Cover image of Introduction to Computer Science and Programming

Introduction to Computer Science and Programming

Introduction to Computer Science and Programming

Ranked #1

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Lecture 19: Biased random walks, distributions

Lecture 19: Biased random walks, distributions

8 Apr 2015

49mins

Ranked #2

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

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

8 Apr 2015

53mins

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Lecture 20: Monte Carlo simulations, estimating pi

Lecture 20: Monte Carlo simulations, estimating pi

8 Apr 2015

47mins

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Lecture 18: Presenting simulation results, Pylab, plotting

Lecture 18: Presenting simulation results, Pylab, plotting

8 Apr 2015

52mins

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Ranked #5

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Lecture 17: Computational models: random walk simulation

Lecture 17: Computational models: random walk simulation

8 Apr 2015

49mins

Ranked #6

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Lecture 16: Encapsulation, inheritance, shadowing

Lecture 16: Encapsulation, inheritance, shadowing

8 Apr 2015

50mins

Ranked #7

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Lecture 15: Abstract data types, classes and methods

Lecture 15: Abstract data types, classes and methods

8 Apr 2015

50mins

Ranked #8

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Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure

Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure

8 Apr 2015

48mins

Ranked #9

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Lecture 09: Binary search, bubble and selection sorts

Lecture 09: Binary search, bubble and selection sorts

8 Apr 2015

47mins

Ranked #10

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Lecture 08: Complexity; log, linear, quadratic, exponential algorithms

Lecture 08: Complexity; log, linear, quadratic, exponential algorithms

8 Apr 2015

50mins

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