6.00SC Introduction to Computer Science and Programming, Spring 2011

6.00SC Introduction to Computer Science and Programming, Spring 2011

37 Lectures ยท Jan 15, 2011

About

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.

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Uploaded videos:

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41:27

Lecture 1: Introduction to 6.00

John Guttag

Oct 29, 2012

 ยท 

3654 Views

Lecture
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49:48

Lecture 2: Core Elements of a Program

John Guttag

Oct 29, 2012

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2526 Views

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47:55

Lecture 3: Problem Solving

John Guttag

Oct 29, 2012

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2543 Views

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50:17

Lecture 4: Machine Interpretation of a Program

John Guttag

Oct 29, 2012

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2226 Views

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50:58

Lecture 5: Objects in Python

John Guttag

Oct 29, 2012

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3531 Views

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49:24

Lecture 6: Recursion

Eric Grimson

Oct 29, 2012

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2934 Views

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49:57

Lecture 7: Debugging

John Guttag

Oct 29, 2012

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2245 Views

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50:09

Lecture 8: Efficiency and Order of Growth

John Guttag

Oct 29, 2012

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2441 Views

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48:07

Lecture 9: Memory and Search Methods

John Guttag

Oct 29, 2012

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2260 Views

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44:56

Lecture 10: Hashing and Classes

Mitchell A. Peabody

Oct 29, 2012

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2275 Views

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49:36

Lecture 11: OOP and Inheritance

John Guttag

Oct 29, 2012

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4033 Views

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50:23

Lecture 12: Introduction to Simulation and Random Walks

Eric Grimson

Oct 29, 2012

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2645 Views

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42:49

Lecture 13: Some Basic Probability and Plotting Data

John Guttag

Oct 29, 2012

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2297 Views

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50:51

Lecture 14: Sampling and Monte Carlo Simulation

John Guttag

Oct 29, 2012

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4109 Views

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51:30

Lecture 15: Statistical Thinking

John Guttag

Oct 29, 2012

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3191 Views

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49:43

Lecture 16: Using Randomness to Solve Non-random Problems

John Guttag

Oct 29, 2012

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2422 Views

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Lecture 17: Curve Fitting

John Guttag

Oct 29, 2012

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2986 Views

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Lecture 18: Optimization Problems and Algorithms

John Guttag

Oct 29, 2012

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2733 Views

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Lecture 19: More Optimization and Clustering

John Guttag

Oct 29, 2012

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Lecture 20: More Clustering

John Guttag

Oct 29, 2012

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2359 Views

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Lecture 21: Using Graphs to Model Problems, Part 1

John Guttag

Oct 29, 2012

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2372 Views

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Lecture 22: Using Graphs to Model Problems, Part 2

John Guttag

Oct 29, 2012

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2260 Views

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53:40

Lecture 23: Dynamic Programming

John Guttag

Oct 29, 2012

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2561 Views

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49:35

Lecture 24: Avoiding Statistical Fallacies

John Guttag

Oct 29, 2012

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2935 Views

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52:38

Lecture 25: Queuing Network Models

John Guttag

Oct 29, 2012

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2890 Views

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50:04

Lecture 26: What Do Computer Scientists Do?

John Guttag

Oct 29, 2012

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2398 Views

Lecture

Recitations

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52:28

Recitation 1: Introduction to Coding Concepts

Mitchell A. Peabody

Oct 29, 2012

 ยท 

2199 Views

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57:41

Recitation 2: Loops, Tuples, Strings and Functions

Mitchell A. Peabody

Oct 29, 2012

 ยท 

2200 Views

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50:22

Recitation 3: Lists and their Elements, Sorting, and Recursion

Ganeshapillai Gartheeban

Oct 29, 2012

 ยท 

2382 Views

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50:23

Recitation 4: Recursion, Pseudo code and Debugging

Mitchell A. Peabody

Oct 29, 2012

 ยท 

2525 Views

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53:38

Recitation 5: Quiz 1 Answers and Object-Oriented Programming

Mitchell A. Peabody

Oct 29, 2012

 ยท 

2917 Views

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53:27

Recitation 6: Probability and Statistics

Ganeshapillai Gartheeban

Oct 29, 2012

 ยท 

3497 Views

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47:26

Recitation 7: Distributions, Monte Carlo, and Regressions

Mitchell A. Peabody

Oct 29, 2012

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2371 Views

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50:48

Recitation 8: Hierarchical and k-means Clustering

Mitchell A. Peabody

Oct 29, 2012

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2195 Views

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38:29

Recitation 10: Introduction to Dynamic Programming

Mitchell A. Peabody

Oct 29, 2012

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2374 Views

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42:11

Optional Recitation: Algorithm Complexity and Class Review

Sarina Canelake

Oct 29, 2012

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2658 Views

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50:48

Quiz 2: Review session

Mitchell A. Peabody

Oct 29, 2012

 ยท 

2119 Views

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