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
Recitation 3: Lists and their Elements, Sorting, and Recursion
Oct 29, 2012
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2393 views
Optional Recitation: Algorithm Complexity and Class Review
Oct 29, 2012
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2671 views
Recitation 5: Quiz 1 Answers and Object-Oriented Programming
Oct 29, 2012
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2926 views
Recitation 6: Probability and Statistics
Oct 29, 2012
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3507 views
Recitation 2: Loops, Tuples, Strings and Functions
Oct 29, 2012
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2207 views
Recitation 10: Introduction to Dynamic Programming
Oct 29, 2012
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2380 views
Recitation 7: Distributions, Monte Carlo, and Regressions
Oct 29, 2012
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2383 views
Recitation 8: Hierarchical and k-means Clustering
Oct 29, 2012
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2208 views
Recitation 4: Recursion, Pseudo code and Debugging
Oct 29, 2012
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2531 views
Recitation 1: Introduction to Coding Concepts
Oct 29, 2012
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2212 views
Quiz 2: Review session
Oct 29, 2012
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2128 views
Lecture 6: Recursion
Oct 29, 2012
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2947 views
Lecture 25: Queuing Network Models
Oct 29, 2012
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2901 views
Lecture 1: Introduction to 6.00
Oct 29, 2012
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3668 views
Lecture 20: More Clustering
Oct 29, 2012
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2377 views
Lecture 19: More Optimization and Clustering
Oct 29, 2012
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2423 views
Lecture 18: Optimization Problems and Algorithms
Oct 29, 2012
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2750 views
Lecture 2: Core Elements of a Program
Oct 29, 2012
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2542 views
Lecture 15: Statistical Thinking
Oct 29, 2012
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3207 views
Lecture 14: Sampling and Monte Carlo Simulation
Oct 29, 2012
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4124 views
Lecture 11: OOP and Inheritance
Oct 29, 2012
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4071 views
Lecture 13: Some Basic Probability and Plotting Data
Oct 29, 2012
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2318 views
Lecture 9: Memory and Search Methods
Oct 29, 2012
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2271 views
Lecture 3: Problem Solving
Oct 29, 2012
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2552 views
Lecture 12: Introduction to Simulation and Random Walks
Oct 29, 2012
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2659 views
Lecture 4: Machine Interpretation of a Program
Oct 29, 2012
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2238 views
Lecture 7: Debugging
Oct 29, 2012
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2256 views
Lecture 5: Objects in Python
Oct 29, 2012
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3544 views
Lecture 8: Efficiency and Order of Growth
Oct 29, 2012
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2449 views
Lecture 17: Curve Fitting
Oct 29, 2012
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2995 views
Lecture 16: Using Randomness to Solve Non-random Problems
Oct 29, 2012
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2431 views
Lecture 21: Using Graphs to Model Problems, Part 1
Oct 29, 2012
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2385 views
Lecture 23: Dynamic Programming
Oct 29, 2012
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2571 views
Lecture 26: What Do Computer Scientists Do?
Oct 29, 2012
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2406 views
Lecture 24: Avoiding Statistical Fallacies
Oct 29, 2012
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2949 views
Lecture 10: Hashing and Classes
Oct 29, 2012
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2281 views
Lecture 22: Using Graphs to Model Problems, Part 2
Oct 29, 2012
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2272 views