EGRMGMT 580
Decision Models
Jinze Cui, Xuanjie Li
Description 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. Prerequisite: Familiarity with Excel, enrollment in the Master of Engineering Management program, or permission of instructor.
Skills
- data and statisticsdescription: "spreadsheet" and 2 more
AI-resilient: 1 of 5
- No: Physical, lab or field work
- No: Live work with people
- Yes: Judgment someone is accountable for · "decision"
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
More in EGRMGMT
- Engineering Management Seminar EGRMGMT 501
- Residency 3 - Conclusion and Graduation EGRMGMT 506
- Cohort 2 EGRMGMT 510-02
- Cohort 4 EGRMGMT 510-04
- Product Management in High-Tech Companies EGRMGMT 512
- Negotiations and Consultative Selling in Technology EGRMGMT 514