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Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
(38 Lectures Available)
S#
Lecture
Course
Institute
Instructor
Discipline
1
1. What is Computation
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell, Prof. Eric Grimson , Prof. John Guttag.
Applied Sciences
2
10. Understanding Program Efficiency, Part 1
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Prof. Dr. Eric Grimson,
Applied Sciences
3
11. Understanding Program Efficiency, Part 2
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Prof. Dr. Eric Grimson
Applied Sciences
4
12. Searching and Sorting
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Prof. Dr. Eric Grimson
Applied Sciences
5
4. Decomposition, Abstraction, and Functions
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
6
5. Tuples, Lists, Aliasing, Mutability, and Cloning
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
7
6. Recursion and Dictionaries
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Prof. Dr. Eric Grimson
Applied Sciences
8
7. Testing, Debugging, Exceptions, and Assertions
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
9
8. Object Oriented Programming
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
10
9. Python Classes and Inheritance
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
11
Bindings
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell, Prof. Dr. Eric Grimson, Prof. Dr. John Guttag.
Applied Sciences
12
Black Box and Glass Box Testing
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
13
Branching
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell, Prof. Dr. Eric Grimson, Prof. Dr. John Guttag.
Applied Sciences
14
Branching and Iteration
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell, Prof. Dr. Eric Grimson, Prof. Dr. John Guttag.
Applied Sciences
15
Class Definition
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
16
Class Instance
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
17
Comparisons
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell, Prof. Dr. Eric Grimson, Prof. Dr. John Guttag.
Applied Sciences
18
Errors
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
19
Exceptions
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
20
For Loops
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell, Prof. Dr. Eric Grimson, Prof. Dr. John Guttag.
Applied Sciences
21
For Loops With Strings
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell, Prof. Dr. Eric Grimson, Prof. Dr. John Guttag.
Applied Sciences
22
Function Calls
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
23
Functions as Arguments
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
24
Getters and Setters
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
25
List Aliasing Mutation
Introduction to Computer Science and Programming in Python . Fall 2016 (MIT)
MIT
Dr. Ana Bell
Applied Sciences
‹
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