About this Course

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Shareable Certificate

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Start instantly and learn at your own schedule.

Flexible deadlines

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Beginner Level

Approx. 7 hours to complete

English

Subtitles: English

What you will learn

  • Ascribe human and computational problems to various definitions of difficulty and problem solving techniques.

  • Use problem solving strategies to break down problems.

  • Describe the effects of various sources of bias in judgement and decision making.

  • Analyze and apply heuristic models and probability modeling to a variety of decision making scenarios.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 7 hours to complete

English

Subtitles: English

Offered by

University of Colorado Boulder logo

University of Colorado Boulder

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Problems for Minds and Machines

3 hours to complete
2 videos (Total 55 min), 1 reading, 2 quizzes
2 videos
Problems for Minds and Machines31m
1 reading
Recognizing, Defining, and Representing Problems30m
2 practice exercises
Recognizing and Solving Problems10m
A Classic Puzzle25m
Week
2

Week 2

1 hour to complete

Computers and Logic

1 hour to complete
2 videos (Total 48 min)
2 videos
Machines and Logic25m
1 practice exercise
Computers and Logic15m
Week
3

Week 3

3 hours to complete

Humans and Heuristics

3 hours to complete
2 videos (Total 50 min), 3 readings, 2 quizzes
2 videos
Heuristics and Biases in Judgment21m
3 readings
Prospect Theory30m
Judgment under Uncertainty: Heuristics and Biases30m
***Cognitive Bias Bootcamp15m
2 practice exercises
Judgment and Decision Making5m
Heuristics and Biases10m
Week
4

Week 4

1 hour to complete

Course Assessment & Wrap-Up Discussion

1 hour to complete
2 practice exercises
Regression to the Mean15m
Small Numbers Fallacy10m

About the Mind and Machine Specialization

This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of “minds” – both biological and computational – has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger “historical” arc of these changes as well as current research directions and controversies....
Mind and Machine

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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