{"id":176,"date":"2024-07-16T11:39:39","date_gmt":"2024-07-16T09:39:39","guid":{"rendered":"https:\/\/wi.pb.edu.pl\/p\/?page_id=176"},"modified":"2024-07-16T11:39:39","modified_gmt":"2024-07-16T09:39:39","slug":"wprowadzenie-do-teorii-decyzji-i-analizy-decyzji","status":"publish","type":"page","link":"https:\/\/wi.pb.edu.pl\/p\/marek-j-druzdzel\/zajecia\/wprowadzenie-do-teorii-decyzji-i-analizy-decyzji\/","title":{"rendered":"Wprowadzenie do teorii decyzji i analizy decyzji"},"content":{"rendered":"

Wykladowca: Marek J. Druzdzel<\/p>\n

Plan zajec semestr zimowy 2023-2024:<\/h4>\n

25 pazdziernika 2023:<\/h5>\n

Getting to know each other; organization and overview of the course. Decision making; uncertainty, preferences, and actions; motivation for decision support; decision support systems. Rationality, rational behavior; good decisions vs. good outcomes; foundations of decision-analytic approach to decision support.<\/p>\n

15 listopada 2023:<\/h5>\n

A brief overview of useful statistical techniques.<\/p>\n

22 listopada 2023:<\/h5>\n

Bayesian networks. Introduction to GeNIe and SMILE?.<\/p>\n

29 listopada 2023:<\/h5>\n

Structuring decisions, causality and probability.<\/p>\n

6 grudnia 2023:<\/h5>\n

Subjective probability, elicitation of probabilities. Canonical probability distributions: Noisy-OR, -MAX, -AND, -MIN, DeMorgan gates. (non)Importance of precision in numerical parameters. Clarity test, sensitivity analysis, value of information.<\/p>\n

13 grudnia 2023:<\/h5>\n

Learning Bayesian networks\/causal discovery.<\/p>\n

20 grudnia 2023:<\/h5>\n

Model validation techniques.<\/p>\n

10 stycznia 2024:<\/h5>\n

Risk attitudes. Quantification of preferences. Expected utility theory. Utility elicitation, sensitivity analysis, value of information.<\/p>\n

17 stycznia 2024:<\/h5>\n

Conflicting objectives: basic techniques, multi-attribute utility functions.<\/p>\n

24 stycznia 2024:<\/h5>\n

Influence diagrams.<\/p>\n

Materialy z przedmiotu<\/h4>\n

00 Introduction<\/a><\/p>\n

01 Introduction to Bayesian Inference<\/a><\/p>\n

02 Bayesian Networks<\/a><\/p>\n

03 Building Bayesian Networks<\/a><\/p>\n

05 Learning Bayesian Networks and Causal Discovery<\/a><\/p>\n

05a Model Validation Techniques<\/a><\/p>\n

07 Decision Theory and Decision Analysis<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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