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6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience.

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English

English [CC]

FREE

Description

It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.

Course content

  • Introduction and Optimization Problems Unlimited
  • Optimization Problems Unlimited
  • Graph-theoretic Models Unlimited
  • Stochastic Thinking Unlimited
  • Random Walks Unlimited
  • Monte Carlo Simulation Unlimited
  • Confidence Intervals Unlimited
  • Sampling and Standard Error Unlimited
  • Understanding Experimental Data Unlimited
  • Understanding Experimental Data (cont.) Unlimited
  • Introduction to Machine Learning Unlimited
  • Clustering Unlimited
  • Classification Unlimited
  • Classification and Statistical Sins Unlimited
  • Statistical Sins and Wrap Up Unlimited

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Instructor

Massachusetts Institute of Technology
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