MIT OpenCourseWare

MIT OpenCourseWare is an innovative initiative from the Massachusetts Institute of Technology that aims to share knowledge and resources with learners around the globe. Launched in 2002, this project provides free access to a wealth of course materials from a wide range of subjects taught at MIT. It reflects the institution's commitment to advancing education and making high-quality learning resources available to anyone with an internet connection. Whether you're interested in engineering, humanities, or science, there's something for everyone to discover.

As you explore the offerings from MIT OpenCourseWare, you'll find a treasure trove of lectures, assignments, and exams that mirror the actual courses taught at one of the world's leading universities. This unique approach allows self-learners, educators, and curious minds to engage with complex topics at their own pace. So dive in, and let the wisdom of MIT's faculty guide you on your educational journey!

Highlights of Calculus

Highlights of Calculus is a series of videos that introduce the fundamental concepts of calculus to both high school and college students. R…

MIT 6.832 Underactuated Robotics, Spring 2009

Instructor: Russell Tedrake Robots today move far too conservatively, using control systems that attempt to maintain full control authority…

MIT 5.95J Teaching College-Level Science and Engineering, Spring 2009

This participatory seminar focuses on the knowledge and skills necessary for teaching science and engineering in higher education. This cour…

MIT 18.06 Linear Algebra, Spring 2005

*Please note that Lecture 4 is unavailable in a higher quality format. Instructor/speaker: Prof. Gilbert Strang View the complete course at…

MIT 8.03 Physics III: Vibrations and Waves, Fall 2004

In addition to the traditional topics of mechanical vibrations and waves, coupled oscillators, and electro-magnetic radiation, students will…

MIT 18.085 Computational Science and Engineering I, Fall 2008

This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also …

MIT 6.046J Introduction to Algorithms

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered i…

MIT 6.450 Principles of Digital Communications I (revised), Fall 2006

*This version has overhead slides that have had been adjusted for better readability. The course serves as an introduction to the theory an…

MIT 3.091 Introduction to Solid State Chemistry, Fall 2004

This course explores the basic principles of chemistry and their application to engineering systems. It deals with the relationship between …

MIT18.086S06

This graduate-level course is a continuation of Mathematical Methods for Engineers I (18.085). Topics include numerical methods; initial-val…

MIT 9.01 Neuroscience and Behavior, Fall 2003

Instructor: Prof. Gerald Schneider This course covers the relation of structure and function at various levels of neuronal integration. Top…

Calculus Revisited: Multivariable Calculus

Instructor: Herbert Gross This course is a study of the calculus of functions of several variables (vector arithmetic and vector calculus)…

MIT 9.20 Animal Behavior, Fall 2005

Instructor: Gerald Schneider Most of the major categories of adaptive behavior can be seen in all animals. This course begins with the evol…

MIT ESD.932 Engineering Ethics, Spring 2006

Instructor: Taft Broome View the complete course: http://ocw.mit.edu/ESD-932S06 License: Creative Commons BY-NC-SA More information at htt…

MIT Understanding Lasers and Fiberoptics

Lasers are essential to an incredibly large number of applications. Today, they are used in bar code readers, compact discs, medicine, commu…

MIT 2.993 Special Topics in Mechanical Engineering: The Art and Science of Boat …

Instructors: Christopher Dewart, Kurt Hasselbalch, Prof. Nicholas Patrikalakis, Reuben Smith, Antonio Dias This class is jointly sponsored …

MIT15.084JS04

This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include unconstrained and constrain…

MIT HST.512 Genomic Medicine, Spring 2004

This course reviews the key genomic technologies and computational approaches that are driving advances in prognostics, diagnostics, and tre…

MIT 8.224 Exploring Black Holes: General Relativity & Astrophysics, Spring 2003

Study of physical effects in the vicinity of a black hole as a basis for understanding general relativity, astrophysics, and elements of cos…

MIT24.261F04

This course is a seminar on the nature of love and sex, approached as topics both in philosophy and in literature. Readings from recent phil…

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