The number and title of each course is followed by the number of
semester hours it carries, the semester(s) during which it is taught
(F=fall, S=spring, U=summer), its prerequisites, its corequisites, and
any courses with which it is cross-listed.
Where a course has both a 5000- and 6000-level number, the 5000-level
version is intended for undergraduate and the 6000-level version for
graduate students. The two versions of the class will meet together,
but extra work will be expected of graduate students.
EE 1000 Introduction to Electrical and Computer Engineering (4, S) Prereq: Math 1210; Coreq: EE 1010, MATH 1220, PHYCS 2220.
The basics of analog and digital circuits as an introduction to
electrical and computer engineering. Concepts of voltage, current,
power, resistance, capacitance, binary numbers, digital coding, and
A/D interfacing. Circuit analysis techniques such as Kirchhoff's
Laws, branch currents, node voltages, and mesh currents. Thevenin's
and Norton's equivalent circuits. Device modeling of simple op amps,
diodes, transistors, logic gates, and flip-flops. Extensive use of
Matlab as an analysis and design aid.
CS 1010 Introduction to Unix (0.5, FSU)
An introduction to the Unix workstations used in the
College of Engineering CADE Lab. Topics include the X Windows system,
Unix shell commands, file system issues, text editing with Emacs,
accessing the World Wide Web with Netscape, and electronic mail.
Self-paced course using online teaching aids. (This course is half of
a semester in length, and is offered twice during the fall and spring
semesters and once during the summer.)
EE 1010 Introduction to Lab Instruments & Methods (0.5, S) Coreq: EE 1000.
Laboratory instruction on the proper use of electronic measuring
instruments, including function generators, voltmeters, and
oscilloscopes. Loading and frequency effects.
EE 2000 Fundamentals of Electric Circuits (4, F) Prereq: EE 1000, 1010, CS 2010, 2020 or ability to program in a
high-level language; PHYCS 2220; Coreq: MATH 2250.
Laboratory included. Fundamental electric-circuit techniques,
including Kirchhoff's laws, superposition, phasor transforms, power in
sinusoidal-steady systems, frequency response, filters, Fourier-series
methods, Laplace-transform techniques, transformers, and two-port
networks.
CS 2010 Introduction to Computer Science I (4, FS) Coreq: MATH 1210, CS 1010.
The first course required for students intending to major
in computer science. Introduction to the engineering and mathematical
skills required to effectively program computers, and to the range of
issues confronted by computer scientists. Roles of procedural and data
abstraction in decomposing programs into manageable pieces. Selected
topics from discrete math that underlie computer science. Extensive
programming exercises that involve the application of elementary
software engineering techniques.
CS 2020 Introduction to Computer Science II (4, FS) Prereq: CS 2010.
The second course required for students intending to major
in computer science. Introduction to the problem of engineering
computational efficiency into programs. Classical algorithms
(including sorting, searching, and graph traversal) and data structures
(including stacks, queues, linked lists, trees, hash tables, and
graphs). Analysis of program space and time requirements. Selected
topics from discrete math that underlie computer science. Extensive
programming exercises that require the application of elementary
techniques from software engineering. (Not offered Fall 1998.)
CS 2030 Introduction to Computer Science III (2, F) Prereq: CS 202.
Material from the new CS 2010-CS 2020 sequence that
could not be covered in the old CS 201-CS 202 sequence. This will
include some elementary concepts from discrete math, some of the more
advanced data structures and algorithms, and algorithm analysis.
(This course will be offered once during the fall semester of 1998,
and it will not be taught thereafter. It must be taken by all new
Computer Science and Computer Engineering majors at that time.)
EE 2100 Fundamentals of Engineering Electronics (4, S) Prereq: EE 2000, PHYCS 2220, MATH 2250..
Laboratory included. Fundamentals of electronic circuits and
components, network models of amplifiers, basic semiconductor device
physics, diodes, bipolar and MOS transistors, basic analog and digital
circuit elements, frequency response, feedback and stability.
Introduction to computer circuit simulation.
CS 3100 Models of Computation (3, S) Prereq: CS 2020.
Introduction to the mathematical underpinnings of computer
science. Methods for describing and reasoning about hardware and
software, including predicate logic, recursion, induction, and
combinatorics. Models of sequential computation, including
finite-state automata, push-down automata, and Turing machines. Models
of concurrent computation, including Petri nets and communicating
sequential processes.
EE 3110 Engineering Electronics II (4, F) Prereq: EE 2100.
Laboratory included. Analog and digital integrated circuit
techniques, filters and tuned amplifiers, signal generator, waveform
shaping circuits, power amplifier and power semiconductor devices,
computer models and computer simulations of complex devices and
circuits.
CS 3200 Scientific Computation (3, F) Prereq: CS 2020, MATH 2250.
Scientific computation relevant to computer science and
engineering; floating-point arithmetic, systems of linear equations
(direct and iterative techniques), nonlinear equations (univariate and
multivariate), interpolation and differentiation (divided differences),
integration (mechanical and Gaussian quadratures, optimal quadratures),
approximation by spline functions (natural splines and B- splines,
optimality of splines).
EE 3300 Fundamentals of Electromagnetics and Transmission Lines (4, F) Prereq: PHYCS 2220, MATH 2250.
Brief introduction to vector calculus, definition of electric and
magnetic fields. Maxwell's equations in integral and differential
forms, electromagnetic-wave propagation in free space and in material
regions, Poynting theorem, and electromagnetic power. Transmission
lines (transient and steady-state analysis), Smith chart, and
impedance matching techniques. Basic principles of radiation and
propagation in waveguides.
EE 3310 Engineering Electromagnetics and Applications (4, S) Prereq: EE 2000, 3300.
