本文共 1492 字，大约阅读时间需要 4 分钟。
原文地址：http://coolshell.cn/articles/3723.html
以前本站推荐过 ，今天在他们的网站看到上有一组关于 （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（需要藩墙），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， ，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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