Study Programmes 2015-2016
| MATH1472-2 | |||||
| Probability and Statistics I, Part 1 : Descriptive Statistics | |||||
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Duration :
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| 16h Th, 8h Pr, 8h Mon. WS | |||||
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Number of credits :
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Lecturer :
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| 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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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | |||||
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Course contents :
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| 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. |
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Learning outcomes of the course :
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| After this course, the student should be able to present data appropriately, compute appropriate parameters in order to analyse data and interpret the results. | |||||
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Prerequisite knowledge and skills :
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| basic concepts of analysis and algebra taught in secondary school. | |||||
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Planned learning activities and teaching methods :
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| 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 MyULg. The tutorials combine ex-cathedra presentation and individual work for the students. The statistical software will be taught mainly by self-learning but also during two practicals organised in the computer room of the mathematics department. |
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Mode of delivery (face-to-face ; distance-learning) :
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| The courses, the tutorials and the two practicals 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. |
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Recommended or required readings :
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| 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 MyULg) | |||||
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Assessment methods and criteria :
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| Bachelor in mathematics: look at the information written in the overall document.
Bachelor in computer sciences: the final mark is based on the marks attributed to the two following assessments (all taking place in May-June): - written exam on theory and exercises - practical exam in the computer room The computation of the final grade will be specified during the first lecture. The computation will be different whether the two separate marks are bigger or equal to 5/20 or not. In case at least one of the two marks is below 5/20, the global mark will not exceed 5/20. In case of absence at one part of the exam, the students will be given a mark of 0/20 for that part. |
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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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| The details are given above. | |||||