Professor Joseph P. Noonan, Chair; Communications, coding and information theory,
digital processing
Emeritus Professor Ronald B. Goldner, Applied optics, optoelectronic materials and
devices, solar energy conservation, conversion, and storage
Emeritus Professor Robert A. Gonsalves, Digital image processing, phase retrieval and
diversity
Professor Mohammed Nurul Afsar, Microwaves, design and measurements
Professor Douglas Preis, Electromagnetics, signal processing, audio engineering
Associate Professor Chorng Hwa Chang, Computer engineering, communication
networks
Associate Professor Denis W. Fermental, Control engineering, analog electronics
Associate Professor Karen Panetta, Simulation, multimedia
Assistant Professor Valencia Joyner, High-speed /
low-noise integrated circuits for optical RF communications,
optoelectronic VLS, radiation effects in integrated circuits
Assistant Professor Sameer Sonkusale, Mixed-signal VLSI design, sensor
electronics
Lecturer Karlen Kocharyan, Microwave and MM-wave devices, MM-wave
measurement methods
Lecturer Ronald Lasser, Product development professional,
innovation managment
Lecturer Paul McCormack, Software defined radio, FPGA-based computing
Lecturer Gary Scalzi,
Microwave and RF receivers, phased array antenna systems
Lecturer Igor Tkachov, Microwave circuits
Research Professor Arthur Winston, Instrumentation and measurement
Research Assistant Professor Yong Wang, Microwave/antenna
simulation and measurement
Research Associate Konstantine Korolev, Study of complex
dielectric permittivity and magnetic permeability of solid, liquid, and powered
substances in millimeter wavelengths; magnetic properties of ferrimagnet
materials in millimeter waves
Adjunct Professor Edward T. Lewis, Microelectronics, VLSI, semiconductor physics
Adjunct Professor Robert J. Mailloux, Antennas
Adjunct Professor David Marquis, Radar
Adjunct Professor Albert Paradis, Control theory
Adjunct Associate Professor
Alva Couch, Parallel computing, computer
graphics
Adjunct Associate Professor Mark
Cronin-Golomb, Optical instrumentation, laser
tweezers, atomic force microscopy, nonlinear optics
Adjunct Associate Professor
Sergio Fantini, Biomedical instrumentation,
medical optics, near infrared imaging of the brain, optical mamography, muscle
hemodynamics, diffuse optical tomography
Adjunct Associate Professor Soha
Hassoun, CAD, VLSI design
Adjunct Research Professor Paul Kelley,
Nonlinear optics, lasers, optical communication
The Electrical and Computer Engineering Department educates the leaders who will
create and manage information that characterizes modern society. Our students
provide the devices, tools, and communications networks needed by our society.
The electrical engineer designs devices and systems for the generation, control, and transmission of information and electric power; and develops materials and techniques that are useful for this work. The tools of the trade are physics, applied mathematics, probability, system theory, and computer simulation.
The computer engineer designs devices and systems for the management of information in digital form. The devices include audio and video systems; microprocessor control systems; and digital communications, mechanisms, and networks. The computer engineer often finds that software is as crucial a component as hardware in a good design.
The department offers degree programs in electrical engineering and computer engineering for students in the School of Engineering. Minors in biomedical engineering, computer science, and multimedia arts are also available.
The department offers courses in computer programming, data structures, software engineering, operating systems, digital circuits and systems, very large-scale integration, computer architecture, linear circuits and systems, signal processing, microwaves and microwave devices, electro-optics, communications, and automatic control. Design is integral to the engineering degree programs, each of which culminates in a senior design project. A number of introductory courses are without college-level prerequisites.
By careful selection of course work, students who follow the standard curricula listed below can satisfy admission requirements for professional schools of medicine, dentistry, business, or law.
Undergraduate Programs
The mission of the Department of Electrical and Computer Engineering is to
provide our students with educational experiences which give them a sound basis
for professional practice, advanced education, and lifelong learning. At its
core is the goal that students learn the fundamental principles of electrical
and computer engineering and master engineering methods to solve challenging and
diverse problems. Further, the department strives to have each
student develop
the leadership and communications skills necessary to relate these solutions to
both technical and non-technical communities. The faculty is dedicated to
accomplishing this mission through the integration of teaching and research.
Bachelor of Science in Electrical Engineering
The objectives of the Electrical Engineering Program are:
• to provide students with educational experiences that prepare them for
fulfilling careers in technology related industries and research institutions
and instill in them an appreciation for life-long learning and adaptation so
that they may better apply their knowledge and experience to the continually
evolving, broad domain of Electrical Engineering.
• to offer high-quality instruction that encompasses not only technical content
but also makes students aware of the societal implications of technology.
• to present a curriculum built on fundamental principles of mathematics,
science, and engineering that utilizes departmental disciplinary strengths and
gives students the ability to integrate and apply these principles.
