Registrar Home | Registrar Search:
 
  MIT Course Picker | MIT Course Planner     
Home | Subject Search | Help | Symbols Help | Pre-Reg Help | Final Exam Schedule
 

Course 6: Electrical Engineering and Computer Science
Fall 2016


Electronics, Computers, and Systems

6.301 Solid-State Circuits
______

Undergrad (Fall)
Prereq: 6.012
Units: 3-2-7
URL: http://web.mit.edu/6.301/www/
Lecture: TR1-2.30 (32-124)
______
Analysis and design of transistor circuits, based directly on the semiconductor physics and transistor circuit models developed in 6.012. High-frequency and low-frequency design calculations and simulation of multistage transistor circuits. Trans-linear circuits. Introduction to operational-amplifier design and application. Some previous laboratory experience assumed.
H. S. Lee
Textbooks (Fall 2016)

6.302 Feedback System Design
______

Undergrad (Spring)
(Subject meets with 6.320)
Prereq: 6.003, 2.003, or 16.002
Units: 4-2-6
URL: http://web.mit.edu/6.302/www/
______
Learn-by-design introduction to continuous and discrete-time system modeling and feedback control. Topics include performance metrics; time- and frequency-domain model extraction and classical control; and basic state-space control. Students apply the control concepts in weekly labs and in a midterm project. Labs involve designing circuits and software, and using sensors and a high-performance microcontroller, to address control problems, such as positioning a motor- or propeller-actuated robot arm, reducing distortion in a PWM-based audio amplifier, eliminating field crosstalk for a magnetic-resonance imager, stabilizing magnetic levitation, balancing a two-wheel vehicle. Students taking graduate version complete additional assignments and an extra lab on observer-based state-space control. Intended for students who have previous laboratory experience with electronic systems.
J. D. Steinmeyer, J. K. White

6.320 Feedback System Design
(New)
______

Graduate (Spring)
(Subject meets with 6.302)
Prereq: 6.003, 2.004, 2.04A, or 16.002
Units: 4-2-6
______
Learn-by-design introduction to continuous and discrete-time system modeling and feedback control. Topics include performance metrics; time- and frequency-domain model extraction and classical control; and basic state-space control. Students apply the control concepts in weekly labs and in a midterm project. Labs involve designing circuits and software, and using sensors and a high-performance microcontroller, to address control problems, such as positioning a motor- or propeller-actuated robot arm, reducing distortion in a PWM-based audio amplifier, eliminating field crosstalk for a magnetic-resonance imager, stabilizing magnetic levitation, balancing a two-wheel vehicle. Students taking graduate version complete additional assignments and an extra lab on observer-based state-space control. Intended for students who have previous laboratory experience with electronic systems. students taking graduate version complete additional assignments.
J. D. Steinmeyer, J. K. White

6.332, 6.333 Advanced Topics in Circuits
______

Graduate (Fall, Spring) Can be repeated for credit
Not offered regularly; consult department
Prereq: Permission of instructor
Units: 3-0-9
6.332: URL: https://www.eecs.mit.edu//academics-admissions/academic-information/subject-updates-st-2013?shib-logout=1
______
Advanced study of topics in circuits. Specific focus varies from year to year. Consult department for details.
Consult Department

6.334 Power Electronics
______

Graduate (Spring)
Prereq: 6.012
Units: 3-0-9
URL: http://web.mit.edu/course/6/6.334/
______
The application of electronics to energy conversion and control. Modeling, analysis, and control techniques. Design of power circuits including inverters, rectifiers, and dc-dc converters. Analysis and design of magnetic components and filters. Characteristics of power semiconductor devices. Numerous application examples, such as motion control systems, power supplies, and radio-frequency power amplifiers.
D. J. Perreault

6.335[J] Fast Methods for Partial Differential and Integral Equations
______

Graduate (Fall)
(Same subject as 18.336[J])
Prereq: 6.336, 16.920, 18.085, 18.335, or permission of instructor
Units: 3-0-9
Lecture: MW9.30-11 (2-146)
______
Unified introduction to the theory and practice of modern, near linear-time, numerical methods for large-scale partial-differential and integral equations. Topics include preconditioned iterative methods; generalized Fast Fourier Transform and other butterfly-based methods; multiresolution approaches, such as multigrid algorithms and hierarchical low-rank matrix decompositions; and low and high frequency Fast Multipole Methods. Example applications include aircraft design, cardiovascular system modeling, electronic structure computation, and tomographic imaging.
C. Perez
No required or recommended textbooks

6.336[J] Introduction to Numerical Simulation
______

Graduate (Fall)
(Same subject as 2.096[J], 16.910[J])
Prereq: 18.03 or 18.06
Units: 3-3-6
Lecture: MW1-2.30 (32-141)
______
Introduction to computational techniques for the simulation of a large variety of engineering and physical systems. Applications are drawn from aerospace, mechanical, electrical, chemical engineering, biology, and materials science. Topics include mathematical formulations (techniques for automatic assembly of mathematical problems from physics' principles); sparse, direct and iterative solution techniques for linear systems; Newton and Homotopy methods for nonlinear problems; discretization methods for ordinary, time-periodic and partial differential equations; accelerated methods for integral equations; techniques for automatic generation of compact dynamical system models and model order reduction.
L. Daniel, J. K. White
No required or recommended textbooks

6.337[J] Introduction to Numerical Methods
______

Graduate (Spring)
(Same subject as 18.335[J])
Prereq: 18.06, 18.700, or 18.701
Units: 3-0-9
URL: http://math.mit.edu/classes/18.335
______
Advanced introduction to numerical analysis. Surveys major topics that arise at various levels of solving classic numerical problems, such as systems of linear equations, eigenvalue equations, and least squares problems. Specific topics include matrix factorizations (QR, SVD, LU, Cholesky); direct and iterative methods to solve linear systems (Gaussian elimination, Krylov subspace methods); numerical algorithms to solve eigenvalue equations (Rayleigh quotient iteration, inverse iteration, QR algorithm); conditioning of problems and stability of algorithms; and floating point arithmetic.
W. Shin

