This course aims to provide a survey of quantitative techniques commonly used to provide insight into business and management decisions. Particularly important, is the understanding of the assumptions and limitations of quantitative techniques and how these techniques can be used to facilitate practical decision-making. Consequently, emphasis would be placed on formulation, model building, and interpretation of results rather than theory.
The course is decision and action oriented, not technique and numbers driven hence the role of the computer and application software, and the use of case studies will be emphasized. Topics covered within the sessions include the following: Describing Data: Graphs and Tables, Summary Measures, Probability concepts and Applications, Decision Analysis, Time Series Analysis and Forecasting, Simulation Models and Game Theory applied to business.
The course is decision and action oriented, not technique and numbers driven hence the role of the computer and application software, and the use of case studies will be emphasized. Topics covered within the sessions include the following: Describing Data: Graphs and Tables, Summary Measures, Probability concepts and Applications, Decision Analysis, Time Series Analysis and Forecasting, Simulation Models and Game Theory applied to business.