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MBC - STATISTICS FOR CONSULTING

2017-2018

IESEG School of Management ( IÉSEG )

Code Cours :

1718-IÉSEG-MBAC1S1-QMS-MBCCE01UE

QUANTITATIVE METHODS


Niveau Année de formation Période Langue d'enseignement 
MSc in Business Analysis & Consulting1S1English
Professeur(s) responsable(s)M.BUISINE
Intervenant(s)Matthieu BUISINE


Pré requis

Basic knowledge of Excel (graphs, formulas…)
Basic statistical knowledge: scatter Plots, mean, standard deviation, linear correlation…
Reading statistical tables
Inferential Statistics: hypothesis testing, confidence interval on the mean..

Objectifs du cours

At the end of the course, the student should be able to :
Select graphs and avoid mispresentation of data
- Cross check data, identify outliers and solve missing data problems
- Collect data using surveys and sampling methods
- Understand the importance of wording and variable description
- Master basic tools: correlation, box plot, distributions, payoff tables…
- Select the relevant method: Baye's analysis, confidence intervals, parametric and non parametric tests… and be able to check assumptions (normality…)
- Analyze numerical and especially categorical data
- Master SPC/SQC: Pareto, Acceptance Sampling, Capability, Control charts, Decision Rules
- Link statistics with management methods and quality tools such as the six-Sigma
- Construct normal and standard form of an optimization problem and solve it
- Use a professional sotfware

Contenu du cours

I Basics: Probabilities, discrete and continous distributions, sampling, confidence intervals
II Hypothesis Testing: assumptions, parametric and non parametric tests, independent and paired samples, categorical data
III Decision rules and decision making: payoff tables, decision trees
IV Quality tools: SQC, Tolerance, specification, lot acceptance sampling
V Process management: SPC, Capability, control charts, decision rules
VI Optimization methods: canonical, standard form, solver, sensitivity analysis
V Multivatiate analysis: FA, PCA, DA


Modalités d'enseignement

Organisation du cours

TypeNombre d'heuresRemarques
Face to face
lecture48,00  
Tutorials8,00  
Independent work
Reference manual 's readings12,00  
Research6,00  
E-Learning12,00  
Independent study
Individual Project20,00  
Estimated personal workload40,00  
Charge de travail globale de l'étudiant146,00  

Méthodes pédagogiques

  • E-learning
  • Interactive class
  • Case study
  • Coaching


Évaluation

Assessment focusses on practical knowledge: the continuous assesment takes into account weekly case studies. The final exam is an open-book exam with a practical case.

Type de ContrôleDuréeNombrePondération
Continuous assessment
Participation48,00110,00
Final Exam
Written exam4,00160,00
Others
Case study0,00030,00
TOTAL     100,00




 
* Informations non contractuelles et pouvant être soumises à modification
 
 
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