Syllabus

The complete module-and-topic map of the book. Click any module to open its overview, or jump straight to a topic within a chapter.

Four-Module Path · 24 Topics

IIntroduction to Decision Science4 topics

Foundations of Decision Making

1Overview of the Decision-Making Process 2Rationality and Decision Theory 3Types of Decisions and Decision Problems 4Decision Trees and Probability Theory

IIDecision Analysis and Data Uncertainty7 topics

Structuring and Evaluating Decisions

5Structuring Decision Problems 6Decision Criteria and Utility Theory 7Multi-Criteria Decision Analysis (MCDA) 8Sensitivity Analysis and Risk Assessment

Uncertainty, Probability and Simulation

9Sources of Uncertainty and Risk 10Probability Distributions and Statistical Inference 11Monte Carlo Simulation and Bootstrapping

IIIDecision-making Frameworks and Behavioral Decision Making6 topics

Quantitative and Strategic Frameworks

12Cost-Benefit Analysis and Net Present Value 13Decision-making under Risk and Uncertainty 14Game Theory and Strategic Decision Making

Behavioural Decision Making

15Cognitive Biases and Heuristics 16Prospect Theory and Loss Aversion 17Framing and its Effect on Decision Making

IVData Analytics, Decision Making, and Ethics6 topics

Analytics and Predictive Modelling

18Introduction to Data Analytics and Machine Learning 19Regression Analysis and Predictive Modeling 20Decision Trees and Random Forests

Ethics and Responsibility

21Ethical Considerations in Decision Making 22Decision Making and Social Responsibility 23Sustainability and Decision Making