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Browsing Electrical Engineering and Computer Science (6) - by Title

Research and Teaching Output of the MIT Community

Browsing Electrical Engineering and Computer Science (6) - by Title

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  • Lloyd, Seth; Penfield, Paul (2003-06)
    Unified theory of information with applications to computing, communications, thermodynamics, and other sciences. Digital signals and streams, codes, compression, noise, and probability. Reversible and irreversible operations. ...
  • Kirtley, James (2007-06)
    This course is an introductory subject in the field of electric power systems and electrical to mechanical energy conversion. Electric power has become increasingly important as a way of transmitting and transforming energy ...
  • Kirtley, James L. (2003-06)
    Fundamentals of energy-handling electric circuits and electromechanical apparatus. Modeling of magnetic field devices and description of their behavior using appropriate models. Simplification of problems using transformation ...
  • Cory, David G.; Freidberg, Jeffrey P.; Parmelee, Elizabeth W. (2002-12)
    Introductory subject suitable for students with little or no previous background in electronics. Elementary network theory with op-amps, transients, second order linear systems and active filters, AM and FM modulation, ...
  • Akeju, Usman O.; Jones, Evan Philip Charles; Koch, Olivier (Olivier A.) (2008-01)
    This course is an introduction to software engineering, using the Java™ programming language; it covers concepts useful to 6.005. The focus is on developing high quality, working software that solves real problems. Students ...
  • Jones, Evan; Koch, Olivier; Cudre-Mauroux, Philippe (2009-01)
    This course is an introduction to Java programming and software engineering. It is designed for those who have little or no programming experience in Java and covers concepts useful to 6.005. The focus is on developing ...
  • Ho, Patrick; Dey, Sourav; Šćepanović, Danilo; Patel, Ankit (2009)
    This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with a computer running ...
  • Dunietz, Jesse; Malik, Radhika; Kumar, Tanmay (2009)
    This course is designed for undergraduate and graduate students in science, social science and engineering programs who need to learn fundamental programming skills quickly but not in great depth. The course is ideal for ...
  • Roscoe, Byron M. (2002-12)
    Introductory experimental laboratory explores the design, construction, and debugging of analog electronic circuits. Lectures and six laboratory projects investigate the performance characteristics of diodes, transistors, ...
  • Chandrakasan, Anantha P.; Troxel, Donald E. (2004-06)
    Lectures and labs on digital logic, flipflops, PALs, counters, timing, synchronization, finite-state machines, and microprogrammed systems prepare students for the design and implementation of a final project of their ...
  • Schmidt, Martin A.; O'Handley, Robert C., 1942-; Ruff, Susan (2003-12)
    Introduces the theory and technology of integrated-circuit fabrication. Lectures and laboratory sessions on basic processing techniques such as diffusion, oxidation, epitaxy, photolithography, chemical vapor deposition, ...
  • Warde, Cardinal (2002-12)
    Lectures, laboratory exercises, and projects in modern optics. Topics: polarization properties of light, reflection and refraction, coherence and interference, Fraunhofer and Fresnel diffraction, imaging and transforming ...
  • Bales, James Williams (2005-06)
    A project laboratory for the application of electronic flash sources to measurement and photography. First half covers fundamentals of photography and electronic flashes, including experiments on application of electronic ...
  • Jackson, Daniel; Devadas, Srinivas (2001-12)
    Introduces concepts and techniques relevant to the production of large software systems. Students taught a programming method based on the recognition and description of useful abstractions. Topics: modularity; specification; ...
  • Leiserson, Charles; Amarasinghe, Saman (2009-12)
    Modern computing platforms provide unprecedented amounts of raw computational power. But significant complexity comes along with this power, to the point that making useful computations exploit even a fraction of the ...
  • Canelake, Sarina (2010)
    This 6-unit P/D/F course will provide a gentle introduction to programming using Python for highly motivated students with little or no prior experience in programming computers over the first two weeks of IAP. The course ...
  • Bertsekas, Dimitri P. (2002-12)
    Sequential decision-making via dynamic programming. Unified approach to optimal control of stochastic dynamic systems and Markovian decision problems. Applications in linear-quadratic control, inventory control, and resource ...
  • Bertsekas, Dimitri (2008-12)
    This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and ...
  • Dahleh, Munther (2003-12)
    6.241 examines linear, discrete- and continuous-time, and multi-input-output systems in control and related areas. Least squares and matrix perturbation problems are considered. Topics covered include: state-space ...
  • Tsitsiklis, John (2002-12)
    This course offers an introduction to optimization problems, algorithms, and their complexity, emphasizing basic methodologies and the underlying mathematical structures. The main topics covered include: Theory and algorithms ...
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