Duration
34h Th, 16h Pr
Number of credits
| Bachelor in business engineering | 5 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 focuses mainly on a reminder of the concepts of descriptive statistics taught in secondary school, together with some additional extensions (unit area histogram, computation of quantiles...). Some new concepts useful in management are also introduced while 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 of three different types:
1) Attendance to lectures for the theory and exercises
2) Self-learnig of the basics of the statistical software via ressources put on line
3) Multiple questions on line in order to check the comprehension of the basics and properties.
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning
Further information:
Blended learning
Additional information:
The theory lectures and the tutorials are delivered in a face-to-face way and, when the lecture room will allow it and the content of the lecture is ex-cathedra, they will be recorded by podcast. The students will then have the opportunity to visualize the recording when they want.
The self-learning of the statistical software will be performed at home but the students will have the opportunity to get help during one or two Q/A sessions organised during the semester.
Each week, the students will be invited to answer some Multiple choice questions on line.
Course materials and recommended or required readings
Platform(s) used for course materials:
- LOL@
Further information:
Notes written in French (on the theory), the statements of the exercises and the videos are available on line (LOL@).
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Continuous assessment
Further information:
See the explanations given in French.
Work placement(s)
Organisational remarks and main changes to the course
The organisaiton will be explained at the first lecture and detailled on LOLa.
Contacts
G.HAESBROECK, Institute of mathematics, Building B37, room 0/60, tel: 04/366-95-94,
email: G.Haesbroeck@uliege.be