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Sciences de la décision

  • Teacher(s):   G.Stauffer  
  • English title: Decision Science
  • Course given in: French
  • ECTS Credits: 6 credits
  • Schedule: Autumn Semester 2022-2023, 4.0h. course + 2.0h exercices (weekly average)
  •  sessions
  • site web du cours course website
  • Related programmes:
    Bachelor of Science (BSc) in Management

    Bachelor of Science (BSc) in Economics

    Bachelor (BSc) in Economic Sciences
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Objectives

Expose students to the fundamental tools of quantitative decision making and their potential and limitations in addressing challenging management problems. Emphasis is placed on the application of methods rather than on theoretical aspects.

Contents

Linear and Integer Programming. Decision Trees. Simulation


Software: Excel, GMPL, Silverdecision, Anylogic

References

An Introduction to Management Science: Quantitative Approaches to Decision Making,sixteenth Edition. David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

Pre-requisites

First year bachelor mathematics and statistics courses.

Term project

- Type of project : Without individual project
- Maximum number of projects admitted for this course : 0
- Deadline for applying to course professor for project : N/A
- Deadline for submitting finished project : N/A
- Method of evaluation (including resit options) : N/A
- Other information :-

Evaluation

First attempt

Exam:
Written 2 hours
Documentation:
Allowed
Calculator:
Allowed
Evaluation:

The written exam is a face-to-face digital exam (ENEP). The grade for this course is composed of:

Integrative exam (ENEP): 100%.

The exam is composed of multiple choice questions.

Retake

Exam:
Written 2 hours
Documentation:
Allowed
Calculator:
Allowed
Evaluation:

The written exam is a face-to-face digital exam (ENEP). The grade for this course is composed of:

Integrative exam (ENEP): 100%.

The exam is composed of multiple choice questions.



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