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Introduction to Computational Thinking and Data Science

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Introduction to Computational Thinking and Data Science

6.00.2x will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem solving . This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity. You will spend a considerable amount of time writing programs to implement the concepts covered in the course. For example, you will write a program that will simulate a robot vacuum cleaning a room or will model the population dynamics of viruses replicating and drug treatments in a patient's body.



Topics covered include:




  • Advanced programming in Python 3

  • Knapsack problem, Graphs and graph optimization

  • Dynamic programming

  • Plotting with the pylab package

  • Random walks

  • Probability, Distributions

  • Monte Carlo simulations

  • Curve fitting

  • Statistical fallacies


Tags: product differentiation and varietyBusinessEvaluationNutrition
Details: https://www.edx.org/course/i...thinking-data-mitx-6-00-2x-5
Language: English
Categories: Computer Sciences
Starts : 2017-03-07

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