• to teach the curriculum through integrated experiences in analysis, design,
experimentation, and computation.
• to foster an environment where students learn to appreciate and refine
fundamental communications skills through the integrated use of research,
written reports, and presentations targeted at both similar and diverse
audiences.
• to challenge students to exercise their knowledge, skills, and creativity
through exercises in design and problem resolution in both individual and
collaborative forums.
• to encourage students, through advising and curriculum structure, to pursue
individualized, well-rounded plans of study including elective courses,
internships, undergraduate research, and the development of leadership skills.
The accredited curriculum leading to the degree of bachelor of science in electrical
engineering is intended to qualify students to begin a professional career in electrical
engineering or to proceed to advanced study. The departmental concentration electives and
free electives permit the undergraduate to select additional courses in the core areas.
Students may study a wide variety of topics, including semiconductor
integrated circuits, VLSI design, biomedical engineering, microwaves and
telecommunications, antennas and antenna systems, optical electronics, lasers, fiber optics, digital image processing, semiconductor and optoelectronics
materials, signal processing, switching circuit design, computer architecture, parallel
processing, computer systems, and multimedia.
The core courses of the degree program contain elements of design as well as analysis, and include associated laboratory work. They involve concepts of circuits and systems, digital and analog electronics, microprocessors, electromagnetic fields, automatic control and communication.
The program leading to this degree is accredited by the Engineering Accreditation Commission (EAC) of the Accreditation Board for Engineering and Technology (ABET). The required courses for the electrical engineering program are listed below. They are presented in one possible arrangement for completing the program.
First Year
FALL TERM
Mathematics 11
Physics 11 with lab
Engineering 1 (half credit)
Elective (half-credit course in Engineering)
English 1
SPRING TERM
Mathematics 12
Physics 12 with lab
Chemistry 1 or 16
Engineering 2 (half credit)
Elective (half-credit course in Engineering)
Sophomore Year
FALL TERM
Mathematics 13
Engineering Science 3 (Introduction to Electrical Engineering)
Department foundation elective
Humanities or social sciences elective
Science elective
SPRING TERM
Mathematics 38
Engineering Science 4 (Introduction to Digital Logic Circuits)
Electrical Engineering 13 (Circuit Theory)
Department foundation elective
Department foundation elective
Junior Year
FALL TERM
Electrical Engineering 11 (Introduction to Analog Electronics)
Electrical Engineering 14 (Microprocessor Architecture and Applications)
Department foundation (Computer Science 11)
Humanities or social sciences elective
SPRING TERM
Electrical Engineering 18 (Electromagnetic Waves)
Electrical Engineering 12 (Intermediate Electronics)
or Electrical Engineering 50 (Introduction to Biomedical Engineering)
Department foundation (Electrical Engineering 102)
Department foundation elective
Humanities or social sciences elective
Senior Year
FALL TERM
Electrical Engineering 97 (Design Project, half credit)
Electrical Engineering 105 (Feedback Control Systems)
Electrical Engineering 107 (Communications Systems I)
Probability/statistics (see department list)
Free elective
Department concentration elective
Humanities or social sciences elective
SPRING TERM
Electrical Engineering 98 (Design Project, half credit)
Department concentration elective
Department concentration elective
Humanities or social sciences elective
Free elective
The selection of elective courses described above may be altered for program flexibility. The assignments here represent one possible way of meeting the requirements for the bachelor of science degree in electrical engineering.
A probability and statistics course, taken for a grade, is required. The menu for the requirement is: Civil Engineering 102 (Probability and Statistics in Engineering), Mathematics 161 (Probability) AND 162 (Statistics), Biology 132 (Biostatistics), Physics 153 (Statistical Mechanics), Electrical Engineering 108 (Communication Systems II).
Four of the elective departmental concentration courses are normally chosen from
nonrequired electrical engineering courses. The additional one is selected from
nonrequired electrical engineering courses; from appropriate graduate-level courses in
biology, chemistry, computer science, engineering, engineering science, mathematics or
physics; or from a list (provided by the department) of approved undergraduate technical
courses.
Bachelor of Science in Computer Engineering
The objectives of the Computer Engineering program are:
• to provide and expose students to fundamental theory and practice in
Computer Engineering;
• to prepare students for careers and leadership in computer-related
industry and research institutions at a professional level, for
life-long learning, and for adapting to changes in these
fast-paced fields;
• to offer opportunities for students to participate in teaching and
research experiences including inter-disciplinary research.
In both required and elective courses throughout the curriculum,
the digital computer is used extensively in the study of electrical systems, components,
and materials. Students wishing to investigate more intensively the analysis and design of
digital computers, as well as the analysis, design, and operation of systems in which
computers are an integral part, may follow the computer engineering program.
