| 520.137 |
Introduction
to Electrical and Computer Engineering
(E,Q) |
|
homepage
|
An
introductory course covering the principles of electrical engineering
including sinusoidal wave forms, electrical measurements, digital
circuits, and applications of electrical and computer engineering.
Laboratory exercises, the use of computers, and a design project are
included in the course. Open to freshman Engineering majors and any Arts
and Sciences majors. Iglesias
/ 3 credits / fall |
| 520.142 |
Digital
System Fundamentals (E,Q) |
|
homepage
|
Number
systems and computer codes, switching functions, minimization of switching
functions, Quine-McCluskey method, sequential logic, state tables, memory
devices, analysis and synthesis of synchronous sequential devices.
Meyer / 3 credits / spring |
| 520.213 |
Circuits
(E,Q) |
| |
An introductory
course on electric circuits covers analysis techniques in time and
frequency domains, transient and steady state response, and operational
amplifiers. Prerequisites: Differential and Integral Calculus 110.108-109. Weinert / 4 credits / fall,
summer |
| 520.214 |
Signals
and Systems (E,Q) |
|
homepage
|
An
introduction to discrete-time and continuous-time signals and systems
covers representation of signals and linear time-invariant systems and Fourier
analysis. Prerequisites: Calculus III 110.202 and Circuits 520.213.
Rugh / 4 credits / spring Weinert/4 credits /
summer |
| 520.216 |
Introduction
to VLSI |
|
|
This course teaches the basics of
switch-level digital CMOS VLSI design. This includes creating
digital gates using MOS transistors as switches, laying out a design using CAD tools, and checking the design for conformance to the
Scalable CMOS design rules. Prerequisite: 520.142. Recommended: 520.213.
Pouliquen / 3 credits / spring |
| 520.219-220 |
Fields,
Matter, and Waves (E) |
| |
Vector
analysis, electrostatic fields in vacuum and material media, stationary
currents in conducting media, magnetostatic fields in vacuum and material
media. Maxwell's equations and time-dependent electric and magnetic
fields, electromagnetic waves and radiation, transmission lines, wave
guides, applications. Prerequisites: 110.108-109, 171.101-102.
Co-requisite:
110.202. Joseph / 3 credits |
| 520.345 |
Electrical and
Computer Engineering Laboratory |
| |
This
course consists of 11 one-week laboratory experiments intended to provide
an introduction to analog and digital circuits commonly used in
engineering. Topics include phase and frequency response, transistors,
operational amplifiers, filters, and other analog circuits. The
experiments are done using computer controlled digital oscilloscopes,
function generators, and power supplies. Prerequisites: 171.101-102,
520.213. Kang
/ 3 credits / fall |
| 520.349 |
Microprocessor
Laboratory |
| |
This
course introduces the student to the programming of computers at the
machine level. General concepts relevant to microcontrollers are
presented, including memory access, numerical representations, programming
models, and coding techniques. Prerequisites: 520.142 or equivalent and
programming competence in a high-level language such as BASIC or PASCAL.
Glaser / 3 credits / fall |
| 520.353 |
Control
Systems (E,Q) |
|
homepage
|
Modeling,
analysis, and an introduction to design for feedback control systems.