6.338[J] Parallel Computing
______

Graduate (Fall)
(Same subject as 18.337[J])
Prereq: 18.06, 18.700, or 18.701
Units: 3-0-9
URL: http://beowulf.csail.mit.edu/18.337/index.html
Lecture: MW2-3.30 (4-237)
______
Interdisciplinary introduction to computing with Julia. Covers scientific computing and data analysis problems. Combines knowledge from computer science and computational science illustrating Julia's new approach to scientific computing. Sample scientific computing topics include dense and sparse linear algebra, Fourier transforms, data handling, and N-body problems. Provides direct experience with programming traditional-style supercomputing as well as working with modern cloud computing stacks.
A. Edelman
No textbook information available

6.339[J] Numerical Methods for Partial Differential Equations
______

Graduate (Fall)
(Same subject as 2.097[J], 16.920[J])
Prereq: 18.03 or 18.06
Units: 3-0-9
Lecture: MW9.30-11 (4-163)
______
Covers the fundamentals of modern numerical techniques for a wide range of linear and nonlinear elliptic, parabolic, and hyperbolic partial differential and integral equations. Topics include mathematical formulations; finite difference, finite volume, finite element, and boundary element discretization methods; and direct and iterative solution techniques. The methodologies described form the foundation for computational approaches to engineering systems involving heat transfer, solid mechanics, fluid dynamics, and electromagnetics. Computer assignments requiring programming.
Q. Wang, J. K. White
No textbook information available

6.341 Discrete-Time Signal Processing
______

Graduate (Fall)
Prereq: 6.011
Units: 4-0-8
URL: http://web.mit.edu/6.341/www/
Lecture: TR11-12.30 (32-124) Recitation: F11 (4-145) or F2 (4-145) +final
______
Representation, analysis, and design of discrete time signals and systems. Decimation, interpolation, and sampling rate conversion. Noise shaping. Flowgraph structures for DT systems. Lattice filters. Time- and frequency-domain design techniques for IIR and FIR filters. Parametric signal modeling, linear prediction, and the relation to lattice filters. Discrete Fourier transform (DFT). Computation of the DFT including FFT algorithms. Short-time Fourier analysis and relation to filter banks. Multirate techniques. Perfect reconstruction filter banks and their relation to wavelets.
A. V. Oppenheim, J. Ward
Textbooks (Fall 2016)

6.344 Digital Image Processing
______

Graduate (Spring)
Prereq: 6.003, 6.041B
Units: 3-0-9
______
Digital images as two-dimensional signals. Digital signal processing theories used for digital image processing, including one-dimensional and two-dimensional convolution, Fourier transform, discrete Fourier transform, and discrete cosine transform. Image processing basics. Image enhancement. Image restoration. Image coding and compression. Video processing including video coding and compression. Additional topics including digital high-definition television systems.
J. S. Lim

6.345[J] Automatic Speech Recognition
______

Not offered academic year 2017-2018Graduate (Spring)
(Same subject as HST.728[J])
Prereq: 6.011, 6.036
Units: 3-1-8
URL: http://courses.csail.mit.edu/6.345/
______
Introduces the rapidly developing fields of automatic speech recognition and spoken language processing. Topics include acoustic theory of speech production, acoustic-phonetics, signal representation, acoustic and language modeling, search, hidden Markov modeling, deep neural networks, system robustness, adaptation, and other related speech processing topics. Lecture material intersperses theory with practice. Includes problem sets, laboratory exercises, and opened-ended term project.
V. W. Zue, J. R. Glass

6.347, 6.348 Advanced Topics in Signals and Systems
______

Graduate (Fall, Spring) Can be repeated for credit
Not offered regularly; consult department
Prereq: Permission of instructor
Units: 3-0-9
6.348: URL: http://www.eecs.mit.edu/academics-admissions/academic-information/subject-updates-ft-2014
______
Advanced study of topics in signals and systems. Specific focus varies from year to year.
Consult Department

6.374 Analysis and Design of Digital Integrated Circuits
______

Graduate (Fall)
Prereq: 6.012, 6.004
Units: 3-3-6
Lecture: TR11-12.30 (34-302) Lab: TBA
______
Device and circuit level optimization of digital building blocks. MOS device models including Deep Sub-Micron effects. Circuit design styles for logic, arithmetic, and sequential blocks. Estimation and minimization of energy consumption. Interconnect models and parasitics, device sizing and logical effort, timing issues (clock skew and jitter), and active clock distribution techniques. Memory architectures, circuits (sense amplifiers), and devices. Testing of integrated circuits. Extensive custom and standard cell layout and simulation in design projects and software labs.
V. Sze, A. P. Chandrakasan
Textbooks (Fall 2016)

6.375 Complex Digital Systems Design
______

Not offered academic year 2016-2017Graduate (Spring)
Prereq: 6.004
Units: 5-5-2
______
Introduction to the design and implementation of large-scale digital systems using hardware description languages and high-level synthesis tools in conjunction with standard commercial electronic design automation (EDA) tools. Emphasizes modular and robust designs, reusable modules, correctness by construction, architectural exploration, meeting area and timing constraints, and developing functional field-programmable gate array (FPGA) prototypes. Extensive use of CAD tools in weekly labs serve as preparation for a multi-person design project on multi-million gate FPGAs. Enrollment may be limited.
Arvind

Probabilistic Systems and Communication

6.431A Introduction to Probability I
(New)
______

Graduate (Fall, Spring); first half of term
(Subject meets with 6.041A)
Prereq: Calculus II (GIR)
Units: 2-0-4
Ends Oct 21. Lecture: MW12 (34-101) Recitation: TR11 (24-121) or TR12 (24-121) or TR1 (24-121) or TR2 (24-121)
______
Provides an introduction to probability theory and the modeling and analysis of probabilistic systems. Probabilistic models, conditional probability. Discrete and continuous random variables. Expectation and conditional expectation. Limit Theorems. Students taking graduate version complete additional assignments.
P. Jaillet, J. N. Tsitsiklis
No textbook information available

6.431B Introduction to Probability II
(New)
______

Graduate (Fall, Spring); second half of term
(Subject meets with 6.041B)
Prereq: 6.431A
Units: 2-0-4
Begins Oct 24. Lecture: MW12 (34-101) Recitation: TR11 (24-121) or TR12 (24-121) or TR1 (24-121) or TR2 (24-121) +final
______
Further topics in probability. Bayesian estimation and hypothesis testing. Elements of statistical inference. Bernoulli and Poisson processes. Markov chains. Students taking graduate version complete additional assignments.
P. Jaillet, J. N. Tsitsiklis
No textbook information available

