(Spring 2008), Electromagnetic Energy: From Motors to Lasers S. Goldwasser, S. Micali, V. Vaikuntanathan. Students engage in extensive written communication exercises. Reviews visionary ideas of Turing, Minsky, and other influential thinkers. Applications drawn from social, economic, natural, and infrastructure networks, as well as networked decision systems such as sensor networks. Same subject as 15.085[J]Prereq: Calculus II (GIR) G (Fall)4-0-8 units. Transceiver architectures and circuit blocks, which include low-noise amplifiers, mixers, voltage-controlled oscillators, power amplifiers, and frequency dividers. Subject meets with 6.061Prereq: 6.002 and 6.013 Acad Year 2020-2021: G (Spring) (Spring 2003), Quantum Complexity Theory Draws upon concepts from stochastic processes, queuing theory, and optimization. Directed and undirected graphical models, and factor graphs, over discrete and Gaussian distributions; hidden Markov models, linear dynamical systems. Students taking graduate version complete additional assignments. More than 30 percent of MIT's undergraduates are enrolled in the Department of Electrical Engineering and Computer Science, and our graduate programs are world-renowned. Semester-long project and paper.

Engineering School-Wide Elective Subject. Offered under: 6.912, 16.651Prereq: None. Provides instruction in programming, game theory, probability and statistics and machine learning. Classical and quantum models of electrons and lattice vibrations in solids, emphasizing physical models for elastic properties, electronic transport, and heat capacity. Acad Year 2021-2022: U (Fall)2-4-6 units. (January IAP 2008), Multicore Programming Primer Projects involve design, implementation, and presentation in an environment similar to that of industry engineering design teams. Application of electronic flash sources to measurement and photography. In July, President Nixon announced his plan to establish the United States Environmental Protection Agency by the […], Lillian ‘Lilly’ Papalia, a rising junior in mechanical engineering, is enrolled in the New Engineering Education Transformation (NEET)’s Autonomous Machines thread. Content is frequently student-led. Algorithms: convex hulls, polygon triangulation, Delaunay triangulation, motion planning, pattern matching. Admittance may be controlled by lottery.

6-PA students do their Master of Engineering thesis at their participating company's facilities. Descriptions of many of these laboratories may be found under the section on Research and Study. Preference to first-year students in the Gordon Engineering Leadership Program. (January IAP 2013), Robocraft Programming Competition Limited to 18 per section. Advanced topics include Gelfand-Pinsker problem, multiple access channels, broadcast channels (depending on available time). The subjects are wholly elective and are not restricted to those given by the department.

Subject meets with 2.791[J], 6.021[J], 9.21[J], 20.370[J]Prereq: (Physics II (GIR), 18.03, and (2.005, 6.002, 6.003, 10.301, or 20.110[J])) or permission of instructor G (Fall)5-2-5 units. Introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction; formulation of learning problems; representation, over-fitting, generalization; classification, regression, reinforcement learning; and methods such as linear classifiers, feed-forward, convolutional, and recurrent networks. (Fall 2011), Knowledge-Based Applications Systems Students develop their own models and simulators for self-proposed applications, with an emphasis on creativity, teamwork, and communication. Prereq: 6.875[J] G (Spring)3-0-9 unitsCan be repeated for credit. (Fall 2005), Compound Semiconductor Devices

Students must provide their own laptop and software. Same subject as 16.37[J]Prereq: 6.041 or 18.204 G (Fall)3-0-9 units.

Designed to develop skills in applying basic methods from programming languages to abstract problems. Focuses on developing working software that solves real problems. (Fall 2002), Network and Computer Security Prereq: 6.002 U (Spring)2-9-1 units. Temporal data structures; persistence; retroactivity. (Spring 2005), Fundamentals of Probability

Required for Course 6 students in the MEng program to gain professional perspective in research experiences or internships in electrical engineering or computer science. E. Boyden, M. Jonas, S. F. Nagle, P. So, S. Wasserman, M. F. Yanik, Same subject as 20.129[J]Prereq: Biology (GIR) and Calculus II (GIR) U (Spring)2-8-2 units.
Includes problem sets, laboratory exercises, and opened-ended term project. Second third focuses on electrical properties of cells: ion transport to action potential generation and propagation in electrically excitable cells. Provides an introduction to data networks with an analytic perspective, using wireless networks, satellite networks, optical networks, the internet and data centers as primary applications. Homework uses process simulation tools to build intuition about higher order effects. See description under subject HST.582[J]. (Spring 2005), Computer Language Engineering Numerous seminars meet every week. Limit theorems. Such structures are crucial in particular for designing efficient algorithms. Subject meets with 2.18[J], 6.557[J]Prereq: Biology (GIR), 18.03, or permission of instructor U (Spring)3-0-9 units, Prereq: Calculus II (GIR) and Physics II (GIR) U (Spring)4-4-4 units. Ballistic transport, Ohm's law, ballistic versus traditional MOSFETs, fundamental limits to computation. (Spring 2005), Continuum Electromechanics Subject to departmental approval. Introduction to computer science and programming for students with little or no programming experience. Prior basic linear algebra and programming (e.g., MATLAB or Python) helpful. Lillian ‘Lilly’ Papalia, a rising junior in mechanical engineering, is enrolled in the New Engineering Education Transformation (NEET)’s Autonomous Machines thread. Introduces analysis and design of embedded systems. Prereq: None U (IAP)2-2-2 unitsCan be repeated for credit. Acad Year 2021-2022: Not offered3-0-9 units. Not offered regularly; consult department3-0-9 units, Same subject as 2.75[J], HST.552[J] Same subject as 15.093[J], IDS.200[J]

