Duke University - Think Again III: How to Reason Inductively
- Offered byCoursera
Think Again III: How to Reason Inductively at Coursera Overview
Duration | 24 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Think Again III: How to Reason Inductively at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 4 in the Introduction to Logic and Critical Thinking Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 24 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, English, Spanish
Think Again III: How to Reason Inductively at Coursera Course details
- Want to solve a murder mystery? What caused your computer to fail? Who can you trust in your everyday life? In this course, you will learn how to analyze and assess five common forms of inductive arguments: generalizations from samples, applications of generalizations, inference to the best explanation, arguments from analogy, and causal reasoning. The course closes by showing how you can use probability to help make decisions of all sorts.
- Suggested Readings
- Students who want more detailed explanations or additional exercises or who want to explore these topics in more depth should consult Understanding Arguments: An Introduction to Informal Logic, Ninth Edition, Concise, Chapters 8-12, by Walter Sinnott-Armstrong and Robert Fogelin.
- Course Format
- Each week will be divided into multiple video segments that can be viewed separately or in groups. There will be short ungraded quizzes after each segment (to check comprehension) and a longer graded quiz at the end of the course.
Think Again III: How to Reason Inductively at Coursera Curriculum
Welcome to the Course
Introduction to the Specialization
Course Logistics (Start Here)
What Is Induction?
Generalizations from Samples
When are Generalizations Strong?
Applying Generalizations
Another Example of Applying Generalizations (Optional)
Inference to the Best Explanation
Which Explanation Is Best?
A Student Example of Inference to the Best Explanation
Arguments from Analogy
What Is Induction?
Generalizations from Samples
When are Generalizations Strong?
Applying Generalizations
Inference to the Best Explanation
Which Explanation Is Best?
A Student Example: Inference to the Best Explanation
Arguments from Analogy
Causal Reasoning
Causal Reasoning
Negative Sufficient Condition Tests
Positive Sufficient Condition Tests
Negative Necessary Condition Tests
Positive Necessary Condition Tests
Complex Conditions
Correlation Versus Causation
Causal Fallacies
A Student Example: Causal Reasoning About Chocolate
Causal Reasoning
Negative Sufficient Condition Tests
Positive Sufficient Condition Tests
Negative Necessary Condition Tests
Positive Necessary Condition Tests
Complex Conditions
Correlation Versus Causation
Causal Fallacies
Chance and Choice
Why Probability Matters
What Is Probability?
Negation
Conjunction
Disjunction
Series
Bayes Theorem (Optional)
Expected Financial Value
Expected Overall Value
The Sausage Argument: A Student Argument About Decision Making
Why Probability Matters
What Is Probability?
Negation
Conjunction
Disjunction
Series
Bayes Theorem (Optional)
Expected Financial Value
Expected Overall Value
Catch-Up and Final Quiz
Final Quiz
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