Topics include state equation and transfer function representations,
stability, performance measures, root locus methods, and frequency
response methods (Nyquist, Bode). Prerequisites: 520.214, and 110.201 or
550.291. Rugh / 3 credits /
fall |
| 520.372 |
Programmable
Device Laboratory |
| |
The
use of programmable memories (ROMs, EPROMs, and EEPROMs) as circuit
elements (as opposed to storage of computer instructions) is covered,
along with programmable logic devices (PALs and GALs). These parts permit
condensing dozens of standard logic packages (TTL logic) into one or more
off-the-shelf components. Students design and build circuits using these
devices with the assistance of CAD software. Topics include programming
EEPROMs; using PLDs as address decoders; synchronous sequential logic
synthesis for PLDs; and PLD-based state machines. Prerequisites: 520.142
and 520.345. Glaser / 3
credits / spring |
| 520.401 |
Basic
Communication (E) |
| |
This course covers the principles of modern analog and digital communication
systems. Topics include: amplitude modulation formats (DSB, SSC VSB), exponential modulation formats( PM, FM) , superheterodyne receivers, digital
representation of analog signals, sampling theorem, pulse code modulation formats
(PCM, DPCM, DM, spread-spectrum), signals with additive Gaussian noise, maximum likelihood receiver design, matched filtering, and bit error
rate analyses of digital communication systems. Prerequisite: 520.214
Davidson / 3 credits |
| 520.407 |
Introduction
to the Physics of Electronic Devices
(E) |
| |
This
course is designed to develop and enhance the understanding of the basic
physical processes taking place in the electronic and optical devices and
to prepare students for taking classes in semiconductor devices and
circuits, optics, lasers, and microwaves devices, as well as graduate
courses. Both classical and quantum approaches are used. Specific topics
include theory of molecular bonding; basics of solid state theory;
mechanical, transport, magnetic, and optical properties of the metals;
semiconductors; and dielectrics. Prerequisites: 171.101-102, 520.219.
Khurgin / 3 credits / fall |
| 520.410 |
Fiber Optics
and Devices (E) |
| |
This
course covers light propagation in fiber optic light guides, integrated
optic wave guides, photodetectors, and the photon nature of light. Topics
include light propagation in step-index and graded-index optical fibers,
dielectric slab waveguides, photodetectors, photon shot noise, and
photodetector signal-to-noise ratios. Prerequisites: 520.214, 520.219-220 or
equivalent.33
Kang / 3 credits / spring |
| 520.413 |
Introduction
to Photonics (E) |
| |
This course is an introduction level course for the students interested in opto-electronics. It covers the basics behind the optical devices used in communication, information storage and display. The course begins with the in-depth review of principles of Geometrical Optics and Imaging including the cameras, microscopes and telescopes. The physical optical phenomena of interference, diffraction and polarization of light are then studied as well as the theory of the light propagation in optical waveguides. Based on this background various devices for modulation, switching, scanning and demultiplexing of light are then described.
Prerequisites:
520.219-220 or equivalent. Khurgin
/ 3 credits |
| 520.414 |
Image
Processing and Analysis I (E) |
| |
The
course covers fundamental methods for the processing and analysis of
images and describes standard and modern techniques for the understanding
of images by humans and computers. Topics include elements of visual
perception, sampling and quantization, image transforms, image
enhancement, color image processing, image restoration, image
segmentation, and multiresolution image representation. Laboratory
exercises demonstrate key aspects of the course. Prerequisite: 520.214.
Goutsias / 3 credits / fall |
| 520.415 |
Image
Processing and Analysis II (E) |
| |
This
course is a continuation of 520.414. It covers fundamental methods for the
processing and analysis of images and describes standard and modern
techniques for the understanding of images by morphological image
processing and analysis, image representation and description, image
recognition and interpretation. Laboratory exercises demonstrate key
aspects of the course. Prerequisite: 520.414.
Goutsias / 3 credits / spring |
| 520.419 |
Theory and
Design of Iterative Algorithms |
|
homepage
|
An
introduction to the study of the structure, behavior and design of
iterative algorithms. Topics include problem formulations, algorithm
description and classification, the deterministic iterative (DI) schema,
doubling schema, cluster point sets, periodic points, DI schemas without
stop rule, the monotonic DI schema, contractive and affine maps, bounded
and Cauchy sequences,
asymptotically regular sequences, monotonic sequences. Prerequisites:
110.201, 110.202. Meyer / 3
credits |
| 520.422 |
Computer
Architecture |
|
homepage
|
A
study of the structure and organization of classical von Neuman
uniprocessor computers. Topics include a brief history of modern machines
starting from the Turing computer model, instruction sets, addressing,
RISC versus CICS, traps and interrupt handling, twos complement
arithmetic, adders and ALUs, CSA's Booth's algorithm, multiplication and
division, control unit design, microprogramming, dynamic versus static
linking, memory systems and memory hierarchy, paging segmentation, cache
hardware, cache organizations, and replacement policies.
