Duration
30h Th, 15h Pr
Number of credits
| Master in law, professional focus in economic and social law (Droit économique et social, mineure gestion) | 5 crédits | |||
| Extra courses intended for exchange students (Erasmus, ...) | 5 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Descriptive statistics: presenting data in charts and tables; numerical descriptive measures; bivariate case (measures of relationships between variables)
Probability theory: probability; random variables and distributions; bivariate case; function of r.v.
Statistical Inference: principles of inferential statistics; confidence intervals; hypothesis testing
Learning outcomes of the learning unit
According to the intended learning outcomes of the programm, i.e. "use adequately the statistics in the context of the management", after this course, the student
- will learn the basics necessary for the proper understanding and the proper use of statistics in various areas (management, market research, finance, ...).
- will be able to appeal to the theories described in the contents above to analyze data to determine the analytical tools that are suitable for this analysis and will be able to adequately draw and formulate conclusions arising from this analysis.
Prerequisite knowledge and skills
- Basic algebra: order of operations, fractions, distributive property, use of parentheses, remarkable products, use of summation symbol
- Function of variables: knowing how to graph linear functions, use of the correct vocabulary (abscissa, ordinate, sloped,...)
Planned learning activities and teaching methods
The sessions are mainly based on the presentation of the theoretical frame by the teacher and the practice of exercices and applications by the students. The teacher expects the students to actively participate during the sessions, for instance via Wooclap or other surveys.
The teacher uses Excel and Geogebra to provide illustrations of several concepts of the course. Students are invited to learn to use those softwares, but this learning is not assessed.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Ex-cathedra sessions where the presentation of theoretical concepts and the resolution of exercises by the students will be mixed.
Course materials and recommended or required readings
Slides per chapter available on lola and a syllabus with additional exercises.
References used to write down the notes
- [1] Catherine Dehon, Jean-Jacques Droesbeke, and Catherine Vermandele. Eléments de statistique : 6e édition revue et augmentée. Editions de l'Université de Bruxelles/Editions Ellipses, 2015.
- [2] Gentiane Haesbroeck. Probabilité et statistique I, 2007. Course notes at Sciences Faculty, University of Liege.
- [3] Bernard Lejeune. Probabilités et inférence statistique, 2005. Course notes at HEC- Liege.
- [4] Brigitte Tribout. Statistique pour économistes et gestionnaires. Pearson Education France, 2013.
- [5]Newbold, P., Carlson, W. L., & Thorne, B. M. (2013). Statistics for business and economics (Global ed. ed.). Harlow: Pearson.
- [6] Levine David M, Krehbiel Timothy C, & Berenson Mark L. (2001). Business Statistics: a First Course (5th edition).
Exam(s) in session
Any session
- In-person
written exam
Further information:
Any session :
- In-person
written exam
- Remote
written exam
- If evaluation in "hybrid"
preferred in-person
Additional information:
Only a calculating machine, not graphical, non-programmable permitted.
In case of online exam imposed by sanitary reason : written exam with open-ended questions
Work placement(s)
Organisational remarks and main changes to the course
The course is taught in English.
Lessons will not be recorded.
Contacts
Professor
Siamak Khayyati
HEC- Management School of the University of Liege
e-mail : s.khayyati@uliege.be
Office: N1 - 330
Teaching Assistant
Emeline Leloup
HEC- Management School of the University of Liege
e-mail: emeline.leloup@uliege.be
Office: N1 - 310