计算思维与数据科学导论

Introduction to Computational Thinking and Data Science

6.00.2x is an introduction to using computation to understand real-world phenomena.

1205 次查看
麻省理工学院
edX
  • 完成时间大约为 9
  • 中级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Plotting with the pylab package

Stochastic programming and statistical thinking

Monte Carlo simulations

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

预备知识

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

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