Decision theory course
This course equips managers with decision theory essentials to handle uncertainty effectively. Participants learn to create payoff matrices, evaluate risks using EMV and utility functions, integrate market data for realistic probabilities, perform sensitivity analyses, and deliver precise strategic recommendations that optimise gains while minimising losses, fostering confident business choices grounded in data.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in decision theory by constructing payoff matrices, modelling costs, prices, and capacity, and calculating expected monetary value, utility, and non-probabilistic metrics. Utilise macro and market data for probability estimation, conduct sensitivity and break-even analyses, and convert intricate risk decisions into clear, actionable advice with defined limitations and evidence-based actions.
Elevify advantages
Develop skills
- Build decision models with payoff matrices to evaluate strategies amid uncertainty.
- Perform risk assessments via EMV, utility calculations, and sensitivity testing for robust choices.
- Derive probabilities from macro and market data to simulate demand and scenarios accurately.
- Model profits by integrating pricing, costs, capacity, and demand forecasts.
- Formulate executive summaries with data-supported decisions, including explicit risks and steps.
Suggested summary
Before starting, you can change the chapters and 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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Giulio CarloDigital Marketing Student
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