6.434[J] Statistics for Engineers and Scientists
______

Graduate (Fall)
(Same subject as 16.391[J])
Prereq: Calculus II (GIR), 18.06, 6.431B, or permission of instructor
Units: 3-0-9
Lecture: MW1-2.30 (8-205)
______
Rigorous introduction to fundamentals of statistics motivated by engineering applications. Topics include exponential families, order statistics, sufficient statistics, estimation theory, hypothesis testing, measures of performance, notions of optimality, analysis of variance (ANOVA), simple linear regression, and selected topics.
M. Win, J. N. Tsitsiklis
No textbook information available

6.436[J] Fundamentals of Probability
______

Graduate (Fall)
(Same subject as 15.085[J])
Prereq: Calculus II (GIR)
Units: 4-0-8
Lecture: MW2.30-4 (E51-345) Recitation: F2 (66-144) +final
______
Introduction to probability theory. Probability spaces and measures. Discrete and continuous random variables. Conditioning and independence. Multivariate normal distribution. Abstract integration, expectation, and related convergence results. Moment generating and characteristic functions. Bernoulli and Poisson process. Finite-state Markov chains. Convergence notions and their relations. Limit theorems. Familiarity with elementary notions in probability and real analysis is desirable.
J. N. Tsitsiklis, D. Gamarnik
Textbooks (Fall 2016)

6.437 Inference and Information
______

Graduate (Spring)
Prereq: 6.008, 6.041B, or 6.436
Units: 4-0-8
______
Introduction to principles of Bayesian and non-Bayesian statistical inference. Hypothesis testing and parameter estimation, sufficient statistics; exponential families. EM agorithm. Log-loss inference criterion, entropy and model capacity. Kullback-Leibler distance and information geometry. Asymptotic analysis and large deviations theory. Model order estimation; nonparametric statistics. Computational issues and approximation techniques; Monte Carlo methods. Selected special topics such as universal prediction and compression.
P. Golland, G. W. Wornell

6.438 Algorithms for Inference
______

Graduate (Fall)
Prereq: 6.008, 6.041B, or 6.436; 18.06
Units: 4-0-8
Lecture: TR9.30-11 (4-370) Recitation: F10 (8-119) or F11 (8-119) +final
______
Introduction to statistical inference with probabilistic graphical models. Directed and undirected graphical models, and factor graphs, over discrete and Gaussian distributions; hidden Markov models, linear dynamical systems. Sum-product and junction tree algorithms; forward-backward algorithm, Kalman filtering and smoothing. Min-sum and Viterbi algorithms. Variational methods, mean-field theory, and loopy belief propagation. Particle methods and filtering. Building graphical models from data, including parameter estimation and structure learning; Baum-Welch and Chow-Liu algorithms. Selected special topics.
P. Golland, G. W. Wornell, D. Shah
No textbook information available

6.440 Essential Coding Theory
______

Not offered academic year 2016-2017Graduate (Spring)
Prereq: 6.006, 6.045
Units: 3-0-9
______
Introduces the theory of error-correcting codes. Focuses on the essential results in the area, taught from first principles. Special focus on results of asymptotic or algorithmic significance. Principal topics include construction and existence results for error-correcting codes; limitations on the combinatorial performance of error-correcting codes; decoding algorithms; and applications to other areas of mathematics and computer science.
Staff

6.441 Information Theory
______

Graduate (Spring)
Prereq: 6.041B
Units: 3-0-9
URL: http://web.mit.edu/6.441/www/
______
Mathematical definitions of information measures, convexity, continuity, and variational properties. Lossless source coding; variable-length and block compression; Slepian-Wolf theorem; ergodic sources and Shannon-McMillan theorem. Hypothesis testing, large deviations and I-projection. Fundamental limits of block coding for noisy channels: capacity, dispersion, finite blocklength bounds. Coding with feedback. Joint source-channel problem. Rate-distortion theory, vector quantizers. Advanced topics include Gelfand-Pinsker problem, multiple access channels, broadcast channels (depending on available time).
M. Medard, Y. Polyanskiy, L. Zheng

6.442 Optical Networks
______

Not offered academic year 2016-2017Graduate (Spring)
Prereq: 6.041B or 6.042
Units: 3-0-9
______
Introduces the fundamental and practical aspects of optical network technology, architecture, design and analysis tools and techniques. The treatment of optical networks are from the architecture and system design points of view. Optical hardware technologies are introduced and characterized as fundamental network building blocks on which optical transmission systems and network architectures are based. Beyond the Physical Layer, the higher network layers (Media Access Control, Network and Transport Layers) are treated together as integral parts of network design. Performance metrics, analysis and optimization techniques are developed to help guide the creation of high performance complex optical networks.
V. W. S. Chan

6.443[J] Quantum Information Science
______

Graduate (Spring)
(Same subject as 8.371[J], 18.436[J])
Prereq: 18.435
Units: 3-0-9
______
Examines quantum computation and quantum information. Topics include quantum circuits, the quantum Fourier transform and search algorithms, the quantum operations formalism, quantum error correction, Calderbank-Shor-Steane and stabilizer codes, fault tolerant quantum computation, quantum data compression, quantum entanglement, capacity of quantum channels, and quantum cryptography and the proof of its security. Prior knowledge of quantum mechanics required.
I. Chuang

6.450 Principles of Digital Communication
______

Graduate (Fall)
Prereq: 6.011
Units: 3-0-9
Lecture: MW9.30-11 (36-155) +final
______
Communication sources and channels; data compression; entropy and the AEP; Lempel-Ziv universal coding; scalar and vector quantization; L2 waveforms; signal space and its representation by sampling and other expansions; aliasing; the Nyquist criterion; PAM and QAM modulation; Gaussian noise and random processes; detection and optimal receivers; fading channels and wireless communication; introduction to communication system design.
M. Medard, L. Zheng
Textbooks (Fall 2016)

