Now showing items 72-91 of 131

    • 6.152J / 3.155J Microelectronics Processing Technology, Fall 2003 

      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, ...
    • 6.161 Modern Optics Project Laboratory, Fall 2002 

      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 ...
    • 6.163 Strobe Project Laboratory, Spring 2005 

      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 ...
    • 6.170 Laboratory in Software Engineering, Fall 2001 

      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; ...
    • 6.172 Performance Engineering of Software Systems, Fall 2009 

      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 ...
    • 6.172 Performance Engineering of Software Systems, Fall 2010 

      Amarasinghe, Saman; Leiserson, Charles (2010-12)
      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 ...
    • 6.189 A Gentle Introduction to Programming Using Python, January IAP 2010 

      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 ...
    • 6.231 Dynamic Programming and Stochastic Control, Fall 2002 

      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 ...
    • 6.231 Dynamic Programming and Stochastic Control, Fall 2008 

      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 ...
    • 6.231 Dynamic Programming and Stochastic Control, Fall 2011 

      Bertsekas, Dimitri (2011-12)
      The 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 ...
    • 6.241 Dynamic Systems & Control, Fall 2003 

      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 ...
    • 6.251J / 15.081J Introduction to Mathematical Programming, Fall 2002 

      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 ...
    • 6.253 Convex Analysis and Optimization, Spring 2004 

      Bertsekas, Dimitri (2004-06)
      6.253 develops the core analytical issues of continuous optimization, duality, and saddle point theory, using a handful of unifying principles that can be easily visualized and readily understood. The mathematical theory ...
    • 6.253 Convex Analysis and Optimization, Spring 2010 

      Bertsekas, Dimitri (2010-06)
      This course will focus on fundamental subjects in (deterministic) optimization, connected through the themes of convexity, geometric multipliers, and duality. The aim is to develop the core analytical and computational ...
    • 6.301 Solid-State Circuits, Spring 2003 

      Roberge, James; Lundberg, Kent (2003-06)
      This course covers analog circuit analysis and design, focusing on the tools and methods necessary for the creative design of useful circuits using active devices. The class stresses insight and intuition, applied to the ...
    • 6.302 Feedback Systems, Fall 2002 

      Lundberg, Kent H.; Roberge, Jim; Leeb, Steven B. (2002-12)
      Introduction to design of feedback systems. Properties and advantages of feedback systems. Time-domain and frequency-domain performance measures. Stability and degree of stability. Nyquist criterion. Frequency-domain design. ...
    • 6.334 Power Electronics, Spring 2003 

      Perreault, David John (2003-06)
      The application of electronics to energy conversion and control; phase-controlled rectifier/inverter circuits, dc/dc converters, high-frequency inverters, and motion control systems. Characteristics of power semiconductor ...
    • 6.436J / 15.085J Fundamentals of Probability, Fall 2005 

      Tsitsiklis, John (2005-12)
      This is a course on the fundamentals of probability geared towards first or second-year graduate students who are interested in a rigorous development of the subject. The course covers most of the topics in MIT course 6.431 ...
    • 6.436J / 15.085J Fundamentals of Probability, Fall 2008 

      Gamarnik, David; Tsitsiklis, John (2008-12)
      This is a course on the fundamentals of probability geared towards first- or second-year graduate students who are interested in a rigorous development of the subject. The course covers most of the topics in 6.431 (sample ...
    • 6.441 Transmission of Information, Spring 2003 

      Zheng, Lizhong; Médard, Muriel (2003-06)
      6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include: mathematical definition and properties of information; source coding ...