New courses in Electrical Engineering and Computer Science http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/index.htm 2010-03-09 MIT OpenCourseWare http://ocw.mit.edu en-US Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm Introduction to a theory that tries to explain how minds are made from collections of simpler processes. Treats such aspects of thinking as vision, language, learning, reasoning, memory, consciousness, ideals, emotions, and personality. Incorporates ideas from psychology, artificial intelligence, and computer science to resolve theoretical issues such as wholes vs parts, structural vs functional descriptions, declarative vs procedural representations, symbolic vs connectionist models, and logical vs common-sense theories of learning. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-868JSpring-2007/CourseHome/index.htm Minsky, Marvin 2009-09-28T04:53:25-04:00 6.868J MAS.731J en-US Electrical Engineering and Computer Science Cognitive Psychology and Psycholinguistics mental processes common sense thinking emotion machine human mind abstract model artificial intelligence thinking how minds work Media Arts and Sciences MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm 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. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-00Fall-2008/CourseHome/index.htm Guttag, John Grimson, Eric 2009-09-10T12:22:44-04:00 6.00 en-US Electrical Engineering and Computer Science Computer and Information Sciences, Other software engineering building computational models exceptions control flow big O notation simulation modules optimization problems algorithms libraries inheritance classes binary search recursion Python programming problem solving computation computer science MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm 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 and Poincar, integral invariants. Poincar,-Birkhoff and KAM theorems. Invariant curves. Cantori. Nonlinear resonances. Resonance overlap and transition to chaos. Properties of chaotic motion. Transport, diffusion, mixing. Symplectic integration. Adiabatic invariants. Many-dimensional systems, Arnold diffusion. Extensive use of computation to capture methods, for simulation, and for symbolic analysis. http://ocw.mit.edu/OcwWeb/Earth--Atmospheric--and-Planetary-Sciences/12-620JFall-2008/CourseHome/index.htm Wisdom, Jack Sussman, Gerald 2009-09-10T01:47:49-04:00 12.620J 8.351J 6.946J en-US Earth, Atmospheric, and Planetary Sciences Engineering Mechanics chaos resonance invariant curves kam theorem birkhoff Poincare liouville canonical transformations surfaces of section canonical equations Hamiltonian rigid bodies hamilton principle equation of motion variational principles action lagrangian phase space structure and interpretation of classical mechanics computational classical mechanics classical mechanics Physics Electrical Engineering and Computer Science MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm 6.012 is the header course for the department's "Devices, Circuits and Systems" concentration. The topics covered include: modeling of microelectronic devices, basic microelectronic circuit analysis and design, physical electronics of semiconductor junction and MOS devices, relation of electrical behavior to internal physical processes, development of circuit models, and understanding the uses and limitations of various models. The course uses incremental and large-signal techniques to analyze and design bipolar and field effect transistor circuits, with examples chosen from digital circuits, single-ended and differential linear amplifiers, and other integrated circuits. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-012Spring-2009/CourseHome/index.htm Sodini, Charles Jesus Del Alamo Akinwande, A. I. 2009-12-07T02:13:51-05:00 6.012 en-US Electrical Engineering and Computer Science Electrical, Electronics and Communications Engineering 60mV rule carrier transport holes electrons intrinsic semiconductors multistage amplifier common emitter frequency domain analysis single stage amplifier bipolar junction transistor cmos nmos digital logic mosfet mos p-n junction integrated circuit semiconductor MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm Topics on the engineering of computer software and hardware systems: techniques for controlling complexity; strong modularity using client-server design, virtual memory, and threads; networks; atomicity and coordination of parallel activities; recovery and reliability; privacy, security, and encryption; and impact of computer systems on society. Case studies of working systems and readings from the current literature provide comparisons and contrasts. Two design projects. Students engage in extensive written communication exercises. Enrollment may be limited. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-033Spring-2009/CourseHome/index.htm Morris, Robert Madden, Samuel 2009-12-07T02:10:37-05:00 6.033 en-US Electrical Engineering and Computer Science Computer Systems Networking and Telecommunications computer system design trusting trust architecture of complexity mapreduce unix therac 25 cryptography authentication security isolation atomicity reliability congestion control routing layering networks performance operating system client server modularity abstractions complexity systems design computer systems MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm This course covers concepts and techniques for the design and implementation of large software systems that can be adapted to uses not anticipated by the designer. Applications include compilers, computer-algebra systems, deductive systems, and some artificial intelligence applications. Topics include combinators, generic operations, pattern matching, pattern-directed invocation, rule systems, backtracking, dependencies, indeterminacy, memoization, constraint propagation, and incremental refinement. Substantial weekly programming assignments are an integral part of the subject. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-945Spring-2009/CourseHome/index.htm Sussman, Gerald 2009-12-07T02:08:20-05:00 6.945 en-US Electrical Engineering and Computer Science Computer Software Engineering structure and interpretation of computer programs continuations truth maintenance constraints propagation systems backtracking amb searching pattern-directed invocation language layers generic operations additive systems symbolic programming Scheme MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm This course examines electric and magnetic quasistatic forms of Maxwell's equations applied to dielectric, conduction, and magnetization boundary value problems. Topics covered include: electromagnetic forces, force densities, and stress tensors, including magnetization and polarization; thermodynamics of electromagnetic fields, equations of motion, and energy conservation; applications to synchronous, induction, and commutator machines; sensors and transducers; microelectromechanical systems; propagation and stability of electromechanical waves; and charge transport phenomena. