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QUANTITATIVE METHODS

2023-2024

EnIESEG School of Management ( IÉSEG )

Class code :

2324-IÉSEG-MAC1S1-QMS-MACCE01UE

QUANTITATIVE METHODS


Level Year Period Language of instruction 
MSc in Accounting, Audit and Control1S1EnEnglish
Academic responsibilityJ.SIANI
Lecturer(s)J.SIANI


Prerequisites

No special preprequisites apply.

Learning outcomes

- 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

Course description

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.


Class type

Class structure

Type of courseNumbers of hoursComments
Independent study
Estimated personal workload8,00  
Group Project8,00  
Individual Project8,00  
Independent work
Reference manual 's readings10,00  
Face to face
Interactive class16,00  
Total student workload50,00  

Teaching methods

  • E-learning
  • Interactive class
  • Project work


Assessment

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.

Type of controlDurationNumberPercentage break-down
Others
Group Project0,00140,00
Written Report0,00220,00
Final Exam
Written exam2,00140,00
TOTAL     100,00

Recommended reading

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




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