Prerequisite: 520.213.
Jenkins / 3 credits / fall. |
| 520.424 |
FPGA
Synthesis Laboratory (E,Q) |
| |
An advanced laboratory course in the application of FPGA technology to
information processing, using VHDL synthesis methods for hardware development.
The student will use commercial CAD software for VHDL simulation and synthesis,
and implement their systems in programmable XILINX 20,000 gate FPGA devices.
The lab will consist of a series of digital projects demonstrating VHDL design
and synthesis methodology, building up to final projects at least the size of an
8-bit RISC computer. Projects will encompass such things as system clocking,
flip-flop registers, state-machine control, and arithmetic. The students will
learn VHDL methods as they proceed through the lab projects, and prior experience with VHDL is not a pre-requisite. Pre-requisites: 520.142, 520.345,
520.349 or 520.372, 600.333-334 or 520.422 or equivalent advanced competence
in computer systems. Jenkins / 3 credits / fall. |
| 520.425 |
FPGA
Projects Laboratory (E) |
| |
Laboratory
course for FPGA based senior projects. Students
will work in teams to complete a design project that makes use of embedded
FPGAs. The projects will make use of the Spartan2 XSA boards and
other resources from the FPGA Synthesis lab course. Possible projects
include: A 16 or 32 bit RISC processor with student designed ISA
architecture, assembler, and mini operating system; or a Spartan2
emulation of an existing microprocessor such as an 8051, an optical
communication system to transmit stereo music using various modulation
schemes for comparison (This would include FM or AM and at least one
digital scheme such as FSK,); or a digital receiver for commercial AM or
FM radio. Students are expected to complete a demonstration and
produce a poster session final report. Prerequisites
- 520.424 and senior status, no exceptions. Jenkins / 3 credits /
spring. |
| 520.426 |
Parallel
Processing Systems (E,N) |
|
homepage
|
An
introduction to parallel hardware/software computing structures. Pipelining and vector machines, structures and algorithms
for array processors, multiprocessor architectures and control, dataflow
machines and VLSI parallel computing structures.
Jenkins / 3 credits / spring. |
| 520.428 |
Introduction
to Algorithms for Parallel Computers
(E,Q) |
|
homepage
|
An
introduction to the design and analysis of algorithms for implementation
on advanced multiple computer architectures.
Efficient techniques for vector, shared memory, and distributed
memory machines. Classical
parallel algorithms studied include parallel prefix, sorting and message
routing on specific architectures using MPI.
Numerical linear algebra primitives: solution of structured linear
systems, including bidiagonal, tridiagonal, triangular systems; LU, QR,
FFT factorizations. Algorithm/architecture
mappings and tradeoffs. Prerequisites:
basic computer architecture and a course in computer programming.
Podrazik / 3 credits / fall |
| 520.429 |
Principles
of Parallel Programming (E,Q) |
|
homepage
|
Programming models and languages for current computing platforms.
Computational models include shared and distributed memory multiprocessors. Essential techniques of message-passing parallel
programming will be based upon MPI (Message Passing Interface); shared memory programming will use the OpenMP standard. Other
parallel language extensions will be studied, including Split-C and
UPC (unified parallel C). Programming projects will be given for the IBM SP parallel computer and other available departmental
multicomputers. Prerequisite: 520.428 Introduction to Algorithms for Parallel Computers and proficiency in programming in the C language.
Podrazik / 3 credits / spring |
| 520.430 |
Parallel Optimization |
| homepage |
Optimization
problems and their analysis including primal and dual formulations.
Optimality conditions and their relationship to algorithm
synthesis. Survey of both
unconstrained and constrained optimization algorithms in the context of
developing algorithms suitable for implementation on parallel computers.
Unconstrained techniques include gradient descent,
conjugate-gradient, Quasi-Newton and Newton's Method, their parallel
implementations and algorithm variants.
A survey of parallel algorithms for constrained optimization will
be presented, including feasible set, projection and interior point
methods. Various applications
will be studied throughout the class to supplement the theory.
