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100 | 200 |
300 | 400 | Graduate
Courses
Computer Engineering
(Administered by the Department of Electrical and Computer
Engineering)
Subrahmanyam Venkata, Chair of Department
Professors: J. Bowler, Dalal, Geiger, Horton, Jiles, Kamal, Kothari,
Lamont, Melsa, Rover, Sheble, Somani, Venkata, Vittal, Weber, Woods
Professors (Collaborators): Hassoun, Khammash, L. Udpa, S. Upda
Distinguished Professors (Emeritus): Brown, Fouad, Lord, Nilsson,
Pohm
University Professors (Emeritus): Jones
Professors (Emeritus): Anderson, Brearley, Brockman, Comstock, Fanslow,
Hale, Hsieh, Koerber, Kopplin, Potter, Read, Smay, Stewart, Swift,
Townsend, Triska
Associate Professors: Ajjarapu, Aluru, Bartlett, Berleant, Chang,
Chen, Cruz-Neira, Davidson, Davis, Dickerson, Jacobson, Kleitsch,
Kruempel, Kumar, McCalley, Russell, Tuttle, Tyagi
Associate Professors (Adjunct): N. Bowler
Associate Professors (Emeritus): Bond, Carlson, Coady, McMechan,
Mericle, Pavlat, Scott, Stephenson
Assistant Professors: Balasubramaniam, Chu, Daniels, Dogandzic,
Elia, Govindarasu, Guan, Ma, Patterson, Salapaka, Song, Tirthapura,
Wang, Zhang
Assistant Professors (Adjunct): Amin, Bode, Mina
Assistant Professors (Collaborators): Barton, Chandramouli, Lee
Undergraduate Study
For undergraduate curriculum in computer engineering leading
to the degree bachelor of science, see College of Engineering, Curricula.
This curriculum is accredited by the Engineering Accreditation Commission
of the Accreditation Board for Engineering and Technology.
The Electrical and Computer Engineering (ECPE) Department at Iowa
State University provides undergraduate students with the opportunity
to learn electrical and computer engineering fundamentals, to study
applications of the most recent advances in state-of-the-art technologies,
and to prepare for the practice of engineering. The student-faculty
interaction necessary to realize this opportunity occurs within
an environment that is motivated by the principle that excellence
in undergraduate education is enhanced by an integrated commitment
to successful, long-term research and outreach programs.
The computer engineering curriculum offers specializations in computer
architecture and digital design, software systems, information security,
networking, and VLSI. Students may also take elective courses in
control systems, electromagnetics, microelectronics, VLSI, power
systems, and communications and signal processing.
The mission of the computer engineering program at Iowa State University
is to enable the graduated student to make significant and substantive
contributions to solving computer engineering problems throughout
the student’s professional career. The following objectives
are identified as critical to the accomplishment of this mission.
A. Objective I. Impart and enhance knowledge in the domain of computer
engineering: The graduated student should understand
1. engineering and basic science fundamentals including mathematics,
probability, statistics, physical sciences, and information technology,
2. the design and manufacturing processes,
3. the fundamentals of business, including entrepreneurship, and
cost/revenue streams.
B. Objective II. Expand and hone engineering abilities: The graduated
student should be able to
1. identify and solve engineering problems,
2. analyze and design electrical, computer, and multidisciplinary
systems,
3. design and conduct experiments and analyze resulting data,
4. use modern engineering hardware and software tools such as computers
and instrumentation.
C. Objective III. Instill and nurture social awareness, abilities,
and understanding: The graduated student should
1. desire to engage in lifelong learning, and should expect and
embrace change,
2. be able to function effectively as a member of a multidisciplinary
team, to communicate effectively, and to think critically and creatively,
both independently and with others,
3. apply standards of professional conduct in view of the value
of science and technology in a global/societal context.
As a complement to the instructional activity, the ECPE Department
provides opportunities for each student to have experience with
broadening activities. Through the Cooperative Education and Internship
Program, students have the opportunity to gain practical industry
experience. See College of Engineering, Cooperative Programs. Through
the Undergraduate Research Program, students have the opportunity
to participate in advanced research activities; and through international
exchange programs, students learn about engineering practices in
other parts of the world. Well qualified juniors and seniors in
Computer Engineering who are interested in graduate study may apply
for concurrent enrollment in the Graduate College to simultaneously
pursue both B.S. and M.S. degrees. See Graduate Study for more information.
