MIT OpenCourseWare: Free Courses from the institute

MIT OpenCourseWare: Free Courses from the institute

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MIT OpenCourseWare: Free Courses from the institute episodes

  • 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
  • Lecture 2: Image Formation, Perspective Projection, Time Derivative, Motion Field

    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 definition of perspective projection, how force of expansion can be used to derive direction of motion, and how brightness and motion are intertwined.

    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 28 min
  • MIT Programmer on GenAI, Growth Mindset, and Rubber Ducks?

    Learn about Python, growth mindset, and the uses of rubber ducks in this interview with MIT lecturer Ana Bell. Dr. Bell, who has been programming since she was twelve and now teaches popular introductory courses in computer science, says that coding consists of almost equal parts creativity and logic. The creative part, she explains, gets exercised particularly when you have to come up with an algorithm to solve a given problem, because for any given complex problem there are many possible approaches to tackling it. The logical part comes into play when you sit down to translate that algorithm into an unambiguous sequence of rules in a programming language, and again when you discover that the code you’ve written doesn’t work exactly as you intended it to and you have to set about debugging it. Among the topics the conversation addresses are why everyone–even in the age of generative AI– ought to study at least the basics of programming, why it can be useful to speak to an inanimate object when your coding project is stuck in the debugging stage, and how programming can help you choose your own adventure.

    Uploaded 14-05-25

    Subscribe to Chalk Radio on podcast platforms ➜ https://chalk-radio.simplecast.com

    Relevant Resources:
    MIT OpenCourseWare (https://ocw.mit.edu)
    The OCW Educator portal (https://ocw.mit.edu/educator)
    Dr. Bell’s faculty page (https://www.mit.edu/~anabell/)
    6.100 L Introduction to Computer Science and Programming using Python on MIT OpenCourseWare (https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/)
    6.0001 [now 6.100A] Introduction to Computer Science and Programming in Python on MIT OpenCourseWare (https://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/)
    6.0002 [now 6.100B] Introduction to Computational Thinking and Data Science on MIT OpenCourseWare (https://ocw.mit.edu/courses/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/)
    Get Programming: Learn to Code with Python (book by Ana Bell) (https://www.manning.com/books/get-programming)
    Doodle Debug (coloring book by Ana Bell) (https://www.manning.com/books/get-programming)
    Music in this episode by Blue Dot Sessions (https://www.sessions.blue/)

    Connect with Us: If you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you!
    On our site (https://ocw.mit.edu/contact/)
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    Stay Current: Subscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter (https://ocw.mit.edu/newsletter/)

    Support OCW: If you like Chalk Radio and OpenCourseWare, donate to help keep these programs going! (https://giving.mit.edu/give/to/ocw/?utm_source=ocw&utm_medium=podcast&utm_campaign=donate)

    Credits:
    Sarah Hansen, host and producer
    Brett Paci, producer
    Jackson Maher, producer
    Dave Lishansky, producer
    Peter Chipman, show notes



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    35 min
  • Lecture 16: Fast Convolution, Low Pass Filter Approximations, Integral Images (US 6,457,032)

    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 discusses sampling and aliasing, integral images, Fourier analysis of block averaging, repeated block averaging, and impulses and convolution.

    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
  • Lec 5: Production Theory

    MIT 14.01 Principles of Microeconomics, Fall 2023
    Instructor: Prof. Jonathan Gruber
    View the complete course: https://ocw.mit.edu/14-01F23
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60V7HxLYRaJMbFzP77bzEjb

    Uploaded 28-04-25

    *Note: video revised to show the proper figure discussing isoquants at 24:55 (Figure 5.3)*

    In this lecture, Prof. Gruber talks about the production function, short-run production, long-run production, returns to scale, and productivity. Keywords: productivity, short run, long run, returns to scale, production function

    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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    55 min
  • Lecture 17: Photogrammetry, Orientation, Axes of Inertia, Symmetry, Orientation

    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

    This lecture marks a transition in what we have covered so far in the course from lower-level machine vision to higher-level problems, beginning with photogrammetry.

    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
  • Finance for public good

    MIT Economist Andrew W. Lo explains what motivated him to see Finance as a tool for public good, from the development of life-saving drugs, to counteracting the effects of Climate Change.

    Uploaded 28-04-25

    View the full conversation ➜ https://youtu.be/8kFFg5jAoQc?si=YbqBYKYedxa3Fna8

    The Chalk Radio® Podcast ➜ https://www.youtube.com/watch?v=8kFFg5jAoQc&list=PLUl4u3cNGP63YwKIMA9K08FFvdeBEl6Lo&pp=gAQB



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    8 min
  • Lecture 21: Relative Orientation, Binocular Stereo, Structure, Quadrics, Calibration, Reprojection

    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 discusses relative orientation, interior orientation, and combining the orientations. He also discusses Tsai's calibration method and squaring up.

    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
  • Navigating OER Space: MIT Libraries Open Educational Resources Guide

    MIT Libraries has created a Resource Guide that compiles and categorizes OER repositories. Carlos Gutierrez, Intellectual Property Coordinator for the Online Worldwide Learning IP Team at Open Learning provides a video walkthrough of the guide and covers other questions, including: What are OERs? How can they be used? How to navigate the MIT Libraries OER Resource Guide? Where and how to search for OER materials Open License vs. Open Access?

    Uploaded 24-04-25

    MIT Libraries OER Resource Guide
    https://libguides.mit.edu/oer

    CORE
    https://core.ac.uk/

    Digital Commons Network
    http://network.bepress.com/



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    11 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…