Wave reflection and transmission at plane boundaries, applications in
optics, propagation characteristics in waveguides and antenna theory
and design including wire and aperture antennas. Numerical techniques
including formulation of electromagnetics engineering problems in
terms of differential and integral equations and the solution of these
equations using the Finite Difference and Method of Moments,
respectively.
CS 3500 Software Practice (4, F) Prereq: CS 2020.
Practical exposure to the process of creating large
software systems, including requirements specifications, design,
implementation, testing, and maintenance. Emphasis on software
process, software tools (debuggers, profilers, source code
repositories, test harnesses), software engineering techniques (time
management, code and documentation standards, source code management,
object-oriented analysis and design), and team development practice.
Much of the work will be in groups and will involve modifying
preexisting software systems.
EE 3500 Fundamentals of Signals and Systems (4, F) Prereq: EE 2100, MATH 2210.
Transform domain analysis of passive circuits. Linear and time
invariant systems in continuous-time and discrete-time domains.
System representations using impulse response functions, frequency
responses and transfer functions. Realizations of linear
time-invariant systems. Fourier analysis of continuous and
discrete-time signals. Sampling theorem. Filter design from
specifications.
CS 3510 Algorithms and Data Structures (3, S) Prereq: CS 3500.
Study of algorithms, data structures, and complexity
analysis beyond the introductory treatment from CS 2020. Balanced
trees, heaps, hash tables, string matching, graph algorithms, external
sorting and searching. Dynamic programming, exhaustive search. Space
and time complexity, derivation and solution of recurrence relations,
complexity hierarchies, reducibility, NP completeness.
EE 3510 Introduction to Feedback Systems (4, S) Prereq: EE 3500.
Laboratory included. Analysis of systems using Laplace transforms;
transfer functions, stability, steady-state responses and transient
responses. Feedback control: PID and lead-lag controllers, design
using root-locus, and phase-locked loops. Frequency-domain design:
Bode plots, filter design, and Nyquist criterion.
CS 3520 Programming Language Concepts (3, F) Prereq: CS 3510.
Ideas behind the design and implementation of programming
languages. Syntactic description; scope and lifetime of variables;
runtime stack organization; parsing and abstract syntax; semantic
issues; type systems; programming paradigms; interpreters and
compilers. (Not offered Fall 1998.)
CS/EE 3700 Fundamentals of Digital System Design (4, S) Prereq: CS 2010, PHYCS 2220.
Techniques for minimizing logic functions and
designing common combinational circuits such as decoders, selectors,
and adders. Synchronous and asynchronous sequential circuits, state
diagrams, Mealy and Moore circuits, state minimization and assignment.
Use of software tools for design, minimization, simulation, and
schematic capture. Implementation with MSI, LSI, and field
programmable gate arrays. Laboratory included.
CS/EE 3710 Computer Design Laboratory (3, F) Prereq: CS/EE 3700, CS/EE 3810.
Student groups design, build, and test a programmable
device such as a computer or calculator. (Not offered Fall 1998.)
CS/EE 3720 Analog & Digital Interfacing with Microprocessors & Microcontrollers (4, S) Prereq: CS/EE 3700.
Fundamentals of digital-to-analog (D-to-A) and
analog-to-digital (A-to-D) circuits, relays, stepper motors, and
digital switches. Interfacing digital and analog circuits to
computers and micro-controllers. (Offered Fall 1998, Spring 2000, and
every spring semester thereafter. Laboratory included.)
CS/EE 3810 Computer Architecture (4, F) Prereq: CS 2020.
An in-depth study of computer architecture and design, from digital
logic to operating systems, including topics such as pipelining,
memory systems, parallel and serial communication, and interrupts.
Performance measures and compilation issues. Computer architectures
including RISC, CISC, stack, and parallel. Includes a two-hour
laboratory scheduled during the first week of class.
CS 4500 Software Engineering Laboratory (3, S) Prereq: CS 3500 or CS 4510, senior standing in CS.
Development of significant software systems by small
student groups, with emphasis on applying sound, disciplined software
engineering practice.
CS 4510 Software Engineering (3, F) Prereq: Senior standing in CS.
Fundamentals of software engineering, including requirements,
specifications, design, implementation, testing, and maintenance.
Emphasis includes: software process, software engineering techniques
(code and documentation standards, source code management,
object-oriented analysis and design), and team development practice.
(This course will be offered during Fall 1998 and Fall 1999 and will
then be discontinued. It is intended for students who completed the
CS 354-355-356 sequence under quarters; CS 3500 and CS 4510 may not
both be taken for credit.)
CS/EE 4710 Computer Engineering Senior Project (3, F) Prereq: CS/EE 3720.
Students design microcomputer system that includes RAM, EPROM, and
I/O devices. Capstone project for computer-engineering majors. Formal
written reports, one or more oral presentations. (Offered Spring
1999, Fall 2000, and every fall semester thereafter.)
CS 4950 Independent Study (Arr.)
CS 4999 Honors Thesis/Project (3) Prereq: Restricted to students in the Honors Program working on their Honors degree.
CS 5100/6100 Foundations of Computer Science (3, F) Prereq: CS 3100, CS 3510.
Advanced examination of fundamental ideas behind
algorithms, complexity analysis, mathematical logics, elementary
computability, and concurrency formalisms.
EE 5201 Semiconductor Device Physics I (2, F) Prereq: MSE 3210 or PHYCS 3740.
Physical principles that underlie operation of semiconductor
electronic devices with emphasis on silicon integrated circuits.
Physics of semiconductor materials, equilibrium in electronic systems,
metal semiconductor contacts, p-n junction theory, junction field
effect transistors, introduction to operation of bipolar transistors.
EE 5202 Semiconductor Device Physics II (2, S) Prereq: EE 5201.
Continuation of EE 5201. Bipolar transistors, silicon-silicon
dioxide system, insulated gate field effect transistors (IGFETs).