Students are required to prepare and to maintain a portfolio of
their technical and non-technical skills. This portfolio is evaluated
for student preparation during the student’s curriculum planning
process. Results of the evaluation are used to advise students of
core strengths and weaknesses. Prerequisite material exams may be
given at key points in the curriculum. These exams are to assist
student evaluation of progress made during the academic experience
as the material covered in several courses are the foundation of
more advanced courses. These outcome assessments are also used to
assess and to improve the quality of the curriculum.
Graduate Study
The department offers work for the degrees master of science
and doctor of philosophy with major in computer engineering and
minor work to students with other majors. Minor work for computer
engineering majors is usually selected from a wide range of courses
outside computer engineering.
The degree master of science with thesis is recommended for students
who intend to continue toward the doctor of philosophy degree or
to undertake a career in research and development. The nonthesis
master of science degree requires a creative component.
The normal prerequisite to major work in computer engineering is
the completion of undergraduate work substantially equivalent to
that required of computer engineering students at this university.
It is possible for a student to qualify for graduate study in computer
engineering even though the student’s undergraduate or prior
graduate training has been in a discipline other than computer engineering.
Supporting work, if required, will depend on the student's background
and area of research interest. Prospective students from a discipline
other than computer engineering are required to submit, with the
application for admission, a statement of the proposed area of graduate
study.
The department requires submission of GRE aptitude test scores by
applicants from other countries. All students whose first language
is not English and who have no U.S. degree must submit TOEFL examination
scores. Ph.D. students must pass a department qualifying examination.
The Department of Electrical and Computer Engineering is a participating
department in the interdepartmental M.S. and Ph.D. degree programs
in Bioinformatics and Computational Biology. Students interested
in these programs may earn their degrees while working under an
adviser in Electrical and Computer Engineering.
The Department of Electrical and Computer Engineering is also a
participating department in the interdepartmental Master of Science
in Information Assurance program. Students interested in studying
Information Assurance topics may earn a degree in Computer Engineering
or in Information Assurance. (See bulletin section on Information
Assurance.)
Well qualified juniors and seniors in Computer Engineering who are
interested in graduate study may apply for concurrent enrollment
in the Graduate College to simultaneously pursue both B.S. and M.S.
degrees. Under concurrent enrollment, students are eligible for
assistantships and simultaneously take undergraduate and graduate
courses. Details are available in the Student Services Office and
on the department’s web site.
Courses open for nonmajor graduate credit: all 300 and 400 level
courses except 310, 370, 396, 397, 398, 466, 490, 491, 492, 494,
and 498.
Courses Primarily for Undergraduate Students
Cpr E 166. Professional
Programs Orientation. (Same as E E 166.) (1-0) Cr. R. F.S.
Overview of the nature and scope of electrical engineering and computer
engineering professional. Portfolio construction. Departmental rules,
student services operations, degree requirements, program of study
planning, career options, and student organizations.
Cpr E 185. Introduction to Computer Engineering
and Problem Solving. (2-2) Cr. 3. Prereq: Credit or enrollment
in Math 141. Introduction to Computer Engineering and teamwork.
Project based examples from computer engineering. Group skills needed
to work effectively in teams. Group problem solving. Individual
interactive skills for small and large groups. Computer-based projects.
Solving engineering problems and presenting solutions through technical
reports. Solution of engineering problems using the C language.
Cpr E 203. Electronic Devices and Circuits.
(Same as E E 203.) (3-3) Cr. 4. F.S. Prereq: E E 201, Math 267,
Phys 222 and credit or enrollment in 210. Emphasis on mathematical
tools. Operational amplifier models and applications. DC, large-signal,
and small-signal frequency-independent and frequency dependent models
and characteristics for diodes, bipolar junction transistors, and
field-effort transistors. SPICE simulation applied to electronic
circuit analysis and design. IC technology for MOS and bipolar analysis
and design. Characteristics of IC logic families. Laboratory design
projects.
Cpr E 210. Introduction to Digital Design.
(3-2) Cr. 4. F.S. Prereq: Sophomore classification. Number
systems and representation. Boolean algebra and logic minimization.
Combinational and sequential logic design. Arithmetic circuits and
finite state machines. Use of programmable logic devices. Introduction
to computer-aided schematic capture systems, simulation tools, and
hardware description languages. Design of a simple digital systems.
