| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 1926 |
Lecture 3: Problem Solving (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1927 |
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
|
| 1928 |
Lecture 5: Objects in Python (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1929 |
Lecture 6: Recursion (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1930 |
Lecture 9: Memory and Search Methods (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1931 |
Lecture 7: Debugging (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1932 |
Optional Recitation: Algorithm Complexity and Class Review (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1933 |
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
|
| 1934 |
Quiz 2 Review Session (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1935 |
Recitation 10: Introduction to Dynamic Programming (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1936 |
Recitation 1: Introduction to Coding Concepts (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1937 |
Recitation 2: Loops, Tuples, Strings, and Functions (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1938 |
Recitation 3: Lists and their Elements, Sorting, and Recursion (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1939 |
Recitation 4: Recursion, Pseudo code, and Debugging (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1940 |
Recitation 5: Quiz 1 Answers and Object-Oriented Programming (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1941 |
Recitation 6: Probability and Statistics (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1942 |
|
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
|
MIT
|
Dr. Ana Bell, Prof. Eric Grimson , Prof. John Guttag.
|
Applied Sciences
|
| 1943 |
Recitation 7: Distributions, Monte Carlo, and Regressions (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1944 |
10. Understanding Program Efficiency, Part 1
|
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
|
MIT
|
Prof. Dr. Eric Grimson,
|
Applied Sciences
|
| 1945 |
Recitation 8: Hierarchical and k-means Clustering (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1946 |
11. Understanding Program Efficiency, Part 2
|
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
|
MIT
|
Prof. Dr. Eric Grimson
|
Applied Sciences
|
| 1947 |
Recitation 9: Directed and Undirected Node Graphs (M-I-T)
|
Introduction to Computer Science and Programming (Spring 2011) (M-I-T)
|
MIT
|
John Guttag
|
Applied Sciences
|
| 1948 |
12. Searching and Sorting
|
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
|
MIT
|
Prof. Dr. Eric Grimson
|
Applied Sciences
|
| 1949 |
4. Decomposition, Abstraction, and Functions
|
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
|
MIT
|
Dr. Ana Bell
|
Applied Sciences
|
| 1950 |
5. Tuples, Lists, Aliasing, Mutability, and Cloning
|
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
|
MIT
|
Dr. Ana Bell
|
Applied Sciences
|