Prerequisite: A course
in advanced calculus and a course in linear algebra (a previous course in
optimization or parallel processing is not required). Podrazik / 3 credits /
fall |
| 520.432 |
Medical
Imaging Systems (E) |
|
homepage
|
An
introduction to the physics, instrumentation, and signal processing
methods used in general radiography, X-ray computed tomography, ultrasound
imaging, magnetic resonance imaging, and nuclear medicine. The primary
focus is on the methods required to reconstruct images within each
modality, with attention also given to the resulting resolution, contrast,
and signal-to-noise ratio of images. Prerequisite: 520.214.
Co-listed as 580.472. Prince
/ 3 credits /spring |
| 520.435 |
Digital Signal
Processing (E) |
| |
Methods
for processing discrete-time signals. Topics include signal and system
representations, z- transforms, sampling, discrete Fourier transforms,
fast Fourier transforms, digital filters. Prerequisite: 520.214.
Weinert / 4 credits |
| 520.443 |
Digital Multimedia Coding and
Processing |
|
An
introduction to the coding and processing of digital multimedia. The
course covers current popular techniques for processing, storage, and
delivery of media such as speech, audio, images and video. The emphasis
will be on the theoretical basis as well as efficient implementations.
Topics include transform and subband coding, motion estimation and
compensation, international compression standards (AC3, JPEG, MPEG, H.263,
HDTV), and emerging techniques. Prerequisites: 520.435, C/C++ programming
and Matlab are required. Tran / 3 credits
|
| 520.447 |
Introduction
to Information Theory and Coding |
| |
This course will address some basic scientific questions about systems
that store or communicate information. Mathematical models will be developed for
(1) the process of error-free data compression leading to
the notion of entropy, (2) data (e.g. image) compression with slightly degraded reproduction leading to rate-distortion theory and
(3)
error-free communication of information over noisy channels leading to the
notion of channel capacity. It will be shown how these quantitative measures of information have fundamental connections with statistical
physics (thermodynamics), computer science (string complexity), economics (optimal portfolios), probability theory (large deviations) and statistics
(Fisher information, hypothesis testing). Prerequisite: 550.310. Khudanpur / 3 Credits
/ fall. |
| 520.448 |
Electronics
Design Laboratory |
| homepage |
An
advanced laboratory course in which teams of students design, build, test
and document application specific information processing microsystems.
Semester long projects range from sensors/actuators, mixed signal
electronics, embedded microcomputers, algorithms and robotics systems
design. Demonstration and
documentation of projects are important aspects of the evaluation process.
Prerequisites: 520.216, 520.345 or equivalent.
Recommended: 600.333,
600.334, 520.349, 520.372, 520.490 or 520.491.
Staff / 3 credits / spring |
| 520.450 |
Advanced
Microprocessor Laboratory |
| |
The
course covers the interfacing of microprocessors to memory and
peripherals. Topics include input/ output ports, timer operations,
interrupt handling, serial communication, digital to analog and analog to
digital conversions, and EEPROM programming. Student work is primarily
software with some hardware hookup. Prerequisites: 520.349 or programming
competence in 8080 or Z-80 assembly language and an understanding of logic
gates. Glaser / 3 credits /
spring |
| 520.454 |
Control
Systems Design (E,Q) |
| homepage |
Classical
and modern control systems design methods. Topics include formulation of
design specifications, classical design of compensators, state variable
and observer based feedback. Computers are used extensively for design,
and laboratory experiments are included. Prerequisites: 520.353, 110.201.
Iglesias / 3 credits / spring |
| 520.457 |
Basic Quantum
Mechanics for Engineers (E) |
| |
Basic
principles of quantum mechanics for engineers. Topics include the quantum
theory of simple systems, in particular atoms and engineered quantum
wells, the interaction of radiation and atomic systems, and examples of
application of the quantum theory to lasers and solid-state devices.
