Open MIT Study Library

Local MIT OCW self-study library

Open MIT Study Library

A clean self-study interface for programming, math, algorithms, and data science.

Start Beginner Track Browse All Courses

Learning tracks

The library is organized as study paths, not a raw archive. Pick the question that matches your current level.

BeginnerStart first

Beginner Track

Start programming with Python and computational thinking.

Courses
2
Order
Start first
Start
IntermediateAfter or alongside programming basics

Math Foundations Track

Discrete math, proofs, calculus, formulas, and problem solving.

Courses
2
Order
After or alongside programming basics
Start
IntermediateAfter Python basics

Data / Finance / AI Foundations Track

Programming, simulation, probability, modeling, and selected math prerequisites.

Courses
3
Order
After Python basics
Start
AdvancedAfter beginner programming and early discrete math

Advanced CS Track

Algorithms, data structures, complexity, and serious CS problem solving.

Courses
2
Order
After beginner programming and early discrete math
Start
IntermediateUse as the main roadmap

Full Roadmap

A recommended self-study sequence from beginner programming to algorithms.

Courses
6
Order
Use as the main roadmap
Start

Full roadmap

A practical order from Python basics to math foundations, data science, and algorithms.

View roadmap details
  1. 1
    6.100LBeginner

    Fundamentals of Programming

    Start here if programming is new.

    Do this first
  2. 2
    6.0001Beginner

    Intro CS with Python

    Use this if you already know a little Python or want the classic MIT intro.

    Do this first
  3. 3
    6.042JIntermediate

    Mathematics for CS

    Study propositions and proof patterns before algorithms.

    Do this first
  4. 4
    18.01Intermediate

    Single Variable Calculus

    For CS/data, prioritize derivatives, integrals, approximation, and series.

    Do this first
  5. 5
    6.0002Intermediate

    Data Science Thinking

    Do this after Python basics and selected math foundations.

    Do this first
  6. 6
    6.006Advanced

    Algorithms

    Start after 6.0001/6.100L and the early 6.042J chapters.

    Do this first

Course library

Six MIT OCW courses, ordered beginner-first.

Browse all courses
6.042JIntermediate

Mathematics for Computer Science

Builds the proof, logic, counting, graph, and probability foundations that make algorithms and data science less mysterious.

Math FoundationsData / Finance / AIAdvanced CS
Lessons
43
Assignments
10
Exams
5
Start courseDetails
18.01Intermediate

Single Variable Calculus

Gives the calculus language behind optimization, growth, change, modeling, and many data/AI methods.

Math FoundationsData / Finance / AIFull Roadmap
Lessons
21
Assignments
10
Exams
12
Start courseDetails

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Unofficial local study interface

Source materials are from MIT OpenCourseWare. This is a non-commercial local study interface. Original PDFs remain the source of truth, especially for formulas and scanned material.