mqahc1328  2019-2020  Charleroi

Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
6 credits
45.0 h + 10.0 h
Q1
Teacher(s)
Tossut Rosane;
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
Aims

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
 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Faculty or entity
CLSM


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Management (shift Schedule 2)

Master [120] in Management (shift schedule)

Master [60] in Management (shift schedule)