计算思维和数据科学导论

Introduction to Computational Thinking and Data Science

This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity.

麻省理工学院

edX

计算机

普通(中级)

9 周

  • 英语
  • 2027

课程概况

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

你将学到什么

Plotting with the pylab package

Stochastic programming and statistical thinking

Monte Carlo simulations

预备知识

6.00.1x or equivalent (some prior programming experience in Python and a rudimentary knowledge of computational complexity)

常见问题

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

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