Introduction to Computational Thinking and Data Science

开始时间: 04/22/2022 持续时间: 10 weeks

所在平台: EdxArchive

课程类别: 计算机科学

大学或机构: MITx

授课老师： Eric Grimson John Guttag Ana Bell

课程主页: https://www.edx.org/archive/introduction-computational-thinking-data-mitx-6-00-2x-2

课程评论: 1 个评论

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课程详情

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:

Plotting with the pylab package
Random walks
Probability, Distributions
Monte Carlo simulations
Curve fitting
Knapsack problem, Graphs and graph optimization
Machine learning basics, Clustering algorithms
Statistical fallacies

课程大纲

Plotting with the pylab package
Stochastic programming and statistical thinking
Monte Carlo simulations

课程评论(1条)

0	Monkey_D_Law 2015-12-29 19:24 0 票支持; 0 票反对这门课是Introduction to Computer Science and Programming Using Python后续课。相比于上一门，作业依旧给力，但是这门课干活不多，课程内容安排有点散。 python部分主要讲了pylab，学好了这个，基本上就可以告别matlab了；后面主要讲了概率统计、图以及机器学习，然后用python实现，略简单，收获不大。

课程简介

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

课程标签

计算思维与数据科学导论计算思维数据科学