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MIT OpenCourseWare: Free Courses from the institute
MIT OpenCourseWare: Free Courses from the institute episodes
- Lecture 1: Introduction to Machine Vision
MIT 6.801 Machine Vision, Fall 2020
Instructor: Berthold Horn
View the complete course: https://ocw.mit.edu/6-801F20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O
Uploaded 08-06-22
Prof. Horn introduces the Machine Vision course and covers the basics of machine vision theory.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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1 hr 27 min - “Why so many cereals?" - The economics of competition
Professor Jon Gruber explains how companies use product differentiation - such as in the breakfast cereal industry - to maintain profitability in highly competitive markets, in this segment from lecture 14 of Principles of Microeconomics.
Uploaded 15-07-25
#Competition #ProductDifferentiation #Monopolies #BreakfastCereal #Economy #Economics #MicroEconomics #ChoiceOverload #CournotModel #BertrandModel #MIT #IntroEconomics #IntroEconomicsCourse
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6 min - Lecture 11: Edge Detection, Subpixel Position, CORDIC, Line Detection (US 6,408,109)
MIT 6.801 Machine Vision, Fall 2020
Instructor: Berthold Horn
View the complete course: https://ocw.mit.edu/6-801F20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O
Uploaded 08-06-22
In this lecture, we will introduce some discussion on how patents work, their stipulations, and make our discussion explicit by looking at a patent case study with sub-pixel accuracy edge detection. We discuss US patent 6,408,109.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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1 hr 34 min - Translating Healthcare Research into Healthcare Entrepreneurship
MIT RES.SUD-01 Substance Use Disorders Ventures Program, Spring 2025
Instructor: Suzanne Mitchell
View the complete course: https://ocw.mit.edu/courses/res-sud-01-substance-use-disorder-ventures-program-spring-2025/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60O8-oSngUwSGC1J2EhNKsa
Uploaded 09-07-25
During the Substance Use Disorders Venture Program, Suzanne Mitchell talks about how to translate healthcare research into healthcare entrepreneurship.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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1 hr 34 min - Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review
MIT 6.801 Machine Vision, Fall 2020
Instructor: Berthold Horn
View the complete course: https://ocw.mit.edu/6-801F20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O
Uploaded 08-06-22
In this lecture, Prof. Horn speaks about the applications of linear algebra to motion estimation and noise gain. He also discusses Lambertian Objects, Lambert's Law, and brightness.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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1 hr 35 min - Prapela Case Study
MIT RES.SUD-01 Substance Use Disorders Ventures Program, Spring 2025
Instructor: John Konsin, Erdin Beshimov, Hanna Adeyema
View the complete course: https://ocw.mit.edu/courses/res-sud-01-substance-use-disorder-ventures-program-spring-2025/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60O8-oSngUwSGC1J2EhNKsa
Uploaded 09-07-25
During the Substance Use Disorders Ventures Program, the group analyzes the company Prapela as a case study. The CEO of Prapela, John Konsin leads the discussion.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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1 hr 2 min - Lecture 12: Blob Analysis, Binary Image Processing, Green's Theorem, Derivative and Integral
MIT 6.801 Machine Vision, Fall 2020
Instructor: Berthold Horn
View the complete course: https://ocw.mit.edu/6-801F20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O
Uploaded 08-06-22
In this lecture, we continue our discussion of intellectual property. We elaborate on some of the specific machine vision techniques that were used in this patent and its possible extensions.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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1 hr 34 min - Do You Still Need to Learn Python in the Age of AI?
Ana Bell explains to the host, Sarah Hansen, why learning Python still matters, even with powerful AI coding tools at our fingertips, on the Chalk Radio® podcast!
Uploaded 02-06-25
View the full episode here: https://www.youtube.com/watch?v=p8918BiV01c
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5 min - Lecture 4: Fixed Optical Flow, Optical Mouse, Constant Brightness Assumption, Closed Form Solution
MIT 6.801 Machine Vision, Fall 2020
Instructor: Berthold Horn
View the complete course: https://ocw.mit.edu/6-801F20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63pfpS1gV5P9tDxxL_e4W8O
Uploaded 08-06-22
In this lecture, Prof. Horn speaks about the increasing generality of Time to Contact (TTC) problems, multiscale and TTC, optical flow, vanishing points, and calibration objects.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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1 hr 30 min - What is "rubber duck debugging?"
Ana Bell explains “rubber duck debugging," a technique in which a programmer explains their code to an inanimate object in order to uncover hidden errors, on the Chalk Radio® podcast.
Uploaded 27-05-25
View the full episode here: https://www.youtube.com/watch?v=p8918BiV01c
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7 min
About MIT OpenCourseWare: Free Courses from the institute
From the publisher's feed
A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the…
OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching.Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu.Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/(Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)Links:MIT OpenCourseWare: https://ocw.mit.eduFacebook: https://facebook.com/mitocwTwitter: https://twitter.com/mitocwInstagram: https://www.instagram.com/mitocwDonate to OCW: https://giving.mit.edu/give/to/ocw/?utm_source=ocw&utm_medium=youtube&utm_campaign=donateBlog: https://www.ocw-openmatters.org/