EDX MIT 6.00X 2012

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Added on January 28, 2013 by vinayg7in Other > Unsorted
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EDX MIT 6.00X 2012 (Size: 2.38 GB)
 edX FA12 cware 1.mp46.61 MB
 edX FA12 cware 2.mp44.34 MB
 edX FA12 cware 3.mp44.14 MB
 edX FA12 cware 4.mp44.34 MB
 edX FA12 cware 5.mp43.12 MB
 edX FA12 cware 6.mp41.12 MB
 Lecture1_1.db10923a6dfa.pdf81.82 KB
 Lecture1_2.809160525d6c.pdf56.73 KB
 Lecture1_3.cc9e96700fd3.pdf60.09 KB
 Lecture1_4.6d45ac7f64b4.pdf46.3 KB
 0-Introduction.mp41.78 MB
 0-Introduction.srt928 bytes
 1-Basics of Computation.mp424.02 MB
 1-Basics of Computation.srt18.34 KB
 2-Types of Knowledge.mp411.46 MB
 2-Types of Knowledge.srt10.19 KB
 3-Basic Machine Architecture.mp413.42 MB
 3-Basic Machine Architecture.srt12.91 KB
 4-Programming Language Characteristics.mp418.52 MB
 4-Programming Language Characteristics.srt16.58 KB
 Lec2.5.4.9267d4428ef3.py115 bytes
 Lec2.6.2.8f018b2545a7.py174 bytes
 Lec2.6.4.ce5e356c877d.py206 bytes
 Lecture2_1.cebd52e291fa.pdf171.13 KB
 Lecture2_2.47b4cead8a64.pdf71.46 KB
 Lecture2_3.33ddeb2d36f9.pdf153.03 KB
 Lecture2_4.80ec9282828d.pdf44.45 KB
 Lecture2_5.8a6810cdf6bd.pdf53.13 KB
 Lecture2_6.2c5e6a7dc9f2.pdf248.57 KB
 0-Introduction.mp43.1 MB
 0-Introduction.srt1.66 KB
 1-Types of Programming Languages.mp412.27 MB
 1-Types of Programming Languages.srt9.61 KB
 2-Python Objects.mp418.58 MB
 2-Python Objects.srt17.9 KB
 3-Variables and Naming.mp48.6 MB
 3-Variables and Naming.srt7.44 KB
 4-Strings.mp415.22 MB
 4-Strings.srt10.81 KB
 lec3.1.2.eae88c107b74.py193 bytes
 lec3.2.4.63d4b28a3baa.py271 bytes
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 lec3.7.3.bc23869de274.py264 bytes
 Lecture3_1.ba87d94c7da5.pdf208.18 KB
 0-Introduction.mp42.89 MB
 0-Introduction.srt1.64 KB
 1-Iteration.mp413.64 MB
 1-Iteration.srt12.35 KB
 2-Guess and Check Algorithms.mp424.74 MB
 2-Guess and Check Algorithms.srt18.57 KB
 3-Loop Mechanisms.mp413.05 MB
 3-Loop Mechanisms.srt10 KB
 4-Floating Point Accuracy.mp424.9 MB
 4-Floating Point Accuracy.srt19.88 KB
 circle.a23bd1538e4f.py149 bytes
 Lec4-iterativePower.6efa1a322446.py568 bytes
 Lec4-roots.7a5aff4c718c.py1.92 KB
 Lec4-twoPower.6d3436837e85.py182 bytes
 Lecture4_1.0c53c073e7fe.pdf60.93 KB
 Lecture4_2.97c4f317ac16.pdf83.17 KB
 Lecture4_3.892b35c8b393.pdf166.56 KB
 Lecture4_4.da4a40a4cd41.pdf116.93 KB
 Lecture4_5.7ec7531e7efa.pdf275.29 KB
 Lecture4_6.0588e0fc33fc.pdf68.98 KB
 0-Introduction.mp42.8 MB
 0-Introduction.srt1.62 KB
 1-Creating Functions.mp418.12 MB
 1-Creating Functions.srt14.92 KB
 2-Environments.mp419.23 MB
 2-Environments.srt13.16 KB
 3-Computing Powers as an Example.mp417.42 MB
 3-Computing Powers as an Example.srt12.14 KB
 4-Understanding Variable Binding.mp413.27 MB
 4-Understanding Variable Binding.srt10.81 KB
