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MIT OpenCourseWare is an initiative to make course materials from all MIT subjects freely available on the web, so that anyone can access and use them.
This introductory calculus course covers differentiation and integration of functions of one variable, with applications.
This course focuses on science and technology innovation system, including case studies on energy, computing, advanced manufacturing, and health sectors, with an emphasis on public policy and the federal government's role in that system.
This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies.
The course focuses on the exploration of current research in cell biology, immunology, neurobiology, genomics, and molecular medicine.
This course examines the chemical and physical properties of the cell, with special emphasis on the structures of proteins and principles of catalysis.
This course provides an introduction to the chemistry of biological, inorganic, and organic molecules.
This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.
This unique and popular course satisfies MIT's general chemistry degree requirement, with an emphasis on solid-state materials and their application to engineering systems.
The purpose of the class is to expose students to the mathematical concepts and techniques used in the financial industry. Mathematics lectures are mixed with lectures illustrating the corresponding application in the financial industry.
This subject deals primarily with equilibrium properties of macroscopic systems, basic thermodynamics, chemical equilibrium of reactions in gas and solution phase, and rates of chemical reactions.
The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.
This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.
In this course you will learn parallel treatments of photons, electrons, phonons, and molecules as energy carriers, aiming at fundamental understanding and descriptive tools for energy and heat transport processes from nanoscale continuously to macroscal…
This course is an introduction to quantum mechanics for use by chemists. Emphasis is on creating and building confidence in the use of intuitive pictures.
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