（麻省理工免费课程）计算机科学和编程导论
以前本站推荐过 麻省理工的C/C++的课程 ，今天在他们的网站看到上有一组关于 计算机科学和编程导论的免费公开课 （视频是Youtube的），我看了几个课程，我觉得讲得很系统啊，而且有一点一通百通的感觉。虽然是理论课，但是可以感到我国的教育还是有很大差距的。这个组课程推荐给大家（需要翻墙），视频都有字幕，计算机科学系毕业的同学应该会很容易听懂。强烈推荐。（网友Aslan指出已经有人搬运到优酷上了， 链接在这里 ，遗憾的是没有字幕，另外，不知道为什么会说是Python学习）
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1: Introduction and Goals; Data Types, Operators, and Variables |
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2: Branching, Conditionals, and Iteration |
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3: Common Code Patterns: Iterative Programs |
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4: Abstraction through Functions; Introduction to Recursion |
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5: Floating Point Numbers, Successive Refinement, Finding Roots |
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6: Bisection Methods, Newton/Raphson, Introduction to Lists |
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7: Lists and Mutability, Dictionaries, Introduction to Efficiency |
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8: Complexity: Log, Linear, Quadratic, Exponential Algorithms |
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9: Binary Search, Bubble and Selection Sorts |
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10: Divide and Conquer Methods, Merge Sort, Exceptions |
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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 |
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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, Plotting |
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19: Biased Random Walks, Distributions |
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20: Monte Carlo Simulations, Estimating pi |
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21: Validating Simulation Results, Curve Fitting, Linear Regression |
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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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《 （麻省理工免费课程）计算机科学和编程导论 》的相关评论
现在这个有翻译的了
http://open.163.com/special/opencourse/bianchengdaolun.html
B站上有英文字幕版https://www.bilibili.com/video/av10497433/
不需要范强