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| STAT0003-1 | Descriptive statistics and probability concepts
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| Duration : | 40h Th, 15h Pr |
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| Number of credits : |
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| Lecturer : | Gentiane Haesbroeck |
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Language(s) of instruction :
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| French language |
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Organisation and examination :
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| Teaching in the second semester |
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Course contents :
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| 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. |
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Learning outcomes of the course :
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| After this course, the student should be able to compute appropriate parameters in order to analyse data and to use correctly probability calculus. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| No prerequisite |
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Planned learning activities and teaching methods :
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| The course is divided into three parts:
- Theory
- Tutorials (exercises)
- Practicals (software R)
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 software R will be taught mainly by self-learning. Some practicals might be organised if computer rooms are available and if the schedule of the students allows it. |
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Mode of delivery (face-to-face ; distance-learning) :
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| The courses and the tutorials are given over the second semester according to a timetable distributed to the students in the beginning of the academic year. Additional information on the self-learning sessions on R will be given to the students at the beginning of the course. |
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Recommended or required readings :
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| Notes written in French (on the theory and on the exercises) are available in the package edipaq. |
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Assessment methods and criteria :
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| 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
In case of absence at at least one part of the exam, the final grade will be set at 'Absent'. |
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Work placement(s) :
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Organizational remarks :
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| None |
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Contacts :
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| 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 |
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