Prerequisites: 171.101-102, 520.219-220. Kaplan / 3 credits / fall |
| 520.460 |
Introduction
to Error Control Coding (E,Q) |
| homepage |
Designs of error control codes and their decoders for digital communication systems are presented in an algebraic framework. Rate, minimum distance, and error correction and detection capabilities of linear block codes are presented. Generator and parity check matrices are introduced and decoders are developed. Families of cyclic codes are presented, including BCH and Reed-Solomon codes and their decoders. Performance analyses of error control codes demonstrate the contribution of coding to communications and provided bases upon which to compare codes. Prerequisites:
Probability and Statistics 550.310 and competence in linear algebra. Cooper / 3 credits / fall |
| 520.465 |
Digital Communications |
| |
This
course introduces the basic tools and topics of modern digital
communication beginning with the mathematical representation and spectral
properties of random signals and a basic introduction to the detection of
real and complex signals in the presence of noise. Memoryless
modulation and demodulation schemes are thoroughly studied for the
Gaussian channel, and measures of performance are developed. Topics
in wireless communication will be introduced. 3 credits.
Prerequisites: 520.401, 550.310 or 550.420. Cooper / 3 credits
/ spring |
| 520.473 |
Magnetic
Resonance in Medicine (E,N) |
| |
The
course is an introduction to the field of magnetic resonance imaging. All
of the basic principles of magnetic resonance imaging that are
necessary to understand current literature are covered. Topics include:
Bloch equations, imaging principles, excitation, image contrast mechanisms
and instrumentation. Prerequisites: 520.214 or 580.222.
Co-listed with 580.473. Atalar / 3 credits |
| 520.481 |
Microwaves and
High Speed Circuits (E) |
| |
Propagation
of waves in transmission lines with emphasis on microstrip circuits.
Design and analysis of couplers, matching circuits, amplifiers,
filters,oscillators and high speed digital circuits.
Extensive use is made of CAD tools. Prerequisites: 520.219-220.
Staff / 3 credits / spring |
| 520.482 |
Introduction
to Lasers (E) |
| |
This
course covers the basic principles of laser oscillation. Specific topics
include propagation of rays and Gaussian beams in lenslike media, optical
resonators, spontaneous and stimulated emission, interaction of optical
radiation and atomic systems, conditions for laser oscillation,
homogeneous and inhomogeneous broadening, gas lasers, solid state lasers,
Q-switching and mode locking of lasers. Prerequisites: 520.219-220, or
equivalent. Staff / 3 credits |
| 520.484 |
Optoelectronics
Lab (E) |
| |
This
laboratory course involves designing and building optoelectronic circuits.
Namely, laser diode drivers (CW and pulsed), oscillators, low-noise
amplifier circuits, photodetector biasing circuits and active filters will
be designed, built and tested. Prerequisites: 520.345 and
permission of instructor. Kang / 3 credits |
| 520.485 |
Semiconductor
Devices for Optoelectronics (E) |
| |
This course is designed to develop and enhance the understanding of the operating principles and performance characteristics of the modern semiconductor devices used in high speed optical communications, optical storage and information display.
The emphasis is on device physics and fabrication technology. The devices include heterojunction bipolar transistors, high mobility FET's, semiconductor lasers, laser amplifiers, light-emitting diodes,
detectors, solar cells and others.
Khurgin / 3 credits. |
| 520.487 |
Introduction to
Microelectromechanical Systems (MEMS) (E,N) |
| homepage |
A
first course on the principles and engineering of microelectromechanical
systems. An introduction to materials and basic devices with examples of
applications for sensing and actuation. Lectures will be complemented with
a set of laboratory experiments. Co-listed
as 530.487. Prerequisite: Senior
or graduate standing or permission of instructor.
