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Language of instruction
French, English
Teaching content
QUANTITATIVE METHODS
Training officer(s)
R.NESSAH
Stakeholder(s)
MATEI Iuliana
Matthieu Buisine
Stefano NASINI
Jennifer AMAR
Joseph SIANI
Matthieu Buisine
Stefano NASINI
Jennifer AMAR
Joseph SIANI
Présentation
Prerequisite
The student must have some basic notions in mathematics
Goal
At the end of the course, the student should be able to:
- model complete problems
- master the resolution techniques
- interpret the obtained results
- model complete problems
- master the resolution techniques
- interpret the obtained results
Presentation
- Introduction to modeling
- Introduction to matrix computations
- Linear programming and resolution of problems using the Excel Solver
- Manual resolution methods: Graphical method, Simplex method
- Introduction to matrix computations
- Linear programming and resolution of problems using the Excel Solver
- Manual resolution methods: Graphical method, Simplex method
Modalités
Forms of instruction
- Introduction to modeling
- Introduction aux calculs matriciels
- Programmation linéaire en nombres réels et en nombres entiers
- Méthode graphique, méthodes du simplexe
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Face to face | |||
| Interactive class | 16,00 | ||
| Independent study | |||
| Estimated personal workload | 15,00 | ||
| Individual Project | 6,00 | ||
| Overall student workload | 37,00 | ||
Evaluation
There will be three parts in the assessment for this course:
- Presence / participation note: to measure the students' involvement and interest.
- Mid-term and final exam.
- Project: realised by teams of students on a subject of their choice, which involves the writing of a report.
- Presence / participation note: to measure the students' involvement and interest.
- Mid-term and final exam.
- Project: realised by teams of students on a subject of their choice, which involves the writing of a report.
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Continuous assessment | |||
| Mid-term exam | 1,00 | 1 | 30,00 |
| Participation | 16,00 | 1 | 10,00 |
| Others | |||
| Group Project | 20,00 | 1 | 15,00 |
| Final Exam | |||
| Written exam | 2,00 | 1 | 45,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliography
Mayne Winston (2004) "Operations Research: Applications and Algorithms", 4th Edition, Brooks/Cole Cengage Learning -
Moore, J.H., L.R. Weatherford (2001) "Decision Modeling with Microsoft Excel", 6th Edition, Upper Saddle River, Prentice Hall. -
Taylor Bernard W. (2007) "Introduction to management Sicence", 9th Edition, Pearson Prentice hall -
Manuel de référence
Hamdy A. Taha (2003) "Operations Research: An Introduction", 7th Edition, Prentice Hall -Moore, J.H., L.R. Weatherford (2001) "Decision Modeling with Microsoft Excel", 6th Edition, Upper Saddle River, Prentice Hall. -
Taylor Bernard W. (2007) "Introduction to management Sicence", 9th Edition, Pearson Prentice hall -
Internet resources