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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

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42:12

Optional Recitation: Algorithm Complexity and Class Review

Sarina Canelake

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53:38

Recitation 5: Quiz 1 Answers and Object-Oriented Programming

Mitchell A. Peabody

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53:27

Recitation 6: Probability and Statistics

Ganeshapillai Gartheeban

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57:41

Recitation 2: Loops, Tuples, Strings and Functions

Mitchell A. Peabody

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38:29

Recitation 10: Introduction to Dynamic Programming

Mitchell A. Peabody

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47:26

Recitation 7: Distributions, Monte Carlo, and Regressions

Mitchell A. Peabody

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50:48

Recitation 8: Hierarchical and k-means Clustering

Mitchell A. Peabody

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50:23

Recitation 4: Recursion, Pseudo code and Debugging

Mitchell A. Peabody

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52:28

Recitation 1: Introduction to Coding Concepts

Mitchell A. Peabody

calendar icon Oct 29, 2012 2216 views

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50:48

Quiz 2: Review session

Mitchell A. Peabody

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49:24

Lecture 6: Recursion

Eric Grimson

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49:43

Lecture 16: Using Randomness to Solve Non-random Problems

John Guttag

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52:38

Lecture 25: Queuing Network Models

John Guttag

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41:27

Lecture 1: Introduction to 6.00

John Guttag

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51:30

Lecture 15: Statistical Thinking

John Guttag

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49:08

Lecture 20: More Clustering

John Guttag

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49:42

Lecture 19: More Optimization and Clustering

John Guttag

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49:41

Lecture 18: Optimization Problems and Algorithms

John Guttag

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49:48

Lecture 2: Core Elements of a Program

John Guttag

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49:36

Lecture 11: OOP and Inheritance

John Guttag

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48:07

Lecture 9: Memory and Search Methods

John Guttag

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47:55

Lecture 3: Problem Solving

John Guttag

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50:23

Lecture 12: Introduction to Simulation and Random Walks

Eric Grimson

calendar icon Oct 29, 2012 2664 views

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49:57

Lecture 7: Debugging

John Guttag

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50:09

Lecture 8: Efficiency and Order of Growth

John Guttag

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50:59

Lecture 17: Curve Fitting

John Guttag

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50:50

Lecture 21: Using Graphs to Model Problems, Part 1

John Guttag

calendar icon Oct 29, 2012 2391 views

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53:40

Lecture 23: Dynamic Programming

John Guttag

calendar icon Oct 29, 2012 2575 views

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50:17

Lecture 4: Machine Interpretation of a Program

John Guttag

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49:35

Lecture 24: Avoiding Statistical Fallacies

John Guttag

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50:04

Lecture 26: What Do Computer Scientists Do?

John Guttag

calendar icon Oct 29, 2012 2412 views

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44:56

Lecture 10: Hashing and Classes

Mitchell A. Peabody

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48:53

Lecture 22: Using Graphs to Model Problems, Part 2

John Guttag

calendar icon Oct 29, 2012 2282 views

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50:58

Lecture 5: Objects in Python

John Guttag

calendar icon Oct 29, 2012 3551 views

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50:51

Lecture 14: Sampling and Monte Carlo Simulation

John Guttag

calendar icon Oct 29, 2012 4132 views

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42:49

Lecture 13: Some Basic Probability and Plotting Data

John Guttag

calendar icon Oct 29, 2012 2327 views

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