6.452 Principles of Wireless Communication
______

Not offered academic year 2016-2017Graduate (Fall)
Prereq: 6.450
Units: 3-0-9
Subject Cancelled Subject Cancelled
______
Introduction to design, analysis, and fundamental limits of wireless transmission systems. Wireless channel and system models; fading and diversity; resource management and power control; multiple-antenna and MIMO systems; space-time codes and decoding algorithms; multiple-access techniques and multiuser detection; broadcast codes and precoding; cellular and ad-hoc network topologies; OFDM and ultrawideband systems; architectural issues.
G. W. Wornell, L. Zheng

6.453 Quantum Optical Communication
______

Graduate (Fall)
Prereq: 6.011, 18.06
Units: 3-0-9
Lecture: TR1-2.30 (8-205)
______
Quantum optics: Dirac notation quantum mechanics; harmonic oscillator quantization; number states, coherent states, and squeezed states; radiation field quantization and quantum field propagation; P-representation and classical fields. Linear loss and linear amplification: commutator preservation and the Uncertainty Principle; beam splitters; phase-insensitive and phase-sensitive amplifiers. Quantum photodetection: direct detection, heterodyne detection, and homodyne detection. Second-order nonlinear optics: phasematched interactions; optical parametric amplifiers; generation of squeezed states, photon-twin beams, non-classical fourth-order interference, and polarization entanglement. Quantum systems theory: optimum binary detection; quantum precision measurements; quantum cryptography; and quantum teleportation.
J. H. Shapiro
No required or recommended textbooks

6.454 Graduate Seminar in Area I
______

Not offered academic year 2016-2017Graduate (Fall) Can be repeated for credit
Prereq: Permission of instructor
Units: 2-0-4
URL: http://web.mit.edu/6.454/www/
______
Student-run advanced graduate seminar with focus on topics in communications, control, signal processing, optimization. Participants give presentations outside of their own research to expose colleagues to topics not covered in the usual curriculum. Recent topics have included compressed sensing, MDL principle, communication complexity, linear programming decoding, biology in EECS, distributed hypothesis testing, algorithms for random satisfaction problems, and cryptogaphy. Open to advanced students from all areas of EECS. Limited to 12.
L. Zheng, D. Shah

6.456 Array Processing
______

Not offered academic year 2016-2017Graduate (Fall)
Prereq: 6.341; 2.687, or 6.011 and 18.06
Units: 3-2-7
Subject Cancelled Subject Cancelled
______
Adaptive and non-adaptive processing of signals received at arrays of sensors. Deterministic beamforming, space-time random processes, optimal and adaptive algorithms, and the sensitivity of algorithm performance to modeling errors and limited data. Methods of improving the robustness of algorithms to modeling errors and limited data are derived. Advanced topics include an introduction to matched field processing and physics-based methods of estimating signal statistics. Homework exercises providing the opportunity to implement and analyze the performance of algorithms in processing data supplied during the course.
Staff

Bioelectrical Engineering

6.503 Foundations of Algorithms and Computational Techniques in Systems Biology
______

Not offered academic year 2016-2017Undergrad (Spring)
(Subject meets with 6.581[J], 20.482[J])
Prereq: 6.021, 6.034, 6.046, 6.336, 18.417, or permission of instructor
Units: 3-0-9
______
Illustrates computational approaches to solving problems in systems biology. Uses a series of case studies to demonstrate how an effective match between the statement of a biological problem and the selection of an appropriate algorithm or computational technique can lead to fundamental advances. Covers several discrete and numerical algorithms used in simulation, feature extraction, and optimization for molecular, network, and systems models in biology. Students taking graduate version complete additional assignments.
B. Tidor, J. K. White

6.521[J] Cellular Neurophysiology
______

Graduate (Fall)
(Same subject as 2.794[J], 20.470[J], HST.541[J])
(Subject meets with 2.791[J], 6.021[J], 20.370[J])
Prereq: Physics II (GIR); 18.03; 2.005, 6.002, 6.003, 6.071, 10.301, 20.110, or permission of instructor
Units: 5-2-5
Lecture: MWF10 (32-144) Lab: TBA Recitation: T12 (34-303) or T4 (34-302) +final
______
Meets with undergraduate subject 6.021J. Requires the completion of more advanced home problems and/or an additional project.
J. Han, T. Heldt
Textbooks (Fall 2016)

6.522[J] Quantitative Physiology: Organ Transport Systems
______

Graduate (Spring)
(Same subject as 2.796[J])
(Subject meets with 2.792[J], 6.022[J], HST.542[J])
Prereq: 2.006 or 6.013; 6.021
Units: 4-2-6
______
Application of the principles of energy and mass flow to major human organ systems. Mechanisms of regulation and homeostasis. Anatomical, physiological and pathophysiological features of the cardiovascular, respiratory and renal systems. Systems, features and devices that are most illuminated by the methods of physical sciences. Laboratory work includes some animal studies. Students taking graduate version complete additional assignments.
Application of the principles of energy and mass flow to major human organ systems. Mechanisms of regulation and homeostasis. Anatomical, physiological and pathophysiological features of the cardiovascular, respiratory and renal systems. Systems, features and devices that are most illuminated by the methods of physical sciences. Laboratory work includes some animal studies. Students taking graduate version complete additional assignments.
T. Heldt, R. G. Mark, C. M. Stultz

6.524[J] Molecular, Cellular, and Tissue Biomechanics
______

Graduate (Fall)
(Same subject as 2.798[J], 3.971[J], 10.537[J], 20.410[J])
Prereq: Biology (GIR); 2.002, 2.006, 6.013, 10.301, or 10.302
Units: 3-0-9
Lecture: TR10.30-12 (2-143)
______
Develops and applies scaling laws and the methods of continuum mechanics to biomechanical phenomena over a range of length scales. Topics include structure of tissues and the molecular basis for macroscopic properties; chemical and electrical effects on mechanical behavior; cell mechanics, motility and adhesion; biomembranes; biomolecular mechanics and molecular motors. Experimental methods for probing structures at the tissue, cellular, and molecular levels.
R. D. Kamm, K. J. Van Vliet
No textbook information available