The program leading to this degree is accredited by the Engineering Accreditation Commission (EAC) of the Accreditation Board for Engineering and Technology (ABET). The required courses for the computer engineering program are listed below. They are presented in one possible arrangement for completing the program.
First Year
The same as the standard program in electrical engineering.
Sophomore Year
FALL TERM
Mathematics 13
Engineering Science 3 (Introduction to Electrical Engineering)
Department foundation elective
Science elective
Humanities or social sciences elective
SPRING TERM
Mathematics 38
Engineering Science 4 (Introduction to Digital Logic Circuits)
Computer Science 11 (Introduction to Computer Science)
Electrical Engineering 13 (Circuit Theory)
Humanities or social sciences elective
Junior Year
FALL TERM
Electrical Engineering 11 (Introduction to Analog Electronics)
Electrical Engineering 14 (Microprocessor Architecture and Applications)
Computer Science 15 (Data Structures)
Humanities or social sciences elective
SPRING TERM
Electrical Engineering 18 (Electromagnetic Waves)
Electrical Engineering 26 (Digital Logic Systems)
Electrical Engineering 102 (Linear Systems)
Mathematics 22
Humanities or social sciences elective
Senior Year
FALL TERM
Electrical Engineering 97 (Design Project, half credit)
Probability/statistics (see department list)
Electrical Engineering 107 (Communication Systems I)
Electrical Engineering 126 (Computer Engineering)
Electrical Engineering 128 (Operating Systems)
Computer engineering elective*
Humanities or social sciences elective
SPRING TERM
Electrical Engineering 97 (Design Project)
Computer engineering elective*
Computer engineering elective*
Free elective
Free elective
*Computer engineering electives are selected from a list provided by the department. The
selections are subject to the approval of the departmental adviser.
Bachelor of Science in Engineering
Alternatively, students in the electrical and computer engineering department may follow programs of
study leading to the bachelor of science degree in engineering. These programs of study
differ from the regular programs only in the selection of the twelve required departmental
concentration courses and the eight required departmental foundation courses. In the
bachelor of science in engineering program, these twenty courses are selected by the
student, with the approval of the departmental adviser, to satisfy student interest or
professional objectives. Normally, five are engineering or engineering science courses,
while the remaining fifteen are selected from engineering, engineering science, computer
science, mathematics, natural sciences, and other related areas.
Bachelor of Science
If a student wants a program with a strong computer engineering or
other electrical engineering component, the faculty adviser will normally be from the
Department of Electrical and Computer Engineering. (See School of Engineering
Information.)
Undergraduate Minor Programs
(See Disciplinary Minor Programs for restrictions.)
Biomedical Engineering
The department offers a minor in biomedical engineering. Details are available
from the Department of Biomedical Engineering.
Computer Science
The department offers a minor in computer science for those students
pursuing the BSEE degree. Details are available from the Department of Computer
Science.
Multimedia Arts
The department offers an interdisciplinary minor in multimedia arts, administered jointly by the Departments of Music and Electrical and Computer
Engineering. (See Multimedia Arts for description of this minor.)
Certificate Program
The department offers graduate-level certificates in microwave and
wireless engineering and other specialized topics as approved. The certificates are
offered on a part-time, nondegree basis for students seeking professional training in
these fields. In most cases, courses taken in a certificate program can be transferred
into a graduate degree program. For more information, see
Microwave and Wireless Engineering in this bulletin
or contact the Office of
Graduate and Professional Studies at 617-627-3395 or visit
http://ase.tufts.edu/gradstudy.
Graduate Program
Master of Science
The department offers a program leading to the M.S. degree in electrical
engineering. The master of science degree requires ten courses, usually one credit per course, and all courses
must be at the 100 level or above. At least eight credits must be from approved courses.
The two remaining credits usually are a creative thesis work, written and defended orally,
and performed under the supervision of a faculty member. Alternatively, these two credits
can be a supervised project plus another approved course.
Doctor of Philosophy
The department offers a program leading to the Ph.D.
in electrical engineering. Students in each
program must already have a master of science degree in the same or a related field. Applicants to the
Ph.D. program who do not have the M.S. degree will instead be considered for admission to
the master of science degree program, and on completion of that program will
automatically be considered for admission to the Ph.D. program.
The department differentiates between admission to the Ph.D. program and Ph.D. candidacy. No students are accepted as formal doctoral candidates until they have exhibited merit in a qualifying examination and have identified a faculty member who has agreed to be their dissertation supervisor.
Doctoral candidates are expected to plan a program of research under the direction of their dissertation supervisor and with the guidance of a faculty committee. On completion of this research, the candidate must prepare and publicly defend a dissertation.
Students in electrical engineering must take twenty credits beyond the M.S. degree. These credits include both course work and a dissertation; the dissertation effort is usually assigned ten credits. The qualifying examination is a single, written examination that must be taken within one academic year of admission to the Ph.D. program (within two academic years for part-time students).
