Coursera MOOC / Non-credit 0

Critical Thinking and Decision Science

Name: Critical Thinking and Decision Science
Price: 49 USD
Availability: InStock

University of Michigan

About this course

In this Specialization, you’ll strengthen critical thinking and decision science by combining model thinking, computational problem solving, evidence-based reasoning, and practical GenAI prompting. You’ll learn how different models explain the same situation in different ways—so you can choose better assumptions, spot tradeoffs, and test strategies before you act. You’ll also practice turning messy problems into clear steps a computer could execute, using problem identification, decomposition, pattern recognition, abstraction, algorithms, and evaluation. Across lessons on statistics, the law of large numbers, correlation, experiments, prediction, cognitive biases, and logic, you’ll build habits for judging claims you see at work and in the media. You’ll then use GenAI as a thinking partner for customizing a Critical Thinking Framework, selecting and guiding models with clear constraints, and improving reliability by asking for evidence, alternatives, and checks. By the end of this Specialization, you will be able to: Apply model-based reasoning (e.g., networks, games, randomness) to explain outcomes and compare decisions. Decompose real-world problems into algorithms and evaluate solutions against goals and constraints. Judge evidence using statistical and scientific reasoning, including experiments vs. correlations and uncertainty. Build and reuse GenAI prompts that support critical thinking with explicit assumptions, sources, and evaluation steps.

90/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 35/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Apply model-based reasoning to explain outcomes and compare decisions
Decompose real-world problems into algorithms and evaluate solutions against specified goals and constraints
Judge evidence using statistical reasoning, distinguishing between experiments and correlations, and assessing uncertainty

Course objectives

Help learners spot tradeoffs in decision-making
Train students to recognize cognitive biases and apply logical reasoning
Encourage the development of reliable GenAI prompts for critical thinking

Machine Learning Artificial Intelligence Statistics & Probability #critical thinking #logical reasoning #cognitive biases #problem solving #generative ai #statistical analysis #algorithms #experimentation #evaluation #evidence-based reasoning #decision science #prediction #computational problem solving #model thinking #scientific reasoning #patterns recognition #problem decomposition

$49.00

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