Introduction to Computer Science and Programming Lecture – 18

  Lecture 18: Presenting simulation results, Pylab, plotting

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Introduction to Computer Science and Programming Lecture – 19

Lecture 19: Biased random walks, distributions  

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Introduction to Computer Science and Programming Lecture – 20

Lecture 20: Monte Carlo simulations, estimating pi

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Introduction to Computer Science and Programming Lecture – 21

Lecture 21: Validating simulation results, curve fitting, linear regression

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Introduction to Computer Science and Programming Lecture – 22

Lecture 22: Normal, uniform, and exponential distributions; misuse of statistics

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Introduction to Computer Science and Programming Lecture – 23

Lecture 23: Stock market simulation

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