Mathematical models for computer simulation of bipolar and MOS
devices. Second order effects associated with very small geometry
devices, and other devices of current interest.
CS 5210/62120 Advanced Scientific Computing I (3) Prereq: CS 3200, CS 3510, MATH 3160.
An introduction to existing classical and modern numerical
methods and their algorithmic development and efficient implementation.
Topics include: numerical linear algebra, interpolation, approximation
methods and parallel computation methods for nonlinear equations,
ordinary differential equations, and partial differential equations.
(Offered every third semester, beginning in Fall 1998.)
EE 5211 Semiconductor Device Physics Laboratory I (1, F) Coreq: EE 5201.
Hands on experience in the fabrication of silicon devices. Use of
oxidation, donor and acceptor diffusion, and high resolution
photolithography in a clean room facility. Characterization of
silicon, measurement of basic parameters, oxide thickness, dopant
diffusion. Introduction to metalization and contacts.
EE 5212 Semiconductor Device Physics Laboratory II (1, S) Coreq: EE 5202.
Integrated knowledge of individual processing steps with more complex
processing equipment. Fabricate and characterize simple transistors
and integrated circuits.
EE 5221/6221 Fundamentals of Micromachining Processes (2, F) Prereq: Instructor's consent.
Introduction to the principles of micromachining technologies.
Topics include photolithography, silicon etching, micro molding, micro
electroforming, thin film sacrificial layer technologies, and
substrate bonding technologies. Laboratory included.
EE 5222/6222 Biomedical Applications of Micromachining (2, S) Prereq: EE 5221/6221.
Use of the technologies from the first course in the series (BIOEN
6421) to investigate biomedical applications of micromachining.
Course focuses on the design and development of micro sensor/actuator
systems; laboratory focus is on the fabrication and testing of
microscale sensor/actuator systems. Laboratory included.
CS 5300/6300 Artificial Intelligence (3, F) Prereq: CS 3510.
Introduction to field of artificial intelligence,
including heuristic programming, problem-solving, search, theorem
proving, question answering, machine learning, pattern recognition,
game playing, robotics, computer vision.
CS 5310/6310 Robotics (3, F) Prereq: CS 1000, MATH 2250. Crosslisted with ME 5220/6220.
The mechanics of robots, comprising kinematics, dynamics,
and trajectories. Planar, spherical, and spatial transformations and
displacements. Representing orientation: Euler angles, angle-axis, and
quaternions. Velocity and acceleration: the Jacobian and screw theory.
Inverse kinematics: solvability and singularities. Trajectory planning:
joint interpolation and Cartesian trajectories. Statics of
serial chain mechanisms. Inertial parameters, Newton-Euler equations,
D'Alembert's principle. Recursive forward and inverse dynamics.
CS 5320/6320 Computer Vision (3, S) Prereq: CS 3510, MATH 2210, MATH 2270.
Basic pattern-recognition and image-analysis techniques,
low-level representation, intrinsic images, ``shape from'' methods,
segmentation, texture and motion analysis, and representation of 2-D
and 3-D shape.
EE 5320 Microwave Engineering I (3, F) Prereq: EE 3300; EE 3310 recommended.
General theory of waveguides and transmission lines; TE, TM, TEM
modes; some commonly used waveguides and transmission lines including
microstripline and its variations for microwave integrated circuits;
matching techniques including conjugate matching; passive components,
scattering matrices and signal flow graphs; directional couplers and
hybrids; power dividers and combiners; signal flow graphs for
microwave amplifiers; microwave resonators and filters including
design considerations; Ferrite components. Course includes bi-weekly
laboratory assignments to design, fabricate and test microstrip
circuits using professional level computer software and network
analyzers. Demonstrations of waveguide components is also planned.
EE 5321 Microwave Engineering II (3, S) Prereq: EE 5320.
Nonlinear and active microwave devices including diodes, mixers,
transistors, and negative resistance devices; compressed Smith Chart;
balanced and double-balanced mixer design; transistor amplifier theory
and design for best gain, stability, and noise performance.
Oscillator theory and design using transistors, tunnel diodes,
IMPATTs, and Gunn diodes. PIN diode switching circuits and phase
shifters. Survey of design and performance of microwave systems and
auxiliary components; antennas, signal modulation and multiplexing,
transceiver and radar systems, signal-to-noise ratios, atmospheric
effects, microwave heating, biological effects and safety. Course
includes bi-weekly laboratory assignments using microstrip integrated
circuits with professional level design and test equipment.
Demonstrations of other active components such as traveling wave
tubes, klystrons, and backward oscillators are also provided.
EE 5324 Antenna Theory and Design (3, S) Prereq: EE 3310.
General theory of conduction current antennas; linear antennas
including dipoles and monopoles; antenna equivalent impedance; design
of AM, FM, TV and shortwave broadcast antennas of one or more elements
including ground and mutual impedance effects; matching techniques
including lumped, shunt and series elements, transmission lines and
conjugate matching; receiving antennas; antennas used for mobile
communication systems and their radiation characteristics; antenna
arrays and their design; wave propagation including propagation via
ionosphere or troposphere; loop antennas and Yagi-Uda arrays; antenna
synthesis for specified radiation patterns. UHF and microwave
antennas including corner reflector antennas, helical antennas, theory
of aperture antennas including rectangular and circular apertures;
broadband log-periodic antennas; microstrip antennas and phased arrays
including applications for wireless communication systems; slot
antennas, turnstile, horn and parabolic radiators; considerations for
radar antennas and communication links. Antenna ranges and
measurement techniques. Laboratory demonstrations of radiation
patterns of portable wireless antennas with and without the model of
the head.
EE 5330 Introduction to Microwave Tubes and Electron Devices (3, S) Prereq: EE 3310, 5320, MATH 3150.
