Duration
35h Th, 15h Pr
Number of credits
| Bachelor in business engineering | 4 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course starts with a reminder of the concepts of descriptive statistics taught in secondary school, together with some additional extensions (unit area histogram, computation of quantiles...). Then, some mathematical properties of the parameters and techniques will be developed. Finally, the course ends with an introduction to probability theory. The learning of a statisitcal software is also a part of the course.
Learning outcomes of the learning unit
After this course, the student should be able to represent data by means of appropriate tables and graphs, compute appropriate parameters (taking into account, for example, the dissymetry of the data) in order to analyse data and to use correctly probability calculus.
More globally, the student will need to demonstrate a critical mind and scientific precision in the analysis of statistical information and should be able to use the appropriate analytical tools for the description of data.
Prerequisite knowledge and skills
No prerequisite
Planned learning activities and teaching methods
The learning activities are diverse
1) Attendance to ex-cathedra lectures for the theory;
2) Learnig of the basics of the statistical software via the listening of videos on Lol@
3) Data analysis and discussion in small groups
4) Exercises
5) Multiple questions on line in order to check the comprehension of the basics and properties.
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) are available in university shop.
Assessment methods and criteria
The final mark is a weighted mean of the marks attributed to the following assesments
- written exam on theory and basic exercises (multiple choice questions)
- written exam on exercises and data analysis with access to the statistical software
- cumulative results of the 10 on-line tests (any undone test leads to the result 0/5 for that particular test)
Additional information will be given at the beginning of the course and will be repeated in a final document detailing the constraints to follow during the exams. However, it is already indicated here that a very bad mark (below 5/20) in at least one theme of the course (descriptive statistics - probability - statistical software) will imply a global grade below 10/20.
Work placement(s)
Organizational remarks
The organisation of the course during this academic year 2019-2020 is new, as well as the evaluation procedure. The students who start again the course are invited to pay attention to the new rules!
Contacts
G.HAESBROECK, Institute of mathematics, Building B37, room 0/60, tel: 04/366-95-94,
email: G.Haesbroeck@ulg.ac.be
S. KLENKENBERG,, Institute of mathematics, Building B37, email: s.klenkenberg@uliege.be
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Following the decision of ULiège to organise the teaching on-line, the organisation of the lectures and practicals has been adapted as follows:
- Lectures on theory: videos recorded by the professor have been put on line onLOL@. A forum has been activated on LOL@ in order for the professor to answer the questions of the students, directly during the time slot of the lecture,
- As far as the practical are concerned, the exercise sheets were made available before the time slot of the practical and a forum has been activated in order to answer questions on the spot. A written correction is put on LOL@ at the end of the practical, together with a video explaining the main elements.
Assessment subjects
The content of the evaluation has been specified in a document put on line on LOL@. It has been explained that the evaluation of theory will be different as a simple restitution would not be sensible in the context of a distance exam (open-book exam).
It is also mentioned here (as it will be done in the last video on probability) that the decision tree will not be taught this year.
Assessment methods
Information has been put on line in the Exam file on LOL@ but here are the main elements:
The exam (2h), taking place on the day planned in the official schedule (on eCampus!!!!), will consist in two parts:
- On-line questionnaire (MCQ and open questions) on theory (25 points; 15 points for statistics and 10 points of probability)
- On-line questionnaire (MCQ and open questions) on exercises (35 points; 15 points on statistics and 20 points of probability)
In complement, the assessment takes into account the two following items: E
- Personal Project of data analysis (including with SAS); project that should be done at home between the 24th of April and the 7th of May (35 points)
- On-line MCQ realised during the semester (5 points)
Information on the computation of the final grade are given on the document on line on LOL@.
Contacts
G. Haesbroeck