1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)

Описание к видео 1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
View the complete course: http://ocw.mit.edu/6-0002F16
Instructor: John Guttag

Prof. Guttag provides an overview of the course and discusses how we use computational models to understand the world in which we live, in particular he discusses the knapsack problem and greedy algoriths.

License: Creative Commons BY-NC-SA
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More courses at http://ocw.mit.edu

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