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Uedu Open / Introduction to Computer Science and Programming in Python
6.0001

Introduction to Computer Science and Programming in Python

Dr. Ana Bell, Prof. Eric Grimson, Prof. John Guttag | Fall 2016
Data Science, Analytics & Computer Technology Programming & Coding Algorithms and Data Structures Computer Science Engineering Programming Languages
Go to original course
CC BY-NC-SA 4.0
Course introduction
6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.
Course Information
SourceMIT 開放式課程
DepartmentElectrical Engineering and Computer Science
LanguageEnglish
Number of videos38
Course videos (38)
1
1. What is Computation?
1. What is Computation?
2
Shell vs. Editor
Shell vs. Editor
3
Python vs. Math
Python vs. Math
4
Bindings
Bindings
5
2. Branching and Iteration
2. Branching and Iteration
6
Strings
Strings
7
Comparisons
Comparisons
8
Branching
Branching
9
While Loops
While Loops
10
For Loops
For Loops
11
3. String Manipulation, Guess and Check, Approximations, Bisection
3. String Manipulation, Guess and Check, Approximations, Bisection
12
String Manipulations
String Manipulations
13
For Loops With Strings
For Loops With Strings
14
4. Decomposition, Abstraction, and Functions
4. Decomposition, Abstraction, and Functions
15
Function Calls
Function Calls
16
Functions as Arguments
Functions as Arguments
17
5. Tuples, Lists, Aliasing, Mutability, and Cloning
5. Tuples, Lists, Aliasing, Mutability, and Cloning
18
Tuples
Tuples
19
Simple Lists
Simple Lists
20
List Operations
List Operations
21
List Aliasing/Mutation
List Aliasing/Mutation
22
6. Recursion and Dictionaries
6. Recursion and Dictionaries
23
7. Testing, Debugging, Exceptions, and Assertions
7. Testing, Debugging, Exceptions, and Assertions
24
Black Box and Glass Box Testing
Black Box and Glass Box Testing
25
Errors
Errors
26
Exceptions
Exceptions
27
8. Object Oriented Programming
8. Object Oriented Programming
28
Class Definition
Class Definition
29
Class Instance
Class Instance
30
Methods
Methods
31
Method Call
Method Call
32
Special Methods
Special Methods
33
9. Python Classes and Inheritance
9. Python Classes and Inheritance
34
Getters and Setters
Getters and Setters
35
Subclass
Subclass
36
10. Understanding Program Efficiency, Part 1
10. Understanding Program Efficiency, Part 1
37
11. Understanding Program Efficiency, Part 2
11. Understanding Program Efficiency, Part 2
38
12. Searching and Sorting
12. Searching and Sorting