Introduction to design, operation, and application of microwave and
millimeter-wave vacuum tubes; klystrons, traveling-wave tubes,
backward-wave oscillators, magnetrons, gyrotrons, free-electron
lasers.
CS 5340/6340 Natural Language Processing (3, S) Prereq: CS 3510.
Computational models and methods for understanding
written text. Introduction to syntactic analysis, semantic analysis,
discourse analysis, knowledge structures, and memory organization. A
variety of approaches are covered, including conceptual dependency
theory, connectionist methods, and statistical techniques.
Applications include story understanding, fact extraction, and
information retrieval.
CS 5350/6350 Machine Learning (3, F) Prereq: CS 3510.
Techniques for developing computer systems that can
acquire new knowledge automatically or adapt their behavior over time.
Topics include concept learning, decision trees, evaluation functions,
clustering methods, explanation-based learning, language learning,
cognitive learning architectures, connectionist methods, reinforcement
learning, genetic algorithms, hybrid methods, and discovery.
(Offered alternate years, beginning Fall 1999.)
EE 5410 Lasers and Their Applications (3, F) Prereq: EE 3310.
Physics and applications of lasers. All major laser types are
studied, including semiconductor, gas, dye and solid-state lasers.
Emphasis is placed on the properties of laser light and how they are
used in a myriad of applications. Hands-on laboratory experience is
included.
EE 5411 Fiberoptic Systems (3, S) Prereq: EE 5410.
Systematic study of modern optical-fiber communication systems;
Loss-limited systems vs. dispersion-limited systems; Point to point
links, broadcast and distribution systems, and optical networks;
Wavelength-division multiplexing (WDM); and sub-carrier multiplexing
(SCM); optical amplifiers and dispersion compensation; Emphasis is on
system design. Includes hands-on laboratory experience.
CS 5460/6460 Operating Systems (3, F) Prereq: CS 3510, CS/EE 3810.
Characteristics, objectives, and issues concerning
computer operating systems. Hardware/software interactions, process
management, memory management, protection, synchronization, resource
allocation, file systems, security, and distributed systems. Extensive
systems programming.
CS 5470/6470 Compiler Principles and Techniques (3, S) Prereq: CS 3510, CS/EE 3810, CS 3100.
Lexical analysis, top-down and bottom-up parsing, symbol
tables, internal forms and intermediate languages, runtime
environments, code generation, code optimization, semantic
specifications, error detection and recovery. Use of software tools
for lexical analysis and parsing.
EE 5470 Ultrasound (2, F) Prereq: PHYCS 2220.
Acoustic-wave propagation in biological materials with examples of
practical medical instrumentation resulting from ultrasound
interactions with biological structures. Includes one lab
experience.
CS 5480/6480 Data Communications and Networks (3, F) Prereq: CS 3510, CS/EE 3810.
A comprehensive study of the principles and practices of
data communication and networks. Topics include: transmission media,
data encoding, local and wide area networking architectures,
internetwork and transport protocols (e.g., IPv4, IPv6, TCP, UDP, RPC,
SMTP), networking infrastructure (e.g., routers, nameservers,
gateways), network management, distributed
applications, network security, and electronic commerce. Principles
are put into practice via a number of programming projects.
EE 5510 Random Processes (3, F) Prereq: EE 3510, MATH 5010.
Review of probability theory; multivariate distributions; Gaussian
distributions; weak and strong law of large numbers; random processes;
stationarity and ergodicity; mean-value function; auto- and
cross-correlation functions; power spectral densities;
Wiener-Khinchine theorem; Karhunen-Loeve expansion; Gaussian random
processes; random processes in linear filters; white Gaussian noise.
CS 5520/6520 Programming Languages and Semantics (3, S) Prereq: CS 3520.
Examination of the formal and pragmatic ideas behind
programming language design. Imperative, functional, logic,
object-oriented, and multi-paradigm languages. Lambda calculus,
fixpoints, type systems, and predicate logic.
Denotational semantics and models of concurrency.
EE 5520 Digital Communication Systems (3, S) Prereq: EE 5510.
Modern communications; probabilistic viewpoint; vector representation
of signal; signal spaces; vector channels; additive white Gaussian
noise; optimum receivers; maximum-likelihood detection; error
probabilities; memoryless modulation methods: PAM, BPSK, M-PSK, FSK,
QAM; message sequences; intersymbol interference (ISI); Nyquist
signaling; complex baseband models; noncoherent detection.
CS 5530/6530 Database Systems (3, F) Prereq: CS 3510.
Representing information about real world enterprises
using important data models including the entity-relationship,
relational and object-oriented approaches. Database design criteria,
including normalization and integrity
constraints. Implementation techniques using commercial database
management system software. Selected advanced topics such as
distributed, temporal, active, and multi-media databases.
CS 5540/6540 Human/Computer Interaction (3, F) Prereq: CS 3520.
Fundamentals of input/output devices, user interfaces, and
human factors in the context of designing interactive applications.
EE 5540 Digital Signal Processing (3, F) Prereq: EE 3510.
Discrete-time signals and systems; the z-transform. Input-output
relationships; discrete-time networks. The discrete-time Fourier
transform and sampling; practical sampling issues; signal
quantization. The discrete Fourier transform, the fast Fourier
transform, and high-speed convolution. Filter design from analog
models; impulse-invariant, bilinear, and spectral transformations.
FIR filter design, windowing, and frequency-sampling methods.
Equiripple filter design. Coefficient quantization. Examples of DSP
applications and implementations.
EE 5550 Survey of Function Approximation Methods (2, S) Prereq: MATH 2210, 2250, 3150.
Industrial problems requiring function approximations, Fourier
series, universal series approximations, fuzzy logic, radial basis
functions, neural networks, linear interpolation, triangulation,
window reticulation, response surfaces, polynomials, cubic splines,
sinc functions, Bezier curves. Offered alternate years.