Cpr E 211. Introduction to Microcontrollers.
(3-2) Cr. 4. F.S. Prereq: 210, Com S 207 or 227. Introduction
to microprocessor instruction sets. Assembly language programming
and interfaces to higher-level languages. Input/output programming.
Interrupt handling. Hardware/software design tradeoffs and issues.
Design projects.
Cpr E 298. Cooperative Education.
Cr. R. F.S.SS. Prereq: Permission of department. First professional
work period in the cooperative education program. Students must
register for this course before commencing work.
Cpr E 305. Computer Organization and
Design. (3-2) Cr. 4. F.S. Prereq: 211 or Com S 321.
Introduction to computer organization. Evaluating performance of
computer systems, instruction set design, computer arithmetic, and
processor design. Datapath and control, pipelining and pipelined
control design. Memory organization. Interfacing processors and
peripherals. Laboratory component using HDLs. Nonmajor graduate
credit.
Cpr E 308. Operating Systems: Principles
and Practice. (3-3) Cr. 4. F.S. Prereq: 305, 310.
Operating system concepts, processes, threads, IPC, scheduling algorithms,
deadlocks, memory management, file systems, I/O systems, Linux-based
kernel-level lab experiments. Nonmajor graduate credit.
Cpr E 310. Theoretical Foundations of Computer
Engineering. (3-0) Cr. 3. F.S. Prereq: Credit or enrollment
in Cpr E 211, Com S 228. Propositional logic and methods of
proof; set theory and its applications; mathematical induction and
recurrence relations; functions and relations; counting and discrete
probability; trees and graphs; applications in computer engineering.
Cpr E 334. Integrated Circuit Design.
(Same as E E 334.) (3-3) Cr. 4. F.S. Prereq: E E 203. Overview
of integrated circuit technology. Advanced MOSFET models, bipolar
junction transistors. Small-signal analysis, IC amplifier configurations,
biasing, and frequency response. MOS digital design. Introduction
to CAD tools. Laboratory design projects. Nonmajor graduate credit.
Cpr E 370. Toying with Technology.
(Same as Mat E 370.) See Materials Engineering.
Cpr E 396. Summer Internship. Cr.
R. SS. Prereq: Permission of department. Summer professional
work period.
Cpr E 397. Engineering Internship.
Cr. R. F.S. Prereq: Permission of department. One semester
maximum per academic year professional work period.
Cpr E 398. Cooperative Education.
Cr. R. F.S.SS. Prereq: 298, permission of department. Second
professional work period in the cooperative education program. Students
must register for this course before commencing work.
Cpr E 425. High Performance
Computing for Scientific and Engineering Applications. (Same
as Com S 425.) See Computer Science. Nonmajor graduate credit.
Cpr E 426. Introduction to Parallel Algorithms
and Programming. (Dual-listed with 526; same as Com S 426.)
(3-2) Cr. 4. F. Prereq: 308 or Com S 321, Com S 311. Models
of parallel computation, performance measures, basic parallel constructs
and communication primitives, parallel programming using MPI, parallel
algorithms for selected problems including sorting, matrix, tree
and graph problems, fast Fourier transforms. Nonmajor graduate credit.
Cpr E 430. Advanced Protocols and Network
Security. (Dual-listed with 530.) (3-0) Cr. 3. Prereq:
305. Detailed examination of networking standards, protocols,
and their implementation. TCP/IP protocol suite, network applications
protocols, IP routing, network security issues. Emphasis on laboratory
experiments. Nonmajor graduate credit.
Cpr E 434. Analog and Digital VLSI Design.
(Same as E E 434.) (3-3) Cr. 4. Prereq: E E 334. Semiconductor
processes and fabrication, device models, physical layout, simulation,
synthesis and fabrication. Design and use of analog and digital
building blocks. Behavioral level descriptions of digital circuits
and synthesis using standard cells. Nonmajor graduate credit.
Cpr E 435. Analog VLSI Circuit Design.
(Same as E E 435.) (3-3) Cr. 4. S. Prereq: 434. Basic analog
integrated circuit and system design including design space exploration,
performance enhancement strategies, operational amplifiers, references,
integrated filters, and data converters. Nonmajor graduate credit.
Cpr E 454. Distributed and Network Operating
Systems. (Dual-listed with 554; same as Com S 454.) See Computer
Science. Nonmajor graduate credit.
