MIT OpenCourseWare

Browse materialsMIT 6.100L · Fall 2022

Introduction to CS and Programming using Python

Subjects: Language · Programming · Python

Art: Palmer, Edward, 1803-1872, Figures 113-123. Plate Electrical Machines, 1840 · Public domain

Instructor: Dr. Ana Bell
Term: Fall 2022
Level: Undergraduate
What's inside: 27 videos · 12 problem sets · 22 solutions · 1 reading · 89 other files · 31 web pages
Materials open: Videos here · files on MIT OCW

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About this course

Source: MIT OpenCourseWare 6.100L Introduction to CS and Programming using Python, Fall 2022, Dr. Ana Bell — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

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Has MIT solutions 22 files in this course are named by MIT as solutions.

Before you start

Prerequisites are not listed here. Check MIT's own syllabus for this course.

How this course was organized

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Materials by section

Grouped by section, as MIT organized them. Not sequenced or ordered.

Instructor Insights

MIT Programmer on GenAI, Growth Mindset, and Rubber Ducks?Video Open ↗

Lecture Notes

26 files

Lecture Code

26 files

Finger Exercises

22 files

Problem Sets

MIT Programmer on GenAI, Growth Mindset, and Rubber Ducks? transcriptPDF Download

Recitations

10 files

Other materials from this course

26 video transcripts

MIT OpenCourseWare, Dr. Ana Bell, 6.100L Introduction to CS and Programming using Python, Fall 2022.

License: CC BY-NC-SA 4.0 · Edition: Fall 2022 · Open the original course on OCW ↗

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Introduction to CS and Programming using Python

Before you start

What's here, and what isn't

Not included here

Materials by section

Instructor Insights

Lecture Notes

Lecture Code

Finger Exercises

Problem Sets

Recitations

Other materials from this course

Lecture 1: Introduction to CS and Programming Using Python

Lecture 2: Strings, Input/Output, and Branching

Lecture 3: Iteration

Lecture 4: Loops over Strings, Guess-and-Check, and Binary

Lecture 5: Floats and Approximation Methods

Lecture 6: Bisection Search

Lecture 7: Decomposition, Abstraction, and Functions

Lecture 8: Functions as Objects

Lecture 9: Lambda Functions, Tuples, and Lists

Lecture 10: Lists and Mutability

Lecture 11: Aliasing and Cloning

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging

Lecture 13: Exceptions and Assertions

Lecture 14: Dictionaries

Lecture 15: Recursion

Lecture 16: Recursion on Non-numerics

Lecture 17: Python Classes

Lecture 18: More Python Class Methods

Lecture 19: Inheritance

Lecture 20: Fitness Tracker Object-Oriented Programming Example

Lecture 21: Timing Programs and Counting Operations

Lecture 22: Big Oh and Theta

Lecture 23: Complexity Classes Examples

Lecture 24: Sorting Algorithms

Lecture 25: Plotting

Lecture 26: List Access, Hashing, Simulations, and Wrap-Up

Problem Set 0

Problem Set 0 Code

Problem Set 1

Problem Set 1 Code

Problem Set 2

Problem Set 2 Code

Problem Set 3

Problem Set 3 Code

Problem Set 4

Problem Set 4 Code

Problem Set 5

Problem Set 5 Code