Now showing items 41-60 of 64

    • 8.323 Relativistic Quantum Field Theory I, Spring 2008 

      Guth, Alan (2008-06)
      8.323, Relativistic Quantum Field Theory I, is a one-term self-contained subject in quantum field theory. Concepts and basic techniques are developed through applications in elementary particle physics, and condensed matter ...
    • 8.324 Quantum Field Theory II, Fall 2002 

      Hanany, Amihay (2002-12)
      Second semester of a three-semester subject sequence on quantum field theory stressing the relativistic quantum field theories relevant to the physics of the Standard Model. Develops in depth some of the topics discussed ...
    • 8.324 Relativistic Quantum Field Theory II, Fall 2005 

      Zwiebach, Barton (2005-12)
      This course is the second course of the quantum field theory trimester sequence beginning with Relativistic Quantum Field Theory I (8.323) and ending with Relativistic Quantum Field Theory III (8.325). It develops in depth ...
    • 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2005 

      Kardar, Mehran (2005-12)
      Statistical Mechanics is a probabilistic approach to equilibrium properties of large numbers of degrees of freedom. In this two-semester course, basic principles are examined. Topics include: thermodynamics, probability ...
    • 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2007 

      Kardar, Mehran (2007-12)
      Statistical Mechanics is a probabilistic approach to equilibrium properties of large numbers of degrees of freedom. In this two-semester course, basic principles are examined. Topics include: thermodynamics, probability ...
    • 8.333 Statistical Mechanics, Fall 2002 

      Todadri, Senthil (2002-12)
      8.333 is the first course in a two-semester sequence on statistical mechanics. Basic principles are examined in 8.333: the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Postulates of ...
    • 8.334 Statistical Mechanics II, Spring 2003 

      Levitov, Leonid (2003-06)
      A two-semester course on statistical mechanics. Basic principles are examined in 8.333: the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Postulates of classical statistical mechanics, ...
    • 8.334 Statistical Mechanics II: Statistical Mechanics of Fields, Spring 2004 

      Kardar, Mehran (2004-06)
      A two-semester course on statistical mechanics. Basic principles are examined in 8.333: the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Postulates of classical statistical mechanics, ...
    • 8.334 Statistical Mechanics II: Statistical Physics of Fields, Spring 2008 

      Kardar, Mehran (2008-06)
      This is the second term in a two-semester course on statistical mechanics. Basic principles are examined in 8.334, such as the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Topics from ...
    • 8.422 Atomic and Optical Physics II, Spring 2005 

      Chuang, Isaac; Ketterle, Wolfgang (2005-06)
      This is the second of a two-semester subject sequence beginning with Atomic and Optical Physics I (8.421) that provides the foundations for contemporary research in selected areas of atomic and optical physics. Topics ...
    • 8.512 Theory of Solids II, Spring 2004 

      Lee, P. A. (Patrick A.), 1946- (2004-06)
      Second term of a theoretical treatment of the physics of solids. Interacting electron gas: many-body formulation, Feynman diagrams, random phase approximation and beyond. General theory of linear response: dielectric ...
    • 8.592 Statistical Physics in Biology, Spring 2003 

      Kardar, Mehran; Mirny, Leonid A. (2003-06)
      A survey of problems at the interface of statistical physics and modern biology: Bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, phylogenetic trees. Physical interactions ...
    • 8.592J / HST.452J Statistical Physics in Biology, Spring 2005 

      Mirny, Leonid; Kardar, Mehran (2005-06)
      Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence ...
    • 8.701 Introduction to Nuclear and Particle Physics, Spring 2004 

      Surrow, Bernd (2004-06)
      The phenomenology and experimental foundations of particle and nuclear physics are explored in this course. Emphasis is on the fundamental forces and particles, as well as composites.
    • 8.811 Particle Physics II, Fall 2004 

      Chen, Min (2004-12)
      Survey of current research in High Energy Physics. Topics include electron-positron and proton-antiproton collisions; electroweak phenomena, heavy flavor physics, and high-precision tests of the Standard Model. Other topics ...
    • 8.851 Strong Interactions, Spring 2003 

      Stewart, Iain (2003-06)
      The strong force which bind quarks together is described by a relativistic quantum field theory called quantum chromodynamics (QCD). Subject surveys: The QCD Langrangian, asymptotic freedom and deep inelastic scattering, ...
    • 8.962 General Relativity, Spring 2002 

      Bertschinger, Edmund W. (2002-06)
      This course covers the basic principles of Einstein's general theory of relativity. Also discussed are differential geometry, experimental tests of general relativity, black holes, and cosmology.
    • 8.962 General Relativity, Spring 2006 

      Bertschinger, Edmund; Hughes, Scott (2006-06)
      8.962 is MIT's graduate course in general relativity, which covers the basic principles of Einstein's general theory of relativity, differential geometry, experimental tests of general relativity, black holes, and cosmology.
    • 9.29J / 8.261J Introduction to Computational Neuroscience, Spring 2002 

      Seung, H. Sebastian (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, ...
    • 9.641J / 8.594J Introduction to Neural Networks, Fall 2002 

      Seung, H. Sebastian (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 ...