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Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
(38 Lectures Available)
S#
Lecture
Course
Institute
Instructor
Discipline
1
Lecture 10: Hashing and Classes (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
2
Lecture 11: Object Oriented Programming (OOP) and Inheritance (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
3
Lecture 12: Introduction to Simulation and Random Walks (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
4
Lecture 13: Some Basic Probability and Plotting Data (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
5
Lecture 14: Sampling and Monte Carlo Simulation (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
6
Lecture 15: Statistical Thinking (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
7
Lecture 16: Using Randomness to Solve Non-random Problems (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
8
Lecture 17: Curve Fitting (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
9
Lecture 18: Optimization Problems and Algorithms (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
10
Lecture 19: More Optimization and Clustering (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
11
Lecture 1: Introduction to Computer Science and Programming (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
12
Lecture 20: More Clustering (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
13
Lecture 21: Using Graphs to Model Problems, Part 1 (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
14
Lecture 22: Using Graphs to Model Problems, Part 2 (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
15
Lecture 23: Dynamic Programming (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
16
Lecture 24: Avoiding Statistical Fallacies (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
17
Lecture 25: Queuing Network Models (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
18
Lecture 26: What Do Computer Scientists Do? (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
19
Lecture 2: Core Elements of a Program (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
20
Lecture 3: Problem Solving (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
21
Lecture 4: Machine Interpretation of a Program (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
22
Lecture 5: Objects in Python (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
23
Lecture 6: Recursion (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
24
Lecture 7: Debugging (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
25
Lecture 8: Efficiency and Order of Growth (M-I-T)
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
MIT
John Guttag
Applied Sciences
‹
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