Cpr E 458. Real Time Systems. (Dual-listed
with 558.) (3-0) Cr. 3. Prereq: 308 or Com S 352. Fundamental
concepts in real-time systems. Real time task scheduling paradigms.
Resource management in uniprocessor real-time systems, multiprocessor
real-time systems, distributed real-time systems, and real-time
networks. Feedback control real-time scheduling, case study of real-time
system architectures, operating systems, and programming languages.
Nonmajor graduate credit.
Cpr E 465. Digital Integrated Circuit Design.
(Same as E E 465.) (3-3) Cr. 4. S. Prereq: 334. Digital design
of integrated circuits employing very large scale integration (VLSI)
methodologies. High level hardware design languages, logic synthesis
and silicon compilers, datapath, architectures and systems on a
chip (SOC) considerations. VLSI chip hardware design project. Nonmajor
graduate credit.
Cpr E 466. Multidisciplinary Engineering
Design. (Same as E E 466, I E 466,Mat E 466.) (1-4) Cr. 3.
F. S. Prereq: Student must be within two semesters of graduation
and receive permission of instructor. Application of team design
concepts to projects of a multidisciplinary nature. Concurrent treatment
of design, manufacturing and life cycle considerations. Application
of design tools such as CAD, CAM, and FEM. Design methodologies,
project scheduling, cost estimating, quality control, manufacturing
processes. Development of a prototype and appropriate documentation
in the form of design journals, written reports, oral presentations
and computer models and engineering drawings.
Cpr E 483. Hardware Software Integration.
(3-3) Cr. 4. S. Prereq: 305. Design of microprocessors with
hardware description language and programmable logic devices. Use
of microprocessors as system components. Bus architectures and standard
interfaces. Embedded software development. Development of embedded
systems by integrating embedded software and microprocessors. Laboratory-oriented
design projects. Nonmajor graduate credit.
Cpr E 485. Java and Internet Programming.
(2-2) Cr. 3. S. Prereq: Com S 309. The Java programming language,
emphasizing internet related capabilities. JavaScript topics. Nonmajor
graduate credit.
Cpr E 486. Object Oriented Software Specification
and Design. (3-0) Cr. 3. F. Prereq: 308, Com S 309.
Study of methods, techniques, and tools associated with the various
types of specification and design activities: architectural design,
component design, interface specification, data specification and
design, and algorithm specification and design. Object-oriented
specification and design using Unified Modeling Language (UML) and
Design Patterns. Term projects to provide hands-on experience in
dealing with complex specification and design issues. Nonmajor graduate
credit.
Cpr E 489. Computer Networking and Data Communications.
(3-0) Cr. 3. F.S. Prereq: 305 or E E 324. Survey of modern
computer networking and data communications. Contemporary concepts,
facilities, practices, implementations, and issues. TCP/IP, OSI
protocols, client server programming. Nonmajor graduate credit.
Cpr E 490. Independent Study. Cr.
arr. Prereq: Senior classification in computer engineering.
Investigation of an approved topic.
H. Honors
Cpr E 491. Senior Design Project I and Professionalism
. (Same as E E 491.) (2-3) Cr. 3. F.S. Prereq: E E 322
or Cpr E 308, completion of 24 credits in the E E core professional
program or 29 credits in the Cpr E core professional program, Engl
314. Preparing for entry to the workplace. Selected professional
topics. Use of technical writing skills in developing project plan
and design report; project poster. First of two-semester team-oriented,
project design and implementation experience.
Cpr E 492. Senior Design Project II.
(Same as E E 492.) (1-3) Cr. 2. F.S. Prereq: Cpr E 491 or E E
491. Emphasis on the successful implementation and demonstration
of the design completed in 491 or Cpr E 491 and the evaluation of
project results. Technical writing of final project report; oral
presentation of project achievements.
Cpr E 494. Portfolio Assessment. (Same
as E E 494.) (1-0) Cr. R. Prereq: Credit or enrollment in 491.
Portfolio update and evaluation. Interviewing skills with portfolios.
Cpr E 498. Cooperative Education.
Cr. R. F.S.SS. Prereq: 398, permission of department. Third
and subsequent professional work periods in the cooperative education
program. Students must register for this course before commencing
work.
