MIT OCW-6.00 Fall 2008- Introduction to Computer Science and Prog. (Fixed).torrent

 

MIT OCW-6.00 Fall 2008- Introduction to Computer Science and Prog. (Fixed).torrent

 

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Torrent Contents

MIT OCW-6.00 Fall 2008- Introduction to Computer Science and Prog. (Fixed)
MIT OCW Original Files ReadMe.txt686 B
Torrent downloaded from Demonoid.com.txt47 B
ReadMe.txt4 KB
Course Readings(PDF)
Sorting- How To.pdf125 KB
Socket Programming- How To.pdf133 KB
Python Tutorial.pdf622 KB
Sums, Approximations, and Asymptotics II.pdf248 KB
Regular Expression- How To.pdf181 KB
The Python Library Reference.pdf9 MB
Whats New In Python.pdf312 KB
Unicode- How To.pdf161 KB
The Python- C API.pdf1 MB
Python Set-up and Usage.pdf385 KB
The Python Language Reference.pdf968 KB
Python FAQ.pdf705 KB
Documenting Python.pdf341 KB
Extending and Embedding Python.pdf502 KB
Distributing Python Modules.pdf620 KB
Descriptor How To Guide.pdf127 KB
Curses Programming with Python.pdf130 KB
Fetch Internet Resources Using urllib2- How To.pdf156 KB
Functional Programming- How To.pdf183 KB
Porting Extension Modules to 3.0.pdf106 KB
Installing Python Modules.pdf319 KB
Idioms and Anti-Idioms in Python.pdf124 KB
How To Think Like a Computer Scientist.pdf858 KB
Python Advocacy- How To.pdf105 KB
Use Python in the Web- How To.pdf168 KB
6.00 Fall08- Intro to Computer Sci. and Programming
Course Exams
Quiz 1.pdf110 KB
Quiz 2 Solution.pdf62 KB
Quiz 2.pdf105 KB
Quiz 3 Explanation.pdf23 KB
Quiz 1 Solution.pdf71 KB
q3.py3 KB
Final.pdf250 KB
Final Topics.pdf40 KB
Course Assignments
Problem Set 5.pdf140 KB
Problem Set 4.pdf91 KB
shapes.txt193 B
Problem Set 8.pdf91 KB
ps10.py9 KB
Problem Set 9.pdf140 KB
Problem Set 3.pdf119 KB
Problem Set 7.pdf29 KB
Problem Set 12.pdf182 KB
Problem Set 0.pdf51 KB
Problem Set 1.pdf55 KB
Getting Started.pdf98 KB
ps10_gui.py10 KB
Problem Set 11.pdf190 KB
Problem Set 10.pdf89 KB
Problem Set 2.pdf42 KB
Problem Set 6.pdf78 KB
ps8.py5 KB
ps6.py7 KB
words.txt633 KB
test_ps5.py6 KB
ps10_test.py1 KB
subjects.txt3 KB
ps5_ghost.py1 KB
ps9.py2 KB
ps12.py12 KB
ps11.py8 KB
ps2b.py468 B
ps11_visualize.py4 KB
ps5.py6 KB
ps4.py3 KB
ps3_template.py1 KB
Video Lectures
Lecture 20
Lecture20 Handout.pdf60 KB
Lec20- Monte Carlo Simulations, Estimating pi.mp4204 MB
Lecture20 Transcript.pdf98 KB
Lecture 21
Lec21- Validating Simulation Results.mp4229 MB
Lecture21 Handout.pdf46 KB
Lecture21 Transcript.pdf103 KB
Lecture 19
Lecture19 Transcript.pdf103 KB
Lec19- Biased Random Walks, Distributions.mp4212 MB
Lecture19 Handout.pdf24 KB
Lecture 18
Lecture18 Transcript.pdf100 KB
Lecture18 Handout.pdf29 KB
Lec18- Presenting Simulation Results, Pylab, Plotting.mp4225 MB
Lecture 24
Lecture24 Handout.pdf123 KB
Lec24- Course Overview; What Do Computer Scientists Do.mp4182 MB
Lecture24 Transcript.pdf110 KB
Lecture 23
Lecture23 Transcript.pdf107 KB
Lecture23 Handout.pdf25 KB
Lec23- Stock Market Simulation.mp4217 MB
Lecture 22
Lec22- Normal, Uniform, and Exponential Distributions.mp4216 MB
Lecture22 Handout.pdf115 KB
Lecture22 Transcript.pdf104 KB
Lecture 11
Lec11- Testing and Debugging.mp4208 MB
Lecture11 Handout.pdf25 KB
Lecture11 Transcript.pdf98 KB
Lecture 06
Lecture06 Handout.pdf103 KB
Lecture06 Transcript.pdf106 KB
Lec06- Bisection Methods, Newton_Raphson, Introduction to lists.mp4213 MB
Lecture 05
Lecture05- Transcript.pdf104 KB
Lecture05- Handout.pdf72 KB
Lec05- Floating Point Numbers, Successive Refinement.mp4188 MB
Lecture 07
Lec07- Lists and Mutability, Dictionaries.mp4197 MB
Lecture07 Handout.pdf31 KB
Lecture07 Transcript.pdf130 KB
Lecture 08
Lecture08 Transcript.pdf141 KB
Lecture08 Handout.pdf31 KB
Lec08- Complexity_ Log, Linear, Quadratic, Exponential Algorithms.mp4213 MB
Lecture 04
Lecture04 Transcript.pdf148 KB
Lecture04 Handout.pdf33 KB
Lec04- Abstraction through Functions; Introduction to Recursion.mp4219 MB
Lecture 02
Lecture02 Handout.pdf24 KB
Lec02- Branching,Conditionals, and Iteration.mp4216 MB
Lecture02 Transcript.pdf143 KB
Lecture 01
Lecture01 Transcript.pdf158 KB
Lec 1- Introduction and Goals.mp4227 MB
Lecture 03
Lec03- Common Code Patterns- Iterative Programs.mp4217 MB
Lecture03 Transcript.pdf140 KB
Lecture03 Handout.pdf29 KB
Lecture 09
Lec09- Binary Search, Bubble and Selection Sorts.mp4202 MB
Lecture09 Handout.pdf31 KB
Lecture09 Transcript.pdf133 KB
Lecture 15
Lec15- Abstract Data Types, Classes and Methods.mp4214 MB
Lecture15 Handout.pdf34 KB
Lecture15 Transcript.pdf129 KB
Lecture 14
Lecture14 Transcript.pdf104 KB
Lecture14 Handout.pdf25 KB
Lec14- Introduction to Object-oriented Programming.mp4215 MB
Lecture 16
Lec16- Encapsulation, Inheritance, Shadowing.mp4214 MB
Lecture16 Transcript.pdf125 KB
Lecture16 Handout.pdf36 KB
Lecture 17
Lecture17 Handout.pdf28 KB
Lec17- Computational Models-Random Walk Simulation.mp4210 MB
Lecture17 Transcript.pdf106 KB
Lecture 13
Lecture13 Transcript.pdf95 KB
Lecture13 Handout.pdf26 KB
Lec13- Dynamic Programming.mp4208 MB
Lecture 10
Lecture10 Transcript.pdf132 KB
Lecture10 Handout.pdf32 KB
Lec10- Divide and Conquer Methods, Merge Sort, Exceptions.mp4197 MB
Lecture 12
Lecture12 Transcript.pdf109 KB
Lecture12 Handout.pdf30 KB
Lec12- Debugging, Knapsack Problem.mp4212 MB

 

 

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