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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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Course contents :
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| In this course, the classical methods of statistical inference (sampling distributions, 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 attached to this course. These 15 hours will be divided into tutorials and practicals in the computer room of the mathematical Institute. Moreover, some other hours will be devoted to personnal research directed by an assistant. More information will be available at the start of the academic year. |
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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 second 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, interpretation of data and statistical analyses) |
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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 C. RUWET, Institut de mathématique, Bât B37, tél: 04/366-94-06, email: cruwet@ulg.ac.be |
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