Andreou, Hemker, Sharpe / 3 credits. |
| 520.490 |
Analog and
Digital VLSI Systems and Architecture
(E) |
|
homepage
|
Silicon
models of information and signal processing functions, with implementation
in analog and digital CMOS integrated circuits. Aspects of structured
design, scalability, parallelism, low-power consumption, and robustness to
process variations. Topices include digital-to-analog and
analog-to-digital conversion, delta-sigma modulation, vector quantization,
and adaptive neural computation. The course includes a VLSI design
project. Prerequisites: 520.216 and 520.345. Cauwenberghs
/ 3 credits / fall |
| 520.491 |
CAD of
Digital VLSI Systems |
|
homepage
|
An
introductory course in which students, manually and through computer
simulations, design digital CMOS integrated circuits and systems. The
design flow covers transistor, physical, and behavioral level
descriptions, using SPICE, Layout, and VerilogHD1 VLSI CAD tools. After
design computer verification, students can fabricate and test their
semester-long class projects. Prerequisites: 520.142, 520.216, or
equivalent. Recommended: 600.333, 600.334, 520.349 or 520.372.
Etienne-Cummings / 3 credits / fall |
|
520.493
|
Analog Integrated Circuits |
|
|
The
course will cover the basics of the theory and the design of wireless
telecommunication circuits. Circuit blocks such as Oscillators, Phase
Locked Loops, Mixers, Filters, R.F. and broadband Amplifiers, Modulators
and Demodulators as well as bias and support circuits such as Band-gap
voltage references will also be discussed. The emphasis will be on bipolar
transistor circuit design. The course will have weekly lectures, design
and simulation assignments using CAD tools and a small number of
laboratory assignments. Prerequisites: 520.214 and 520.216.
Sotiriadis / 3 credits |
| 520.495 |
Microfabrication
Laboratory |
| homepage |
This laboratory course is an introduction to the principles of
microfabrication for microelectronics, sensors, MEMS, and other synthetic microsystems that have applications in medicine and biology.
Course comprises of laboratory work and accompanying lectures that cover silicon oxidation, aluminum evaporation, photoresist deposition,
photolithography, plating, etching, packaging, design and analysis CAD tools, and foundry services. Co-listed as
580.495 and 530.495. Andreou, Wang / 4 credits
/ fall |
| 520.498-499 |
Senior Design
Project (E) |
| |
Capstone design project, in which a team of students engineer a system and evaluate its performance in meeting design criteria and specifications. Example application areas are microelectronic information processing, image processing, speech recognition, control,
communications and biomedical instrumentation. The design needs to demonstrate creative thinking and experimental skills, and needs to draw upon knowledge in basic sciences, mathematics and engineering sciences. Interdisciplinary participation, such as by biomedical engineering, mechanical engineering and computer science majors, is strongly encouraged. Staff / 3 credits. |
| 520.501-502 |
Independent
Study - Fr/Soph (501-Fall, 502-Spring) |
| |
Individual,
guided study under the direction of a faculty member in the department.
The program of study or research, including the credit to be assigned,
must be worked out in advance between the student and the faculty member
involved. May be taken either term by freshmen or sophomores.
Staff / 1-3 credits |
| 520.503-504 |
Independent Study
- Jr/Sr (503-Fall, 504-Spring) |
| |
Individual
study, including participation in research, under the guidance of a
faculty member in the department. The program of study or research, time
required, and credit assigned must be worked out in advance between the
student and the faculty member involved. May be taken either term by
juniors or seniors. Staff /
1-3 credits |
| 520.505 |
Summer
Independent Research |
| |
Independent
study or research over the summer under the direction of a faculty member
in the department. The program of research, including the credit to be
assigned, must be worked out in advance between the student and the
faculty member involved. Staff
/ 1-3 credits |
| 520.545-546 |
Research
(545-Fall, 546-Spring) |
| |
Independent
study or research over the summer under the direction of a faculty member
in the department. The program of research, including the credit to be
assigned, must be worked out in advance between the student and the
faculty member involved. Staff
/ 1-3 credits |
| 520.550 |
ECE
Internships - Staff / 1-3 credits |
| 520.574 |
Research
(Intercession) |
| 520.576 |
Independent
Study (Intercession) |
| 520.590 |
Senior
Design Project (Summer) |
| 520.595 |
Independent
Study (Summer) |
| 520.596 |
Independent
Research |
| 520.597 |
Research
(Summer) |
| 520.599 |
ECE
Internships (Summer) |
