MIT OpenCourseWare Courses

Introduction to Algorithms (SMA 5503)

3 ratings

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

• MIT OpenCourseWare
• 30 hours
• Self-Paced
• Free Video

Theory of City Form

3 ratings

This course covers theories about the form that settlements should take and attempts a distinction between descriptive and normative theory by examining examples of various theories of city form over time.

• MIT OpenCourseWare
• 35 hours
• Self-Paced
• Free Video

Energy Decisions, Markets, and Policies

2 ratings

This course examines the choices and constraints regarding sources and uses of energy by households, firms, and governments through a number of frameworks to describe and explain behavior at various levels of aggregation.

• MIT OpenCourseWare
• 25 hours
• Self-Paced
• Free Video

Introduction to Computer Science and Programming (Fall 2008)

2 ratings

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems.

• MIT OpenCourseWare
• 20 hours
• Self-Paced
• Free Video

Computation Structures

2 ratings

This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies.

• MIT OpenCourseWare
• 19 hours
• Self-Paced
• Free Video

Speak Italian With Your Mouth Full

2 ratings

The participants in this seminar will dive into learning basic conversational Italian, Italian culture, and the Mediterranean diet.

• MIT OpenCourseWare
• 8 hours
• Self-Paced
• Free Video

Cellular Solids: Structure, Properties and Applications

2 ratings

This course reviews the processing and structure of cellular materials as they are created from polymers, metals, ceramics, glasses, and composites, develops models for the mechanical behavior of cellular solids

• MIT OpenCourseWare
• 21 hours
• Self-Paced
• Free Video

Multivariable Calculus

2 ratings

This course covers vectors and matrices, partial derivatives, double and triple integrals, and vector calculus in 2 and 3-space.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video

Differential Equations

2 ratings

This course focuses on the equations and techniques most useful in science and engineering, Differential equations.

• MIT OpenCourseWare
• 31 hours
• Self-Paced
• Free Video

Design and Analysis of Algorithms

2 ratings

Master techniques for designing efficient algorithms: divide-and-conquer, randomization, dynamic programming, greedy methods, max flow, NP-completeness, approximation and distributed algorithms, cryptography, and cache-oblivious data structures.

• MIT OpenCourseWare
• 39 hours
• Self-Paced
• Free Video

Sensory Systems

2 ratings

This course examines the neural bases of sensory perception. The focus is on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans.

• MIT OpenCourseWare
• 30 hours
• Self-Paced
• Free Video

Mathematics for Computer Science

2 ratings

This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.

• MIT OpenCourseWare
• 33 hours
• Self-Paced
• Free Video

Introduction to Solid-State Chemistry

2 ratings

In this course, we will explore what makes things in the world the way they are and why, to understand the science and consider the engineering.

• MIT OpenCourseWare
• 31 hours
• Self-Paced
• Free Video

Classical Mechanics

2 ratings

In this course, we will investigate: Force and conservation laws.

• MIT OpenCourseWare
• 18 hours
• Self-Paced
• Free Video

Introduction to Algorithms

2 ratings

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems.

• MIT OpenCourseWare
• 42 hours
• Self-Paced
• Free Video