Learn Heaps About Computers

Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:48:56

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Lecture 23: Stock market simulation

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:51:10

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Lecture 18: Presenting simulation results, Pylab, plotting

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:52:54

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Lecture 10: Divide and conquer methods, merge sort, exceptions

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:46:19

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Lecture 16: Encapsulation, inheritance, shadowing

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:50:23

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Lecture 11: Testing and debugging

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:48:59

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Lecture 20: Monte Carlo simulations, estimating pi

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:47:55

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Lecture 9: Binary search, bubble and selection sorts

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:47:30

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Lecture 7: Lists and mutability, dictionaries, pseudocode, introduction to efficiency

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:46:22

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Lecture 14: Analysis of knapsack problem, introduction to object-oriented programming

Instructors: Prof. Eric Grimson, Prof. John Guttag

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Duration : 0:50:34

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Technorati Tags: algorithms, big-O-notation, binary, building, classes, computation, computational, Computer, control, engineering, exceptions, flow, inheritance, libraries, models, modules, optimization, problem, problems, programming, Python, recursion, science, search, simulation, software, solving