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QUANTITATIVE METHODS ANS DATA ANALYSIS

2023-2024

EnIESEG School of Management ( IÉSEG )

Class code :

2324-IÉSEG-MFM1S1-QMS-MFMCI01UE

QUANTITATIVE METHODS


Level Year Period Language of instruction 
MSc in Fashion Management1S1EnEnglish
Academic responsibilityM.VARDANYAN
Lecturer(s)Mikayel VARDANYAN


Prerequisites

Working knowledge of algebra

Learning outcomes

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

Course description

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


Class type

Class structure

Type of courseNumbers of hoursComments
Independent study
Estimated personal workload5,00  
Group Project10,00  
Independent work
Reference manual 's readings5,00  
Research5,00  
E-Learning9,00  
Face to face
Interactive class16,00  
Total student workload50,00  

Teaching methods

  • Coaching
  • Interactive class
  • Project work


Assessment

Group Project

Type of controlDurationNumberPercentage break-down
Others
Group Project0,00190,00
Continuous assessment
Participation16,00110,00
TOTAL     100,00


Internet resources



 
* This information is non-binding and can be subject to change
 
 
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