QUANTITATIVE METHODS ANS DATA ANALYSIS

Code Cours
2324-IÉSEG-MFM1S1-QMS-MFMCI01UE
Langue d'enseignement
English
Matières
QUANTITATIVE METHODS
Responsable(s)
M.VARDANYAN
Intervenant(s)
Mikayel VARDANYAN
Niveau
-
Année de formation
Période

Présentation

Prérequis
Working knowledge of algebra
Objectifs
2.B Solve professional dilemmas using concepts of CSR and ethics
3.A Breakdown complex organizational problems using the appropriate methodology
5.B Construct expert knowledge from cutting-edge information (AACSB grade)
5.D Make effectual organizational decisions (AACSB grade)
Quantify relationships among various economic/business variables
Interpret estimation results and make predictions
Use statistical theory to test the reliability of results
Mitigate common problems that arise during econometric estimation
Présentation
Regression analysis using Ordinary Least Squares
Using Excel to estimate regressions
Assessing the quality of estimation results
Making predictions about future outcomes
Modeling using alternative functional forms
Interpretation of estimation results
Hypothesis testing
Dealing with the problem of multicollinearity

Modalités

Organisation
Type Amount of time Comment
Présentiel
Cours interactif 16,00
Autoformation
Recherche 5,00
Lecture du manuel de référence 5,00
E-Learning 9,00
Travail personnel
Group Project 10,00
Charge de travail personnel indicative 5,00
Overall student workload 50,00
Évaluation
Group Project
Control type Duration Amount Weighting
Autres
Projet Collectif 0,00 1 90,00
Contrôle continu
Participation 16,00 1 10,00
TOTAL 100,00

Ressources

Ressources Internet