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2 Classes (6 Units)

6.0002 (6)

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6.0002 Introduction to Computational Thinking and Data Science

Class Info

Provides an introduction to using computation to understand real-world phenomena. Topics include plotting, stochastic programs, probability and statistics, random walks, Monte Carlo simulations, modeling data, optimization problems, and clustering. Combination of 6.0001 and 6.0002 counts as REST subject. Final given during final exam week.

This class has 6.0001 as a prerequisite.

6.0002 will be offered this semester (Spring 2018). It is instructed by J. V. Guttag.

Lecture occurs 3:00 PM to 4:00 PM on Mondays and Wednesdays in 26-100.

This class counts for a total of 6 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.0002&btnG=Google+Search&inurl=https site or on the 6.0002 Stellar site.

Required Textbooks
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MIT 6.0002 Introduction to Computational Thinking and Data Science Related Textbooks
MIT 6.0002 Introduction to Computational Thinking and Data Science On The Web

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