Quantitative Decision Making

Anglo-American University

Course Description

  • Course Name

    Quantitative Decision Making

  • Host University

    Anglo-American University

  • Location

    Prague, Czech Republic

  • Area of Study

    Management, Marketing

  • Language Level

    Taught In English

  • Course Level Recommendations

    Lower

    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

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    Course Description

    The course presents the quantitative methods used for making managerial decisions emphasizing the application in marketing. The course is aimed to develop critical and analytical approach to decision making, which is particularly important in the current changing, hence uncertain environment. The class points out the typical problems in decision making (drawing on behavioral economics and psychology) to emphasize the importance of analytical and conceptual approach. The class illustrates theoretical models on practical cases and problems, using computer software and applications. The topics covered include: forecasting and statistical analysis, game theory, decision analysis and decision making under uncertainty, network analysis, and introduction to linear programming.

     

    Learning Outcomes

    Upon completion of this course, students will be able to:
    – Be aware of the importance of analytical and critical approach to decision making, explain the benefits of analytical approach;
    – Demonstrate familiarity with standard problems in decision making and data interpretation;
    – Employ quantitative methods and techniques to make decisions (identify the problem, select the correct model, interpret and present results, and make the decision);
    – Work with computer applications to make decisions.

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