EE 5551 Survey of Optimization Techniques (2, S) Prereq: MATH 2210, 2250, 3150.
Neural networks, gradient and Hessian descent, conjugate gradient,
random search, simulated annealing, prejudicial search, least-squares,
regression, downhill simplex, genetic algorithms, linear programming,
simplex algorithm, Karmarkar algorithm, quadratic and dynamic
programming, Riccati equation, Beard-Galerkin optimal control.
Offered alternate years.
EE 5570 Control of Electric Motors (3, S) Prereq: EE 3510.
Principles of operation, mathematical models, and control techniques
for electric motors. Types of motors include brush DC motors, stepper
motors, brushless DC motors, synchronous motors and induction motors.
Topics covered: steady-state and dynamic characteristics, torque
limits and field weakening operation, characteristics under voltage
and current sources, open-loop and closed-loop control of position and
velocity, and field-oriented operation for AC motors.
EE 5580/6580 Implementations of Digital Signal Processing Systems (3, F) Prereq: EE 5540, CS/EE 5710.
Review of common DSP systems and functional elements; number
representations. Implementation of bit-parallel, bit-serial, and
digit-serial multiplier and adder structures; carry-save arithmetic;
register minimization. Architectural transformation techniques:
folding and unfolding, pipelining, and retiming of computations.
Performance and hardware tradeoffs in VLSI DSP system design.
Pipelined and parallel direct-form FIR and IIR filter structures.
Pipelined adaptive filter structures. Architectures for the fast
Fourier transform.
CS 5600/6600 Computer Graphics I (3, F) Prereq: CS 3510, MATH 2250.
Basic display techniques, display devices, vector
generation, display processors. Homogeneous coordinates,
transformations, and clipping in 2-D. Graphics systems, interactive
graphics. Introduction to raster graphics. Some elements of
photography as related to computer graphics.
CS 5610/6610 Computer Graphics II (3, S) Prereq: CS 5600/6600.
Representations of 3-D objects, polygons, 3-D
visualization techniques, hidden-line and hidden- surface removal,
polygon clipping, continuous-tone pictures, color displays, lighting
models, the aliasing problem. Some fundamentals of photographing
computer-generated gray-scale images.
CS 5630/6630 Scientific Visualization (3) Prereq: CS 3510; CS 3200 or CS 5210 or MATH 5600.
An introduction to the techniques and tools needed for the
visual display of data. Students will explore many aspects of
visualization, using a "from concepts to results" format. The course
begins with an overview of the important issues involved in
visualization, continues through an overview of graphics tools relating
to visualization, and ends with instruction in the utilization and
customization of a variety of scientific visualization software
packages. (Offered every third semester, beginning in Fall 1999.)
CS/EE 5710/6710 Advanced Integrated Circuit Design I (3, F) Prereq: CS/EE 3700.
Project-oriented class for the design of a VLSI circuit
using high-level design tools. Use of high-level CAD tools such as
Viewlogic, Cascade, and Cadence. Three-student teams design, lay out,
and simulate a complete integrated circuit. Teams must conduct design
reviews, give progress reports, and prepare final written reports. All
projects must meet criteria for MOSIS tiny chips and are submitted for
fabrication at MOSIS if students agree to test the parts when they are
returned.
CS/EE 5720/6720 Advanced Integrated Circuit Design II (3, S) Prereq: CS/EE 5710/6710, EE 2100.
Introduction to basic concepts of the design of CMOS
integrated circuits for students with a wide range of backgrounds.
Static and dynamic properties of MOS circuits, composite layout of CMOS
circuits, and modeling of transistors for use in SPICE simulations.
Commonly encountered CMOS circuits. Introduction to CMOS
analog/digital circuits. Students complete design, composite layout,
and digitization of a simple integrated circuit using computer-aided
design tools.
CS/EE 5740/6740 Computer-Aided Design of Digital Circuits (3, F) Prereq: CS/EE 3700, CS 3510.
Introduction to theory algorithms used for computer-aided
synthesis of digital integrated circuits. Topics include algorithms
and representations for Boolean optimization, hardware modeling,
combination logic optimization, sequential logic optimization and
technology mapping. (Offered alternate years, beginning Fall 1998.)
CS/EE 5750/6750 Synthesis and Verification of Asynchronous VLSI Systems (3, S) Prereq: CS/EE 3700, CS 3510.
Introduction to systematic methods for the design of
asynchronous VLSI systems from high-level specifications to efficient,
reliable circuit implementations. Topics include specification,
controller synthesis, optimization using timing information, technology
mapping, data path design, and verification. (Offered alternate
years, beginning Spring 2000.)
CS/EE 5810/6810 Advanced Computer Architecture (3, F) Prereq: CS/EE 3700, CS/EE 3810.
Principles of modern high performance computer and micro
architecture: static vs. dynamic issues, pipelining, control and data
hazards, branch prediction and correlation, cache structure and
policies, cost-performance and physical complexity analyses.
CS/EE 5830 VLSI Architecture (3, S) Prereq: CS/EE 3710, CS/EE 3810.
Project-based study of a variety of topics related to VLSI
systems. Use of field programmable gate arrays to design, implement,
and test a VLSI project. (Offered alternate years, beginning Spring 2000.)
CS 5940 Seminar (1-3)
Current topics in computer science. May be repeated for credit.
CS 5950 Independent Study (Arr.)
EE 5950 Undergrad Special Study (1-12, FSU)
CS 5960-5964/6960-6964 Special Topics (Arr.)
The following special topics courses are currently scheduled for the
1998-99 academic year. Contact the faculty member in charge for details.
- CS 5960/6960 Advanced Compilers (3, F). Prof. Hsieh.
- CS 5962 Computers and Law (2, F). Prof. Hollaar.
