decision theory course
Master decision theory for management. Build payoff matrices, model uncertainty and risk, use market data for probabilities, compute EMV and sensitivity analyses, and deliver concise, data-backed strategic recommendations balancing upside potential with downside protection.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This practical Decision Theory Course teaches building payoff matrices, modeling costs, prices, capacity, computing EMV, expected utility, non-probabilistic criteria, using macro and market data for probabilities, sensitivity and break-even analyses, and creating actionable recommendations from risk trade-offs with caveats and data-driven steps.
Elevify advantages
Develop skills
- Decision modeling: build payoff matrices and compare strategies under uncertainty.
- Risk analysis: compute EMV, utility, and sensitivity to guide safer decisions.
- Market-based probabilities: turn macro and industry data into demand scenarios.
- Profit modeling: link price, cost, capacity, and demand to forecast outcomes.
- Executive recommendations: craft concise, data-backed choices with clear caveats.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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