Electrical engineers and computer scientists are everywhere—in industry and research areas as diverse as computer and communication networks, electronic circuits and systems, lasers and photonics, semiconductor and solid-state devices, nanoelectronics, biomedical engineering, computational biology, artificial intelligence, robotics, design and manufacturing, control and optimization, computer algorithms, games and graphics, software engineering, computer architecture, cryptography and computer security, power and energy systems, financial analysis, and many more. The infrastructure and fabric of the information age, including technologies such as the internet and the web, search engines, cell phones, high-definition television, and magnetic resonance imaging, are largely the result of innovations in electrical engineering and computer science. The Department of Electrical Engineering and Computer Science at MIT and its graduates have been at the forefront of a great many of these advances. Current work in the department holds promise of continuing this record of innovation and leadership, in both research and education, across the full spectrum of departmental activity.
The career paths and opportunities for EECS graduates cover a wide range and continue to grow: fundamental technologies, devices, and systems based on electrical engineering and computer science are pervasive and essential to improving the lives of people around the world and managing the environments they live in. The basis for the success of EECS graduates is a deep education in engineering principles, built on mathematical, computational, physical, and life sciences, and exercised with practical applications and project experiences in a breadth of areas. Our graduates have also demonstrated over the years that EECS provides a strong foundation for those whose work and careers develop in areas quite removed from their origins in engineering.
Undergraduate students in the department take a common core of subjects that serves as their introduction to electrical engineering and computer science, and then systematically build up broad foundations and depth in selected intellectual theme areas that match their individual interests. Laboratory subjects, independent projects, and research provide engagement with principles and techniques of analysis, design, and experimentation in a variety of fields. The department also offers a range of programs that enable students to gain experience in industrial settings, ranging from collaborative industrial projects done on campus to term-long experiences at partner companies.
Graduate study in the department moves students towards mastery of areas of individual interest, through course work and significant research, often defined in interdisciplinary areas that take advantage of the tremendous range of faculty expertise in the department and, more broadly, across MIT.
More information about the Department of Electrical Engineering and Computer Science and its programs can be obtained from the department's website at http://www-eecs.mit.edu/.
For students entering MIT from secondary schools and planning professional careers in the fields of electrical engineering and computer science, or desiring preprofessional study in these fields, the Department of Electrical Engineering and Computer Science offers programs leading to the Master of Engineering degree and to the Bachelor of Science degree. Three preprofessional four-year bachelor's programs are available. One (6-1) is for students specializing in electrical science and engineering, a second (6-3) for those specializing in computer science and engineering, and a third (6-2) for those whose interests cross this traditional boundary. For interested and qualified students, the principal departmental professional program (6-P) leads directly, through a seamless five-year course of study, to the simultaneous awarding of the Master of Engineering and one of the three bachelor's degrees. An undergraduate who wishes to pursue the Master of Engineering degree should initially register for one of the three bachelor's programs.
The Master of Engineering program is being revised, and the new program will be specified in the 2009–2010 Bulletin. The specification below is for the current Master of Engineering degree, which builds on the bachelor's degree requirements for students in the department who entered MIT prior to fall 2007.
The 6-A Master of Engineering Thesis Program with Industry combines the professional Master of Engineering academic program with periods of industrial practice at affiliated companies. This program is described in more detail below. A Minor in Biomedical Engineering is also available.
[see degree chart for Master of Engineering]
The program leading to the Master of Engineering degree in Electrical Engineering and Computer Science is intended to provide the depth of knowledge and the skills needed for professional work, as well as the breadth and perspective essential for engineering leadership in an increasingly complex technological world. For undergraduates in the department who entered MIT prior to fall 2007, this program builds on the General Institute Requirements in science and the humanities, together with 18.03 Differential Equations and the core of required departmental subjects (6.001, 6.002, 6.003, and 6.004, each including a laboratory component), which introduce students to the fundamentals of electrical circuits, signals and dynamic systems, principles of computation, and the organization of computing systems. The heart of the program is a group of nine Engineering Concentration subjects selected from seven concentration lists under constraints designed to ensure appropriate depth and breadth. The remainder of the program consists of restricted choices in engineering laboratories and mathematics which, together with free electives and a thesis, permit individual students to shape their program to their special interests.
The major part of the Master of Engineering curriculum is composed of classroom subjects presented in lecture-recitation format. These subjects provide an organized introduction to the principles and applications of electrical engineering and computer science—an introduction that is reinforced by regularly assigned homework exercises and, in many cases, elementary laboratory or design problems. An appreciation of the principles of successful design is an important goal of the curriculum. The extent to which each departmental subject contributes towards this goal is indicated in the catalogue description of the subject through the specification of Engineering Design (ED) points; a total of at least 48 ED points is required in each student's program.
The focus on design is also aided by two other important components of the Master of Engineering program: laboratory-project subjects and thesis. Laboratory-project subjects expose the student to the design of experiments, equipment, or computer programs, as well as to the problems of implementation and the evaluation of results. Because of the importance of this experience, students are expected to complete one departmental laboratory subject in addition to the General Institute Laboratory Requirement, which may be satisfied by a second departmental laboratory subject. Most departmental laboratory subjects provide 12 ED points. The thesis for the Master of Engineering degree is normally 24 units of effort; each thesis is assigned an appropriate number of ED points by the thesis supervisor, depending on the nature of the activity. Theses based on group projects in which each participant has an identified responsibility are encouraged.
