6.00SC Introduction to Computer Science and Programming, Spring 2011

6.00SC Introduction to Computer Science and Programming, Spring 2011

37 Videos · 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.

Videos

Recitations

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50:22

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

Ganeshapillai Gartheeban

Oct 29, 2012

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2387 views

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42:12

Optional Recitation: Algorithm Complexity and Class Review

Sarina Canelake

Oct 29, 2012

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2668 views

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53:38

Recitation 5: Quiz 1 Answers and Object-Oriented Programming

Mitchell A. Peabody

Oct 29, 2012

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2924 views

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53:27

Recitation 6: Probability and Statistics

Ganeshapillai Gartheeban

Oct 29, 2012

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3502 views

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57:41

Recitation 2: Loops, Tuples, Strings and Functions

Mitchell A. Peabody

Oct 29, 2012

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2204 views

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38:29

Recitation 10: Introduction to Dynamic Programming

Mitchell A. Peabody

Oct 29, 2012

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2377 views

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47:26

Recitation 7: Distributions, Monte Carlo, and Regressions

Mitchell A. Peabody

Oct 29, 2012

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2380 views

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50:48

Recitation 8: Hierarchical and k-means Clustering

Mitchell A. Peabody

Oct 29, 2012

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2202 views

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50:23

Recitation 4: Recursion, Pseudo code and Debugging

Mitchell A. Peabody

Oct 29, 2012

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2529 views

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52:28

Recitation 1: Introduction to Coding Concepts

Mitchell A. Peabody

Oct 29, 2012

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2210 views

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50:48

Quiz 2: Review session

Mitchell A. Peabody

Oct 29, 2012

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2125 views

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49:24

Lecture 6: Recursion

Eric Grimson

Oct 29, 2012

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2944 views

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52:38

Lecture 25: Queuing Network Models

John Guttag

Oct 29, 2012

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2900 views

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41:27

Lecture 1: Introduction to 6.00

John Guttag

Oct 29, 2012

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3662 views

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49:08

Lecture 20: More Clustering

John Guttag

Oct 29, 2012

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2370 views

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49:42

Lecture 19: More Optimization and Clustering

John Guttag

Oct 29, 2012

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2415 views

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49:41

Lecture 18: Optimization Problems and Algorithms

John Guttag

Oct 29, 2012

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2743 views

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49:48

Lecture 2: Core Elements of a Program

John Guttag

Oct 29, 2012

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2535 views

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51:30

Lecture 15: Statistical Thinking

John Guttag

Oct 29, 2012

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3200 views

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50:51

Lecture 14: Sampling and Monte Carlo Simulation

John Guttag

Oct 29, 2012

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4118 views

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49:36

Lecture 11: OOP and Inheritance

John Guttag

Oct 29, 2012

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4071 views

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42:49

Lecture 13: Some Basic Probability and Plotting Data

John Guttag

Oct 29, 2012

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2303 views

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48:07

Lecture 9: Memory and Search Methods

John Guttag

Oct 29, 2012

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2267 views

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47:55

Lecture 3: Problem Solving

John Guttag

Oct 29, 2012

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2550 views

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50:23

Lecture 12: Introduction to Simulation and Random Walks

Eric Grimson

Oct 29, 2012

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2652 views

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50:17

Lecture 4: Machine Interpretation of a Program

John Guttag

Oct 29, 2012

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2235 views

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49:57

Lecture 7: Debugging

John Guttag

Oct 29, 2012

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2253 views

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50:58

Lecture 5: Objects in Python

John Guttag

Oct 29, 2012

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3542 views

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50:09

Lecture 8: Efficiency and Order of Growth

John Guttag

Oct 29, 2012

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2448 views

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50:59

Lecture 17: Curve Fitting

John Guttag

Oct 29, 2012

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2995 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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2428 views

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50:50

Lecture 21: Using Graphs to Model Problems, Part 1

John Guttag

Oct 29, 2012

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2380 views

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53:40

Lecture 23: Dynamic Programming

John Guttag

Oct 29, 2012

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2567 views

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50:04

Lecture 26: What Do Computer Scientists Do?

John Guttag

Oct 29, 2012

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2403 views

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49:35

Lecture 24: Avoiding Statistical Fallacies

John Guttag

Oct 29, 2012

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2942 views

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44:56

Lecture 10: Hashing and Classes

Mitchell A. Peabody

Oct 29, 2012

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2280 views

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48:53

Lecture 22: Using Graphs to Model Problems, Part 2

John Guttag

Oct 29, 2012

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2268 views