5.00 credits
45.0 h + 10.0 h
Q1
Teacher(s)
Strack Géraldine;
Language
French
Main themes
Mathematical models for management, derivatives and
integrals, optimization with one and two variables, matrix
calculus, probability distributions, point estimates and
confidence intervals, hypothesis testing
integrals, optimization with one and two variables, matrix
calculus, probability distributions, point estimates and
confidence intervals, hypothesis testing
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1 | Explain and exploit the probability model of a population Use adequately notions of mathematics to modelize and solve problems Formalize problems and develop their resolution Solve optimization problems Describe economic functions and represent them in a graphical way Describe statistical distributions using appropriate parameters Construct confidence intervals for statistical parameters Formulate and test statistical hypotheses Interpret mathematical and statistical parameters and results |
Bibliography
- ANDERSON D., SWEENEY D., WILLIAMS T. (2015), Statistiques pour l’économie et la gestion, De Boeck.
- SYDSAETER K., HAMMOND P., STROM A. (2020), Mathématiques pour l'économie, Pearson.
- SYDSAETER K., HAMMOND P., STROM A. (2020), Mathématiques pour l'économie, Pearson.
Faculty or entity
CLSM