[see degree chart for Bachelor of Science]
The four-year preprofessional programs leading to an accredited Bachelor of Science degree are shorter and less comprehensive than the Master of Engineering program. Recipients of a Master of Engineering degree normally receive a Bachelor of Science degree simultaneously. No thesis is explicitly required for the preprofessional Bachelor of Science degree. However, every program must include a major project experience at an advanced level, culminating in written and oral reports. Normally, the thesis for the Master of Engineering degree will provide this experience for students receiving both degrees simultaneously.
The bachelor's programs are structured to provide early, hands-on engagement with ideas, activities, and learning that allow students to experience the range and power of electrical engineering and computer science in an integrated way. The required introductory core subjects, 6.01 followed by 6.02, both involve substantial work in the laboratory, and each carries six units of Institute Lab credit. These are complemented by two mathematics subjects (6.041 or 6.042, also 18.03 or 18.06) and followed by a choice of three or four foundation courses (depending on which bachelor's program is selected) from a set of subjects that provide the basis for subsequent specialization. Students define their specialization by selecting three header subjects, a department laboratory subject, and two advanced undergraduate subjects from a quite extensive set of possibilities, and also carry out an advanced undergraduate project. Combining these with the General Institute Requirements and free electives permits students considerable latitude in shaping their program to match diverse interests, while ensuring depth and mastery in a few selected areas.
Much flexibility is built into the elective structure for the department's programs. In addition, 48 units of totally unrestricted electives are included in every bachelor's and Master of Engineering program. Some further variations in requirements are routinely permitted, while still others will be considered on an individual basis. Approval of requests for substantial changes may be granted to well-prepared students whose proposed programs provide an integrated approach to a well-defined educational objective and are comparable with the listed curricula in breadth and depth. Changes affecting the required core portion of each curriculum, however, are rarely approved.
Programs leading to the professional five-year Master of Engineering degree or to the preprofessional four-year Bachelor of Science degrees can easily be arranged to be identical through the junior year. At the end of the junior year, students with strong academic records will be offered the opportunity to continue through the five-year master's program. To remain in the program and to receive the Master of Engineering degree, students will be expected to maintain strong academic records. Admission to the Master of Engineering program is open only to undergraduate students who have completed their junior year in the Department of Electrical Engineering and Computer Science at MIT. Students with other preparation seeking a master's level experience in EECS at MIT should see the Master of Science program described later in this section.
The fifth year of study toward the Master of Engineering degree can be supported by a combination of personal funds, participation in the 6-A Master of Engineering Thesis Program with Industry described later in this section, an award such as a National Science Foundation Fellowship, a fellowship or a graduate assistantship, or an interest-subsidized student loan. Assistantships require participation in research or teaching in the department or in one of the associated laboratories. Assistants usually register for no more than two or three scheduled classroom or laboratory subjects during the term, depending on the conditions of their appointments, but may receive academic credit for their participation in the teaching or research program. Support through an assistantship may extend the period required to complete the Master of Engineering program by an additional term or two. Support is granted competitively to graduate students and will not be available for all of those admitted to the Master of Engineering program. If provided, department support for Master of Engineering candidates is limited to the first three terms as a graduate student, unless the Master of Engineering thesis has been completed or the student has been admitted to the doctoral program, in which case a fourth term of support may be permitted.
Additional information about the department's professional and preprofessional programs may be obtained from the EECS Undergraduate Office, Room 38-476, 617-253-7329, ug@eecs.mit.edu.
This concentration is concerned with the use of computation to accomplish specific tasks that are complex and often only weakly defined. Attention necessarily focuses on subsets of these tasks for which useful solutions can be developed. Since problems in this area are often motivated by a desire to understand or emulate intelligent human behavior, there are strong links to other fields such as neuroscience, psychology, mechanical engineering, and linguistics.
6.034 Artificial Intelligence
Undergraduate
6.038*, 6.039J*, 6.142, 6.801, 6.803, 6.804J, 6.807*, 6.815, 6.837, 9.39*
Graduate H- and G-level
6.345, 6.825, 6.831, 6.832, 6.833, 6.834J, 6.835, 6.836, 6.838, 6.839, 6.863J,
6.864, 6.865, 6.866, 6.867, 6.868J, 6.869, 6.870, 6.871, 6.872J, 6.873J, 6.874,
6.877, 6.881, 6.882, 6.886, 6.887, 6.891, 6.892, 6.945, 6.946J
*No longer offered, but may be used if taken in previous years.
This concentration applies engineering principles and tools to the understanding of living systems and to the design of technical devices whose specifications require some knowledge of the properties of living systems. Examples include the quantitative description of biological, physiological, or psychological systems, e.g., circulatory, sensory, or skeletal systems, protein or genetic structures, speech and natural language; devices that improve the operation of pathological systems, e.g., pacemakers, sensory aids, artificial tissues; and systems that aid in the effective delivery of health care, e.g., imaging systems, medical decision aids.
6.021J Quantitative Physiology: Cells and Tissues
Undergraduate
6.022J, 6.023J, 6.024J, 6.025J, 6.801, 9.35
Graduate H-level
6.343*, 6.345, 6.524J, 6.541J, 6.542J, 6.543J, 6.551J, 6.552J, 6.555J, 6.556J, 6.561J,
6.566J, 6.581J, 6.582J, 6.863J, 6.872J, 6.873, 6.971, 6.985, 20.320, 20.481J
Appropriate graduate H-level Course 7, Course 9, Course 20, and HST subjects.
