Course Description
This course is designed to enhance the analytical skills of business managers who must make decisions based on quantitative data, in particular in environments characterized by significant uncertainty. Topics of study include sampling, estimation and inference, regression, simulation, decision analysis, and constrained optimization.
Athena Title
Decision Making
Equivalent Courses
Not open to students with credit in EMBA 7100
Non-Traditional Format
This course will be taught 95% or more online.
Grading System
A - F (Traditional)
Course Objectives
The purpose of the course is to develop the knowledge and skill set required to generate and interpret the output associated with a broad range of analytical techniques. For each technique considered, students will recognize the types of problems for which method is appropriate, identify the information required in order to implement the method, make organizationally-relevant decisions based on the associated output, and recommend additional data collection or analyses that will aid in decision-making.
Topical Outline
1. Introduction 2. Distributions 3. Central Tendency 4. Variability 5. Correlation 6. Regression 7. Significance Testing 8. Analysis of Variance 9. Decision Analysis 10. Linear Programming/Constrained Optimization 11. Sensitivity Analysis