Unlock the magic of numbers with free math courses from MIT

Unlock the magic of numbers with free math courses from MIT

Explore 19 popular online courses, including linear algebra, probability, calculus, and computability.
Photo: iStock
MIT Open Learning

By Sara Feijo

Math isn’t just about numbers and equations. It’s a universal language that tells stories of logic, patterns, theorems, and more. In honor of Math Storytelling Day on Sept. 25 — established to encourage people to tell stories through math — discover the magic behind the numbers with 19 popular and free online courses from MIT Open Learning.

Linear Algebra

Explore how matrix theory and linear algebra can be useful in disciplines beyond mathematics — from physics, economics, and social sciences, to natural sciences and engineering.

Introduction to Probability and Statistics

Get an elementary introduction to probability and statistics with applications.

Fundamentals of Statistics

Gain a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing, and prediction.

Probability: The Science of Uncertainty and Data

Develop foundational knowledge of data science, including random processes and the basic elements of statistical inference.

Statistics for Applications

Understand the role of mathematics in the research and development of efficient statistical methods.

Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

Review linear algebra with applications to probability and statistics and optimization, and get a full explanation of deep learning.

Calculus 1A: Differentiation

Discover the ins and outs of the derivative: what it is, how to compute it, and when to apply it to solve real-world problems.

Calculus 1B: Integration

Uncover the integral and find out how to use calculus to model real-world phenomena.

Calculus 1C: Coordinate Systems & Infinite Series

Master the calculus of curves and coordinate systems, and approximate functions with polynomials and infinite series.

Single Variable Calculus

Understand differentiation and integration of functions of one variable.

Highlights of Calculus

Tune into this series of videos introducing how calculus works and why it’s important.

Take a deeper dive with the Calculus Online Textbook, the most-viewed and most-downloaded individual file in MIT OpenCourseWare’s collection.

Multivariable Calculus 1: Vectors and Derivatives

Explore the derivative in higher dimensions, and learn how to apply it to solve real-world problems.

Multivariable Calculus

Further your understanding of rates of change with differential, integral, and vector calculus for functions of more than one variable.

Real Analysis

Grasp the fundamentals of mathematical analysis, from convergence of sequences and series, continuity, and differentiability, to Riemann integral, sequences and series of functions, uniformity, and the interchange of limit operations.

Introduction to Differential Equations

Understand the world through differential equations.

Differential Equations

Learn the equations and techniques most useful in science and engineering.

Theory of Computation

Take a deep dive into computability and computational complexity theory.

Mathematics for Computer Science

Discover elementary discrete mathematics for computer science and engineering.

Math Boot Camp for Engineers

Embark on an intensive review of undergraduate-level mathematics for prospective and beginning graduate students in science and engineering.

These courses are available through MIT OpenCourseWare and MITx, which are part of MIT Open Learning. OpenCourseWare offers free, online, open educational resources from more than 2,500 courses that span the MIT undergraduate and graduate curriculum. MITx offers high-quality massive open online courses adapted from the MIT classroom for learners worldwide.


Unlock the magic of numbers with free math courses from MIT was originally published in MIT Open Learning on Medium, where people are continuing the conversation by highlighting and responding to this story.

Share

Open Learning newsletter