Study Programmes 2015-2016
STAT0003-1  
Descriptive statistics and probability concepts
Duration :
35h Th, 15h Pr
Number of credits :
Bachelor in business engineering4
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
Course contents :
The course is divided into two parts: descriptive statistics and (an introduction to) probability theory. The learning of a statisitcal software is also a part of the course.
Learning outcomes of the course :
After this course, the student should be able to represent data by means of appropriate tables and graphs, compute appropriate parameters in order to analyse data and to use correctly probability calculus.
Prerequisite knowledge and skills :
No prerequisite
Planned learning activities and teaching methods :
The course is divided into three parts:
- Theory
- Tutorials (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 NewLol@.
The tutorials combine ex-cathedra presentation and individual work for the students.
 
The statistical software will be taught mainly by self-learning using videos put on line. Some practicals during which the students could come and ask questions on the software might be organised if computer rooms are available and if the schedule of the students allows it.
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. When the lecture room will allow it, the theory lectures will be recorded by podcast. The students will then have the opportunity to visualize the recording when they want. Additional information on the self-learning sessions on the statistical software will be given to the students at the beginning of the course.
Recommended or required readings :
Notes written in French (on the theory and on the exercises) are available in the package edipaq.
Assessment methods and criteria :
The final mark is a weighted mean of the marks attributed to the two following assesments taking place in may-June:


- written exam on exercises and theory
- practical exam on computer


A document detailing the constraints to follow during the exams will be available on line as soon as the course ends. More details on the computation of the average will be given there but it is already indicated here that a very bad mark (< 5/20) at at least one part of the exam will imply a global grade below 10/20.
Work placement(s) :
Organizational remarks :
None
Contacts :
G.HAESBROECK, Institute of mathematics, Building B37, room 0/60, tel: 04/366-95-94, email: G.Haesbroeck@ulg.ac.be
M. ERNST, Institute of mathematics, Building B37, email: m.ernst@ulg.ac.be
S. AERTS, HEC-ULg, Building N1, email: stephanie.aerts@ulg.ac.be