Please be advised: the information contained on this page is a general overview of the course. As course information is subject to change from one semester to another, please check DukeHub for the most accurate and up-to-date information about EGRMGMT courses.
At a Glance
- Instructor(s): Departmental staff; this course is always taught by a Ph.D. student from the Fuqua School of Business, so instructor varies by semester
- Semester(s) typically taught: Fall and Spring
- Last taught: Spring 2022
- Units: 3.0
- Grading scale: Graded (A-F)
- Required or elective for MEM degree? Elective
- If elective, applicable elective track(s): Operations and Supply Chain Management
- Pre-requisites: Familiarity with MS Excel
- Recommended previous courses: n/a
Course Description/Synopsis (from DukeHub)
Problems involving uncertainty and/or complex interactions can be too difficult to grasp intuitively. This course introduces spreadsheet modeling, simulation, decision analysis and optimization to represent and analyze such complex problems. First, the use of decision tress for structuring decision problems under uncertainty is discussed. Next, Monte Carlo simulation is used as a modeling environment, using add-in programs as necessary
Course Syllabus (Previous)
EGRMGMT 580.01 Syllabus, Spring 2022
Student Testimonials (from Course Evaluations)
- “Class has an excellent quality because it is very practical by teaching us sheet modeling, decision trees, Monte Carlo simulation, and optimization to solve real-time issues. The skills learned in this course are applicable in almost all aspects of business and should be helpful in the future.”
- “Overall, I believe the quality of the course is pretty high, methods and tools learned in this course can be well-applied to real-world problem solutions.”
- “Data and sensitivity analysis was useful to check how the probabilities and risks can change the decisions.”
- “The concept of how to analyze and simulate the problem is useful because using a decision model will help me conduct results under different possible scenarios.”
Previous Course Evaluations
- Fall 2021
- Spring 2021
