IT Tools and optimization - 4EUS3ITO
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Number of hours
- Lectures : 14.0
- Tutorials : -
- Laboratory works : 46.0
- Projects : -
- Internship : -
ECTS : 5.0
-
Officials : Ahmad HABLY
Goals
With the exception of the first session in which the representation of numbers in machine is addressed. The course is primarily a course on algorithms and optimization tools. The objective is to formulate an engineering problem as an optimization problem and to use existing algorithms to solve it. The course uses practical examples to illustrate the various concepts of the course.
The aim of the study is to illustrate the offices courses through realistic examples.
Content Exercises:
1 calculation error propagation in performance with a limited number of digits
2 Application exercises the conditions necessary optimality
3 Optimization of agricultural production (linear programming).
4 Optimal treatment of cancer by chemotherapy.
5 Identification of an environmental model predator / prey.
PrerequisitesM6, M7
Tests Session normale / First session
Contrôle continu / Continuous assessment (CC): 10% Bureau d'étude Optimisation + 50% note Projet informatique / 10% Optimisation Lab + 50% IT project
Contrôle terminal / Final exam (CT): épreuve écrite d'1h30 portant uniquement sur la partie optimisation / 1h30 written exam of the optimisation part
Session de rattrapage / Second session
La note obtenue remplace la note de CT / Another exam will replace the first one (CT)
Le CC n'est pas rattrapable / No retake for CC
CC 60% + CT 40%
The exam is given in english only 
Bibliography - LINEAR PROGRAMMING (Foundations and Extensions), Robert J. Vanderlei.
- A First Course in Linear Optimization, John lee.
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Date of update February 8, 2017