(MIT free course) Computer Science and Programming

Source: Internet
Author: User

This article from: http://news.cnblogs.com/n/92343/

 

 

I have previously recommended C/C ++ courses for MIT. Today I saw a group of free open courses on computer science and programming on their website (YouTube video ), after reading a few courses, I thought it was very systematic, and I felt like 1.1 million users. Although it is a theoretical course, we can feel that there is still a big gap in education in China. This group of courses is recommended to everyone. Subtitles are included in the video. students who graduated from the computer science department should be easy to understand. It is strongly recommended. (Aslan, a netizen, pointed out that someone has moved to Youku. The link is here. Unfortunately, there are no subtitles. In addition, I don't know why I wrote the video title as "Python learning ")


1: Introduction and goals; data types, operators, and variables

YouTube (English subtitles)

Youku (without subtitles)


2: branching, conditionals, and iteration

YouTube (English subtitles)

Youku (without subtitles)


3: Common Code patterns: iterative programs

YouTube (English subtitles)

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4: define action through functions; Introduction to recursion

YouTube (English subtitles)

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5: Floating Point Numbers, successive refinement, Finding Roots

YouTube (English subtitles)

Youku (without subtitles)


6: bisection methods, Newton/Raphson, Introduction to lists

YouTube (English subtitles)

Youku (without subtitles)


7: Lists and mutability, dictionaries, Introduction to efficiency

YouTube (English subtitles)

Youku (without subtitles)


8: complexity: log, linear, quadratic, exponential Algorithms

YouTube (English subtitles)

Youku (without subtitles)


9: Binary Search, bubble and selection sorts

YouTube (English subtitles)

Youku (without subtitles)


10: Divide and conquer methods, merge sort, exceptions

YouTube (English subtitles)

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11: Testing and debugging

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12: debugging, knapsack problem, Introduction to Dynamic Programming

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13: Dynamic Programming: overlapping subproblems, optimal substructure

YouTube (English subtitles)

Youku (without subtitles)


14: Introduction to object-oriented programming

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15: abstract data types, classes and Methods

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16: encapsulation, inheritance, shadowing

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17: Computational Models: Random Walk Simulation

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18: Presenting simulation results, pylab, plotify

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19: biased random walks, distributions

YouTube (English subtitles)

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20: Monte Carlo simulations, estimating pi

YouTube (English subtitles)

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21: validating simulation results, curve fitting, linear regression

YouTube (English subtitles)

Youku (without subtitles)


22: Normal, uniform, and exponential distributions

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23: stock market Simulation

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24: course overview; what do computer scientists do?

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Youku (without subtitles)

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