*No longer offered, but may be used if taken in previous years.
This concentration is concerned with fundamental issues in the design, modeling, identification, optimization, and control of stochastic and/or dynamic systems; and the analysis and synthesis of algorithms and systems that process signals or information. Related applications are of interest, such as optical and data communication networks; processing of speech, image, radar, geophysical, oceanographic, and other signals; distributed and parallel computation; neural networks; power systems; aerospace systems; and logistical systems.
6.011 Introduction to Communication, Control, and Signal Processing
Undergraduate
6.401*, 16.36
Graduate G- and H-level
6.231, 6.241, 6.242, 6.243J, 6.245, 6.251J, 6.252J, 6.253, 6.254, 6.255J, 6.256,
6.262, 6.263J, 6.264J, 6.281J, 6.282J, 6.302, 6.335*, 6.336J, 6.337J, 6.338J,
6.339J, 6.341, 6.342, 6.343*, 6.344, 6.345, 6.432*, 6.433*, 6.434J, 6.435,
6.436J, 6.437, 6.438, 6.440, 6.441, 6.442, 6.443J, 6.450, 6.451, 6.452, 6.453,
6.455J, 6.456J, 6.555J, 6.686*, 6.855J, 6.972, 6.986, 6.989
*No longer offered, but may be used if taken in previous years.
This concentration is characterized by its emphasis on the artifacts underlying computing systems, such as machine architectures, networks, data management systems, and compilers. The problems studied are typically relatively well defined, and solutions are evaluated according to many criteria, including performance, cost, and completeness. Many subjects emphasize design and optimization issues and the definition of interfaces.
6.033 Computer System Engineering
Undergraduate
6.035, 6.805
Graduate H-level
6.338J, 6.371*, 6.375, 6.821, 6.823, 6.824, 6.826, 6.827, 6.828, 6.829, 6.830,
6.831, 6.846, 6.857, 6.872J, 6.883, 6.884, 6.888, 6.893, 6.894
*No longer offered, but may be used if taken in previous years.
This concentration concerns the application of electronics to the tasks of signal processing and energy transduction, including synthesis and fabrication as well as analysis and modeling of components, networks, and systems. Examples include digital and analog circuits and systems; power electronics; D/A and A/D conversion; silicon and compound semiconductor physics, devices and simulation; microelectromechanical sensors and actuators; quantum physics and devices; superconductivity.
6.012 Microelectronic Devices and Circuits
Undergraduate
6.151*, 6.152J, 6.701
Graduate G- and H-level
6.301(G), 6.302, 6.331, 6.334, 6.371*, 6.373*, 6.374, 6.375, 6.376,
6.719, 6.720J, 6.728, 6.729, 6.730, 6.731, 6.732, 6.763, 6.771*, 6.772, 6.773*, 6.774,
6.775, 6.776, 6.777J, 6.778J, 6.780, 6.781J, 6.789, 6.973, 6.987
*No longer offered, but may be used if taken in previous years.
This concentration concerns the applications of Maxwell's equations and the Lorentz force law to quasistatic and electrodynamic systems and media. Examples include power systems; rotating machinery; electromechanical actuators, sensors, and systems; dielectric physics and high-voltage engineering; electromagnetic wave theory; radio, microwave, and optical systems; electrodynamics of plasmas and fusion energy systems; lasers, nonlinear optical interactions, and optical information processing; and electrophysiological and electrochemical systems.
6.013 Electromagnetics and Applications
Undergraduate
6.014*, 6.061, 6.312*, 6.602
Graduate H- and G-level
6.334, 6.339J, 6.443J, 6.453, 6.561J, 6.601(G)*, 6.621, 6.630, 6.631,
6.632, 6.633*, 6.634J, 6.635, 6.637, 6.638, 6.641, 6.642,
6.651J, 6.661*, 6.671*, 6.672*, 6.673, 6.683J, 6.685, 6.686*,
6.690, 6.691, 6.728, 6.789, 6.974, 6.988
*No longer offered, but may be used if taken in previous years.
This concentration is characterized by the use of mathematics to better understand computation. The subarea of complexity theory studies the limits and capabilities of various models of computation, as well as the relationships among models. In the subarea of algorithms, the efficient use of computational resources—such as time, memory, and the number of processors—is explored. The subarea of semantics studies the expressiveness of computer languages. Topics within theoretical computer science are drawn from the entire range of computer science, from artificial intelligence to systems engineering, but with an emphasis on formal reasoning.
6.046J Introduction to Algorithms
Undergraduate
6.044J*, 6.045J, 6.047, 18.433
Graduate H-level
6.251J, 6.336J, 6.337J, 6.338J, 6.339J, 6.440, 6.840J, 6.841J, 6.842, 6.844, 6.850, 6.851, 6.852J,
6.854J, 6.855J, 6.856J, 6.859J, 6.875J, 6.878, 6.885, 6.889, 6.890, 6.895, 6.896, 18.435J
*No longer offered, but may be used if taken in previous years.
The 6-A Master of Engineering Thesis Program with Industry enables students to combine classroom studies with practical experience in industry through a series of supervised work assignments at one of the companies or laboratories participating in the program, culminating with a Master of Engineering thesis performed at a 6-A member company. Collectively, the participating companies provide a wide spectrum of assignments in the various fields of electrical engineering and computer science, as well as an exposure to the kinds of activities in which engineers are currently engaged. Since a continuing liaison between the companies and faculty of the department is maintained, students receive assignments of progressive responsibility and sophistication that are usually more professionally rewarding than typical summer jobs.