Courses Primarily for Graduate Students,
open to qualified undergraduate students
Cpr E 501. Analog and Mixed-Signal
VLSI Circuit Design Techniques. (Same as E E 501.) (3-3)
Cr. 4. F. Prereq: 434. Design techniques for analog and mixed-signal
VLSI circuits. Amplifiers; operational amplifiers, transconductance
amplifiers, finite gain amplifiers and current amplifiers. Linear
building blocks; differential amplifiers, current mirrors, references,
cascading and buffering. Performance characterization of linear
integrated circuits; offset, noise, sensitivity and stability. Layout
considerations, simulation, yield and modeling for high-performance
linear integrated circuits.
Cpr E 505. CMOS and BiCMOS Data Conversion
Circuits. (Same as E E 505.) (3-3) Cr. 4. Alt. S., offered
2004. Prereq: 434 or 501. Theory, design and applications
of data conversion circuits (A/D and D/A converters) including architectures,
characterization, quantization effects, conversion algorithms, spectral
performance, element matching, design for yield, and practical implementation
issues.
Cpr E 507. VLSI Communication Circuits.
(Same as E E 507.) (3-0) Cr. 3. Alt. S., offered 2005. Prereq:
434 or 501. Phase-locked loops, frequency synthesizers, clock
and data recovery circuits, theory and implementation of adaptive
filters, low-noise amplifiers, mixers, power amplifiers, transmitter
and receiver architectures.
Cpr E 511. Design and Analysis of Algorithms.
(Same as Com S 511.) See Computer Science.
Cpr E 525. Numerical Analysis
of High-Performance Computing. (Same as Com S 525, Math 525.)
(3-0) Cr. 3. S. Prereq: 308, or one of Math 273, 471, 481; experience
in scientific programming; knowledge of FORTRAN or C. Development,
analysis, and testing of efficient numerical methods for use on
state-of-the-art high performance computers. Applications of the
methods to the student’s area of research.
Cpr E 526. Introduction to Parallel Algorithms
and Programming. (Dual-listed with 426; same as Com S 526.)
(3-2) Cr. 4. F. Prereq: 308 or Com S 321, Com S 311. Models
of parallel computation, performance measures, basic parallel constructs
and communication primitives, parallel programming using MPI, parallel
algorithms for selected problems including sorting, matrix, tree
and graph problems, fast Fourier transforms.
Cpr E 530. Advanced Protocols and Network
Security. (Dual-listed with 430, same as InfAs 530.) (3-0)
Cr. 3. Prereq: 305. Detailed examination of networking standards,
protocols, and their implementation. TCP/IP protocol suite, network
application protocols, IP routing, network security issues. Emphasis
on laboratory experiments.
Cpr E 531. Information System Security.
(Same as InfAs 531.) (3-0) Cr. 3. Prereq: 489 or 530 or Com S
586 or MIS 535. Computer and network security: basic cryptography,
security policies, multilevel security models, attack and protection
mechanisms, legal and ethical issues.
Cpr E 532. Information Warfare. (Same
as InfAs 532.) (3-0) Cr. 3. S. Prereq: 531. Computer system
and network security: implementation, configuration, testing of
security software and hardware, network monitoring. Authentication,
firewalls, vulnerabilities, exploits, countermeasures. Ethics in
information assurance. Emphasis on laboratory experiments.
Cpr E 533. Cryptography. (Same as
Math 533.) See Mathematics.
Cpr E 534. Legal and Ethical Issues in Information
Assurance. (Same as InfAs 534.) (3-0) Cr. 3. S. Prereq:
531. Legal and ethical issues in computer security. State and
local codes and regulations. Privacy issues.
Cpr E 537. Wireless Network Security.
(3-0) Cr. 3. S. Prereq: Credit or enrollment in 489 or 530.
Introduction to the physical layer and special issues associated
with security of the airlink interface. Wireless networking, base
stations, mobile stations, airlink access, jamming, spoofing, signal
intercept, wireless LANs, wireless modems, cellular radiotelephones,
optical links, signal modeling, propagation modeling.
Cpr E 540. Principles and Practice of Compiling.
(Same as Com S 540.) See Computer Science.
Cpr E 541. High-Performance Communication
Networks. (3-0) Cr. 3. Prereq: 530 or Com S 586. Selected
topics from recent advances in local area networks, metropolitan
area networks, asynchronous transfer mode, high-speed optical networks,
high-speed switch architectures, multicasting for teleconferencing
applications, wireless and mobile computing.
Cpr E 542. Optical Communication Networks.
