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

video-img
50:22

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

Ganeshapillai Gartheeban

Oct 29, 2012

 · 

2394 views

video-img
42:12

Optional Recitation: Algorithm Complexity and Class Review

Sarina Canelake

Oct 29, 2012

 · 

2672 views

video-img
53:38

Recitation 5: Quiz 1 Answers and Object-Oriented Programming

Mitchell A. Peabody

Oct 29, 2012

 · 

2927 views

video-img
53:27

Recitation 6: Probability and Statistics

Ganeshapillai Gartheeban

Oct 29, 2012

 · 

3510 views

video-img
57:41

Recitation 2: Loops, Tuples, Strings and Functions

Mitchell A. Peabody

Oct 29, 2012

 · 

2208 views

video-img
38:29

Recitation 10: Introduction to Dynamic Programming

Mitchell A. Peabody

Oct 29, 2012

 · 

2381 views

video-img
47:26

Recitation 7: Distributions, Monte Carlo, and Regressions

Mitchell A. Peabody

Oct 29, 2012

 · 

2384 views

video-img
50:48

Recitation 8: Hierarchical and k-means Clustering

Mitchell A. Peabody

Oct 29, 2012

 · 

2210 views

video-img
50:23

Recitation 4: Recursion, Pseudo code and Debugging

Mitchell A. Peabody

Oct 29, 2012

 · 

2535 views

video-img
52:28

Recitation 1: Introduction to Coding Concepts

Mitchell A. Peabody

Oct 29, 2012

 · 

2212 views

video-img
50:48

Quiz 2: Review session

Mitchell A. Peabody

Oct 29, 2012

 · 

2130 views

video-img
49:24

Lecture 6: Recursion

Eric Grimson

Oct 29, 2012

 · 

2950 views

video-img
52:38

Lecture 25: Queuing Network Models

John Guttag

Oct 29, 2012

 · 

2902 views

video-img
41:27

Lecture 1: Introduction to 6.00

John Guttag

Oct 29, 2012

 · 

3672 views

video-img
49:08

Lecture 20: More Clustering

John Guttag

Oct 29, 2012

 · 

2379 views

video-img
49:42

Lecture 19: More Optimization and Clustering

John Guttag

Oct 29, 2012

 · 

2425 views

video-img
49:41

Lecture 18: Optimization Problems and Algorithms

John Guttag

Oct 29, 2012

 · 

2756 views

video-img
49:48

Lecture 2: Core Elements of a Program

John Guttag

Oct 29, 2012

 · 

2545 views

video-img
51:30

Lecture 15: Statistical Thinking

John Guttag

Oct 29, 2012

 · 

3209 views

video-img
50:51

Lecture 14: Sampling and Monte Carlo Simulation

John Guttag

Oct 29, 2012

 · 

4126 views

video-img
49:36

Lecture 11: OOP and Inheritance

John Guttag

Oct 29, 2012

 · 

4077 views

video-img
42:49

Lecture 13: Some Basic Probability and Plotting Data

John Guttag

Oct 29, 2012

 · 

2320 views

video-img
48:07

Lecture 9: Memory and Search Methods

John Guttag

Oct 29, 2012

 · 

2273 views

video-img
47:55

Lecture 3: Problem Solving

John Guttag

Oct 29, 2012

 · 

2552 views

video-img
50:23

Lecture 12: Introduction to Simulation and Random Walks

Eric Grimson

Oct 29, 2012

 · 

2660 views

video-img
50:17

Lecture 4: Machine Interpretation of a Program

John Guttag

Oct 29, 2012

 · 

2240 views

video-img
49:57

Lecture 7: Debugging

John Guttag

Oct 29, 2012

 · 

2257 views

video-img
50:58

Lecture 5: Objects in Python

John Guttag

Oct 29, 2012

 · 

3546 views

video-img
50:09

Lecture 8: Efficiency and Order of Growth

John Guttag

Oct 29, 2012

 · 

2454 views

video-img
50:59

Lecture 17: Curve Fitting

John Guttag

Oct 29, 2012

 · 

2996 views

video-img
49:43

Lecture 16: Using Randomness to Solve Non-random Problems

John Guttag

Oct 29, 2012

 · 

2435 views

video-img
50:50

Lecture 21: Using Graphs to Model Problems, Part 1

John Guttag

Oct 29, 2012

 · 

2388 views

video-img
53:40

Lecture 23: Dynamic Programming

John Guttag

Oct 29, 2012

 · 

2573 views

video-img
50:04

Lecture 26: What Do Computer Scientists Do?

John Guttag

Oct 29, 2012

 · 

2406 views

video-img
49:35

Lecture 24: Avoiding Statistical Fallacies

John Guttag

Oct 29, 2012

 · 

2952 views

video-img
44:56

Lecture 10: Hashing and Classes

Mitchell A. Peabody

Oct 29, 2012

 · 

2282 views

video-img
48:53

Lecture 22: Using Graphs to Model Problems, Part 2

John Guttag

Oct 29, 2012

 · 

2274 views