6.0002 Introduction to Computational Thinking and Data Science
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 (Fall 2017). 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 6.0002 Introduction to Computational Thinking and Data Science site or on the 6.0002 Stellar site.
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