6.525[J] Medical Device Design
______

Graduate (Fall)
(Same subject as 2.75[J], HST.552[J])
(Subject meets with 2.750[J], 6.025[J])
Prereq: 2.72, 6.101, 6.111, 6.115, 22.071, or permission of instructor
Units: 3-0-9
Lecture: MW1-2.30 (3-270)
______
Application of mechanical and electrical engineering fundamentals to the design of medical devices that address clinical needs. Students work in small teams on a major project to translate a clinical challenge into a proof-of-concept prototype device. Students conduct user analysis, develop design specifications, and follow a structured process to cultivate creative designs and apply analytical techniques to optimize them. They deepen their understanding of art and intellectual property by researching prior representations. Develops practical skills in prototyping and testing as well as project management. Includes lectures, problem sets and exams that focus on design fundamentals. Instruction and practice in written and oral communication provided. Students taking graduate version complete additional assignments. Enrollment limited.
A. H. Slocum, G. Hom
No required or recommended textbooks

6.542[J] Laboratory on the Physiology, Acoustics, and Perception of Speech
______

Not offered academic year 2016-2017Graduate (Fall)
(Same subject as 24.966[J], HST.712[J])
Prereq: Permission of instructor
Units: 2-2-8
______
Experimental investigations of speech processes. Topics: measurement of articulatory movements; measurements of pressures and airflows in speech production; computer-aided waveform analysis and spectral analysis of speech; synthesis of speech; perception and discrimination of speechlike sounds; speech prosody; models for speech recognition; speech development; and other topics. Recommended prerequisites: 6.002 or 18.03.
L. D. Braida, S. Shattuck-Hufnagel

6.544, 6.545 Advanced Topics in BioEECS
______

Graduate (Fall, Spring) Can be repeated for credit
Not offered regularly; consult department
Prereq: Permission of instructor
Units: 3-0-9
______
Advanced study of topics in BioEECS. Specific focus varies from year to year. Consult department for details.
Consult Department

6.552[J] Signal Processing by the Auditory System: Perception
______

Not offered academic year 2016-2017Graduate (Fall)
(Same subject as HST.716[J])
Prereq: 6.003; 6.041B or 6.431B; or permission of instructor
Units: 3-0-9
Subject Cancelled Subject Cancelled
______
Studies information processing performance of the human auditory system in relation to current physiological knowledge. Examines mathematical models for the quantification of auditory-based behavior and the relation between behavior and peripheral physiology, reflecting the tono-topic organization and stochastic responses of the auditory system. Mathematical models of psychophysical relations, incorporating quantitative knowledge of physiological transformations by the peripheral auditory system.
L. D. Braida

6.555[J] Biomedical Signal and Image Processing
______

Graduate (Spring)
(Same subject as 16.456[J], HST.582[J])
Prereq: 6.003, 2.004, 16.004, or 18.085
Units: 3-4-5
URL: http://web.mit.edu/6.555/www/
______
Fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. Basic principles and algorithms for data acquisition, imaging, filtering, and feature extraction. Laboratory projects provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging.
J. Greenberg, E. Adalsteinsson, W. Wells

6.556[J] Data Acquisition and Image Reconstruction in MRI
______

Graduate (Fall)
(Same subject as HST.580[J])
Prereq: 6.011
Units: 3-0-9
Lecture: TR11-12.30 (1-150)
______
Applies analysis of signals and noise in linear systems, sampling, and Fourier properties to magnetic resonance (MR) imaging acquisition and reconstruction. Provides adequate foundation for MR physics to enable study of RF excitation design, efficient Fourier sampling, parallel encoding, reconstruction of non-uniformly sampled data, and the impact of hardware imperfections on reconstruction performance. Surveys active areas of MR research. Assignments include Matlab-based work with real data. Includes visit to a scan site for human MR studies.
E. Adalsteinsson
No textbook information available

6.557[J] Biomolecular Feedback Systems
______

Graduate (Spring)
(Same subject as 2.18[J])
(Subject meets with 2.180[J], 6.027[J])
Prereq: 18.03, Biology (GIR), or permission of instructor
Units: 3-0-9
______
Comprehensive introduction to dynamics and control of biomolecular systems with emphasis on design/analysis techniques from control theory. Provides a review of biology concepts, regulation mechanisms, and models. Covers basic enabling technologies, engineering principles for designing biological functions, modular design techniques, and design limitations. Students taking graduate version complete additional assignments.
D. Del Vecchio, R. Weiss

6.561[J] Fields, Forces, and Flows in Biological Systems
______

Graduate (Fall)
(Same subject as 2.795[J], 10.539[J], 20.430[J])
Prereq: 6.013, 2.005, 10.302, or permission of instructor
Units: 3-0-9
Lecture: MW1-2.30 (32-124)
______
Molecular diffusion, diffusion-reaction, conduction, convection in biological systems; fields in heterogeneous media; electrical double layers; Maxwell stress tensor, electrical forces in physiological systems. Fluid and solid continua: equations of motion useful for porous, hydrated biological tissues. Case studies of membrane transport, electrode interfaces, electrical, mechanical, and chemical transduction in tissues, convective-diffusion/reaction, electrophoretic, electroosmotic flows in tissues/MEMs, and ECG. Electromechanical and physicochemical interactions in cells and biomaterials; musculoskeletal, cardiovascular, and other biological and clinical examples.
M. Bathe, A. J. Grodzinsky
Textbooks (Fall 2016)

6.580[J] Principles of Synthetic Biology
______

Undergrad (Fall)
(Same subject as 20.305[J])
(Subject meets with 6.589[J], 20.405[J])
Prereq: None
Units: 3-0-9
Lecture: TR11-12.30 (9-057) +final
______
Introduces the basics of synthetic biology, including quantitative cellular network characterization and modeling. Considers the discovery and genetic factoring of useful cellular activities into reusable functions for design. Emphasizes the principles of biomolecular system design and diagnosis of designed systems. Illustrates cutting-edge applications in synthetic biology and enhances skills in analysis and design of synthetic biological applications. Students taking graduate version complete additional assignments.
R. Weiss
No textbook information available

6.581[J] Foundations of Algorithms and Computational Techniques in Systems Biology
______

Not offered academic year 2016-2017Graduate (Spring)
(Same subject as 20.482[J])
(Subject meets with 6.503)
Prereq: 6.021, 6.034, 6.046, 6.336, 18.417, or permission of instructor
Units: 3-0-9
______
Illustrates computational approaches to solving problems in systems biology. Uses a series of case studies to demonstrate how an effective match between the statement of a biological problem and the selection of an appropriate algorithm or computational technique can lead to fundamental advances. Covers several discrete and numerical algorithms used in simulation, feature extraction, and optimization for molecular, network, and systems models in biology. Students taking graduate version complete additional assignments.
B. Tidor, J. K. White