The 6-A program is primarily designed to work in conjunction with the department's five-year Master of Engineering degree program. Internship students generally complete three assignments with their cooperating company—usually two summers and one regular term. While on 6-A assignment, students receive pay from the participating company as well as academic credit for their work. During their graduate year, 6-A students generally receive a 6-A fellowship or a research or teaching assistantship to help pay for the graduate year.
Substantial changes were made in 2006 to the 6-A program, with a new fall recruitment during which juniors who wish to work toward an industry-based Master of Engineering thesis may apply for admission to the 6-A program. The department cannot guarantee the acceptance of a student into the program, since openings are limited. At the end of their junior year, most 6-A students can expect to gain admission to 6-PA, which is the 6-A version of the department's five-year 6-P Master of Engineering degree program. 6-PA students do their Master of Engineering thesis at their participating company's facilities. They can apply up to 36 units of work-assignment credit toward their Master of Engineering degree. Thus, completing the Master of Engineering program need not take longer under 6-PA than under the 6-P program.
The first 6-A assignment may be used for the advanced undergraduate project that is required for award of a bachelor's degree, by including a written report and obtaining approval by a faculty member.
At the conclusion of their program, 6-A students are not obliged to accept employment with the company, nor is the company obliged to offer such employment.
Additional information about the 6-A Master of Engineering Thesis Program with Industry is available at the 6-A Office, Room 38-409E, 617-253-4644, and on the department website.
The programs of education offered by the Department of Electrical Engineering and Computer Science at the doctoral and predoctoral level have three aspects. First, a variety of classroom subjects in physics, mathematics, and fundamental fields of electrical engineering and computer science is provided to permit students to develop strong scientific backgrounds. Second, more specialized classroom and laboratory subjects and a wide variety of colloquia and seminars introduce the student to the problems of current interest in many fields of research, and to the techniques that may be useful in attacking them. Third, each student conducts research under the direct supervision of a member of the faculty and reports the results in a thesis.
Three advanced degree programs are offered in addition to the Master of Engineering program described above. A well-prepared student with a bachelor's degree in an appropriate field from some school other than MIT (or from another department at MIT) normally requires about one and one-half to two years to complete the formal studies and the required thesis research in the Master of Science degree program. (Students who have been undergraduates in Electrical Engineering and Computer Science at MIT and who seek opportunities for further study must complete the Master of Engineering rather than the Master of Science degree program.) With an additional year of study and research beyond the master's level, a student in the doctoral or predoctoral program can complete the requirements for the degree of Electrical Engineer or Engineer in Computer Science. The doctoral program usually takes about four to five years beyond the master's level.
There are no fixed programs of study for these doctoral and predoctoral degrees. Each student plans a program in consultation with a faculty advisor. As the program moves toward thesis research, it usually centers in one of a number of areas, each characterized by an active research program. Areas of specialization in the department that have active research programs and related graduate subjects include communications, control, signal processing, and optimization; computer science; artificial intelligence, robotics, computer vision, and graphics; electronics, computers, systems, and networks; electromagnetics and electrodynamics; optics, photonics, and quantum electronics; energy conversion devices and systems; power engineering and power electronics; materials and devices; VLSI system design and technology; nanoelectronics; bioelectrical engineering; and computational biology.
In addition to graduate subjects in electrical engineering and computer science, many students find it profitable to study subjects in other departments such as Biology, Economics, Linguistics and Philosophy, Management, Mathematics, Physics, and Brain and Cognitive Sciences.
The informal seminar is an important mechanism for bringing together members of the various research groups. Numerous seminars meet every week. In these, graduate students, faculty, and visitors report their research in an atmosphere of free discussion and criticism. These open seminars are excellent places to learn about the various research activities in the department.
Research activities in electrical engineering and computer science are carried on by students and faculty in laboratories of extraordinary range and strength, including the Laboratory for Information and Decision Systems, Research Laboratory of Electronics, Computer Science and Artificial Intelligence Laboratory, Center for Materials Science and Engineering, Laboratory for Electromagnetic and Electronic Systems, Laboratory for Energy and the Environment, Kavli Institute for Astrophysics and Space Research, Lincoln Laboratory, Media Laboratory, Francis Bitter Magnet Laboratory, Operations Research Center, Plasma Science and Fusion Center, and the Microsystems Technology Laboratories. Descriptions of many of these laboratories may be found under Interdisciplinary Research and Study in Part 1.
Because the backgrounds of applicants to the department's doctoral and predoctoral programs are extremely varied, both as to field (electrical engineering, computer science, physics, mathematics, biomedical engineering, etc.) and as to level of previous degree (bachelor's or master's), no specific admissions requirements are listed. All applicants for any of these advanced programs will be evaluated in terms of their potential for successful completion of the department's doctoral program. Superior achievement in relevant technical fields is considered particularly important.
The general requirements for the degree of Master of Science are given in Graduate Education in Part 1. The department requires that the 66-unit program consist of at least four H-level subjects which must include a minimum of 42 H-level units. In addition, a 24-unit thesis is required beyond the 66 units. Students working full-time for the Master of Science degree may take as many as four classroom subjects per term. The subjects are wholly elective and are not restricted to those given by the department. The program of study must be well balanced, emphasizing one or more of the theoretical or experimental aspects of electrical engineering or computer science.
