About this Course

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Start instantly and learn at your own schedule.

Flexible deadlines

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Beginner Level

Approx. 13 hours to complete

Suggested: 9 hours/week...

English

Subtitles: English

What you will learn

  • Check

    Apply various models of human and machine vision and discuss their limitations.

  • Check

    Demonstrate the geon model of object recognition and its limitations.

  • Check

    Argue the benefits and drawbacks of the symbolist and visualist perspectives of mental imagery.

  • Check

    Recognize the single layer and multi-layer perceptron neural network models of artificial intelligence.

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 13 hours to complete

Suggested: 9 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Introduction

1 video (Total 19 min), 1 reading, 1 quiz
1 reading
Vision by Man and Machine10m
1 practice exercise
Vision Overview10m
Week
2
2 hours to complete

Edges, Depth, and Objects

3 videos (Total 103 min), 2 quizzes
3 videos
Depth Perception35m
Object Recognition36m
2 practice exercises
Edges5m
Geons15m
Week
3
2 hours to complete

Mental Imagery

2 videos (Total 123 min), 1 reading, 1 quiz
2 videos
Mental Imagery and the "Turn Towards Neuroscience"1h
1 reading
Mental Imagery and the Visual System10m
1 practice exercise
Mental Imagery5m
Week
4
3 hours to complete

Machine Learning and Neural Networks

3 videos (Total 99 min), 1 reading, 1 quiz
3 videos
Multi-Layer Networks25m
Deep Learning for Object Recognition26m
1 reading
M​ind Body World (Sections 4.0 through 4.4)45m
1 practice exercise
Convolution Problem10m

Instructor

Avatar

David Quigley

Research Associate
Cognitive Science

About University of Colorado Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies....

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.

More questions? Visit the Learner Help Center.