MIT OCW 6.00 - Introduction to Computer Science and Programming - Fall 2008

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MIT OCW 6.00 - Introduction to Computer Science and Programming - Fall 2008 (Size: 5 GB)
  Curses Programming with Python.pdf 130.5 KB
  Descriptor How To Guide.pdf 127.4 KB
  Distributing Python Modules.pdf 620.7 KB
  Documenting Python.pdf 341.3 KB
  Extending and Embedding Python.pdf 502.8 KB
  Fetch Internet Resources Using urllib2- How To.pdf 156.2 KB
  Final Topics.pdf 40.2 KB
  Final.pdf 250.4 KB
  Functional Programming- How To.pdf 183.8 KB
  Getting Started.pdf 98.4 KB
  How To Think Like a Computer Scientist.pdf 858.1 KB
  Idioms and Anti-Idioms in Python.pdf 124.5 KB
  Installing Python Modules.pdf 319.9 KB
  Lec 1- Introduction and Goals.mp4 227.9 MB
  Lec02- Branching,Conditionals, and Iteration.mp4 216.5 MB
  Lec03- Common Code Patterns- Iterative Programs.mp4 217.2 MB
  Lec04- Abstraction through Functions; Introduction to Recursion.mp4 219.2 MB
  Lec05- Floating Point Numbers, Successive Refinement.mp4 188.3 MB
  Lec06- Bisection Methods, Newton_Raphson, Introduction to lists.mp4 213.7 MB
  Lec07- Lists and Mutability, Dictionaries.mp4 197.5 MB
  Lec08- Complexity_ Log, Linear, Quadratic, Exponential Algorithms.mp4 213.2 MB
  Lec09- Binary Search, Bubble and Selection Sorts.mp4 202.3 MB
  Lec10- Divide and Conquer Methods, Merge Sort, Exceptions.mp4 197.2 MB
  Lec11- Testing and Debugging.mp4 208.6 MB
  Lec12- Debugging, Knapsack Problem.mp4 212 MB
  Lec13- Dynamic Programming.mp4 208.4 MB
  Lec14- Introduction to Object-oriented Programming.mp4 215.4 MB
  Lec15- Abstract Data Types, Classes and Methods.mp4 214.7 MB
  Lec16- Encapsulation, Inheritance, Shadowing.mp4 214.6 MB
  Lec17- Computational Models-Random Walk Simulation.mp4 210.3 MB
  Lec18- Presenting Simulation Results, Pylab, Plotting.mp4 225.3 MB
  Lec19- Biased Random Walks, Distributions.mp4 212.5 MB
  Lec20- Monte Carlo Simulations, Estimating pi.mp4 204.1 MB
  Lec21- Validating Simulation Results.mp4 229.1 MB
  Lec22- Normal, Uniform, and Exponential Distributions.mp4 216.5 MB
  Lec23- Stock Market Simulation.mp4 217.9 MB
  Lec24- Course Overview; What Do Computer Scientists Do.mp4 182.5 MB
  Lecture01 Transcript.pdf 158.4 KB
  Lecture02 Handout.pdf 24.9 KB
  Lecture02 Transcript.pdf 143.8 KB
  Lecture03 Handout.pdf 29.7 KB
  Lecture03 Transcript.pdf 140.1 KB
  Lecture04 Handout.pdf 33.8 KB
  Lecture04 Transcript.pdf 148.9 KB
  Lecture05- Handout.pdf 72.6 KB
  Lecture05- Transcript.pdf 104.1 KB
  Lecture06 Handout.pdf 103.7 KB
  Lecture06 Transcript.pdf 106.8 KB
  Lecture07 Handout.pdf 31.7 KB
  Lecture07 Transcript.pdf 130.1 KB
  Lecture08 Handout.pdf 31.7 KB
  Lecture08 Transcript.pdf 142 KB
  Lecture09 Handout.pdf 31.6 KB
  Lecture09 Transcript.pdf 133.5 KB
  Lecture10 Handout.pdf 32.1 KB