 Lec5-fact.7b869c890265.py280 bytes
 Lec5-fib.85faedde9607.py198 bytes
 Lec5-fibMetered.318b63eb58ad.py366 bytes
 Lec5-isPal.7f9ff66dabca.py363 bytes
 Lec5-iterMul.6f57169a802c.py105 bytes
 Lec5-recMul.2acc3a988478.py104 bytes
 Lec5-towers.fbe7c1d777e6.py261 bytes
 Lecture5_1.62048723d194.pdf53.64 KB
 Lecture5_2.cb7a2c041636.pdf58.3 KB
 Lecture5_3.ae7c828707c8.pdf139.56 KB
 0-Introduction.mp42.58 MB
 0-Introduction.srt1.4 KB
 1-Iterative Algorithms.mp410.91 MB
 1-Iterative Algorithms.srt8.67 KB
 2-Recursive Algorithms.mp410.13 MB
 2-Recursive Algorithms.srt7.9 KB
 3-Using Environments to Understand Recursion.mp416.04 MB
 3-Using Environments to Understand Recursion.srt13.98 KB
 4-Inductive Reasoning.mp451.95 MB
 4-Inductive Reasoning.srt11.3 KB
 Lec6-applyToEach.bb34dad5ef44.py516 bytes
 Lec6-divisors.bc147ff259b9.py420 bytes
 Lec6-removeDups.fa3036169897.py337 bytes
 Lec6-Universities.22dcfcb4ac39.py397 bytes
 Lecture6_1.0ede0ca3037e.pdf54.68 KB
 Lecture6_2.16beac952419.pdf335.31 KB
 Lecture6_3.5de679488cb8.pdf53.26 KB
 Lecture6_4.86e59f527649.pdf89.56 KB
 Lecture6_5.bcf38bc6199b.pdf56.05 KB
 0-Introduction.mp41.7 MB
 0-Introduction.srt1007 bytes
 1-Tuples.mp423.39 MB
 1-Tuples.srt17.38 KB
 2-Lists.mp430.51 MB
 2-Lists.srt19.28 KB
 3-Operations on Lists.mp422.02 MB
 3-Operations on Lists.srt13.58 KB
 4-Functions as Objects.mp419.23 MB
 4-Functions as Objects.srt16.77 KB
 Lec7Tests.07d0cb31d695.py343 bytes
 Lecture7_1.e84a6dad8924.pdf32.92 KB
 Lecture7_2.e3c8c1cf4b7c.pdf54.38 KB
 Lecture7_3.eb7eab769471.pdf52.27 KB
 Lecture7_4.715373674a95.pdf50.98 KB
 Lecture7_5.ef1ed4bc5b6d.pdf42.39 KB
 Lecture7_6.787cd92c3e8f.pdf322.33 KB
 Lecture7_7.5f26992ba21b.pdf130.96 KB
 0-Introduction.mp41.94 MB
 0-Introduction.srt1.1 KB
 1-Testing and Debugging.mp47.96 MB
 1-Testing and Debugging.srt6.03 KB
 2-Test Suites.mp412.61 MB
 2-Test Suites.srt11.15 KB
 3-Black-box Testing.mp410.06 MB
 3-Black-box Testing.srt9.33 KB
 4-Glass-box Testing.mp48.56 MB
 4-Glass-box Testing.srt7.29 KB
 Lecture8_1.735caac6f521.pdf77.19 KB
 Lecture8_2.5722fe3d43f5.pdf49.15 KB
 Lecture8_3.3582127a1ec7.pdf86.07 KB
 Lecture8_4.4607ea803de7.pdf284.42 KB
 0-Introduction.mp42.06 MB
 0-Introduction.srt1.08 KB
 1-Measuring Complexity.mp430.92 MB
 1-Measuring Complexity.srt24.46 KB
 2-Asymptotic Notation.mp411.18 MB
 2-Asymptotic Notation.srt7.85 KB
 3-Complexity Classes.mp441.78 MB
 3-Complexity Classes.srt33.02 KB
 4-Comparing Complexity Classes.mp49.9 MB
 4-Comparing Complexity Classes.srt7.71 KB
 Lecture9_1.e58314b08c80.pdf103.92 KB
 Lecture9_2.285a23a75a79.pdf56.04 KB
 Lecture9_3.9e01389f63c0.pdf54.18 KB
 Lecture9_4.211856f31882.pdf54.87 KB
 Lecture9_5.81e87854dae2.pdf42.47 KB
 0-Introduction.mp42.06 MB
 0-Introduction.srt1.13 KB
 1-Search Algorithms.mp414.68 MB
 1-Search Algorithms.srt12.93 KB
 2-Binary Search.mp422.44 MB
 2-Binary Search.srt16.62 KB
