Overview
Structured Expert Judgement (SEJ) provides a transparent and performance-driven approach to using expert opinions in decision-making processes. It gives you an accessible and easy-to-use tool to forecast the uncertainty of specific quantities of interest, enabling you to evaluate and aggregate the uncertainty assessments offered by a pool of experts.
This rigorous and mathematically sound method can be used by any professional interested in supporting the assessment and prediction of risks and opportunities, from portfolio analysts and consultants to risk analysts and managers.
In this Decision Analysis Under Uncertainty course at Delft University of Technology (TU Delft) you will learn how to use SEJ in a specific project. You will be able to use your own case and receive personalized support and feedback throughout.
Outcomes
After taking this course you will be able to:
- use SEJ to quantify uncertainty to support your decision making
- design a complete expert judgment process
- carry out a structured protocol during which experts provide their assessments and rationales
- analyse expert data and produce a report of the findings
Programme Structure
Topics in this course include:- Why and when to use SEJ?
- Statistical accuracy (calibration) and information score
- Performance-based weights and the Decision Maker
- Data analysis
- Applications of CM
- Practical matters (biases, experts, elicitation)
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
Language
Credits
Continuing Education Units
Delivered
Campus Location
- Delft, Netherlands
Disciplines
Operations ResearchWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is primarily geared towards working professionals.
Prerequisites:
- Basic concepts in Probability Theory and Statistics. To support your learning, you will have access to videos introducing these concepts.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
- Free | Earn certificate for $249