MIT 6 00 Intro to Computer Science Programming Online Course Video Lectures
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MIT 6 00 Intro to Computer Science Programming Online Course Video Lectures
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Torrent File Content (24 files)
MIT 6.00 Intro to Computer Science Programming Online Course Video Lectures
Lec 1 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
Lec 1 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
386.47 MB
Lec 10 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008_FreeVideoLecturesDOTcom.mp4 -
340.48 MB
Lec 11 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008_FreeVideoLecturesDOTcom.mp4 -
361.86 MB
Lec 12 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008_FreeVideoLecturesDOTcom.mp4 -
367.85 MB
Lec 13 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
361.54 MB
Lec 14 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
373.59 MB
Lec 15 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
369.51 MB
Lec 16 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
370.97 MB
Lec 17 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
364.89 MB
Lec 18 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
390.87 MB
Lec 19 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
368.58 MB
Lec 2 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
367.75 MB
Lec 20 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
353.98 MB
Lec 21 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
397.43 MB
Lec 22 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
375.57 MB
Lec 23 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
378.01 MB
Lec 24 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
316.19 MB
Lec 3 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
368.37 MB
Lec 4 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
371.58 MB
Lec 5 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
326.75 MB
Lec 6 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
370.88 MB
Lec 7 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
335.04 MB
Lec 8 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
361.83 MB
Lec 9 MIT 6.00 Introduction to Computer Science and Programming. Fall 2008-FreeVideoLecturesDOTcom.mp4 -
350.45 MB
Description
Introduction to Computer Science and Programming MIT Course , Fall 2008 , Prof. Eric Grimson
Course Description :
Introduction, Operators and operands; statements; branching, conditionals, and iteration, Decomposition and abstraction through functions;recursion,
Lectures Introduction Operators and operands; statements; branching, conditionals, and iteration Common code patterns: iterative programs Decomposition and abstraction through functions; introduction to recursion Floating point numbers, successive refinement, finding roots Bisection methods, Newton/Raphson, introduction to lists Lists and mutability, dictionaries, pseudocode, introduction to efficiency Complexity; log, linear, quadratic, exponential algorithms Binary search, bubble and selection sorts Divide and conquer methods, merge sort, exceptions Testing and debugging More about debugging, knapsack problem, introduction to dynamic programming Dynamic programming: overlapping subproblems, optimal substructure Analysis of knapsack problem, introduction to object-oriented programming Abstract data types, classes and methods Encapsulation, inheritance, shadowing Computational models: random walk simulation Presenting simulation results, Pylab, plotting Biased random walks, distributions Monte Carlo simulations, estimating pi Validating simulation results, curve fitting, linear regression Normal, uniform, and exponential distributions; misuse of statistics Stock market simulation Course overview; what do computer scientists do?
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