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| MATH0474-1 | Probability and statistics III
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| Duration : | 25h Th, 15h Pr, 10h Mon. WS |
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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 first semester, review in January |
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Course contents :
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| In this course, the classical methods of statistical inference (estimation, confidence intervals, hypothesis testing) are developed in details. |
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Learning outcomes of the course :
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| After this course, the students should be able to estimate unknown parameters, to derive confidence regions and take decisions based on the result of statistical testing. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Probability and descriptive statistics |
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Planned learning activities and teaching methods :
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| There are 15 hours of practicals and 10h of TD attached to this course. These hours will be divided into tutorials, practicals in the computer room of the mathematical Institute and personal assignments. |
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Mode of delivery (face-to-face ; distance-learning) :
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| The courses and the tutorials/practicals are given over the first semester according to a timetable distributed to the students in the beginning of the academic year. |
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Recommended or required readings :
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| Notes (on the theory and on the exercises) will be sold to the students at the beginning of the academic year. |
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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 three following assesments (organised during the examen session of May-June):
-written exam on exercises
- oral exam on theory
- exam in the computer room (use of R) |
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Work placement(s) :
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Organizational remarks :
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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, Institut de mathématique, Bât B37, tél: 04/366-94-02, email: M.Ernst@ulg.ac.be(cruwet@ulg.ac.be) |
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