Enrollment restricted to first-year graduate students in Electrical Engineering and Computer Science who are doing introductory research leading to an SM, EE, ECS, PhD, or ScD thesis. Mathematical definitions of information measures, convexity, continuity, and variational properties. Exposes students to the models and methods of engineering leadership within the contexts of conceiving, designing, implementing and operating products, processes and systems. Consult department for details.

Enrollment limited. Substantial programming experience required.

(Spring 2016), Algorithms for Computer Animation Teamwork skills include how to convene, launch, and develop various types of teams, including project teams. (Spring 2003), Advanced Electromagnetism Emphasis on the foundations of the theory, mathematical tools, as well as modeling and the equilibrium notion in different environments. Some familiarity with continuous time Fourier transforms recommended. Project topics: absolute and differential auditory sensitivity, operating characteristics of human observers, span of auditory judgment, adaptive measurement procedures, and scaling sensory magnitudes. Elementary statistical physics; Fermi-Dirac, Bose-Einstein, and Boltzmann distribution functions. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum. Approximate counting; parallel algorithms; online algorithms; derandomization techniques; and tools for probabilistic analysis of algorithms. Lossless source coding; variable-length and block compression; Slepian-Wolf theorem; ergodic sources and Shannon-McMillan theorem.

Prereq: None G (Fall, IAP, Spring, Summer)Units arrangedCan be repeated for credit. (Fall 2009), Principles of Digital Communications I While on 6-A assignment, students receive pay from the participating company as well as academic credit for their work. The 1970 Clean Air Act was the first policy to establish federal regulations on car and industry emissions. Same subject as EC.120[J]Prereq: None U (Fall, Spring)1-2-3 units. In person not required. Enrollment limited. Subject meets with 6.041Prereq: Calculus II (GIR) G (Fall, Spring)4-0-8 unitsCredit cannot also be received for 15.079, 15.0791, 18.600, Same subject as 16.391[J]Prereq: Calculus II (GIR), 6.431, 18.06, or permission of instructor G (Fall)3-0-9 units. Prereq: 6.004 and 6.012 G (Fall)3-3-6 units.

Departmental approval required.
Subject meets with 18.404Prereq: 6.042[J] or 18.200 G (Fall)4-0-8 units. See description under subject MAS.863[J]. M. F. Kaashoek, B. Lampson, N. B. Zeldovich, Prereq: 6.031 and 6.033 G (Fall)3-6-3 units. As preparation, MIT students in the Master of Engineering in Electrical Engineering and Computer Science program will be expected to complete that program. Folding two-dimensional paper (origami): characterizing flat foldability, algorithmic origami design, one-cut magic trick. Subject meets with 6.302Prereq: Physics II (GIR) and (2.087 or 18.03) G (Spring)4-4-4 units, Subject meets with 6.301Prereq: 6.002 G (Fall)3-2-7 units, Subject meets with 6.131, 6.1311Prereq: Permission of instructor G (Fall)3-9-3 units. (Spring 2016), Information Theory Enrollment limited by availability of suitable teaching assignments. As the program moves toward thesis research, it usually centers in one of a number of areas, each characterized by an active research program. Begins with basic principles of networking.

Students who wish to apply for graduate admission in September 2021 should apply using the EECS online application website. Includes weekly programming projects.

Computer-aided design methodologies for synthesis of multivariable feedback control systems.

First third of course focuses on mass transport through membranes: diffusion, osmosis, chemically mediated, and active transport. Covers image representations, texture models, structure-from-motion algorithms, Bayesian techniques, object and scene recognition, tracking, shape modeling, and image databases. Includes overview of accelerometers, gyros, time of flight and other modern sensors. Prereq: Physics II (GIR); Coreq: 2.087 or 18.03 U (Fall, Spring)3-2-7 units. Subject meets with 6.814Prereq: (6.033 and (6.006 or 6.046[J])) or permission of instructor G (Spring)3-0-9 units, Prereq: 2.12, 2.165[J], 6.141[J], or permission of instructor G (Spring)3-0-9 units. sq ft of maker spaces (with more to come), Electrical Engineering and Computer Science, Institute for Medical Engineering and Science.

Topics change each term.