Typical areas available for dissertations include solid-state materials with an emphasis on optoelectronic and solar energy applications, microwave devices and systems, microwave thermography, electromagnetics, antennas, plasma physics, small computers, microprocessor applications, computer architecture, multiprocessing, VLSI design, VLSI CAD, microelectronics, communications systems, information theory, signal processing, digital electronics, Fourier optics, coherence theory, image analysis, nonlinear optics, and circuit theory.
Undergraduate Courses
11 Introduction to Analog Electronics. Characteristics of the operational amplifier; amplifiers and active filters using the operational amplifier; characteristics of junction diodes, bipolar transistors, and field-effect transistors; analysis and design of diode circuits, small-signal models and the low-frequency analysis of transistor amplifiers; computer modeling of discrete semiconductor circuits; analysis of logic circuits. Associated laboratory work. Prerequisites: Electrical Engineering 13, Engineering Science 3. Fall. Fermental
12 Intermediate Electronics. Techniques used in the analysis of multitransistor circuits; RC oscillators, LC oscillators, and waveform generators; transistor arrangements common to integrated circuits, including current mirrors, balanced pairs, and output structures; power amplifiers. Associated laboratory work. Prerequisite: Electrical Engineering 11. Spring. Fermental
13 Circuit Theory. Circuit response to various excitations, Laplace transform analysis, s-plane and zero-pole interpretations. Frequency response and its relationship to the impulse response, network topology, state-space analysis. Prerequisite: Engineering Science 3. Spring. Members of the department
14 Microprocessor Architecture and Applications. Introduction to the microprocessor with a comparative analysis of some popular forms; memory devices, interface devices, and other support circuitry; machine language and assembly language programming. Microprocessor use in dedicated applications. The course includes a laboratory devoted to software and hardware design. Prerequisites: Engineering Science 4, some programming experience. Fall. Panetta
18 Electromagnetic Fields and Waves. Coordinate systems and transformations, base vectors, scalar and vector point functions, gradient, divergence, curl, Laplacian, divergence theorem, Stokes theorem, source-point and field-point notation, electrostatic and magnetostatic fields and laws, scalar and vector potential functions, continuity equation, Maxwell's equations in differential and integral form, boundary conditions, wave equation, time-harmonic fields, plane waves, electromagnetic radiation, dipole antenna, Poynting theorem, distributed circuits and transmission lines. Associated laboratory work. Prerequisites: Mathematics 38, Electrical Engineering 13. Spring. Preis
26 Digital Logic Systems. Integrated circuit logic families and their characteristics. Review of combinatorial and sequential design using SSI devices. Arithmetic circuits, shift registers, and counters. Random access and read only memories. Design of memory systems. Waveshaping devices and display devices. Programmable logic arrays and their applications. Asynchronous and synchronous system design using MSI and LSI devices. Finite state machines and the specification of system controllers. Systematic approaches to controller realization. Associated laboratory work. Prerequisites: Engineering Science 4 and Electrical Engineering 14, or consent. Spring. Members of the department
50 Introduction to Biomedical Engineering. (Cross-listed as Biomedical Engineering
50 and Engineering Science 50.) An introduction to the interdisciplinary nature
of biomedical engineering. The biological, chemical, electrical, and mechanical
principles involved in the design and operation of medical devices.
Biopotentials, electrodes, transducers, biocompatibility of materials, and
patient safety. Prerequisite: consent. Fall. Vo
91, 92 Seminar. An undergraduate course devoted to the study of the special
problems in electrical engineering. Prerequisite: consent. Credit as arranged. Members
of the department
93, 94 Special Topics. Guided independent study of an approved topic. Prerequisite: consent. Credit as arranged. Members of the department
95, 96 Special Projects. Undergraduate research under supervision of a member of the department. Prerequisite: consent. Credit as arranged. Members of the department
97, 98 Design Project. A comprehensive design project undertaken during the senior
year, individually or as a team, under the guidance of a faculty supervisor. The
work is spread over two terms. Prerequisite: senior standing or consent. Members of the
department
99 Undergraduate Internship in Electrical Engineering. Supervised internships at
suitable locations in industry and government. Jobs offered on basis of availability. Term
paper required. Credit not given retroactively. Prior arrangements necessary.
