Physics (8) - Archived
The MIT Department of Physics has been a national resource since the turn of the 20th century. Our Department has been at the center of the revolution in understanding the nature of matter and energy and the dynamics of the cosmos. Our faculty - three of whom hold Nobel Prizes and 21 of whom are members of the National Academy of Sciences - include leaders in nearly every major area of physics. World leaders in science and engineering, including 10 Nobel Prize recipients, have been educated in the physics classrooms and laboratories at MIT. Alumni of the MIT Department of Physics are to be found on the faculties of the world's major universities and colleges, as well as federal research laboratories and every variety of industrial laboratories.
Our undergraduates are sought both by industry and the nation's most competitive graduate schools. Our doctoral graduates are eagerly sought for postdoctoral and faculty positions, as well as by industry.
The MIT Physics Department is one of the largest in the nation, in part because it includes astronomy and astrophysics. Our research programs include theoretical and experimental particle and nuclear physics, cosmology and astrophysics, plasma physics, theoretical and experimental condensed-matter physics, atomic physics, and biophysics. Our students - both undergraduate and graduate - have opportunities to pursue forefront research in almost any area.
All undergraduate students at MIT study mechanics, electricity and magnetism. Beyond that, our physics majors pursue a program that provides outstanding preparation for advanced education in physics and other careers. Our undergraduates have unusual opportunities for becoming involved in research, sometimes working with two different groups during their four years at MIT.
For more information, go to http://web.mit.edu/physics/ .
MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License .
Recent Submissions
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9.641J / 8.594J Introduction to Neural Networks, Fall 2002
(2002-12)Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation ... -
9.29J / 8.261J Introduction to Computational Neuroscience, Spring 2002
(2002-06)Mathematical introduction to neural coding and dynamics. Convolution, correlation, linear systems, Fourier analysis, signal detection theory, probability theory, and information theory. Applications to neural coding, ... -
12.620J / 6.946J / 8.351J Classical Mechanics: A Computational Approach, Fall 2002
(2002-12)Classical mechanics in a computational framework. Lagrangian formulation. Action, variational principles. Hamilton's principle. Conserved quantities. Hamiltonian formulation. Surfaces of section. Chaos. Liouville's theorem ...