(3-0) Cr. 3. Prereq: 489. Optical components and interfaces;
optical transmission and reception techniques; wavelength division
multiplexing; network architectures and protocol for first generation,
single and multihop optical network; routing and wavelength assignment
in second generation wavelength routing networks; linear lightwave
networks.
Cpr E 545. Fault-Tolerant Systems.
(3-0) Cr. 3. Prereq: 305. Faults and their manifestations,
errors, failures, reliability and availability techniques. Designing
highly reliable systems, redundancy management, fault detection,
location and reconfiguration. Testing, design for testability, self-checking
and fail-safe circuits, coding techniques. System-level fault diagnosis,
fault-tolerant communication, fault tolerant multiprocessor systems.
Reliable software design, low-overhead high-availability techniques.
Evaluation methods.
Cpr E 549. Advanced Algorithms in Computational
Biology. (Same as Com S 549, BCB 549.) (3-0) Cr. 3. S. Prereq:
Com S 311. Design and analysis of algorithms for applications
in computational biology, pairwise and multiple sequence alignments,
approximation algorithms, string algorithms including in-depth coverage
of suffix trees, semi-numerical string algorithms, algorithms for
selected problems in fragment assembly, phylogenetic trees, and
protein folding.
Cpr E 554. Distributed and Network Operating
Systems. (Dual-listed with 454; same as Com S 554.) See Computer
Science.
Cpr E 556. Scalable Software Engineering.
(3-0) Cr. 3. Prereq: 486. Study of methods, techniques and
tools for design, development and evolution of complex software;
aspect--oriented programming, domain-specific software technologies,
automation for reliable and scalable software engineering, program
analysis, comprehension, and transformation.
Cpr E 557. Computer Graphics and Geometric
Modeling. (Same as I E 557, M E 557) (3-0) Cr. 3. F. Prereq:
M E 421, programming experience in C. Fundamentals of computer
graphics technology. Data structures. Parametric curve and surface
modeling. Solid model representations. Applications in engineering
design, analysis, and manufacturing.
Cpr E 558. Real-Time Systems. (Dual-listed
with 458.) (3-0) Cr. 3. Prereq: 308 or Com S 352. Fundamental
concepts in real-time systems. Real-time task scheduling paradigms.
Resource management issues in uniprocessor real-time systems, multiprocessor
real-time systems, distributed real-time systems, and real-time
networks. Feedback control real-time scheduling, case study of real-time
system architectures, operating systems, and programming languages.
Cpr E 560. Algorithmic Methodologies in Computer-Aided
Design. (3-0) Cr. 3. Prereq: Experience with any high-level
computer language. Theoretical methods and practical case studies
in the area of computer-aided design for VLSI on the following topics:
essentials of data structures, NP-completeness, graph algorithms,
dynamic programming, linear and nonlinear programming, branch-and-bound
methods, greedy algorithms, backtracking techniques, divide-and-conquer
algorithms, Markov chains.
Cpr E 563. Modeling and Optimization of Interconnect
in Deep Submicron Design. (3-0) Cr. 3. Prereq: 465.
Modeling and optimization techniques for high-performance digital
and analog interconnect designs. RLC extraction. Interconnect modeling:
Elmore delay model, moment computation, asymptotic waveform evaluation,
Pade Via Lanczos, pole analysis, transmission lines. Driver modeling.
Interconnect optimization: topology optimization, device sizing,
wire sizing, buffer insertion, high-performance clock sizing.
Cpr E 564. Synthesis and Optimization of
Digital Circuits. (3-0) Cr. 3. S. Prereq: 305. Algorithms
and techniques to generate application-specific VLSI circuits from
high-level behavioral modeling in hardware description languages.
Hardware models, architectural-level synthesis and optimization,
scheduling algorithms, resource sharing and binding, logic-level
synthesis and optimization, sequential logic optimization, system-level
synthesis, hardware-software co-design.
Cpr E 566. Physical Design of VLSI Systems.
(3-0) Cr. 3. Physical design of VLSI systems. Partitioning algorithms.
Placement and floorplanning algorithms. Routing-global and detailed.
Layout compaction. Physical design of FPGA’s and MCM’s.
Interconnect optimization. Performance-driven layout synthesis.
Cpr E 567. CAD Algorithms for VLSI Design.