6.589[J] Principles of Synthetic Biology
______

Graduate (Fall)
(Same subject as 20.405[J])
(Subject meets with 6.580[J], 20.305[J])
Prereq: None
Units: 3-0-9
Lecture: TR11-12.30 (9-057) +final
______
Introduces the basics of synthetic biology, including quantitative cellular network characterization and modeling. Considers the discovery and genetic factoring of useful cellular activities into reusable functions for design. Emphasizes the principles of biomolecular system design and diagnosis of designed systems. Illustrates cutting-edge applications in synthetic biology and enhances skills in analysis and design of synthetic biological applications. Students taking graduate version complete additional assignments.
R. Weiss
No textbook information available

Electrodynamics

6.602 Fundamentals of Photonics
______

Not offered academic year 2016-2017Undergrad (Fall)
(Subject meets with 6.621)
Prereq: 2.71, 6.013, or 8.07
Units: 3-0-9
Subject Cancelled Subject Cancelled
______
Covers the fundamentals of optics and the interaction of light and matter, leading to devices such as light emitting diodes, optical amplifiers, and lasers. Topics include classical ray, wave, beam, and Fourier optics; Maxwell's electromagnetic waves; resonators; quantum theory of photons; light-matter interaction; laser amplification; lasers; and semiconductors optoelectronics. Students taking graduate version complete additional assignments.
D. R. Englund

6.621 Fundamentals of Photonics
______

Not offered academic year 2016-2017Graduate (Fall)
(Subject meets with 6.602)
Prereq: 2.71, 6.013, or 8.07
Units: 3-0-9
Subject Cancelled Subject Cancelled
______
Covers the fundamentals of optics and the interaction of light and matter, leading to devices such as light emitting diodes, optical amplifiers, and lasers. Topics include classical ray, wave, beam, and Fourier optics; Maxwell's electromagnetic waves; resonators; quantum theory of photons; light-matter interaction; laser amplification; lasers; and semiconductors optoelectronics. Students taking graduate version complete additional assignments.
D. R. Englund

6.630 Electromagnetics
______

Graduate (Fall)
Prereq: 6.003 or 6.007
Units: 4-0-8
URL: http://cetaweb.mit.edu/6.630/
Lecture: WF2.30-4 (32-144)
______
Explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided and unguided waves; modal expansions; resonance; acoustic analogs; and forces, power, and energy.
L. Daniel, M. R. Watts
Textbooks (Fall 2016)

6.631 Optics and Photonics
______

Graduate (Fall)
Prereq: 6.013 or 8.07
Units: 3-0-9
Lecture: MW3-4.30 (36-372) +final
______
Introduction to fundamental concepts and techniques of optics, photonics, and fiber optics. Review of Maxwell's equations, light propagation, and reflection from dielectrics mirrors and filters. Interferometers, filters, and optical imaging systems. Fresnel and Fraunhoffer diffraction theory. Propagation of Gaussian beams and laser resonator design. Optical waveguides and optical fibers. Optical waveguide and photonic devices.
J. G. Fujimoto
Textbooks (Fall 2016)

6.632 Electromagnetic Wave Theory
______

Not offered academic year 2016-2017Graduate (Spring)
Prereq: 6.013, 6.630, or 8.07
Units: 3-0-9
______
Solutions to Maxwell equations and physical interpretation. Topics include waves in media, equivalence principle, duality and complementarity, Huygens' principle, Fresnel and Fraunhofer diffraction, radiation and dyadic Green's functions, scattering, metamaterials, and plasmonics, mode theory, dielectric waveguides, and resonators. Examples deal with limiting cases of electromagnetic theory, multi-port elements, filters and antennas. Discusses current topics in microwave and photonic devices.
M. R. Watts

6.634[J] Nonlinear Optics
______

Graduate (Spring)
(Same subject as 8.431[J])
Prereq: 6.013 or 8.07
Units: 3-0-9
______
Techniques of nonlinear optics with emphasis on fundamentals for research and engineering in optics, photonics, and spectroscopy. Electro optic modulators, harmonic generation, and frequency conversion devices. Nonlinear effects in optical fibers including self-phase modulation, nonlinear wave propagation, and solitons. Interaction of light with matter, laser operation, density matrix techniques, nonlinear spectroscopies, and femtosecond optics.
J. G. Fujimoto

6.637 Optical Signals, Devices, and Systems
______

Graduate (Fall)
(Subject meets with 6.161)
Prereq: 6.003
Units: 3-0-9
Lecture: TR2.30-4 (34-304) Lab: TBA
______
Principles of operation and applications of devices and systems for optical signal generation, transmission, detection, storage, processing and display. Topics include review of the basic properties of electromagnetic waves; coherence and interference; diffraction and holography; Fourier optics; coherent and incoherent imaging and signal processing systems; optical properties of materials; lasers and LEDs; electro-optic and acousto-optic light modulators; photorefractive and liquid-crystal light modulation; spatial light modulators and displays; optical waveguides and fiber-optic communication systems; photodetectors; 2-D and 3-D optical storage technologies; adaptive optical systems; role of optics in next-generation computers. Student research paper on a specific contemporary topic required. Recommended prerequisites: 6.007 or 8.03.
C. Warde
No textbook information available

6.641 Electromagnetic Fields, Forces, and Motion
______

Not offered academic year 2016-2017Graduate (Fall)
Prereq: 6.013
Units: 4-0-8
______
Electric and magnetic quasistatic forms of Maxwell's equations applied to dielectric, conduction, and magnetization boundary value problems. 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.
J. H. Lang

6.642 Continuum Electromechanics
______

Not offered academic year 2016-2017Graduate (Spring)
Prereq: 6.641 or permission of instructor
Units: 4-0-8
______
Laws, approximations, and relations of continuum mechanics. Mechanical and electromechanical transfer relations. Statics and dynamics of electromechanical systems having a static equilibrium. Electromechanical flows. Field coupling with thermal and molecular diffusion. Electrokinetics. Streaming interactions. Application to materials processing, magnetohydrodynamic and electrohydrodynamic pumps and generators, ferrohydrodynamics, physiochemical systems, heat transfer, continuum feedback control, electron beam devices, and plasma dynamics.
Staff