The general requirements for an engineer's degree are given under Graduate Education in Part 1. These degrees are open to those able students in the doctoral or predoctoral program who seek more extensive training and research experiences than are possible within the master's program. Admission to the engineer's program depends upon a superior academic record and outstanding progress on a thesis. The course of studies consists of at least 162 units, 90 of which must be graduate H-level, and the thesis requirements for a master's degree.
The general requirements for the degree of Doctor of Philosophy or Doctor of Science are given under Graduate Education in Part 1. Doctoral candidates are expected to participate fully in the educational program of the department and to perform thesis work that is a significant contribution to knowledge. As preparation, MIT students in the Master of Engineering in Electrical Engineering and Computer Science program will be expected to complete that program. Students who have received a bachelor's degree outside the department, but who have not completed a master's degree program, will normally be expected to complete the requirements for the Master of Science degree described earlier, including a thesis. Students who have completed a master's degree elsewhere without a significant research component will be required to register for and carry out a research accomplishment equivalent to a master's thesis before being allowed to proceed in the doctoral program.
Details of how students in the department fulfill the General Institute Requirements for the doctoral program are spelled out in an internal memorandum. The department does not have a foreign language requirement, but does require an approved minor program.
Graduate students enrolled in the department may participate in the interdisciplinary centers described in Part 1, such as the Center for Biomedical Engineering and the Operations Research Center.
Studies toward an advanced degree can be supported by personal funds, by an award such as the National Science Foundation Fellowship (which the student brings to MIT), by a fellowship or traineeship awarded by MIT, or by a graduate assistantship. Assistantships require participation in research or teaching in the department or in one of the associated laboratories. Assistants normally register for no more than two or three scheduled classroom or laboratory subjects, depending upon the conditions of their appointments, but may receive additional academic credit for their participation in the teaching or research program.
Additional information concerning graduate academic and research programs, admissions, financial aid, and assistantships may be obtained from the Electrical Engineering and Computer Science Graduate Office, Room 38-444, 617-253-4605, or http://www-eecs.mit.edu/.
The Joint Program with the Woods Hole Oceanographic Institution is intended for students whose primary career objective is oceanographic engineering. Students divide their academic and research efforts between the campuses of MIT and WHOI. The program is described in more detail under Interdisciplinary Graduate Programs in Part 2.
The Computation for Design and Optimization (CDO) program offers a master's degree to students interested in the analysis and application of computational approaches to designing and operating engineered systems. The curriculum is designed with a common core serving all engineering disciplines and an elective component focusing on specific applications. Current MIT graduate students may pursue a CDO master's degree in conjunction with a department-based master's or PhD program. For more information, see the full program description under Interdisciplinary Graduate Programs or visit http://web.mit.edu/cdo-program/index.html.
The System Design and Management (SDM) program is a partnership among industry, government, and the university for educating technically grounded leaders of 21st-century enterprises. Jointly sponsored by the School of Engineering and the Sloan School of Management, it is MIT's first degree program to be offered with a distance learning option in addition to a full-time in-residence option. For more information, see the program description under Engineering Systems Division.
The Leaders for Manufacturing (LFM) program combines graduate education in engineering and management for those with two or more years of work experience who aspire to leadership positions in manufacturing or operations companies. This rigorous 24-month program combines subjects in technology and management. A required 6.5-month internship provides opportunity to complete a research project on site at one of LFM's partner companies. The internship leads to a dual-degree thesis, culminating in two master's degrees—an SM in management or an MBA, and an SM from a participating engineering department. The program is offered jointly through the MIT Sloan School of Management and the School of Engineering. For more information, see the program description under Engineering Systems Division or visit http://lfm.mit.edu/.
The Master of Science in Technology and Policy is an engineering research degree with a strong focus on the role of technology in policy analysis and formulation. The Technology and Policy Program (TPP) curriculum provides a solid grounding in technology and policy by combining advanced subjects in the student's chosen technical field with courses in economics, politics, and law. Many students combine TPP's curriculum with complementary subjects to obtain dual degrees in TPP and either a specialized branch of engineering or an applied social science such as political science or urban studies and planning. For additional information, see the program description under Engineering Systems Division or visit http://tppserver.mit.edu/.
