Actualités et agenda
Nos formations
Établissement
Langue d'enseignement
English
Matières
OPERATIONS MANAGEMENT
Ce cours apparaît dans les formation(s) suivante(s)
Diplôme IÉSEG (Bac +5) Programme Grande École
- Crédits ECTS: 2.00
Responsable(s)
Y.TÜTÜNCÜ
Intervenant(s)
Yazgi TÜTÜNCÜ
Présentation
Prérequis
It is essential that students have a background on Research Methodology.
Objectifs
At the end of the course, the student should be able to :
- prepare essential materials for Business Performance analysis using Excel.(AOL-3A) (AOL-1C).
- improve some skills and tools for analyzing data appear in various fields of management.(AOL-5B)
- realise the concept of decision making in an uncertain environment.(AOL-6B)
- understand the importance of describing data and summarizing descriptive relationships.
- define the descriptive Measures of central tendency and variability in data.(AOL-3A)
- use the general principles for analyzing data such as sampling, unbiasedness, estimation with confidence intervals and Tests of Hypothesis using MS Excel.(AOL-3A)
- prepare essential materials for Business Performance analysis using Excel.(AOL-3A) (AOL-1C).
- improve some skills and tools for analyzing data appear in various fields of management.(AOL-5B)
- realise the concept of decision making in an uncertain environment.(AOL-6B)
- understand the importance of describing data and summarizing descriptive relationships.
- define the descriptive Measures of central tendency and variability in data.(AOL-3A)
- use the general principles for analyzing data such as sampling, unbiasedness, estimation with confidence intervals and Tests of Hypothesis using MS Excel.(AOL-3A)
Présentation
1. Concept of decision making in an uncertain business environment. Importance of data-driven business performance analysis.
2. Business Analytics and Data Visualization using Excel.
3 .General principles for analyzing data: Pivot tables and hypothesis testing using Excel.
4. General principles for analyzing data: Estimation with confidence intervals and Tests of Hypothesis using Excel..
5. Simple Linear Regression and Multiple Regression and model building using Excel.
6. Categorical Data analysis using Excel and interpretting results.
2. Business Analytics and Data Visualization using Excel.
3 .General principles for analyzing data: Pivot tables and hypothesis testing using Excel.
4. General principles for analyzing data: Estimation with confidence intervals and Tests of Hypothesis using Excel..
5. Simple Linear Regression and Multiple Regression and model building using Excel.
6. Categorical Data analysis using Excel and interpretting results.
Modalités
Organisation
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours interactif | 16,00 | ||
| Autoformation | |||
| Recherche | 4,00 | ||
| Travail personnel | |||
| Group Project | 10,00 | ||
| Charge de travail personnel indicative | 35,00 | ||
| Overall student workload | 65,00 | ||
Évaluation
Students will learn how to use Excel in their dissertations and daily basis assesment will be done accordingly.
They will prepare a team project and they will be assess by a final exam.
They will prepare a team project and they will be assess by a final exam.
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Contrôle continu | |||
| Participation | 4,00 | 4 | 20,00 |
| Examen (final) | |||
| Examen écrit | 2,00 | 1 | 40,00 |
| Autres | |||
| Projet Collectif | 34,00 | 1 | 40,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliographie
“Statistics for Business and Economics” by P. Newbold, W.L. Carlson, B. Thorne, Prentice Hal -
Lecture notes and MS excel user guide
Ressources Internet