Prerequisite: consent. Members of the department
Courses for Undergraduate and Graduate Students
100 Design of Medical Instrumentation. (Cross-listed as Biomedical Engineering 100.) An introduction to the design principles of microprocessor-based medical instrumentation and simple biomedical signal analysis. Topics include the origin of bioelectric potentials, characteristics of various biological signals, transducers, A/D converters, analog and digital filters, instrumentation amplifiers, patient isolation, battery powered equipment, and microprocessor design. Each student will be required to complete a paper design of a biomedical instrument. Prerequisites: Electrical Engineering 11 and 14. Spring. Vo
101 Introduction to Medical Optics and Lasers. (Cross-listed as Biomedical Engineering 101.) Laser, optical techniques, and optical instrumentation in medicine. Tissue optics and light-tissue interactions: photo-thermal, photo-mechanical, and photo-chemical effects. Phototherapy and photodiagnosis. Tissue oximetry, optical tomography, functional assessment. The course includes laboratory experiments. A written report is required. Prerequisite: Electrical Engineering/Engineering Science 50/150 or consent. Fantini
102 Linear Systems. Vector spaces, orthogonality, Fourier series, the Fourier transform, the LaPlace transform, convolution, and correlation. The Z transform. Matrices, Eigenvectors, and Eigenvalues. Numerical methods for linear systems. Prerequisite: Mathematics 38 or consent. Fall. Noonan
103 Introduction to VLSI Design. An introduction to CMOS VLSI design. Topics include the structure of the MOS transistor, theory of operation, fabrication methods, CMOS circuit design, subsystem design, the PLA and finite state machines, introduction to memory design, system timing techniques. Students will design a circuit of modest complexity. Prerequisite: senior standing or consent. Spring. Sonkusale
105 Feedback-Control Systems. The automatic control problem, mathematical models of physical systems, types of control systems, performance specifications, root locus, Bode diagrams. Nyquist plots, stability criteria, the design of series compensation networks, associated laboratory work. Prerequisite: Electrical Engineering 102. Fall. Fermental
106 Advanced Feedback-Control Systems. A continuation of Electrical Engineering 105. Topics include an introduction to digital control systems, difference equations, the Z-transform, implementation of the discrete filter, stability of sample-data systems, an introduction to state-space concepts and the control of multivariable systems. Prerequisite: Electrical Engineering 105. Spring. Fermental
107 Communications Systems I. General theory of expansion, Fourier series and discrete spectra. Fourier integrals and continuous spectra. Hilbert transforms; analog and digital modulation systems, including ASK, PSK, and FSK; sampling theorem; measure of information; channel capacity. Associated laboratory work. Prerequisite: Electrical Engineering 13. Spring. Noonan
108 Communication Systems II. Probability theory and random variable analysis applied to communications and signal-processing problems. Random process models, correlation and power spectra analysis of signals and noise. Effects of noise on modulation systems. Mean squared estimations, optimum receiver and signal space concepts. Prerequisites: Electrical Engineering 18 and 107. Fall. Noonan
109 Optical Electronics. (Cross-listed as Biomedical Engineering 109.) The objective of this course is to provide the foundations of electro-optics from physical optics and quantum mechanics models. Emphasis is placed on gaining physical insight, largely from analyzing experiments and measurements. Class problems address: electro-optics instruments such as ellipsometers and prism-coupled optical waveguides, optics of solids including crystal optics and electro-optic modulation, interference including coherence and Fourier optics, optical detectors, and lasers and other optical sources. There are associated laboratory demonstrations to illustrate many of the course optics, and there is an electro-optics design paper assignment. Prerequisite: Electrical Engineering 18. Goldner
111 Selected Topics in Applied Optics. The course content will vary from year to year, but will be selected from application areas of current interest such as infrared imaging systems; design, fabrication, and testing of electro-optical systems; medical optics lasers; speckle; and optical detectors. Prerequisite: Electrical Engineering 109 or consent. Visiting professors and/or members of the department
113 Semiconductor Devices. Introduction to semiconductor physics; equilibrium distribution; charge transport; P-N junction theory; diodes; bipolar transistor; field-effect devices; integrated circuit design and fabrication processes. Prerequisites: Electrical Engineering 11 and Mathematics 38, or Physics 13 and 42. Fall. Lewis
114 Fiber Optical Communication. Fundamentals of fiber optical communications, including principles of optical propagation in fibers, optical fiber measurements, sources, modulators, detectors and other components. Also, noise and distortion effects, wavelength division multiplexing, time division multiplexing, cable broadcasting, point-to-point communication, and optical networks. Prerequisite: Electrical Engineering 109 or consent. Members of the department
117 Introduction to Microwave Devices. Transmission and reflection of guided waves. The Smith chart and matching. Scattering parameters and flow graphs. Biological effects. Laboratory measurement of power, frequency, attenuation, Q-factor, and time-domain reflectometry. Prerequisite: Electrical Engineering 18, or 13 and consent. Fall. Afsar
118 Microwave Semiconductor Devices and Circuits. Varistor and varactor diodes,
PIN diodes, microwave transistors, negative resistance devices. Gallium arsenide
properties and technology. Receiving mixers, transmitting modulators, amplifiers,
oscillators, switches, limiters, duplexers, phase shifters, and harmonic generators.
Laboratory characterization of devices and circuits, including noise measurements.