 3.0-Selection Sort Demo.mp43.71 MB
 3.0-Selection Sort Demo.srt2.6 KB
 3.1-Selection Sort.mp415.09 MB
 3.1-Selection Sort.srt12.87 KB
 Lec10_code.py3.88 KB
 Lecture10_0.0d2cb524a651.pdf76.67 KB
 Lecture10_1.fe88a04cc20f.pdf79.16 KB
 Lecture10_2.029066c50bc6.pdf65.94 KB
 Lecture10_3.39393e00f112.pdf52.56 KB
 Lecture10_4.0d91bf83edcb.pdf47.78 KB
 Lecture10_5.58d8ead2cdee.pdf35.07 KB
 Lecture10_6.382150b478c1.pdf109.91 KB
 0-Exceptions M-600X-FA12-L11-5-V2_100.mp419.11 MB
 0-Exceptions M-600X-FA12-L11-5-V2_100.srt17.56 KB
 1-Object Oriented Programming Overview.mp417.75 MB
 1-Object Oriented Programming Overview.srt19.34 KB
 2-Classes; User-Defined types.mp417.85 MB
 2-Classes; User-Defined types.srt15.84 KB
 3-Example; Class a Set of Integers.mp418.16 MB
 3-Example; Class a Set of Integers.srt14.42 KB
 4-Using Inheritance; Special Methods.mp417.14 MB
 4-Using Inheritance; Special Methods.srt12.73 KB
 Lec11_code.py3.88 KB
 Lecture11_1.e5ec4f06aff0.pdf59.66 KB
 Lecture11_3.6e6f734fe4d5.pdf49.53 KB
 Lecture11_4.33543fa0458d.pdf38.52 KB
 1-Review of Classes.mp419.7 MB
 1-Review of Classes.srt13.01 KB
 2-Example Class; A Gradebook.mp421.49 MB
 2-Example Class; A Gradebook.srt16.27 KB
 3-Generators.mp414.26 MB
 3-Generators.srt11.23 KB
 4-Example Class; Mortgage.mp417.16 MB
 4-Example Class; Mortgage.srt12.43 KB
 Lecture12_1.920a7a022f31.pdf2.33 MB
 Lecture12_3.d43a801777db.pdf38.82 KB
 plotting-seg1.f2ced5471473.py153 bytes
 plotting-seg2.882d940e8a83.py823 bytes
 plotting-seg3.16854f2f57aa.py4.74 KB
 0-Introduction.mp42.37 MB
 0-Introduction.srt1.43 KB
 1-Introduction to Plotting in Pylab.mp411.79 MB
 1-Introduction to Plotting in Pylab.srt9.67 KB
 2-Default Keywords - TA Video.mp419 MB
 2-Default Keywords - TA Video.srt13.02 KB
 3-More on Pylab Plotting.mp418.1 MB
 3-More on Pylab Plotting.srt11.94 KB
 4-Plotting Mortgages M-600X-FA12-L12-11-v2_100.mp421.97 MB
 4-Plotting Mortgages M-600X-FA12-L12-11-v2_100.srt16.55 KB
 Lecture13_1.0e749d379263.pdf28.67 KB
 Lecture13_2.87285874f3f9.pdf292.29 KB
 Lecture13_3.9a216c295b8a.pdf148.52 KB
 Lecture13_4.006457b898d3.pdf152.57 KB
 randomWalks-segment2.7f0572b6b0b9.py1.7 KB
 randomWalks-segment3.139870851c5b.py2.85 KB
 randomWalks-segment4.1899b0210916.py4.89 KB
 1-Random Walks M-600X-FA12-L13-1_100.mp410.93 MB
 1-Random Walks M-600X-FA12-L13-1_100.srt9.88 KB
 2-Drunken Walks M-600X-FA12-L13-2_100.mp421.21 MB
 2-Drunken Walks M-600X-FA12-L13-2_100.srt16.44 KB
 3-Drunken Tests M-600X-FA12-L13-3-V2_100.mp415.27 MB
 3-Drunken Tests M-600X-FA12-L13-3-V2_100.srt11.18 KB
 4-Drunken Simulations M-600X-FA12-L13-4-V2_100.mp418.53 MB
 4-Drunken Simulations M-600X-FA12-L13-4-V2_100.srt14.48 KB
 hashingExamples.e6e9b482bed3.py572 bytes
 intDict.b8d7ea675970.py1.44 KB
 Lecture14_1.e7c9b63b13cd.pdf119.61 KB
 Lecture14_2.cb3ab89b3801.pdf366.17 KB