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-641Spring-2009/CourseHome/index.htm Zahn, Markus 2009-12-29T03:50:50-05:00 6.641 en-US Electrical Engineering and Computer Science Metallurgical Engineering charge transport phenomena electromechanical waves microelectromechanical systems transducers sensors commutator machines induction synchronous energy conservation equations of motion thermodynamics polarization stress tensors force densities boundary value problems magnetization conduction dielectric Maxwell's equations quasistatic magnetic electric motion forces electromagnetic field electromagnetic MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm Participatory seminar focuses on the knowledge and skills necessary for teaching science in higher education. Topics include: theories of adult learning; course development; promoting active learning, problem solving, and critical thinking in students; communicating with a diverse student body; using educational technology to further learning; lecturing; creating effective tests and assignments; and assessment and evaluation. Students research and present a relevant topic of particular interest. Subject is appropriate for both novices and those with teaching experience. http://ocw.mit.edu/OcwWeb/Chemistry/5-95JSpring-2009/CourseHome/index.htm Mahajan, Sanjoy 2009-12-22T08:45:52-05:00 5.95J 8.395J 7.59J 6.982J 18.094J en-US Biology Science, Technology and Society course design lecture performance teaching with blackboards and slides teaching for change politics in academia planning a course evils of PowerPoint absorbing lectures designing exam questions teaching equations college-level science and engineering teaching Physics Mathematics Electrical Engineering and Computer Science Chemistry MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control, reinforcement learning/approximate optimal control, and the influence of mechanical design on control. Discussions include examples from biology and applications to legged locomotion, compliant manipulation, underwater robots, and flying machines. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-832Spring-2009/CourseHome/index.htm Tedrake, Russell 2009-12-20T09:43:44-05:00 6.832 en-US Electrical Engineering and Computer Science Computer and Information Sciences, Other actor-critic methods Q-learning temporarl difference learning model-free value methods randomized policy gradient flapping flight swimming aircraft stochastic optimal control state estimation state distribution dynamics function approximation linear quadratic regulator planning with funnels feedback motion planning probabilistic road maps rapidly-exploring randomized trees randomized motion planning motion planning Raibert hoppers spring-loaded inverted pendulum running models feedback control kneed compass gait compass gait rimless wheel walking models differential dynamic programming iterative linear quadratic regulator trajectory stabilization open-loop optimal control policy search energy shaping partial feedback linearization cart-pole acrobot minimum time control Hamilton-Jacobi-Bellman sufficiency quadratic regulator double integrator optimal control simple pendulum nonlinear dynamics actuated systems underactuated robotics MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm Introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. Multilevel implementation strategies; definition of new primitives (e.g., gates, instructions, procedures, and processes) and their mechanization using lower-level elements. Analysis of potential concurrency; precedence constraints and performance measures; pipelined and multidimensional systems. Instruction set design issues; architectural support for contemporary software structures. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-004Spring-2009/CourseHome/index.htm Ward, Steve 2009-12-20T09:43:26-05:00 6.004 en-US Electrical Engineering and Computer Science Computer and Information Systems Security RISC processor programming computer architecture finite-state machines sequential circuit combinational circuit logic gate MOS transistor digital system software structure instruction set design concurrency processes procedures instructions gates primitives computation structure computation MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm This course provides an introduction to the fundamental principles and techniques of software development that have greatest impact on practice. Topics include capturing the essence of a problem by recognizing and inventing suitable abstractions; key paradigms, including state machines, functional programming, and object-oriented programming; use of design patterns to bridge gap between models and code; the role of interfaces and specification in achieving modularity and decoupling; reasoning about code using invariants; testing, test-case generation and coverage; and essentials of programming with objects, functions, and abstract types. The course includes exercises in modeling, design, implementation and reasoning. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-005Fall-2008/CourseHome/index.htm Jackson, Daniel Miller, Robert 2009-12-16T10:03:35-05:00 6.005 en-US Electrical Engineering and Computer Science Computer Science concurrency event based programming coverage testing photo organizer sat solver midi player implement design swing subversion junit eclipse client server mvc model view controller object model module dependency state machine data abstraction decoupling invariants java java programming software development MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm This course is offered to graduate students and covers topics in five major areas of quantum optical communication: quantum optics, single-mode and two-mode quantum systems, multi-mode quantum systems, nonlinear optics, and quantum systems theory. Specific topics include the following: Dirac notation quantum mechanics; harmonic oscillator quantization; number states, coherent states, and squeezed states; P-representation and classical fields; direct, homodyne, and heterodyne detection; linear propagation loss; phase insensitive and phase sensitive amplifiers; entanglement and teleportation; field quantization; quantum photodetection; phase-matched interactions; optical parametric amplifiers; generation of squeezed states, photon-twin beams, non-classical fourth-order interference, and polarization entanglement; optimum binary detection; quantum precision measurements; and quantum cryptography. http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-453Fall-2008/CourseHome/index.htm Shapiro, Jeffrey 2009-10-20T04:22:15-04:00 6.453 en-US Electrical Engineering and Computer Science Optics/Optical Sciences and quantum teleportation. quantum cryptography quantum precision measurements and polarization entanglement. Quantum systems theory: optimum binary detection non-classical fourth-order interference photon-twin beams generation of squeezed states optical parametric amplifiers and homodyne detection. Second-order nonlinear optics: phasematched interactions heterodyne detection phase-insensitive and phase-sensitive amplifiers. Quantum photodetection: direct detection beam splitters P-representation and classical fields. Linear loss and linear amplification: commutator preservation and the Uncertainty Principle radiation field quantization and quantum field propagation and squeezed states coherent states number states harmonic oscillator quantization Quantum optics: Dirac notation quantum mechanics MIT OpenCourseWare http://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/OcwWeb/web/terms/terms/index.htm