William Eric Leifur Grimson, PhD
Bernard M. Gordon Professor of Medical Engineering
Department Head
Duane S. Boning, PhD
Professor of Electrical Engineering and Computer Science
Associate Head
Srinivas Devadas, PhD
Professor of Electrical Engineering and Computer Science
Associate Head
George C. Verghese, PhD
Professor of Electrical Engineering
Education Officer
Arthur Clarke Smith, PhD
Professor of Electrical Engineering
Undergraduate Officer
Terry Philip Orlando, PhD
Professor of Electrical Engineering
Graduate Officer
Markus Zahn, ScD
Thomas and Gerd Perkins Professor of Electrical Engineering
Director, 6-A Internship Program
Harold Abelson, PhD
Class of 1922 Professor of Computer Science and Engineering
Anant Agarwal, PhD
Professor of Computer Science and Engineering
Associate Director, Computer Science and Artificial Intelligence Laboratory
Akintunde I. Akinwande, PhD
Professor of Electrical Engineering
Dimitri A. Antoniadis, PhD
Ray and Maria Stata Professor of Electrical Engineering
Arvind, PhD
Charles W. and Jennifer C. Johnson Professor of Computer Science and
Engineering
Arthur Bernard Baggeroer, ScD
Ford Professor of Engineering and Mechanical Engineering
Hari Balakrishnan, PhD
Professor of Computer Science and Engineering
Abraham Bers, ScD
Professor of Electrical Engineering
Dimitri P. Bertsekas, PhD
McAfee Professor of Electrical Engineering
Robert Cregar Berwick, PhD
Professor of Computer Science and Engineering and Computational Linguistics
Sangeeta Bhatia, MD, PhD
Professor of Electrical Engineering and Health Sciences and Technology
Howard Hughes Medical Investigator
Louis Benjamin Daniel Braida, PhD
Henry Ellis Warren Professor of Electrical Engineering and Health Sciences and Technology
Rodney Allen Brooks, PhD
Panasonic Professor of Computer Science and Engineering
Vincent W. S. Chan, PhD
Joan and Irwin M. Jacobs Professor of Electrical Engineering
Anantha P. Chandrakasan, PhD
Joseph F. and Nancy P. Keithley Professor of Electrical Engineering
Director, Microsystems Technology Laboratories
Munther A. Dahleh, PhD
Professor of Electrical Engineering
Randall Davis, PhD
Professor of Computer Science and Engineering
Jesús A. del Alamo, PhD
Donner Professor of Electrical Engineering
Associate Director, Microsystems Technology Laboratories
MacVicar Faculty Fellow
Mildred Spiewak Dresselhaus, PhD
Professor of Electrical Engineering and Physics
Institute Professor
Clifton G. Fonstad, Jr., PhD
Vitesse Professor of Electrical Engineering
Dennis M. Freeman, PhD
Professor of Electrical Engineering
MacVicar Faculty Fellow
William T. Freeman, PhD
Professor of Computer Science and Engineering
James G. Fujimoto, PhD
Professor of Electrical Engineering
Robert Gray Gallager, ScD
Professor of Electrical Engineering
David K. Gifford, PhD
Professor of Computer Science and Engineering
Shafrira Goldwasser, PhD
RSA Professor of Computer Science and Engineering
Martha L. Gray, PhD
Edward Hood Taplin Professor of Medical and Electrical Engineering
Paul Edward Gray, ScD
Professor of Electrical Engineering
Alan Jay Grodzinsky, PhD
Professor of Electrical, Mechanical, and Biological Engineering
Director, Center for Biomedical Engineering
John V. Guttag, PhD
Dugald C. Jackson Professor of Computer Science and Engineering
Frederick Clair Hennie III, ScD
Professor of Computer Science and Engineering
Berthold Klaus Paul Horn, PhD
Professor of Computer Science and Engineering
Judy L. Hoyt, PhD
Professor of Electrical Engineering
Associate Director, Microsystems Technology Laboratories
Qing Hu, PhD
Professor of Electrical Engineering
Erich Peter Ippen, PhD
Elihu Thomson Professor of Electrical Engineering and Physics
Tommi S. Jaakkola, PhD
Professor of Computer Science and Engineering
Daniel Jackson, PhD
Professor of Computer Science and Engineering
M. Frans Kaashoek, PhD
Professor of Computer Science and Engineering
Leslie Pack Kaelbling, PhD
Professor of Computer Science and Engineering
Franz X. Kaertner, PhD
Professor of Electrical Engineering
David R. Karger, PhD
Professor of Computer Science and Engineering
John Gabriel Kassakian, ScD
Professor of Electrical Engineering
Director, Laboratory for Electromagnetic and Electronic Systems
James Logan Kirtley, Jr., PhD
Professor of Electrical Engineering
Leslie A. Kolodziejski, PhD
Professor of Electrical Engineering
Jeffrey Hastings Lang, PhD
Professor of Electrical Engineering
Hae-Seung Lee, PhD
Professor of Electrical Engineering
Steven B. Leeb, PhD
Professor of Electrical and Mechanical Engineering
MacVicar Faculty Fellow
Charles E. Leiserson, PhD
Professor of Computer Science and Engineering
MacVicar Faculty Fellow
Jae Soo Lim, PhD
Professor of Electrical Engineering
Barbara H. Liskov, PhD
Ford Professor of Engineering
Institute Professor
Associate Provost for Faculty Equity
Tomás Lozano-Pérez, PhD
TIBCO Professor of Computer Science and Engineering
Nancy Ann Lynch, PhD
NEC Professor of Software Science and Engineering
Thomas L. Magnanti, PhD
Professor of Management Science and Electrical Engineering
Institute Professor
Roger Greenwood Mark, MD, PhD
Distinguished Professor of Health Sciences and Technology and Electrical Engineering and Computer Science
Muriel Medard, PhD
Professor of Electrical Engineering