 Lecture14_4.1f60c690628f.pdf1.4 MB
 monteCarloSimulations.348b2df187c6.py880 bytes
 rollDice.99bef914a72b.py879 bytes
 1-Rolling A Die M-600X-FA12-L14-1-V2_100.mp420.97 MB
 1-Rolling A Die M-600X-FA12-L14-1-V2_100.srt18.79 KB
 2-Introduction to Hashing.mp415.05 MB
 2-Introduction to Hashing.srt12.28 KB
 3-Using Hashing to Look Up Information.mp410.95 MB
 3-Using Hashing to Look Up Information.srt9.15 KB
 4-The Monte Carlo Method.mp424.83 MB
 4-The Monte Carlo Method.srt20.18 KB
 l15-2.65a530e20f20.py3.59 KB
 l15-3.bde60bac8d31.py2.15 KB
 Lecture15_1.pdf4.41 KB
 Lecture15_2.5abd6a03ea13.pdf302.61 KB
 Lecture15_3.e2937b13e162.pdf193.66 KB
 0-Introduction.mp411.07 MB
 0-Introduction.srt1.36 KB
 1-Law of Large Numbers.mp473.91 MB
 1-Law of Large Numbers.srt17.68 KB
 2-Law of Large Numbers.mp428.73 MB
 2-Law of Large Numbers.srt10.76 KB
 3-Standard Deviations and Histograms.mp458.55 MB
 3-Standard Deviations and Histograms.srt13.89 KB
 301836318.js677 bytes
 a.gif43 bytes
 ad-nytimes.htm108 bytes
 ad-nytimes_002.htm108 bytes
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 All.js172.36 KB
 ap-NYT2-G02.css36.9 KB
 APP.js10.42 KB
 article.css581 bytes
 BOOT.js147 bytes
 currentValue.class3.71 KB
 grau.jpg5.53 KB
 marquee.jpg65.92 KB
 MenuBar.jpg12.53 KB
 MontyHall.jpg24.62 KB
 Savant.gif16.58 KB
 wheel.jpg62.76 KB
 wheel2alt.jpg56.41 KB
 behind-monty-hall-s-doors-puzzle-debate-and-answer.html65.4 KB
 clearSim.c3875a32b650.py1.19 KB
 estPi.5c3923a8b9af.py1.41 KB
 Lecture16_1.fbc441c45402.pdf434.13 KB
 Lecture16_2.016e804ea346.pdf983.31 KB
 Lecture16_3.9ba6432c941e.pdf937.77 KB
 Lecture16_4.4aba439a8cdb.pdf7.86 MB
 Montybg.html12.55 KB
 normalDistributions.b09aa53e906b.py1.34 KB
 simMontyHall.83a846003049.py3.36 KB
 1-Normal Distributions.mp412.8 MB
 1-Normal Distributions.srt10.72 KB
 2-Uniform and Exponential Distributions.mp415.23 MB
 2-Uniform and Exponential Distributions.srt13.18 KB
 3-The Monty Hall Problem.mp411.47 MB
 3-The Monty Hall Problem.srt10.23 KB
 4.0-More on the Monty Hall Problem.mp47.03 MB
 4.1-Fun Clip from the movie 21.mp48.14 MB
 4-Estimating Pi.mp420.34 MB
 4-Estimating Pi.srt15.03 KB
 L17_code.a97537eb3aaf.py6.77 KB
 launcherData.981d3a48ecfc.txt343 bytes
 Lecture17_1.b025d31bf14f.pdf1.54 MB
 Lecture17_2.671e712316f2.pdf1.53 MB
 Lecture17_3.4d916eb30c55.pdf1.4 MB
 Lecture17_5.800f4850a1df.pdf1.39 MB
 Lecture17_6.6d6d49f4c36f.pdf1.54 MB
 springData.c03ef0d67ee3.txt240 bytes
 1-Understanding Experimental Data.mp412.79 MB
 1-Understanding Experimental Data.srt10.58 KB
 2-Errors in Experimental Observations.mp425.32 MB
 2-Errors in Experimental Observations.srt20.82 KB
 3-Curve Fitting; Finding a Model That Fits the Observations.mp414.32 MB
 3-Curve Fitting; Finding a Model That Fits the Observations.srt11.59 KB
 4-Which Curve Should We Pick.mp416.12 MB
 4-Which Curve Should We Pick.srt11.85 KB
