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.