Associate Director, Laboratory for Information and Decision Systems
Alexandre Megretski, PhD
Professor of Electrical Engineering
Albert Ronald Meyer, PhD
Hitachi America Professor of Computer Science and Engineering
Silvio Micali, PhD
Dugald C. Jackson Professor of Computer Science and Engineering
Marvin Lee Minsky, PhD
Professor of Media Arts and Sciences and Computer Science and Engineering
Sanjoy Kumar Mitter, PhD
Professor of Electrical Engineering and Engineering Systems
Joel Moses, PhD
Professor of Computer Science and Engineering, and Engineering Systems
Institute Professor
Acting Director, Center for Technology, Policy, and Industrial Development
Alan Victor Oppenheim, ScD
Ford Professor of Engineering
Ronald Richard Parker, PhD
Professor of Electrical Engineering and Nuclear Science and Engineering
Pablo Parrilo, PhD
Finmeccanica Career Development Professor of Electrical Engineering and Computer Science
William Tower Peake, ScD
Professor of Electrical and Bioengineering
Paul Livingstone Penfield, Jr., ScD
Professor of Electrical Engineering
Rajeev J. Ram, PhD
Professor of Electrical Engineering
Associate Director, Research Laboratory of Electronics
L. Rafael Reif, PhD
Fariborz Maseeh Professor of Emerging Technology
Provost
Martin C. Rinard, PhD
Professor of Computer Science and Engineering
Ronald Linn Rivest, PhD
Andrew and Erna Viterbi Professor of Computer Science and Engineering
James Kerr Roberge, ScD
Professor of Electrical Engineering
Ronitt Rubinfeld, PhD
Professor of Computer Science and Engineering
Daniela L. Rus, PhD
Professor of Computer Science and Engineering
Associate Director, Computer Science and Artificial Intelligence Laboratory
Herbert H. Sawin, PhD
Professor of Chemical Engineering and Electrical Engineering
Joel E. Schindall, PhD
Bernard M. Gordon Professor of the Practice
Associate Director, Laboratory for Electromagnetic and Electronic Systems
Martin A. Schmidt, PhD
Professor of Electrical Engineering
Associate Provost
Jeffrey Howard Shapiro, PhD
J. A. Stratton Professor of Electrical Engineering
Director, Research Laboratory of Electronics
Henry I. Smith, PhD
Professor of Electrical Engineering
Charles G. Sodini, PhD
Clarence Joseph LeBel Professor of Electrical Engineering
David Hudson Staelin, ScD
Professor of Electrical Engineering
Kenneth Noble Stevens, ScD
Professor of Electrical Engineering and Health Sciences
Madhu Sudan, PhD
Fujitsu Professor of Computer Science and Engineering
Associate Director, Computer Science and Artificial Intelligence Laboratory
Gerald Jay Sussman, PhD
Panasonic Professor of Electrical Engineering
Peter Szolovits, PhD
Professor of Computer Science and Engineering and Health Sciences and Technology
Seth Teller, PhD
Professor of Computer Science and Engineering
Bruce Tidor, PhD
Professor of Electrical Engineering and Computer Science, and Biological Engineering
Donald Eugene Troxel, PhD
Professor of Electrical Engineering
John N. Tsitsiklis, PhD
Clarence Joseph LeBel Professor of Electrical Engineering and Computer Science
Stephen Ashley Ward, PhD
Professor of Computer Science and Engineering
Cardinal Warde, PhD
Professor of Electrical Engineering
Jacob K. White, PhD
Cecil H. Green Professor of Electrical Engineering
Alan Steven Willsky, PhD
Edwin S. Webster Professor of Electrical Engineering
Gerald Loomis Wilson, ScD
Vannevar Bush Professor of Electrical and Mechanical Engineering
Patrick Henry Winston, PhD
Ford Professor of Engineering
Gregory W. Wornell, PhD
Professor of Electrical Engineering
John L. Wyatt, Jr., PhD
Professor of Electrical Engineering
Victor W. Zue, ScD
Delta Electronics Research Professor of Electrical Engineering and Computer Science
Director, Computer Science and Artificial Intelligence Laboratory
Elfar Adalsteinsson, PhD
Associate Professor of Electrical Engineering and Computer Science and Health Sciences and Technology
Saman P. Amarasinghe, PhD
Associate Professor of Computer Science and Engineering
Marc A. Baldo, PhD
Associate Professor of Electrical Engineering
Regina A. Barzilay, PhD
Douglas T. Ross Career Development Associate Professor of Computer Science and Engineering
Karl K. Berggren, PhD
Emanuel E. Landsman Associate Professor of Electrical Engineering and Computer Science
Vladimir Bulovic, PhD
Associate Professor of Electrical Engineering
Isaac L. Chuang, PhD
Associate Professor of Electrical Engineering
Michael J. Collins, PhD
Associate Professor of Computer Science and Engineering
Luca Daniel, PhD
Emanuel E. Landsman Career Development Associate Professor of Electrical Engineering
Trevor Darrell, PhD
Associate Professor of Computer Science and Engineering
Erik D. Demaine, PhD
Associate Professor of Computer Science and Engineering
Frederic P. Durand, PhD
Associate Professor of Computer Science and Engineering
Michael D. Ernst, PhD
Associate Professor of Computer Science
Polina Golland, PhD
Distinguished Alumnus 1964 Career Development Associate Professor of Computer Science and Engineering
Vivek K. Goyal, PhD
Esther and Harold Edgerton Career Development Associate Professor of Electrical Engineering and Computer Science
Peter L. Hagelstein, PhD
Associate Professor of Electrical Engineering
Jongyoon Han, PhD