- CS 5963 Advanced Manufacturing (2,F). Prof. Drake.
EE 5960-5961 Special Topics (1-5, FSU)
CS 6010 Writing Research Proposals (2, S)
Fundamental aspects of writing computer science research proposals,
including thesis, dissertation, and grant proposals. Form, style,
substance, and marketing of effective proposals will be considered.
Emphasis is placed on developing and presenting clear and compelling
ideas. Substantial writing and class presentations is required of all
participants. (This is a half-semester course.)
CS 6110 Formal Methods for System Design (3, S) Prereq: CS 5100/6100 and CS 5520/6520.
Study of methods for formally specifying and verifying
computing systems. Specific techniques
include explicit state enumeration, implicit state enumeration,
automated decision procedures for
first-order logic, and automated theorem proving. Examples selected
from the areas of superscalar CPU design, parallel processor memory
models, and synchronization and coordination protocols. (Offered
alternate years, beginning Spring 2000.)
CS 6220 Advanced Scientific Computing II (3) Prereq: CS 5210/6210 or MATH 5600.
A study of the numerical solution of two and three
dimensional partial differential equations that arise in science and
engineering problems. Topics include: finite difference methods, finite
element methods, boundary element methods, multigrid methods, mesh
generation, storage optimization methods, and adaptive methods.
(Offered every third semester, beginning in Spring 1999.)
EE 6261 Physical Theory of Semiconductor Devices (3, F) Prereq: EE 5202.
Development of a thorough, working knowledge of the physics of
semiconductor materials and devices, including quantum effects.
Examination of advanced devices, including light emitting diodes,
solar cells, detectors, and injection lasers. Offered alternate years.
EE 6262 Advanced Optoelectronics (3, S) Prereq: EE 5411.
Introduce the technology of ultrafast diode lasers from the basic
physical principles through to the applications in communications and
ultrafast optoelectronic and applications of semiconductor diode laser
arrays. All of the major types of arrays will be discussed including
coherent, incoherent, edge- and surface-emitting, horizontal- and
vertical-cavity, individually addressed, lattice-matched and
strained-layer systems. Offered alternate years.
EE 6263 Advanced Classical and Quantum Semiconductor (2, S) Prereq: EE 6261 or 5202.
This class will be a lecture/laboratory course focusing on advanced
principles of operation, physical design considerations, and testing
of advanced Si, SiGe, SiC, and III-V compound semiconductor devices.
Ohmic and Schottky contact technologies will be discussed in detail.
Advanced applications of MESFETs and JFETs will also be presented.
The primary thrust of this course will be on HEMTs, HBTs, MBTs, graded
junction/alloy transistors, resonant tunneling transistors and other
quantum and superlattice devices. Trade-offs, theoretical
considerations, modeling and simulation, testing, and the correlation
between theory and experiment for various device parameters will be
covered. Offered alternate years.
EE 6264 Advanced Silicon Devices (3, S) Prereq: EE 6261 or 5202.
Current topics in silicon device physics. Review of MOS device
theory, rules for scaling devices to submission dimensions,
theoretical limits to scaling. Short channel, device models including
two-dimensional numerical models. Hot carrier effects and other
reliability issues. Yield statistics, lifetime prediction.
EE 6265 Semiconductor Processing: Epitaxy (2, S) Prereq: EE 6261 or 5202.
Development of a through, working knowledge of the thermodynamic and
kinetic aspects of epitaxy. This material is used to illustrate the
advanced epitaxial techniques of organometallic vapor phase epitaxy,
chemical beam epitaxy, and molecular beam epitaxy. Offered alternate years.
EE 6266 Advanced Semiconductor Device Characterization (2, S) Prereq: EE 6261 or 5202.
This class will be a lecture/laboratory course focusing on advanced
characterization, measurement, and testing of semiconductor devices.
Topics include: MIS/MOS interface and bulk trap measurement and
analysis using HF/Ideal, LF/HF, LF/Ideal, Multifrequency (Conductance)
capacitance versus voltage (C-V) curves, BTS and TVS testing of
oxides, Fowler Nordheim and Poole Frenkel currents in oxides and
insulators, Charge Pumping, two-, three-, and four-terminal MOS
current vs. Voltage (I-V) measurements, measuring hot Electron/Short
Channel Effects, C-t/Zerbst Plots, Silicide technology,
Electronmigration effects, DLTS, I-V versus temperature of MOS and
BJTs. Offered alternate years.
EE 6310 Advanced Electromagnetic Fields (3, F) Prereq: EE 3310.
Review of Maxwell's macroscopic equations in integral and
differential forms including boundary conditions, power and energy
computations, and time-harmonic formulations. Macroscopic electrical
properties of matter. Oblique incidence planewave propagation and
polarization in multi-layered media. Separation of variable solutions
of the wave equation in rectangular, cylindrical and spherical
coordinates. Vector potential theory and the construction of
solutions using Green's theorem. Electromagnetic theorems of duality,
uniqueness, reciprocity, reaction, and source equivalence. Waveguide,
cavity, antenna, and scattering applications in rectangular,
cylindrical, and spherical geometries.
EE 6320 Advanced Microwave Integrated Circuits (3, S) Prereq: EE 5321.
This class deals with design and technology of microwave integrated
circuits (MICs) and Monolithic Microwave Integrated Circuits (MMICs).
Microwave integrated circuits such as small-signal amplifiers, power
amplifiers, and oscillators are studied. Nonlinear circuits such as
frequency multipliers and mixers are also covered in detail. Active
devices are studied for microwave circuit and system applications.
Transistors, both bipolars and FETs, and various two terminal devices
are also discussed. This class deals with fabrication techniques and
measurements related to microwave integrated circuits. Testing,
packaging and reliability issues are studied. This class also covers
monolithic microwave integrated circuit techniques. This class
involves extensive computer-aided designs, circuit layout and
fabrication, and circuit characterization and testing of MICs and
MMICs. Offered alternate years.
