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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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  • Grimson, Eric; Lozano-Perez,Tomas; Szolovits, Peter; Boning, Duane (2002-12)
    Control of complexity in large programming systems. Building abstractions: computational processes; higher-order procedures; compound data; and data abstractions. Controlling interactions: generic operations; self-describing ...
  • Lang, Jeffrey (Jeffrey H.); Agarwal, Anant (2000-12)
    Fundamentals of the lumped circuit abstraction. Resistive elements and networks; independent and dependent sources; switches and MOS devices; digital abstraction; amplifiers; and energy storage elements. Dynamics of first- ...
  • Rohrs, Charles; Voldman, Joel; Gray, Paul; Zue, Victor; Willsky, Alan (2003-12)
    This course covers fundamentals of signal and system analysis, with applications drawn from filtering, audio and image processing, communications, and automatic control. Topics include convolution, Fourier series and ...
  • Freeman, Dennis (2010-06)
    6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, ...
  • Ward, Stephen A.; Terman, Christopher Jay; Pratt, Gill A. (2002-12)
    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, ...
  • Jackson, Daniel; Miller, Robert (2008-12)
    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 ...
  • Guttag, John (2007-12)
    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 ...
  • Fonstad, Clifton G.; Akinwande, Akintunde; Perrott, Michael H. (2003-12)
    Modeling of microelectronic devices, and basic microelectronic circuit analysis and design. Physical electronics of semiconductor junction and MOS devices. Relation of electrical behavior to internal physical processes; ...
  • Del Alamo, Jesus; Scholvin, Jorg (2003-06)
    Modeling of microelectronic devices, and basic microelectronic circuit analysis and design. Physical electronics of semiconductor junction and MOS devices. Relation of electrical behavior to internal physical processes; ...
  • Staelin, David H.; Kong, Jin Au, 1942-; Melcher, James R.; Zahn, Markus, 1946-; Ippen, E. P. (Erich Peter) (2002-12)
    Electromagnetic phenomena are explored in modern applications including wireless communications, circuits, computer interconnects and peripherals, optical fiber links and components, microwave communications and radar, ...
  • Kaelbling, Leslie; Abelson, Harold; Freeman, Dennis; Lozano-Pérez, Tomás; White, Jacob (2009-12)
    6.01 explores fundamental ideas in electrical engineering and computer science, in the context of working with mobile robots. Key engineering principles, such as abstraction and modularity, are applied in the design of ...
  • Freeman, Dennis M.; Weiss, Thomas Fischer; Poe, Mya (2002-12)
    Principles of mass transport and electrical signal generation for biological membranes, cells, and tissues. Mass transport through membranes: diffusion, osmosis, chemically mediated, and active transport. Electric properties ...
  • Balakrishnan, Hari; Madden, Samuel R. (Samuel Ross), 1976- (2005-06)
    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 ...
  • Winston, Patrick Henry (2002-12)
    Introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Applications of rule chaining, heuristic search, constraint ...
  • Winston, Patrick Henry (2006-12)
    6.034 is the header course for the department's "Artificial Intelligence and Applications" concentration. This course introduces students to the basic knowledge representation, problem solving, and learning methods of ...
  • Lozano-Perez, Tomas; Kaelbling, Leslie Pack; Winston, Patrick Henry (2003-06)
    Introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Applications of rule chaining, heuristic search, constraint ...
  • Amarasinghe, Saman P.; Rinard, Martin C. (2002-12)
    Analyzes issues associated with the implementation of higher-level programming languages. Fundamental concepts, functions, and structures of compilers. The interaction of theory and practice. Using tools in building software. ...
  • Medard, Muriel; Tsitsiklis, John N.; Bertsekas, Dimitri P.; Abou Faycal, Ibrahim C. (Ibrahim Chafik) (2002-12)
    Modeling, quantification, and analysis of uncertainty. Formulation and solution in sample space. Random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit ...
  • Bertsekas, Dimitri; Tsitsiklis, John; Médard, Muriel (2005-06)
    This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: ...
  • Nagpal, Radhika; Meyer, Albert R. (2002-12)
    This is an introductory course in Discrete Mathematics oriented toward Computer Science and Engineering. The course divides roughly into thirds: Fundamental concepts of Mathematics: definitions, proofs, sets, functions, ...
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