Associate Professor of Electrical Engineering and Biological Engineering
Piotr Indyk, PhD
Associate Professor of Computer Science and Engineering
Dina Katabi, PhD
Class of 1947 Career Development Associate Professor of Computer Science and Engineering
Manolis Kellis, PhD
Van Tassel Career Development Associate Professor of Electrical Engineering and Computer Science
Samuel R. Madden, PhD
Associate Professor of Computer Science and Engineering
Robert C. Miller, PhD
NBX Career Development Associate Professor of Computer Science and Engineering
Robert T. Morris, PhD
Associate Professor of Computer Science and Engineering
Asuman E. Ozdaglar, PhD
Class of 1943 Career Development Associate Professor of Electrical Engineering
David J. Perreault, PhD
Associate Professor in Power Engineering
Michael H. Perrott, PhD
Associate Professor in Power Engineering
Jovan Popovic, PhD
Associate Professor of Computer Science and Engineering
Rahul Sarpeshkar, PhD
Associate Professor of Electrical Engineering
Collin M. Stultz, PhD, MD
W.M. Keck Career Development Associate Professor of Electrical Engineering and Computer Science,
and Health Sciences and Technology
Antonio Torralba, PhD
Associate Professor of Electrical Engineering and Computer Science
Joel Voldman, PhD
Associate Professor of Electrical Engineering
Lizhong Zheng, PhD
Steven and Renee Finn Associate Professor of Electrical Engineering
Scott Aaronson, PhD
Assistant Professor of Electrical Engineering and Computer Science
Constantinos Daskalakis, PhD
Assistant Professor of Computer Science and Engineering
Joel L. Dawson
Assistant Professor of Electrical Engineering
Jing Kong, PhD
ITT Career Development Assistant Professor of Electrical Engineering
Tomás Palacios, PhD
Assistant Professor of Electrical Engineering
Devavrat Shah, PhD
Jamieson Career Development Assistant Professor of Electrical Engineering and Computer Science
Vladimir M. Stojanovic, PhD
Assistant Professor of Electrical Engineering and Computer Science
Russell L. Tedrake, PhD
X-Consortium Assistant Professor of Computer Science and Engineering
Mehmet Fatih Yanik, PhD
Robert J. Shillman Career Development Assistant Professor of Electrical Engineering
Nikolai Zeldovic, PhD
Assistant Professor of Computer Science and Engineering
G. David Forney, PhD
Adjunct Professor of Electrical Engineering
Butler W. Lampson, PhD
Adjunct Professor of Computer Science and Engineering
Michael Stonebraker, PhD
Adjunct Professor of Computer Science and Engineering
Sivan A. Toledo, PhD
Associate Professor of Computer Science
Christopher J. Terman, PhD
Dedric A. Carter, PhD
Tony Eng, PhD
Sanjoy Mahajan, PhD
Byron M. Roscoe, MS
Gim Hom, EE
Lourenço R. Pires, BS
Scott J. Poesse, AS
David D. Clark, PhD
Thomas Frederic Knight, Jr., PhD
Elmer C. Lupton, PhD
Sheila Prasad, PhD
Bruce D. Wedlock, ScD
Shivani Agarwal, PhD
Michael Athans, PhD
Professor of Electrical Engineering, Emeritus
Amar Gopal Bose, ScD
Professor of Electrical Engineering, Emeritus
James Donald Bruce, ScD
Professor of Electrical Engineering, Emeritus
Fernando José Corbató, PhD
Professor of Computer Science and Engineering, Emeritus
Jack Bonnell Dennis, ScD
Professor of Computer Science and Engineering, Emeritus
Murray Eden, PhD
Professor of Electrical Engineering, Emeritus
David Jacob Epstein, ScD
Professor of Electrical Engineering, Emeritus
Shaoul Ezekiel, ScD
Professor of Aeronautics and Astronautics and Electrical Engineering, Emeritus
Robert Mario Fano, ScD
Ford Professor of Engineering, Emeritus
Lawrence Samuel Frishkopf, PhD
Professor of Electrical and Bioengineering, Emeritus
Harry Constantine Gatos, PhD
Professor of Molecular Engineering and Electronic Materials, Emeritus
Leonard A. Gould, ScD
Professor of Electrical Engineering, Emeritus
Carl Eddie Hewitt, PhD
Associate Professor of Computer Science and Engineering, Emeritus
Robert Spayde Kennedy, ScD
Professor of Electrical Engineering, Emeritus
Francis Fan Lee, PhD
Professor of Electrical Engineering and Computer Science, Emeritus
Jerome Ysrael Lettvin, MD
Professor of Electrical and Bioengineering and Communications Physiology, Emeritus
Alan Louis McWhorter, ScD
Professor of Electrical Engineering, Emeritus
Frederic Richard Morgenthaler, PhD
Professor of Electrical Engineering, Emeritus
Walter E. Morrow, Jr., MS
Professor of Electrical Engineering, Emeritus
George Woodman Pratt, Jr., PhD
Professor of Electrical Engineering, Emeritus
Jack Philip Ruina, DEE
Professor of Electrical Engineering, Emeritus
Jerome H. Saltzer, ScD
Professor of Computer Science and Engineering, Emeritus
William Francis Schreiber, PhD
Professor of Electrical Engineering, Emeritus
Campbell Leach Searle, SM
Professor of Electrical Engineering, Emeritus
Stephen David Senturia, PhD
Professor of Electrical Engineering, Emeritus
William McConway Siebert, ScD
Ford Professor of Engineering, Emeritus
Louis Dijour Smullin, SM
Professor of Electrical Engineering, Emeritus
Richard Douglas Thornton, ScD
Professor of Electrical Engineering, Emeritus
Thomas Fischer Weiss, PhD
Professor of Electrical and Bioengineering, Emeritus
David Calvin White, PhD
Ford Professor of Engineering, Emeritus
John McReynolds Wozencraft, PhD
Professor of Electrical Engineering, Emeritus