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Ecole nationale supérieure de l'Énergie, l'Eau et l'Environnement
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Engineering school in energy, water and environment
Our engineering & master degrees
Our engineering & master degrees

> Studies > E3-STU-COURSES

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.

Prerequisites

M6, 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 FR

Calendar

The course exists in the following branches:

see the course schedule for 2020-2021

Additional Information

Course ID : 4EUS3ITO
Course language(s): FR

You can find this course among all other courses.

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

Université Grenoble Alpes