  Lecture10 Transcript.pdf 132.2 KB
  Lecture11 Handout.pdf 25.5 KB
  Lecture11 Transcript.pdf 98.9 KB
  Lecture12 Handout.pdf 30.5 KB
  Lecture12 Transcript.pdf 109 KB
  Lecture13 Handout.pdf 26.2 KB
  Lecture13 Transcript.pdf 95.2 KB
  Lecture14 Handout.pdf 25.4 KB
  Lecture14 Transcript.pdf 104.9 KB
  Lecture15 Handout.pdf 34.1 KB
  Lecture15 Transcript.pdf 129.9 KB
  Lecture16 Handout.pdf 36.2 KB
  Lecture16 Transcript.pdf 125.3 KB
  Lecture17 Handout.pdf 28.6 KB
  Lecture17 Transcript.pdf 106.9 KB
  Lecture18 Handout.pdf 29 KB
  Lecture18 Transcript.pdf 100.5 KB
  Lecture19 Handout.pdf 24.4 KB
  Lecture19 Transcript.pdf 103.5 KB
  Lecture20 Handout.pdf 60.7 KB
  Lecture20 Transcript.pdf 98.3 KB
  Lecture21 Handout.pdf 46.6 KB
  Lecture21 Transcript.pdf 103 KB
  Lecture22 Handout.pdf 115.4 KB
  Lecture22 Transcript.pdf 104.4 KB
  Lecture23 Handout.pdf 25.7 KB
  Lecture23 Transcript.pdf 108 KB
  Lecture24 Handout.pdf 124 KB
  Lecture24 Transcript.pdf 110.4 KB
  MIT OCW Original Files ReadMe.txt 716.8 B
  Porting Extension Modules to 3.0.pdf 106.1 KB
  Problem Set 0.pdf 51.8 KB
  Problem Set 1.pdf 55.4 KB
  Problem Set 10.pdf 90 KB
  Problem Set 11.pdf 190.5 KB
  Problem Set 12.pdf 182.6 KB
  Problem Set 2.pdf 42.6 KB
  Problem Set 3.pdf 119.6 KB
  Problem Set 4.pdf 91.1 KB
  Problem Set 5.pdf 140.4 KB
  Problem Set 6.pdf 78.2 KB
  Problem Set 7.pdf 29.2 KB
  Problem Set 8.pdf 91 KB
  Problem Set 9.pdf 140.8 KB
  Python Advocacy- How To.pdf 105.9 KB
  Python FAQ.pdf 705.9 KB
  Python Set-up and Usage.pdf 385.9 KB
  Python Tutorial.pdf 622.4 KB
  Quiz 1 Solution.pdf 71.6 KB
  Quiz 1.pdf 110.5 KB
  Quiz 2 Solution.pdf 62 KB
  Quiz 2.pdf 105.4 KB
  Quiz 3 Explanation.pdf 23.8 KB
  ReadMe.txt 4.4 KB
  Regular Expression- How To.pdf 181.3 KB
  Socket Programming- How To.pdf 133.4 KB
  Sorting- How To.pdf 125.4 KB
  Sums, Approximations, and Asymptotics II.pdf 248.8 KB
  The Python Language Reference.pdf 968.6 KB
  The Python Library Reference.pdf 9.4 MB
  The Python- C API.pdf 1.4 MB
  Torrent downloaded from Demonoid.com.txt 0 B
  Unicode- How To.pdf 161.9 KB
  Use Python in the Web- How To.pdf 168.1 KB
  Whats New In Python.pdf 312.3 KB
  ps10.py 9.6 KB
  ps10_gui.py 10.3 KB
  ps10_test.py 1.7 KB
  ps11.py 8.4 KB
  ps11_visualize.py 4.5 KB
  ps12.py 12 KB
  ps2b.py 512 B
  ps3_template.py 1.4 KB
  ps4.py 3.7 KB
  ps5.py 6.7 KB
  ps5_ghost.py 1.4 KB
  ps6.py 7.4 KB
  ps8.py 5.9 KB
  ps9.py 2.7 KB
  q3.py 4 KB
  shapes.txt 204.8 B
  subjects.txt 3.2 KB
  test_ps5.py 6.4 KB
  words.txt 633.6 KB
  ▲ 139 total files

Description


This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python? programming language.

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00-introduction-to-computer-science-and-programming-fall-2008/

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