EE 6330 Microwave Devices and Physical Electronics (3, F) Prereq: EE 5321.
State-of-the-art course in microwave thermionic devices: Formation
and control of electron beams. Llewellyn Peterson equations,
space-charge waves, klystrons, traveling-wave tubes. Offered
alternate years.
EE 6331 Microwave Devices and Physical Electronics (3, S) Prereq: EE 6330.
State-of-the-art course in microwave thermionic devices: Continuation
of traveling-wave tubes, backward-wave oscillators, crossed-field
devices, parametric amplifiers, gyrotron devices, and free-electron
lasers. Offered alternate years.
EE 6340 Numerical Techniques in Electromagnetics (3, S) Prereq: EE 3300, MATH 2210, 2250.
Review of basic numerical techniques including matrix methods and
numerical methods for error minimization and convergence. Comparison
of differential and integral formulations including finite difference,
finite element, and moment methods. Emphasis on frequency domain
method of moments and time domain finite difference (FDTD). Computer
exercises require FORTRAN, C, or equivalent programming and
computerized data display techniques. Offered alternate years.
CS 6360 Virtual Reality (3, S) Prereq: CS 5310/6310.
Human interfaces: visual, auditory, haptic, and locomotory
displays; position tracking and mapping. Computer hardware and
software for the
generation of virtual environments. Networking and communications.
Telerobotics: remote manipulators and vehicles, low-level control,
supervisory control, and real-time architectures. Applications:
manufacturing, medicine, hazardous environments, and training.
(Offered alternate years, beginning Spring 1999.)
EE 6420 Fourier Optics and Holography (3, F) Prereq: EE 3310, 5410.
Analysis of optical systems by use of spatial Fourier transforms. A
systems approach to optics using spatial frequencies and transfer
functions to analyze diffraction, filtering, and imaging. Holography
and holographic optical elements used in optical signal processing
techniques. Includes two laboratory experiences. Offered alternate years.
EE 6430 Statistical Optics, Interferometry, and Detection (3, F) Prereq: EE 5410, 6420, 5510.
Coherence properties of light, including partial temporal and spatial
coherence, as measured by statistical functions. Review of basic
statistical concepts. Intensity fluctuations of thermal and laser
light. Michelson interferometry, Wiener-Khinchin theorem, Young's
experiment and the Van Cittert-Zernike theorem. Origins and
statistics of optical noise. Comparison of various detection
techniques. Includes two laboratory experiences. Offered alternate years.
EE 6440 Integrated Optics and Optical Sensors (3, S) Prereq: EE 5410, 5411.
Planar and rectangular waveguides and their mode properties.
Fabrication techniques, input and output couplers, and coupling
between guides. Integrated optic modulators. Applications of
integrated optical devices. Optical sensors for biomedical and
environmental monitoring. Includes two laboratory experiences.
Offered alternate years.
EE 6450 Quantum Electronics (3, F) Prereq: EE 3310, 5410, PHYCS 3740.
Advanced quantum mechanical analysis of the interaction of light with
matter, including quantization of lattice vibrations and the
electromagnetic field. Analysis of laser principles based on quantum
mechanical principles. Offered alternate years.
EE 6451 Nonlinear Optics and Spectroscopy (3, S) Prereq: EE 6450.
Theoretical development and applications of nonlinear optical
processes including harmonic generation, sum and difference frequency
generation, parametric oscillation. Nonlinear refractive indices and
multiphoton absorption. Offered alternate years.
EE 6510 Statistical Communication Theory (3, S) Prereq: EE 5510, 5520.
Efficient modulation; the capacity theorem; Shannon bound; signal
constellations, lattices; maximum-likelihood sequence detection;
maximum-aposteriori symbol detection; communication channels;
statistical description of channels; multipath fading channels;
Optimal detection; diversity detection; spread-spectrum
communications; spreading sequences; Gold codes; multiple-access
communications; code-division multiple access (CDMA); Aloha and random
access communications. Offered alternate years.
EE 6520 Information Theory and Coding (3, S) Prereq: EE 5510, 5520.
Concept of Information; uncertainty; entropy; source and channel
models; source coding; Huffman codes; Shannon's source coding theorem;
channel coding; Shannon's channel coding theorem; bandwidth and the
Shannon bound; linear block codes; elements of Galois field theory;
cyclic codes; encoding and decoding; classical block codes: BCH,
Reed-Solomon (RS) codes; algebraic decoding, efficient decoding of BCH
and RS codes. Offered alternate years.
EE 6521 Error Control Coding (3, S) Prereq: EE 5510, 5520.
Modern communications systems; additive white Gaussian noise;
bandwidth and power constraints; soft-decision decoding; tree codes;
tree decoders; the M-algorithm; convolutional codes; trellis codes;
decoding methods; maximum aposteriori symbol detection (MAP), soft
information processing; iterative decoding, Turbo coding principles.
Offered alternate years.
EE 6540 Estimation Theory (3, S) Prereq: EE 5510, 5540.
Bayesian parameter estimation; unbiased estimators; minimum variance
estimators. Sufficient statistics; maximum-likelihood estimation; the
Cramer-Rao bound. Linear estimation; minimum-mean-square-error
estimation and its geometrical interpretation. Wiener filtering;
spectral factorization. Kalman filtering and state-space estimation.
Applications of estimation to practical problems including system
identification and spectrum estimation. Offered alternate years.
EE 6550 Adaptive Filters (3, S) Prereq: EE 5510, 5540.
