of one or more MOOCs