QUANTITATIVE METHODS

Code Cours
2324-IÉSEG-MAC1S1-QMS-MACCE01UE
Language of instruction
English
Teaching content
QUANTITATIVE METHODS
Training officer(s)
J.SIANI
Stakeholder(s)
J.SIANI
Level
MSc in Accounting, Audit and Control
Program year
Period

Présentation

Prerequisite
No special preprequisites apply.
Goal
- Solve professional dilemmas using concepts of CSR and ethics
- Breakdown complex organizational problems using the appropriate methodology
- Construct expert knowledge from cutting-edge information
- Make effectual organizational decisions
Presentation
Topic 1. Probability concepts (unconditional and conditional probabilities, Bayes' formula)
Topic 2. Probability distributions and descriptive statistics (mean, standard deviation, skewness, kurtosis).
Topic 3. Application of probability distributions: simulation analysis (Monte Carlo simulation).
Topic 4. Sampling and estimation.
Topic 5. Hypothesis testing.

Modalités

Organization
Type Amount of time Comment
Présentiel
Cours interactif 16,00
Autoformation
Lecture du manuel de référence 10,00
Travail personnel
Group Project 8,00
Individual Project 8,00
Charge de travail personnel indicative 8,00
Overall student workload 50,00
Evaluation
The course assessment is based on five equally-weighted home assignments (individual and group projects) and a final exam accounting for 40% of the final grade.
Control type Duration Amount Weighting
Examen (final)
Examen écrit 2,00 1 40,00
Autres
Projet Collectif 0,00 1 40,00
Rapport écrit 0,00 2 20,00
TOTAL 100,00

Ressources

Bibliography
Richard A. DeFusco, CFA, Dennis W. McLeavey, Jerald E. Pinto, David E. Runkle, CFA. Quantitative Investment Analysis (2011). John Wiley & Sons, 2nd edition. 600p. -