1
Information

Syllabus

Readings

2
Lecture 1

Lecture 1: What is Computation?

Slides for Lecture 1

Code for Lecture 1 (PY)

3
Lecture 2

Lecture 2: Branching and Iteration

Slides for Lecture 2

4
Lecture 3

Lecture 3: String Manipulation, Guess and Check, Approximations, Bisection

5
Lecture 4

Lecture 4: Decomposition, Abstraction, and Functions

6
Lecture 5

Lecture 5: Tuples, Lists, Aliasing, Mutability, and Cloning

7
Lecture 6

Lecture 6: Recursion and Dictionaries

8
Lecture 7

Lecture 7: Testing, Debugging, Exceptions, and Assertions

9
Lecture 8

Lecture 8: Object Oriented Programming

10
Lecture 9

Lecture 9: Python Classes and Inheritance

11
Lecture 10

Lecture 10: Understanding Program Efficiency, Part 1

12
Lecture 11

Lecture 11: Understanding Program Efficiency, Part 2

13
Lecture 12

Lecture 12: Searching and Sorting

Education

Introduction to Computer Science and Programming in Python

A black backlit keyboard.

6.0001 is intended to teach basic programming concepts to students with no prior coding experience. (Dboybaker, licensed CC-BY-NC-SA)

Instructor(s)

Dr. Ana Bell

Prof. Eric Grimson

Prof. John Guttag

MIT Course Number

6.0001

As Taught In

Fall 2016

Level

Undergraduate

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Course Features

Course Description

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.

 

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