Lectures

• 3.7.1 The performance of the Decision Maker

  Subject(s) Module 3. Performance-based weights and the Decision Maker
  

• 4.2.1 An introduction to Excalibur

  Subject(s) Module 4. Data analysis using Excalibur and Validation
  

• 4.6.3 How to validate the performance of the DM?

  Subject(s) Module 4. Data analysis using Excalibur and Validation
  

• 5.2.1 Heuristics and biases

  Subject(s) Module 5. Biases and the IDEA protocol
  

• 5.3.1 The IDEA protocol

  Subject(s) Module 5. Biases and the IDEA protocol
  

• 6.2.1 Applications of the Classic Model

  Subject(s) Module 6. Applications of CM and practical matters
  

• 6.2.3 Ice sheet SEJ study

  Subject(s) Module 6. Applications of CM and practical matters
  

• 6.2.4 SEJ in Safety studies

  Subject(s) Module 6. Applications of CM and practical matters
  

• 6.3.1 The Classical Model in practice

  Subject(s) Module 6. Applications of CM and practical matters
  

• 7.1.1 Other SEJ methods

  Subject(s) Module 7. Extra material
  

Decision Making Under Uncertainty: Introduction to Structured Expert Judgment by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/decision-making-under-uncertainty-introduction-to-structured-expert-judgment//.