Basics of minimum mean-square and least squares estimation. Lattice
orthogonalization. Stochastic gradient adaptive filters: derivations,
performance analyses and variations. Recursive least-squares adaptive
filters: fast algorithms, least-squares lattice filters, numerical
issues, and performance comparisons with stochastic gradient adaptive
filters. Adaptive IIR filters. Fundamentals of adaptive nonlinear
filtering. Selected applications. Offered alternate years.
EE 6560 Multivariable Systems (3, F) Prereq: EE 3510; ME EN 5210 recommended.
State-space models, controllability, observability, model reduction,
and stability. Matrix fraction descriptions, coprimeness, properness,
state-space realizations, multivariable poles and zeros, and canonical
forms. Linear quadratic control, pole placement, and model reference
control. Frequency-domain analysis and optimization. Offered
alternate years.
EE 6570 Adaptive Control (3, F) Prereq: EE 3510; ME EN 5210 recommended.
Identification using gradient and least-squares algorithms. Indirect
adaptive control: pole placement control, model reference control,
predictive control, and problems with singularity regions. Direct
adaptive control: strictly positive real transfer functions,
Kalman-Yacubovitch-Popov lemma, passivity theory, and stability of
pseudo-gradient adaptive algorithms. Persistency of excitation and
sufficient richness conditions for parameter convergence. Averaging
methods and robustness issues. Disturbance rejection. Offered
alternate years.
EE 6580 Implementation of DSP Systems (3, S) Prereq: EE 5540, 5710.
CS 6620 Image Synthesis (3, S) Prereq: CS 5610/6610, CS 6670 MATH 5010.
Using camera and sensor simulation along with physical
simulation to generate realistic synthetic images. (Offered alternate
years, beginning Spring 1999.)
EE 6640 Advanced Digital Signal Processing I (3, F) Prereq: EE 5510, 5540.
Project-oriented class on advanced topics of current interest in
signal processing. Examples of topics include image compression,
nonlinear signal processing, active noise control, blind deconvolution
and equalization. Offered alternate years.
EE 6641 Advanced Digital Signal Processing II (3, F) Prereq: EE 5510, 5540, 6640.
Project-oriented class on advanced topics of current interest in
signal processing. Examples of topics include image compression,
nonlinear signal processing, active noise control, blind deconvolution
and equalization. Offered alternate years
CS 6670 Computer-Aided Geometric Design I (3, F) Prereq: MATH 2210, MATH 2250, CS 3510; Coreq: CS 5600/6600.
CS 6680 Computer-Aided Geometric Design II (3, S) Prereq: CS 6670.
Introduction to current concepts and issues in CAGD
systems with emphasis on free- form surface design; mathematics of
free-form curve and surface representations, including Coons patches,
Bezier method, B-splines, triangular interpolants, and their geometric
consequences; classical surface geometry; local and global design
tradeoffs and explicit and parametric tradeoffs; subdivision and
refinement as techniques in modeling; current production capabilities
compared to advanced research. Laboratory experiments with current CAD
systems. (Offered alternate years, beginning Spring 2000.)
CS/EE 6820 Parallel Computer Architecture (3, S) Prereq: CS/EE 5810/6810.
Architecture, design, and analysis of parallel computer
systems: vector processing, data vs. control concurrency, shared
memory, message passing, communication fabrics, case studies of current
high performance parallel systems. (Offered alternate years,
beginning Spring 2000.)
CS 6930-6944 Seminar (1-3)
Current topics in Computer Science. May be repeated for credit.
CS 6950 Independent Study (Arr.)
EE 6960-6961 Special Topics (1-5, FSU)
CS 7120 Information-Based Complexity (3, S) Prereq: CS 3200, MATH 2270, MATH 3210.
Analysis of optimal computational methods for continuous
problems. Introduction to the general worst case theory of optimal
algorithms, linear problems, and spline algorithms as well as selected
nonlinear problems. Examples include optimal integration,
approximation, nonlinear zero finding, and fixed points. (Offered
alternate years, beginning Spring 1999.)
CS 7240 Sinc Methods (3) Prereq: CS 5210/6210 or MATH 5600 or MATH 5610.
Sinc methods for solving difficult computational problems, such as
partial differential and integral equation problems, that arise in
science and engineering research. Emphasis on parallel computation.
Applications vary, depending on participants in the class. Students
are given projects--whenever possible in their areas of research--that
lead to publishable research articles. (Not offered 1998-99.)
CS 7310 Advanced Robotics (3, S) Prereq: CS/ME 5310/6310 5220/6220. Crosslisted with ME 7230.
This course covers the kinematics, dynamics, and control
of robotic manipulators. Projects controlling robots will be an
integral part of the course. (Offered alternate years, beginning
Spring 2000.)
EE 7310 Advanced Topics in Magnetic Resonance Imaging (3, S) Prereq: Instructor consent.
In-depth study of physics and mathematics of MR imaging and MR
spectroscopy as they relate to imaging of biologic systems: NMR
physics, Block's equations, pulse sequences, flow and diffusion
phenomena, spectroscopy principles, methodology. Laboratory. Offered
alternate years.
EE 7320 3-D Reconstruction Techniques in Medical Imaging (3, S) Prereq: Instructor consent.
Physics and mathematics of three-dimensional reconstruction
techniques in medical imaging: projection slice theorem,
backprojection techniques, analytical and iterative reconstruction
alogrithms, numerical methods; applications in X-Ray CT, SPECT, PET,
and NMR. Laboratory. Offered alternate years.
CS 7460 Advanced Operating Systems (3) Prereq: CS 5460/6460, CS 5480/6480.
Practical distributed operating systems concepts from
basics through the state of the art. Topics include interprocess
communication, client-server systems, distributed shared memory,
distributed file systems, distributed databases, portable computing,
software fault tolerance, and wide-area (e.g. web) applications. Work
includes individual oral presentations, a group project, and a written
research report. (Offered alternate years, beginning Spring 2000.)