6.644, 6.645 Advanced Topics in Applied Physics
______

Not offered academic year 2016-2017Graduate (Fall) Can be repeated for credit
Prereq: Permission of instructor
Units: 3-0-9
Subject Cancelled 6.645 Cancelled
______
Advanced study of topics in applied physics. Specific focus varies from year to year. Consult department for details.
Consult Department

6.685 Electric Machines
______

Not offered academic year 2016-2017Graduate (Fall)
Prereq: 6.061 or 6.690; or permission of instructor
Units: 3-0-9
______
Treatment of electromechanical transducers, rotating and linear electric machines. Lumped-parameter electromechanics. Power flow using Poynting's theorem, force estimation using the Maxwell stress tensor and Principle of virtual work. Development of analytical techniques for predicting device characteristics: energy conversion density, efficiency; and of system interaction characteristics: regulation, stability, controllability, and response. Use of electric machines in drive systems. Problems taken from current research.
J. L. Kirtley, Jr.

6.690 Introduction to Electric Power Systems
______

Not offered academic year 2017-2018Graduate (Spring)
(Subject meets with 6.061)
Prereq: 6.002, 6.013
Units: 3-0-9
______
Electric circuit theory with application to power handling electric circuits. Modeling and behavior of electromechanical devices, including magnetic circuits, motors, and generators. Operational fundamentals of synchronous, induction and DC machinery. Interconnection of generators and motors with electric power transmission and distribution circuits. Power generation, including alternative and sustainable sources. Students taking graduate version complete additional assignments.
J. L. Kirtley, Jr.

6.695[J] Engineering, Economics and Regulation of the Electric Power Sector
______

Graduate (Spring)
(Same subject as 15.032[J], IDS.505[J])
Prereq: Permission of instructor
Units: 3-0-9
______
Provides an in-depth and interdisciplinary look at electric power systems, focusing on regulation as the link among engineering, economic, legal, and environmental viewpoints. Topics include electricity markets, incentive regulation of network utilities, retail competition, tariff design, distributed generation, rural electrification, multinational electricity markets, environmental impacts, future of utilities and strategic sustainability issues under both traditional and competitive regulatory frameworks. Background in policy, microeconomics, or engineering desirable.
C. Vergara

Solid-State Materials and Devices

6.701 Introduction to Nanoelectronics
______

Not offered academic year 2016-2017Undergrad (Fall)
(Subject meets with 6.719)
Prereq: 6.003
Units: 4-0-8
Subject Cancelled Subject Cancelled
______
Transistors at the nanoscale. Quantization, wavefunctions, and Schrodinger's equation. Introduction to electronic properties of molecules, carbon nanotubes, and crystals. Energy band formation and the origin of metals, insulators and semiconductors. Ballistic transport, Ohm's law, ballistic versus traditional MOSFETs, fundamental limits to computation.
M. A. Baldo

6.717[J] Design and Fabrication of Microelectromechanical Systems
______

Not offered academic year 2016-2017Undergrad (Spring)
(Same subject as 2.374[J])
(Subject meets with 2.372[J], 6.777[J])
Prereq: 6.003 or 2.003, Physics II (GIR); or permission of instructor
Units: 3-0-9
______
Provides an introduction to microsystem design. Covers material properties, microfabrication technologies, structural behavior, sensing methods, electromechanical actuation, thermal actuation and control, multi-domain modeling, noise, and microsystem packaging. Applies microsystem modeling, and manufacturing principles to the design and analysis a variety of microscale sensors and actuators (e.g., optical MEMS, bioMEMS, and inertial sensors). Emphasizes modeling and simulation in the design process. Students taking the graduate version complete additional assignments.
Staff

6.719 Nanoelectronics
______

Not offered academic year 2016-2017Graduate (Fall)
(Subject meets with 6.701)
Prereq: 6.003
Units: 4-0-8
Subject Cancelled Subject Cancelled
______
Meets with undergraduate subject 6.701, but requires the completion of additional/different homework assignments and or projects. See subject description under 6.701.
M. A. Baldo

6.720[J] Integrated Microelectronic Devices
______

Graduate (Fall)
(Same subject as 3.43[J])
Prereq: 6.012 or 3.42
Units: 4-0-8
Lecture: MWRF10 (66-144) +final
______
Covers physics of microelectronic semiconductor devices for integrated circuit applications. Topics include semiconductor fundamentals, p-n junction, metal-oxide semiconductor structure, metal-semiconductor junction, MOS field-effect transistor, and bipolar junction transistor. Studies modern nanoscale devices, including electrostatic scaling, materials beyond Si, carrier transport from the diffusive to the ballistic regime. Emphasizes physical understanding of device operation through energy band diagrams and short-channel MOSFET device design. Includes device modeling exercises. Familiarity with MATLAB required. 2 Engineering Design Points.
D. A. Antoniadis, J. A. del Alamo, H. L. Tuller
No textbook information available

6.728 Applied Quantum and Statistical Physics
______

Graduate (Fall)
Prereq: 6.003, 18.06
Units: 4-0-8
Lecture: WF11-12.30 (26-328) Recitation: M11 (26-328) +final
______
Elementary quantum mechanics and statistical physics. Introduces applied quantum physics. Emphasizes experimental basis for quantum mechanics. Applies Schrodinger's equation to the free particle, tunneling, the harmonic oscillator, and hydrogen atom. Variational methods. Elementary statistical physics; Fermi-Dirac, Bose-Einstein, and Boltzmann distribution functions. Simple models for metals, semiconductors, and devices such as electron microscopes, scanning tunneling microscope, thermonic emitters, atomic force microscope, and more.
P. L. Hagelstein
Textbooks (Fall 2016)

6.730 Physics for Solid-State Applications
______

Graduate (Spring)
Prereq: 6.013, 6.728
Units: 5-0-7
______
Classical and quantum models of electrons and lattice vibrations in solids, emphasizing physical models for elastic properties, electronic transport, and heat capacity. Crystal lattices, electronic energy band structures, phonon dispersion relations, effective mass theorem, semiclassical equations of motion, electron scattering and semiconductor optical properties. Band structure and transport properties of selected semiconductors. Connection of quantum theory of solids with quasi-Fermi levels and Boltzmann transport used in device modeling.
Q. Hu, R. Ram

