| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 1876 |
3. Graph-theoretic Models (M-I-T)
|
Introduction to Computational Thinking and Data Science, Fall 2016 (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1877 |
4. Stochastic Thinking (M-I-T)
|
Introduction to Computational Thinking and Data Science, Fall 2016 (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1878 |
|
Introduction to Computational Thinking and Data Science, Fall 2016 (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1879 |
6. Monte Carlo Simulation (M-I-T)
|
Introduction to Computational Thinking and Data Science, Fall 2016 (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1880 |
7. Confidence Intervals (M-I-T)
|
Introduction to Computational Thinking and Data Science, Fall 2016 (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1881 |
8. Sampling and Standard Error (M-I-T)
|
Introduction to Computational Thinking and Data Science, Fall 2016 (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1882 |
9. Understanding Experimental Data (M-I-T)
|
Introduction to Computational Thinking and Data Science, Fall 2016 (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1883 |
1 Introduction and Goals; Data Types, Operators, and Variables
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1884 |
10 Divide and Conquer Methods, Merge Sort, Exceptions
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1885 |
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1886 |
12 Debugging, Knapsack Problem, Introduction to Dynamic Programming
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1887 |
13 Dynamic Programming Overlapping Subproblems, Optimal Substructure
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1888 |
14 Introduction to Object-oriented Programming
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1889 |
Lecture 10: Hashing and Classes (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1890 |
15 Abstract Data Types, Classes and Methods
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1891 |
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
|
| 1892 |
16 Encapsulation, Inheritance, Shadowing
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1893 |
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
|
| 1894 |
17 Computational Models Random Walk Simulation
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
https://youtu.be/ZbIpjf0QEPI?list=PL4C4720A6F225E074
|
Applied Sciences
|
| 1895 |
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
|
| 1896 |
18 Presenting Simulation Results, Pylab, Plotting
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1897 |
19 Biased Random Walks, Distributions
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1898 |
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
|
| 1899 |
2 Branching, Conditionals, and Iteration
|
Introduction to Computer Science and Programming (Fall 2008 MIT)
|
MIT
|
Prof. Dr. Eric Grimson, Prof. Dr. John Guttag
|
Applied Sciences
|
| 1900 |
Lecture 15: Statistical Thinking (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