Prerequisite: Electrical Engineering 117 or consent. Spring. Members of the department
120 Computer Animation for Technical Communications. Create 2-D and 3-D
animations to present and analyze complex scientific topics. Examples include NASA
visualizations of atmospheric data and aerospace design mathematics of 3-D space,
rotation, and displacement. Rendering algorithms including Phong, Garoud, and Ray Tracing.
Hands-on experience in animation and graphic development, including manipulation of
scanned images, storyboarding, video production, and CD-ROM technology. Computer-based
lectures augmented with major animation and CD-ROM projects. Prerequisite: Computer
Science 11. Fall. Panetta
121 Engineering Challenges in Physiology I. (Cross-listed as Biomedical Engineering 121 and Engineering Science 121.) Course work designed for students interested in advanced biomedical engineering. This first course contains modules that cover the central nervous system, muscles/bone, lungs, and heart. The course emphasizes vital biological signals, their measurement, and the required instrumentation with examples drawn from current joint research efforts between the engineering faculty and the professional schools. Course is team-taught and involves a semester-long project. Prerequisites: Electrical Engineering/Engineering Science 50/150, Engineering Science 12/112, Biology 1/Engineering Science 11 or equivalent, and engineering senior standing, or consent. Vo
122 Engineering Challenges in Physiology II. (Cross-listed as Biomedical Engineering 122 and Engineering Science 122.) Course work designed for students interested in advanced biomedical engineering. This second course covers the endocrine and sensory systems, and the digestive system including dentistry. The course emphasizes vital biological signals, their measurement, and the required instrumentation with examples drawn from current joint research efforts between the engineering faculty and the professional schools. Course is team-taught and involves a semester-long project. Prerequisites: Electrical Engineering/Engineering Science 50/150, Biology 1/Engineering Science 11 or equivalent, and engineering senior standing, or consent. Vo
123 Custom VLSI Design. The VLSI design concept; elements of device design, logic design, memory design, interconnect management problems. Design and performance of simple gate functions. MOS circuit and cell design for VLSI. Introduction to network synthesis, data flow, chip partitioning, layout effects, timing, design automation and loading. Device and logic simulation tools. Gate arrays and the standard cell. Prerequisites: Engineering Science 4, Electrical Engineering 11 and 18. Lewis
124 Advanced Custom VLSI Design. Review of state-of-the-art technologies (with special emphasis on MOS). Related IC processes and layout rules. Custom VLSI digital system design concepts. On-chip loading effects, data flow, partitioning, timing, and design automation. New chip architecture concepts. CAD tools. A comprehensive term project involving design, simulation, and physical layout of a MOS-based VLSI function using 2mm design parameters. Associated VLSI CAD laboratory. Prerequisites: Electrical Engineering 123 (Electrical Engineering 113 helpful) or consent. Spring. Lewis
125 Digital Signal Processing. Discrete signals and systems, digital simulation of analog systems. Z transforms, recursion equations, finite-order systems. Fourier transforms, line spectra and Fourier series, discrete Fourier series and Fast Fourier Transforms (FFT). Sampling and interpolation, mean-square approximations. Nonrecursive and recursive filters. Selected topics on algorithms, design and applications of digital signal processing. Prerequisite: Electrical Engineering 107. Fall. Preis
126 Computer Engineering. Topics covered include computer abstractions, performance measurements, instruction set architectures, designing processor datapath and control, pipelining, memory hierarchy, I/O, multiprocessors. The associated lab consists of designing, implementing, and validating a simplified MIOS processor using Verilog, a hardware description language. Prerequisite: Electrical Engineering 14. Fall. Members of the department
128 Operating Systems. Introduction to concurrent processes, concurrent programming, mutual exclusion, and synchronization. Introduction to the logical structure of operating systems, memory and file management, deadlock avoidance. System components, including schedulers, assemblers, linkers, and loaders. Management of software in engineering workstation environments. Ethernet and networking concepts. UNIX will be used to explore concepts. Substantial programming. Prerequisites: Computer Science 15 and Electrical Engineering 14. Spring. Members of the department
129 Computer Communication Networks. Data communications concepts. Communications networking techniques: switching and broadcast networks, access protocols, local networks. Design issues, overview of current products. Computer communications architecture: hardware/software issues, protocols and architecture, layered approach and hierarchical approach. Prerequisite: senior or graduate electrical engineering degree candidate, or consent. Spring. Chang
131 Principles of Medical Imaging. (Cross-listed as Biology 131 and Biomedical Engineering 131.) This interdisciplinary course presents the principles of medical imaging techniques such as diagnostic ultrasound, radiography, X-ray computed tomography (CT), and magnetic resonance imaging (MRI). For each imaging modality, topics include the physical principles, key aspects of instrumentation design, mathematical methods, and the anatomical/physiological information content of the images. Representative medical images will be discussed and interpreted. This course cannot be taken for basic science requirement for engineering students. Prerequisites: Mathematics 11, Physics 2 or 12, or consent. Fantini
