2017-2018 / MATH1472-2

Probability and Statistics I, Part 1 : Descriptive Statistics

Duration

16h Th, 8h Pr, 8h Mon. WS

Number of credits

 Bachelor in computer science3 crédits 

Lecturer

Gentiane Haesbroeck

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Basic concepts of descriptive statistics are taught in this course. More precisely, here follows the content of the course:
- Statistical tables and graphics
- Summary statistics (central tendency, dispersion and shape)
- Correlation analysis and linear regression
The learning of a statistical software is also included in the material of the course.

Learning outcomes of the learning unit

After this course, the student should be able to present data appropriately, compute appropriate parameters in order to analyse data and interpret the results.

Prerequisite knowledge and skills

basic concepts of analysis and algebra taught in secondary school.

Planned learning activities and teaching methods

The course is divided into three parts:
- Theory
- Exercises
- Learning of a statistical software
  The type of teaching for the theory part is ex-cathedra. The professor uses beamer projections or writes on the black boards. When slides are used, these will be available in advance on eCampus.
The tutorials combine ex-cathedra presentation and individual work for the students. It is recommended to check the good knowledge of the content of the course via the on-line QCMs.
The statistical software will be taught differently in the two groups:
In Bachelor of mathematics:
Two practicals organised in the computer room of the mathematics department will be organised in order for the students to get the bacis of the statistical software.
In Bachelier of computer sciences:
The statistical software will be taught by means of an auto-learning process using documents on-line on eCampus.

Mode of delivery (face-to-face ; distance-learning)

The courses and the tutorials are given face-to-face over the second semester according to a timetable distributed to the students in the beginning of the academic year.
The theory lectures are recorded by means of the podcast equipment installed in the lecture room. The students may visualize these recordings when they want.

Recommended or required readings

Notes written in French (on the theory and on the exercises) will be sold to the students at the start of the academic year. These notes will also be available on line (via eCampus)

Assessment methods and criteria

Bachelor in mathematics: look at the information given for the global course.

Bachelor in computer sciences: the final mark is a weighted mean based on the marks attributed to the two following assessments :
- written exam on theory, exercises and interpretation of software outputs
- practical exam in the computer room
The details of the computation of the final grade will be specified at the end of the course. In case of a partial mark below 5/20, the global mark will not exceed 9/20.

Work placement(s)

Organizational remarks

None

Contacts

The details are given above.