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

by: MIT OCW

Publication date: 2008

Usage: Attribution-NonCommercial-ShareAlike 4.0 International

Publisher: Academic Torrents

Contributor: Academic Torrents

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.

Academictorrents_collection: video-lectures

Addeddate: 2018-07-30 20:28:14

External-identifier: urn:academictorrents:f7c9a9db5d0d9a1e0f2f383ec629fefffa475ae5

Identifier: academictorrents_f7c9a9db5d0d9a1e0f2f383ec629fefffa475ae5

Ocr: ABBYY FineReader 11.0 (Extended OCR)

Ppi: 300

Scanner: Internet Archive Python library 1.8.1

Source: http://academictorrents.com/details/f7c9a9db5d0d9a1e0f2f383ec629fefffa475ae5
torrent:urn:sha1:f7c9a9db5d0d9a1e0f2f383ec629fefffa475ae5

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

Year: 2008

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Lec 1- Introduction and Goals.mp4

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Lec02- Branching,Conditionals, and Iteration.mp4

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Lec03- Common Code Patterns- Iterative Programs.mp4

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Lec04- Abstraction through Functions; Introduction to Recursion.mp4

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Lec06- Bisection Methods, Newton_Raphson, Introduction to lists.mp4

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Lec08- Complexity_ Log, Linear, Quadratic, Exponential Algorithms.mp4

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Lec09- Binary Search, Bubble and Selection Sorts.mp4

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Lec11- Testing and Debugging.mp4

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Lec12- Debugging, Knapsack Problem.mp4

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Lec13- Dynamic Programming.mp4

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Lec14- Introduction to Object-oriented Programming.mp4

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Lec15- Abstract Data Types, Classes and Methods.mp4

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Lec16- Encapsulation, Inheritance, Shadowing.mp4

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Lec17- Computational Models-Random Walk Simulation.mp4

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Lec24- Course Overview; What Do Computer Scientists Do.mp4

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Lec02- Branching,Conditionals, and Iteration.ogv

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Lec03- Common Code Patterns- Iterative Programs.ogv

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Lec04- Abstraction through Functions; Introduction to Recursion.ogv

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Lec05- Floating Point Numbers, Successive Refinement.ogv

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Lec06- Bisection Methods, Newton_Raphson, Introduction to lists.ogv

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Lec07- Lists and Mutability, Dictionaries.ogv

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Lec08- Complexity_ Log, Linear, Quadratic, Exponential Algorithms.ogv

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Lec09- Binary Search, Bubble and Selection Sorts.ogv

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Lec10- Divide and Conquer Methods, Merge Sort, Exceptions.ogv

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Lec11- Testing and Debugging.ogv

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Lec12- Debugging, Knapsack Problem.ogv

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Lec13- Dynamic Programming.ogv

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Lec14- Introduction to Object-oriented Programming.ogv

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Lec15- Abstract Data Types, Classes and Methods.ogv

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Lec16- Encapsulation, Inheritance, Shadowing.ogv

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Lec17- Computational Models-Random Walk Simulation.ogv

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Functional Programming- How To.pdf

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How To Think Like a Computer Scientist.pdf

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Idioms and Anti-Idioms in Python.pdf

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Installing Python Modules.pdf

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Porting Extension Modules to 3.0.pdf

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Python Advocacy- How To.pdf

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Python FAQ.pdf

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Python Set-up and Usage.pdf

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The Python Language Reference.pdf

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Unicode- How To.pdf

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Sums, Approximations, and Asymptotics II_jp2.zip

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

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