(3-0) Cr. 3. Simulation algorithms for VLSI circuits. Formulation
of circuit equations. Transistor-level modeling. Solution of circuit
equations. Transient analysis and sensitivity analysis. Latency
and timing analysis. Logic/timing simulations. Mixed-mode simulation.
Asymptotic waveform evaluation (AWE). Parallel algorithms.
Cpr E 575. Introduction to Virtual Reality.
(3-0) Cr. 3. Prereq: Com S 311 or M E 420. Introduction to
virtual reality concepts and applications. Physiology of the human
perception system, immersive displays, 3-D devices, 3-D sound, real-time
software development, sample applications in science and engineering.
Practical issues in creating effective virtual environments will
be emphasized.
Cpr E 582. Computer Systems Performance.
(3-0) Cr. 3. Prereq: 305, 310. Review of probability and
stochastic processes concepts; Markovian processes; Markovian queues;
renewal theory; semi-Markovian queues; multiprocessor architectures;
computer networks; switching systems.
Cpr E 583. Reconfigurable Computing Systems.
(Same as Com S 583.) (3-0) Cr. 3. Prereq: Background in computer
architecture, design, and organization. Introduction to adaptive/reconfigurable
computing, FPGA technology and architectures, spatial computing
architectures, systolic and bit serial architectures, adaptive network
architectures, bus-based and static dynamic rearrangeable interconnection
structure architectures, reconfigurable computing architectures
for processors, pipeline, and caches.
Cpr E 585. Advanced Computer Architecture.
(Same as Com S 585.) (3-0) Cr. 3. F. Prereq: 305. Quantitative
principles of computer architecture design, instruction set design,
processor architecture: pipelining and superscalar design, instruction
level parallelism, memory organization: cache and virtual memory
systems, multiprocessor architecture, cache coherency, interconnection
networks and message routing, I/O devices and peripherals.
Cpr E 586. Advanced Microprocessor Architecture.
(3-0) Cr. 3. Prereq: 585. Design and analysis of advanced
microprocessor architecture: trends and issues in state-of-the-art
microprocessor design: superscalar, out-of-order dynamic pipeline,
instruction-level parallelism, control; and data speculation, advanced
cache/memory architecture, performance analysis and simulation tools,
and VLSI tradeoffs.
Cpr E 587. Text Mining, Text Processing,
and the Internet. (3-0) Cr. 3. Prereq: 486 or Com S 309
or Com S 311. Mining, retrieval, and other processing of text,
including text and hypermedia on the world wide web. Human computer
interaction in the context of text and hyper media. Topics of particular
interest to enrolled students.
Cpr E 588. Embedded Computer Systems.
(3-0) Cr. 3. Prereq: 308. Design, implementation, and testing
of embedded computer systems. Co-design of hardware and software.
Concurrency, real-time control, hardware/software interfaces, and
error handling.
Cpr E 589. Multimedia Systems. (3-0)
Cr. 3. S. Prereq: 308 or Com S 352. Fundamentals concepts
in multimedia systems. Resource management issues in distributed/networked
multimedia systems, QoS routing and multicasting. Traffic shaping,
Task and message scheduling, Internet QoS. Adaptive multimedia applications
over the Internet. Operating system support for multimedia. Storage
architecture and scalable media servers. Compression techniques,
synchronization techniques, processor architectures for multimedia.
Cpr E 590. Special Topics. Cr. 1 to
6 each time elected. Formulation and solution of theoretical or
practical problems in computer engineering.
Cpr E 592. Seminar in Computer Engineering.
Cr. 1 to 4 each time elected. Prereq: Permission of instructor.
Projects or seminar in Computer Engineering.
Cpr E 594. Selected Topics in Computer Engineering.
(3-0) Cr. 3 each time selected.
Cpr E 599. Creative Component. Cr.
var.
Courses for Graduate Students
Cpr E 626. Parallel Algorithms for Scientific
Applications. (Same as Com S 626.) (3-0) Cr. 3. Prereq:
526. Algorithm design for high-performance computing. Applications
to finite-element and finite difference methods for numerical simulations,
sparse matrix computation, multidimensional tree data structure
and particle-based methods, random numbers and Monte Carlo applications,
algorithms for computational biology.
Cpr E 697. Engineering Internship.
(Same as E E 697.) Cr. R. Prereq: Permission of department chair,
graduate classification. One semester and one summer maximum
per academic year professional work period. Offered on a satisfactory-fail
basis only.
Cpr E 699. Research. Cr. var.
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