MIT 6.0002 Lecture 1 — "Introduction and Optimization Problems"
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 the first lecture of MIT's 6.0002 "Introduction to Computational Thinking and Data Science," taught by John Guttag, rebuilt as a slide deck. Video2Any stepped through the 41-minute recording and pulled out the slides Guttag presented — optimization models, the 0/1 knapsack problem, brute force, and a greedy algorithm in code — 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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FAQ
- 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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