Management Decision Analytics

The American Business School Paris

Course Description

  • Course Name

    Management Decision Analytics

  • Host University

    The American Business School Paris

  • Location

    Paris, France

  • Area of Study

    Business Management, Management Science

  • Language Level

    Taught In English

  • Prerequisites

    MATH 210 - Busines Statistics

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • US Credits

    3
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    COURSE DESCRIPTION :
    The purpose of the course is to enable the students to use quantitative approaches in practical business decision-making. During the course, the students will learn how a modeling process may help them to structure decision situations, and to improve his/her decision-making skills. It is hoped that the students will be familiar with the basic concepts of Decision Analysis, Project Scheduling, and Linear Programming, and should be able to use a modeling approach to improve decision-making processes.

    COURSE OBJECTIVES:
    It is hoped that the students will be familiar with the basic concepts of Decision Analysis, Project Scheduling, and Linear Programming, and should be able to use a modeling approach to improve decision-making processes.
    The emphasis of the course will be placed on the ability to
    - Structure a decision-making process.
    - Formulate a model of the situation.
    - Solve the model, using a computer.
    - Interpret the results.

    EXPECTED LEARNING OUTCOMES:
    Upon completion of this course, students should be able to:
    - Define Management Science / Operations Research and its application fields.
    - Use decision analysis criteria in situations where uncertainty is dominant and use decision trees when modeling sequential decisions under risk.
    - Understand and use the notions of critical activities, earliest and latest times, as well as slack, in the context of the management of a project and understand the usefulness of a project management software system.
    - Identify and formulate a linear programming problem. Solve a linear program, using a spreadsheet program such as Microsoft Excel, and interpret the results.

Course Disclaimer

Courses and course hours of instruction are subject to change.