133 Digital Image Processing. Fundamentals and some practical applications of digital image processing. Topics include image formation, sampling, and quantization; distortions due to lens aberrations, image motion and detector noise; image enhancement and restoration by spatial filtering and maximum entropy; image coding for bandwidth compression by DPCM, transform coding, and entropy coding; and image understanding. Prerequisite: Electrical Engineering 102 or consent. Fall. Gonsalves
135 Advanced Electromagnetics. Stationary electric and magnetic fields. Differential and integral forms of Maxwell's equations. Time-harmonic fields and potential functions. Electromagnetics of circuits. Transmission line transients and coupling. Plane wave propagation. Guided wave propagation. Electromagnetic radiation. Electromagnetic properties of materials. Practical applications. Prerequisite: Electrical Engineering 18 or equivalent. Fall. Preis
136 Antennas for Radar, Avionics, and Communications. Definition of fields, radiation patterns, sources, linearity, and superposition. Antennae parameters: gain, effective aperture, beamwidth, sidelobes, impedance, polarization, and bandwidth. Radiation: electric dipole, multiple sources. Transmission lines and waveguides. Radiation from discontinuities, slots, and horns. Techniques of antenna measurements. Theory of antenna arrays. Prerequisite: senior or graduate standing in electrical engineering or physics. Spring. Members of the department
137 Radar Engineering. Physical principles and basic equations. Pulsed, continuous-wave, and pulsed-Doppler radars. Antenna systems; transmitters; detection theory. Waveform considerations, including pulse compression. Principles of synthetic aperture radar. Miscellaneous topics: propagation, clutter, and airborne radar. Prerequisite: Electrical Engineering 18 or equivalent. Fall. Members of the department
145 Advanced Digital Signal Processing. Discrete time signals in time and frequency domains. Advanced topics in digital processing of continuous-time signals. Digital filter structures, design, implementation, finite wordlength effects. Multirate signal processing. Applications. Associated laboratory work. Prerequisites: Electrical Engineering 125 or consent. Preis
146 Principles of Communication Satellites. Overview of the design principles and applications of communication satellites. The role of satellites in communication systems. Design principles for satellite applications. Applications including global wireless communications and services, geopositioning, remote sensing, and weather monitoring. Prerequisite: Electrical Engineering 107 or consent. Kocharyan
147 Analog and Mixed Signal MOS Integrated Circuit Design. Practical and theoretical aspects of analog and mixed-signal MOS IC design. Basic building blocks including current sources, gain stages, and two-stage opamps. Opamp circuit feedback and noise modeling. Switched capacitor (SC) circuits from Z-transform, sample hold circuit, SC filters, and SC gain circuit. Noise and nonlinear effects in SC circuits. Component matching, layout of analog building blocks. Fundamentals of data converters. Prerequisites: Electrical Engineering 11 and 102. Sonkusale
148 Silicon Radio Frequency IC Design. An overview of Silicon Germanium BICMOS semiconductor process (SiGe) and technology. Bipolar and CMOS transistor models, resistor, capacitor and inductor models, process variation of devices, corner, statistical simulation techniques for the process, voltage and temperature variation, and device matching. Voltage gain, power gain and their conversions. Class A and B amplifiers, output power compression, and inter-modulation and IP3 from two tone analyses. Noise classification of bipolar transistor, noise figure definition and analysis. S-parameters and smith-charts. Applications including low-noise, cascade, differential, and various-gain amplifiers, as well as practical bias circuits for current and voltage reference (band-gap voltage). Associated laboratories utilizing Electronic Design Automation (EDA) tools. Prerequisites: Electrical Engineering 11 and 12. Afsar
150 Introduction to Biomedical Engineering. (Cross-listed as Biomedical Engineering 150 and Engineering Science 150.) See Electrical Engineering 50 for course description. An individual project is required. Prerequisite: consent. Fall. Vo
151 Optical Materials Laboratory. The major objective of this course is to develop a variety of skills by gaining experience in designing, fabricating, characterizing, and analyzing thin film and crystalline optical materials and devices. This involves laboratory projects related to interference filters, transparent conducting films, X-ray diffraction, spectrophotometry, photovoltaic cells, and electro-optic modulators. One credit. Prerequisite: Electrical Engineering 109 or consent. Goldner and visiting professors
153 Optical Electronics Laboratory. The major objective of this course is to develop a variety of skills by gaining experience in designing, fabricating, characterizing, and analyzing optical electronics devices and systems. This involves laboratory projects related to interferometry, Fabry-Perot cavity modes, fluorescence, YAG lasers, semiconductor lasers, optical detection. One credit. Prerequisite: Electrical Engineering 109 or consent. Members of the department