6.731 Semiconductor Optoelectronics: Theory and Design
______

Not offered academic year 2016-2017Graduate (Spring)
Prereq: 6.728, 6.012
Units: 3-0-9
______
Focuses on the physics of the interaction of photons with semiconductor materials. Uses the band theory of solids to calculate the absorption and gain of semiconductor media; and uses rate equation formalism to develop the concepts of laser threshold, population inversion, and modulation response. Presents theory and design for photodetectors, solar cells, modulators, amplifiers, and lasers. Introduces noise models for semiconductor devices, and applications of optoelectronic devices to fiber optic communications.
R. J. Ram

6.732 Physics of Solids
______

Graduate (Fall)
Prereq: 6.730 or 8.231
Units: 4-0-8
Lecture: MWF11 (34-303) Recitation: F10 (34-303)
______
Continuation of 6.730 emphasizing applications-related physical issues in solids. Topics include: electronic structure and energy band diagrams of semiconductors, metals, and insulators; Fermi surfaces; dynamics of electrons under electric and magnetic fields; classical diffusive transport phenomena such as electrical and thermal conduction and thermoelectric phenomena; quantum transport in tunneling and ballistic devices; optical properties of metals, semiconductors, and insulators; impurities and excitons; photon-lattice interactions; Kramers-Kronig relations; optoelectronic devices based on interband and intersubband transitions; magnetic properties of solids; exchange energy and magnetic ordering; magneto-oscillatory phenomena; quantum Hall effect; superconducting phenomena and simple models.
Q. Hu
No textbook information available

6.735, 6.736 Advanced Topics in Materials, Devices, and Nanotechnology
______

Graduate (Fall, Spring) Can be repeated for credit
Not offered regularly; consult department
Prereq: Permission of instructor
Units: 3-0-9
______
Advanced study of topics in materials, devices, and nanotechnology. Specific focus varies from year to year.
Consult Department

6.774 Physics of Microfabrication: Front End Processing
______

Graduate (Fall)
Not offered regularly; consult department
Prereq: 6.152
Units: 3-0-9
______
Presents advanced physical models and practical aspects of front-end microfabrication processes, such as oxidation, diffusion, ion implantation, chemical vapor deposition, atomic layer deposition, etching, and epitaxy. Covers topics relevant to CMOS, bipolar, and optoelectronic device fabrication, including high k gate dielectrics, gate etching, implant-damage enhanced diffusion, advanced metrology, stress effects on oxidation, non-planar and nanowire device fabrication, SiGe and fabrication of process-induced strained Si. Exposure to CMOS process integration concepts, and impacts of processing on device characteristics. Students use modern process simulation tools.
J. L. Hoyt, L. R. Reif

6.775 CMOS Analog and Mixed-Signal Circuit Design
______

Graduate (Spring)
Prereq: 6.301
Units: 3-0-9
______
A detailed exposition of the principles involved in designing and optimizing analog and mixed-signal circuits in CMOS technologies. Small-signal and large-signal models. Systemic methodology for device sizing and biasing. Basic circuit building blocks. Operational amplifier design. Large signal considerations. Principles of switched capacitor networks including switched-capacitor and continuous-time integrated filters. Basic and advanced A/D and D/A converters, delta-sigma modulators, RF and other signal processing circuits. Design projects on op amps and subsystems are a required part of the subject. 4 Engineering Design Points.
H. S. Lee

6.776 High Speed Communication Circuits
______

Not offered academic year 2016-2017Graduate (Spring)
Prereq: 6.301
Units: 3-3-6
______
Principles and techniques of high-speed integrated circuits used in wireless/wireline data links and remote sensing. On-chip passive component design of inductors, capacitors, and antennas. Analysis of distributed effects, such as transmission line modeling, S-parameters, and Smith chart. Transceiver architectures and circuit blocks, which include low-noise amplifiers, mixers, voltage-controlled oscillators, power amplifiers, and frequency dividers. Involves IC/EM simulation and laboratory projects.
R. Han

6.777[J] Design and Fabrication of Microelectromechanical Systems
______

Not offered academic year 2016-2017Graduate (Spring)
(Same subject as 2.372[J])
(Subject meets with 2.374[J], 6.717[J])
Prereq: 6.003 or 2.003, Physics II (GIR); or permission of instructor
Units: 3-0-9
______
Provides an introduction to microsystem design. Covers material properties, microfabrication technologies, structural behavior, sensing methods, electromechanical actuation, thermal actuation and control, multi-domain modeling, noise, and microsystem packaging. Applies microsystem modeling, and manufacturing principles to the design and analysis a variety of microscale sensors and actuators (e.g., optical MEMS, bioMEMS, and inertial sensors). Emphasizes modeling and simulation in the design process. Students taking the graduate version complete additional assignments. 4 Engineering Design Points.
Staff

6.780[J] Control of Manufacturing Processes
______

Graduate (Spring)
(Same subject as 2.830[J])
Prereq: 2.008, 6.041B, 6.152, or 15.064
Units: 3-0-9
______
Statistical modeling and control in manufacturing processes. Use of experimental design and response surface modeling to understand manufacturing process physics. Defect and parametric yield modeling and optimization. Forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.
D. E. Hardt, D. S. Boning

6.781[J] Nanostructure Fabrication
______

Graduate (Spring)
(Same subject as 2.391[J])
Prereq: 6.152, 6.161, or 2.710; or permission of instructor
Units: 4-0-8
______
Describes current techniques used to analyze and fabricate nanometer-length-scale structures and devices. Emphasizes imaging and patterning of nanostructures, including fundamentals of optical, electron (scanning, transmission, and tunneling), and atomic-force microscopy; optical, electron, ion, and nanoimprint lithography, templated self-assembly, and resist technology. Surveys substrate characterization and preparation, facilities, and metrology requirements for nanolithography. Addresses nanodevice processing methods, such as liquid and plasma etching, lift-off, electroplating, and ion-implant. Discusses applications in nanoelectronics, nanomaterials, and nanophotonics.
K. K. Berggren


left arrow | 6.00-6.299 | 6.30-6.799 | 6.80-6.ZZZ | right arrow



Produced: 14-OCT-2016 05:10 PM