MIT 6.0002 Lecture 3 — "Graph-theoretic Models"
20 slides Video2Any pulled straight from the recorded lecture — no upload, all in the browser.
MIT OpenCourseWare · 6.0002, Fall 2016 · ocw.mit.edu/courses/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016
This is Lecture 3 of MIT's 6.0002 "Introduction to Computational Thinking and Data Science," taught by Eric Grimson, rebuilt as a slide deck. Video2Any stepped through the 50-minute recording and pulled out the slides Grimson presented — what graphs are, digraph classes in Python, depth-first search, and shortest-path examples — as clean frames ready to open in PowerPoint, Keynote, or Google Slides. Every slide below is real output, extracted in the browser with nothing uploaded. Want the same from a lecture, webinar, or talk you have? Drop it in and you get an editable deck back in seconds.
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- Are these the actual slides from the lecture?
- Yes — Video2Any extracted them from the recording, keeping one clean frame per slide change. The camera cutaways to the room were left out so the deck reads as slides. The course is published by MIT OpenCourseWare under CC BY-NC-SA; we credit MIT and link back to the original.
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