155 Fiber Optics Laboratory. The major objective of this course is to develop a variety of skills by gaining experience in designing, fabricating, characterizing, and analyzing fiber-optic waveguides and devices. This involves laboratory projects related to fiber drawing, attenuation and cutoff, coupling (numerical aperture, refractive index profiling), modes of a fiber, erbium-doped fiber amplifier, and a sensors design. One credit. Prerequisite: Electrical Engineering 109 or consent. Visiting professors and members of the department
160 Computer-Aided Design of Microwave Circuits. Microwave network representation, scattering matrix, constant gain circles, stability and gain concepts, microwave amplifier design. Modeling of circuit elements: coaxial lines, striplines, microstriplines, coplanar lines, coupled lines, lumped elements. Sensitivities and measurement techniques. Constant noise circles and low-noise broad-band amplifier design. Microwave circuit analysis and gradient techniques, multiband and multimode optimization of filters, phase shifters, and switches. Extensive laboratory and project work using state-of-the-art CAD software. Prerequisite: Electrical Engineering 117. Afsar
161 Microwave Integrated Circuits. Review of CAD techniques for microwave circuits. Substrate, conductor, dielectric, and resistive film materials for integrated circuits. Mask layout, mask layout tools, and mask fabrication. Hybrid microwave integrated circuits, monolithic integrated circuits, foundry requirements, hybrid versus monolithic circuits, performance and testing. Extensive laboratory work. Prerequisite: Electrical Engineering 160. Fall. Afsar
191, 192 Electrical Engineering Seminar. A course devoted to the study of special problems in electrical engineering. Prerequisite: open only to advanced students by consent. Credit as arranged. Members of the department
193, 194 Special Topics. Guided independent study of an approved topic at an intermediate level. Prerequisite: consent. Credit as arranged. Members of the department
199 Graduate Internship in Electrical Engineering. Supervised internships at suitable locations in industry and government. Jobs offered on basis of availability. Term paper required. Credit not given retroactively. Prior arrangements necessary. Prerequisite: consent. Members of the department
202 Digital Systems Design for Testability. Fault modeling and simulation using VHDL. Test generation algorithms for combinational and sequential circuits. Testability techniques including ad hoc methods, scan design, and built-in self-test. Logic synthesis and testability, testability analysis and random pattern testability. Linear feedback shift registers, error-detecting codes, and self-checking codes. Requires a major design project and applications for industrial partners. Prerequisite: Electrical Engineering 26. Spring. Panetta
215 Computer Architecture and Organization. ALU functions: hardware and software approaches. Control structures: hard-wire control, microprogramming, and ASM (Algorithmic State Machine). Advanced memory concepts: virtual memory, cache memory, and content-addressable memory. Introduction to evolution of computer architectures, including pipelining, multiprocessing, and bit-slice architecture. Prerequisites: Computer Science 11 and Electrical Engineering 26. Fall. Chang
216 Advanced Topics in Computer Architecture. Introduction to parallel processing. Design of pipeline processors, array processors, and multiprocessors. Interconnection network analysis and design. Parallel processing algorithms and parallel programming languages. Prerequisite: Electrical Engineering 215. Spring. Chang
227 Information Theory. Characterization of stochastic signals and description of communication channels, measures of information of signals, fundamental coding theorems and the generation of efficient codes, measures of channel capacity, transmission through noise-free and noisy channels, coding for error detection and correction. Applications of information theory to spectral estimation, image processing, and spread spectrum systems. Analysis and comparisons of digital communications systems. Prerequisite: Electrical Engineering 108 or consent. Fall. Noonan
229 Detection and Estimation Theory. A systematic development of optimal detection and estimation theory, including Bayesian, Maximum Likelihood (MLE), Maximum Aposteriori (MAP), and minimum mean squared error (MMSE) techniques. The Karhunen-Loeue expansion for non-white noise is studied. Applications to digital and analog communications, and radar problems are included. Nonparametric approaches, spectral estimation, and spread spectrum systems are examined. Prerequisite: Electrical Engineering 108 or equivalent. Noonan
291, 292 Graduate Seminar. Presentation of individual reports on basic topics to a seminar group for discussion and criticism. Credit as arranged. Members of the department
293, 294 Special Topics/Master's Project. Guided individual study of an approved topic suitable for a master's design project. Credit as arranged. Members of the department
295, 296 Master's Thesis. Guided research on a topic that has been approved as a suitable subject for a master's thesis. Credit as arranged. Members of the department
297, 298 Graduate Research. Guided research on a topic suitable for a doctoral dissertation. Credit as arranged. Members of the department
401PT Master's Continuation, Part-time.
402FT Master's Continuation, Full-time.
501PT Doctoral Continuation, Part-time.
502FT Doctoral Continuation, Full-time.