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Making Deep Learning Human with Prof. Gilbert Strang
Manage episode 256441904 series 2625682
Mathematics Professor Gilbert Strang is one of MIT’s most revered instructors; his courses, especially the perennially popular linear algebra course 18.06, have received millions of visits on OpenCourseWare, and his lecture videos have won him a devoted following on YouTube as well. (A sample YouTube comment on one of his lectures: “This is not lecture, this is art.”) A few years ago, Professor Strang began teaching a new course (18.065) focusing on the application of mathematical matrices to deep learning and AI. This new course is very unlike a typical undergraduate math course. For one thing, there’s no final exam—in fact, there are no exams at all! Instead, Professor Strang asks each student to spend the semester developing a project that applies the techniques they’re studying to some topic or problem they personally find interesting. In this episode, we hear from Professor Strang about his efforts to humanize math teaching, the value of thinking through problems in real time during lectures—even if it means getting stuck and having to backtrack!—and the importance of staying continually conscious of your students.
Relevant Resources:
Professor Strang’s faculty page
Music in this episode by Blue Dot Sessions
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!
Stay Current
Subscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter.
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!
Call us @ 617-715-2517
Stay Current
Subscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter.
Support OCW
If you like Chalk Radio and OpenCourseware, donate to help keep these programs going!
Credits
Sarah Hansen, host and producer
Brett Paci, producer
Dave Lishansky, producer
Show notes by Peter Chipman
48 epizódok
Manage episode 256441904 series 2625682
Mathematics Professor Gilbert Strang is one of MIT’s most revered instructors; his courses, especially the perennially popular linear algebra course 18.06, have received millions of visits on OpenCourseWare, and his lecture videos have won him a devoted following on YouTube as well. (A sample YouTube comment on one of his lectures: “This is not lecture, this is art.”) A few years ago, Professor Strang began teaching a new course (18.065) focusing on the application of mathematical matrices to deep learning and AI. This new course is very unlike a typical undergraduate math course. For one thing, there’s no final exam—in fact, there are no exams at all! Instead, Professor Strang asks each student to spend the semester developing a project that applies the techniques they’re studying to some topic or problem they personally find interesting. In this episode, we hear from Professor Strang about his efforts to humanize math teaching, the value of thinking through problems in real time during lectures—even if it means getting stuck and having to backtrack!—and the importance of staying continually conscious of your students.
Relevant Resources:
Professor Strang’s faculty page
Music in this episode by Blue Dot Sessions
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!
Stay Current
Subscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter.
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!
Call us @ 617-715-2517
Stay Current
Subscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter.
Support OCW
If you like Chalk Radio and OpenCourseware, donate to help keep these programs going!
Credits
Sarah Hansen, host and producer
Brett Paci, producer
Dave Lishansky, producer
Show notes by Peter Chipman
48 epizódok
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