 5-'Goodness' of Fit.mp422.38 MB
 5-'Goodness' of Fit.srt15.77 KB
 L18_code.b14c7cc1894a.py3.85 KB
 Lecture18_1.16be3d012576.pdf1.89 MB
 Lecture18_2.a652f8205f14.pdf1.93 MB
 Lecture18_4.47da50b51424.pdf1.36 MB
 Lecture18_5.f6ced54fa0fc.pdf1.33 MB
 1-Introduction.mp421.39 MB
 2-01 Knapsack Problem.mp49.85 MB
 3-The Greedy Algorithm.mp47.59 MB
 4-Finding the Optimal Solution.mp414.19 MB
 5-Expected Run Times.mp49.91 MB
 BFS.957adc186226.py500 bytes
 DFS.319ca7b71019.py1.62 KB
 graph.e34b2a9c818d.py2.02 KB
 L19_graph.770c1b1c9773.png106.07 KB
 Lecture19_1.41ffaa17bdd1.pdf663.5 KB
 Lecture19_2.9647a1d49bc0.pdf250 KB
 Lecture19_3.bf07b8ec9145.pdf715.9 KB
 Lecture19_4.f01227d187aa.pdf1.02 MB
 Lecture19_5.a28515442052.pdf2.02 MB
 Lecture19_6.c15caef2f523.pdf1.36 MB
 Lecture19_7.29dc00227640.pdf426.02 KB
 1-Graph Introduction.mp412.33 MB
 2-Graph Implementation.mp417.13 MB
 3-Simple Depth-First Search.mp412.3 MB
 4-Depth-First Search.mp413.95 MB
 5-Shortest-Path Depth-First Search.mp411.39 MB
 6-Breadth-First Search.mp411.65 MB
 7-Weighted Graphs.mp48.74 MB
 clique.1fd5d313aa4b.py3.18 KB
 Lecture20_1.e77b4a0ca34b.pdf519.19 KB
 Lecture20_2.ec1182c71981.pdf209.54 KB
 Lecture20_3.9bcaac43e474.pdf34.49 KB
 Lecture20_4.dbc86774f960.pdf161.6 KB
 puzzle.f3e997cf4409.py2.94 KB
 1-Implicit Graph Search.mp48.44 MB
 2-Implicit Graph Implementation.mp426.39 MB
 3-Maximal Cliques.mp47.6 MB
 4-Maximal Clique Solution.mp474.82 KB
 L21_code.9ad76310dd9d.py8.56 KB
 Lecture21_1.e6312a71e7f2.pdf1.34 MB
 Lecture21_2.ee5f9c4822ba.pdf1.35 MB
 Lecture21_3.71892b803b25.pdf2.02 MB
 Lecture21_4.ae4825c97234.pdf1.35 MB
 Lecture21_5.cc5c89ab7a91.pdf1.35 MB
 1-Another Look At Optimization Problems.mp414.44 MB
 2-Memoization.mp415.21 MB
 3-01 Knapsack Problem.mp424.48 MB
 4-Finding Line Breaks.mp419.35 MB
 5-Sequence Alignment M-600X-FA12-L21-5_100.mp418.61 MB
 1-Misusing Statistics.mp425.64 MB
 2-Garbage In, Garbage Out.mp412.25 MB
 3-Data Enhancement.mp417.98 MB
 0-Introduction.mp43.52 MB
 1-Computation and Medicine.mp451.02 MB
 2-Randomness in Computation.mp426.07 MB
 3-Programming a Robot.mp429.31 MB
 4-Column Oriented Database.mp436.2 MB
 5-3D Computer Graphics.mp425.96 MB
 1-Computational Thinking.mp424.02 MB
 2-Summary of 6.00x Topics.mp431.72 MB
 3-Your Growth and Future.mp411.58 MB
 MIT 6.00X TEXTBOOK by Vinay.pdf22.47 MB


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This Torrent is for all the edX MIT 6.00X students.

It includes all videos(in sequence) and lecture slides

I have added textbook of MIT 6.00x - Introduction to Computation and Programming Using Python(Fall 2012)

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EDX MIT 6.00X 2012

All Comments

Rsur
thanks... appreciate it very much. hope you can upload more edx course. :)
JamSlam
Good torrent. Thanks.
jaknap32
thankyou man you r great!!