Introduction to Computer Science and Programming

6.00SC Introduction to Computer Science and Programming, Spring 2011

recorded by: Massachusetts Institute of Technology, MIT
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)

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.

Categories

Top » Computer Science
Top » Computers » Programming


[syn] 3647 views, 41:27 Lecture 1: Introduction to 6.00 Lecture 1: Introduction to 6.00 John Guttag John Guttag	[syn] 2517 views, 49:48 Lecture 2: Core Elements of a Program Lecture 2: Core Elements of a Program John Guttag John Guttag	[syn] 2538 views, 47:55 Lecture 3: Problem SolvingLecture 3: Problem Solving John Guttag John Guttag	[syn] 2211 views, 50:17 Lecture 4: Machine Interpretation of a Program Lecture 4: Machine Interpretation of a Program John Guttag John Guttag	[syn] 3517 views, 50:58 Lecture 5: Objects in Python Lecture 5: Objects in Python John Guttag John Guttag
[syn] 2924 views, 49:24 Lecture 6: Recursion Lecture 6: Recursion Eric Grimson Eric Grimson	[syn] 2238 views, 49:57 Lecture 7: Debugging Lecture 7: Debugging John Guttag John Guttag	[syn] 2430 views, 50:09 Lecture 8: Efficiency and Order of GrowthLecture 8: Efficiency and Order of Growth John Guttag John Guttag	[syn] 2256 views, 48:07 Lecture 9: Memory and Search MethodsLecture 9: Memory and Search Methods John Guttag John Guttag	[syn] 2272 views, 44:56 Lecture 10: Hashing and ClassesLecture 10: Hashing and Classes Mitchell A. Peabody Mitchell A. Peabody
[syn] 4014 views, 49:36 Lecture 11: OOP and InheritanceLecture 11: OOP and Inheritance John Guttag John Guttag	[syn] 2630 views, 50:23 Lecture 12: Introduction to Simulation and Random WalksLecture 12: Introduction to Simulation and Random Walks Eric Grimson Eric Grimson	[syn] 2283 views, 42:49 Lecture 13: Some Basic Probability and Plotting DataLecture 13: Some Basic Probability and Plotting Data John Guttag John Guttag	[syn] 4100 views, 50:51 Lecture 14: Sampling and Monte Carlo SimulationLecture 14: Sampling and Monte Carlo Simulation John Guttag John Guttag	[syn] 3142 views, 51:30 Lecture 15: Statistical ThinkingLecture 15: Statistical Thinking John Guttag John Guttag 1 comment
[syn] 2404 views, 49:43 Lecture 16: Using Randomness to Solve Non-random ProblemsLecture 16: Using Randomness to Solve Non-random Problems John Guttag John Guttag	[syn] 2980 views, 50:59 Lecture 17: Curve FittingLecture 17: Curve Fitting John Guttag John Guttag	[syn] 2717 views, 49:41 Lecture 18: Optimization Problems and AlgorithmsLecture 18: Optimization Problems and Algorithms John Guttag John Guttag	[syn] 2401 views, 49:42 Lecture 19: More Optimization and ClusteringLecture 19: More Optimization and Clustering John Guttag John Guttag	[syn] 2348 views, 49:08 Lecture 20: More ClusteringLecture 20: More Clustering John Guttag John Guttag
[syn] 2364 views, 50:50 Lecture 21: Using Graphs to Model Problems, Part 1Lecture 21: Using Graphs to Model Problems, Part 1 John Guttag John Guttag	[syn] 2245 views, 48:53 Lecture 22: Using Graphs to Model Problems, Part 2Lecture 22: Using Graphs to Model Problems, Part 2 John Guttag John Guttag	[syn] 2553 views, 53:40 Lecture 23: Dynamic ProgrammingLecture 23: Dynamic Programming John Guttag John Guttag	[syn] 2931 views, 49:35 Lecture 24: Avoiding Statistical FallaciesLecture 24: Avoiding Statistical Fallacies John Guttag John Guttag	[syn] 2874 views, 52:38 Lecture 25: Queuing Network ModelsLecture 25: Queuing Network Models John Guttag John Guttag
[syn] 2392 views, 50:04 Lecture 26: What Do Computer Scientists Do?Lecture 26: What Do Computer Scientists Do? John Guttag John Guttag
Recitations
[syn] 2191 views, 52:28 Recitation 1: Introduction to Coding ConceptsRecitation 1: Introduction to Coding Concepts Mitchell A. Peabody Mitchell A. Peabody	[syn] 2193 views, 57:41 Recitation 2: Loops, Tuples, Strings and FunctionsRecitation 2: Loops, Tuples, Strings and Functions Mitchell A. Peabody Mitchell A. Peabody	[syn] 2376 views, 50:22 Recitation 3: Lists and their Elements, Sorting, and RecursionRecitation 3: Lists and their Elements, Sorting, and Recursion Ganeshapillai Gartheeban Ganeshapillai Gartheeban	[syn] 2509 views, 50:23 Recitation 4: Recursion, Pseudo code and DebuggingRecitation 4: Recursion, Pseudo code and Debugging Mitchell A. Peabody Mitchell A. Peabody	[syn] 2910 views, 53:38 Recitation 5: Quiz 1 Answers and Object-Oriented Programming Recitation 5: Quiz 1 Answers and Object-Oriented Programming Mitchell A. Peabody Mitchell A. Peabody
[syn] 3491 views, 53:27 Recitation 6: Probability and StatisticsRecitation 6: Probability and Statistics Ganeshapillai Gartheeban Ganeshapillai Gartheeban	[syn] 2361 views, 47:26 Recitation 7: Distributions, Monte Carlo, and RegressionsRecitation 7: Distributions, Monte Carlo, and Regressions Mitchell A. Peabody Mitchell A. Peabody	[syn] 2191 views, 50:48 Recitation 8: Hierarchical and k-means ClusteringRecitation 8: Hierarchical and k-means Clustering Mitchell A. Peabody Mitchell A. Peabody	[syn] 2358 views, 38:29 Recitation 10: Introduction to Dynamic Programming Recitation 10: Introduction to Dynamic Programming Mitchell A. Peabody Mitchell A. Peabody	[syn] 2653 views, 42:11 Optional Recitation: Algorithm Complexity and Class ReviewOptional Recitation: Algorithm Complexity and Class Review Sarina Canelake Sarina Canelake 1 comment
[syn] 2112 views, 50:48 Quiz 2: Review sessionQuiz 2: Review session Mitchell A. Peabody Mitchell A. Peabody