Introduction to Computer Science and Programming in Python | Electrical Engineering and Computer Science | MIT OpenCourseWare

Lecture Notes

Lecture 1 Code

Lecture 1: Welcome

Lecture 2 Code

Lecture 2: Branching, Iteration

Lecture 3 Code

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

Lecture 4 Code

Lecture 4: Decomposition, Abstraction, Functions

Lecture 5 Code

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

Lecture 6 Code

Lecture 6: Recursion, Dictionaries

Lecture 7 Code

Lecture 7: Testing, Debugging, Exceptions, Assertions

Lecture 8 Code

Lecture 8: Object Oriented Programming

Lecture 9 Code

Lecture 9: Python Classes and Inheritance

Lecture 10 Code

Lecture 10: Understanding Program Efficiency: 1

Lecture 11 Code

Lecture 11: Understanding Program Efficiency: 2

Lecture 12 Code

Lecture 12: Searching and Sorting Algorithms

Course Info

Instructors

Departments

Electrical Engineering and Computer Science

As Taught In

Fall 2016

Level

Undergraduate

Course Info

Instructors

Departments

Electrical Engineering and Computer Science

As Taught In

Fall 2016

Level

Undergraduate

Topics

Engineering
- Computer Science
  - Algorithms and Data Structures
  - Programming Languages

Topics

Learning Resource Types

Lecture Notes

Lecture Videos

Problem Sets

Programming Assignments with Examples

Download Course

MIT Open Learning

Over 2,500 courses & materials

Freely sharing knowledge with learners and educators around the world. Learn more

© 2001–2026 Massachusetts Institute of Technology

Accessibility

Creative Commons License

Terms and Conditions

Proud member of:

© 2001–2026 Massachusetts Institute of Technology