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Computer Engineering

About the Program

Bachelor of Science in Computer Engineering (BSCE): 192.0 quarter credits

The major provides a broad focus on digital circuit design, computer hardware and organization, programming and computer software, algorithms, and networks.

Computer engineers design smaller, faster, and more reliable computers and digital systems; embed microprocessors in larger systems (e.g. anti-lock brake systems); work in theoretical issues in computing; use object-oriented programming languages; and design large-scale software systems and computer networks. Computer engineers may work in positions that apply computers in control systems, digital signal processing, telecommunications, and power systems, and may design very large-scale integration (VLSI) integrated circuits and systems.

The computer engineering degree program is designed to provide our students with breadth in engineering, the sciences, mathematics, and the humanities, as well as depth in both software and hardware disciplines appropriate for a computer engineer. It embodies the philosophy and style of the Drexel Engineering Curriculum, and will develop the student's design and analytical skills. In combination with the co-op experience, it opens to the student opportunities in engineering practice, advanced training in engineering or in other professions, and an entry to business and administration.

The computer engineering program's courses in ECE are supplemented with courses from the departments of Mathematics and Computer Science. Students gain the depth of knowledge of computer hardware and software essential for the computer engineer.

Mission Statement

The ECE Department prepares men and women to become leaders working in a highly dynamic and global environment at the forefront of engineering and pursues research to advance the state-of-the-art in electrical and computer engineering and engineering education.

Program Educational Objectives

Program alumni will:

Continue as valued, dependable, and competent employees in a wide variety of fields and industries, in particular as computer engineers.
Succeed in graduate and professional studies, such as engineering, science, law, medicine, and business, if pursued,
Understand the need for life-long learning and continued professional development for a successful and rewarding career,
Accept responsibility for leadership roles, in their profession, in their communities, and in the global society, and
Function as responsible members of society with an awareness of the social ethical ramifications of their work.

Student Outcomes

The department’s student outcomes reflect the skills and abilities that the curriculum is designed to provide to students by the time they graduate. These are:

a) an ability to apply knowledge of mathematics, science, and engineering;

b) an ability to design and conduct experiments, as well as to analyze and interpret data;

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability;

d) an ability to function on multidisciplinary teams;

e) an ability to identify, formulate, and solve engineering problems;

f) an understanding of professional and ethical responsibility;

g) an ability to communicate effectively;

h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context;

i) a recognition of the need for, and an ability to engage in life-long learning;

j) a knowledge of contemporary issues;

k) an ability to use the techniques, skills, and modern engineering tools necessary for computer engineering practice.

Additional Information

The Computer Engineering program is accredited by the EAC Accreditation Commission of ABET, http://www.abet.org.

Additional information about the major is available on the ECE Department website.

Timothy P. Kurzweg, PhD
Associate Professor
Assistant Department Head for Undergraduate Affairs
Department of Electrical and Computer Engineering
Bossone Research Center, Suite 313
3120-40 Market Street
advising@ece.drexel.edu

Amy Ruymann, MS
Assistant Director – Undergraduate Advising
Department of Electrical and Computer Engineering
Bossone Research Center Suite 313
advising@ece.drexel.edu

To make an appointment, please call 215.895.2241
Drop-in hours: Mon - Fri 1:30 - 2:30.

Degree Requirements

General Education/Liberal Studies Requirements
ENGL 101	Expository Writing and Reading	3.0
ENGL 102	Persuasive Writing and Reading	3.0
ENGL 103	Analytical Writing and Reading	3.0
PHIL 315	Engineering Ethics	3.0
UNIV E101	The Drexel Experience	2.0
General Education Requirements ^*		18.0
Foundation Requirements
MATH 121	Calculus I	4.0
MATH 122	Calculus II	4.0
MATH 200	Multivariate Calculus	4.0
PHYS 101	Fundamentals of Physics I	4.0
PHYS 102	Fundamentals of Physics II	4.0
PHYS 201	Fundamentals of Physics III	4.0
CHEM 101	General Chemistry I	3.5
CHEM 102	General Chemistry II	4.5
BIO 141	Essential Biology	4.5
CS 121	Computation Laboratory I	1.0
CS 122	Computation Laboratory II	1.0
CS 123	Computation Laboratory III	1.0
ECE 200	Digital Logic Design	3.0
ECE 201	Foundations of Electric Circuits	3.0
ECE 203	Programming for Engineers	3.0
ENGR 100	Beginning Computer Aided Drafting for Design	1.0
ENGR 101	Engineering Design Laboratory I	2.0
ENGR 102	Engineering Design Laboratory II	2.0
ENGR 103	Engineering Design Laboratory III	2.0
ENGR 201	Evaluation & Presentation of Experimental Data I	3.0
ENGR 202	Evaluation & Presentation of Experimental Data II	3.0
ENGR 220	Fundamentals of Materials	4.0
ENGR 231	Linear Engineering Systems	3.0
ENGR 232	Dynamic Engineering Systems	3.0
Professional Requirements
CS 260	Data Structures	3.0
CS 265	Advanced Programming Tools and Techniques	3.0
ECE 391	Introduction to Engineering Design Methods	1.0
ECE 491 [WI]	Senior Design Project I	2.0
ECE 492 [WI]	Senior Design Project II	2.0
ECE 493	Senior Design Project III	4.0
ECEC 301	Advanced Programming for Engineers	3.0
ECEC 302	Digital Systems Projects	4.0
ECEC 304	Design with Microcontrollers	4.0
ECEC 353	Systems Programming	3.0
ECEC 355	Computer Organization & Architecture	4.0
ECEC 356	Embedded Systems	4.0
ECEC 357	Introduction to Computer Networks	4.0
ECEL 301 [WI]	Electrical Engineering Laboratory	2.0
ECEL 302	ECE Laboratory II	2.0
ECEL 303	ECE Laboratory III	2.0
ECEL 304	ECE Laboratory IV	2.0
ECES 302	Transform Methods and Filtering	4.0
MATH 221	Discrete Mathematics	3.0
ECE 361	Probability for Engineers	3.0
or ECE 362	Engineering Statistics
or ENGR 361	Statistical Analysis of Engineering Systems
Six Computer Engineering Courses		18.0
Free Electives		11.5
Total Credits		192.0

*	General Education Requirements.

Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Center. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

Sample Plan of Study

5 YR Ug Co-op Concentration


Term 1		Credits
CHEM 101	General Chemistry I	3.5
COOP 101	Career Management and Professional Development	0.0
CS 121	Computation Laboratory I	1.0
ENGL 101	Expository Writing and Reading	3.0
ENGR 100	Beginning Computer Aided Drafting for Design	1.0
ENGR 101	Engineering Design Laboratory I	2.0
MATH 121	Calculus I	4.0
UNIV E101	The Drexel Experience	1.0
	Term Credits	15.5
Term 2
CHEM 102	General Chemistry II	4.5
CS 122	Computation Laboratory II	1.0
ENGL 102	Persuasive Writing and Reading	3.0
ENGR 102	Engineering Design Laboratory II	2.0
MATH 122	Calculus II	4.0
PHYS 101	Fundamentals of Physics I	4.0
UNIV E101	The Drexel Experience	0.5
	Term Credits	19.0
Term 3
BIO 141	Essential Biology	4.5
CS 123	Computation Laboratory III	1.0
ENGL 103	Analytical Writing and Reading	3.0
ENGR 103	Engineering Design Laboratory III	2.0
MATH 200	Multivariate Calculus	4.0
PHYS 102	Fundamentals of Physics II	4.0
UNIV E101	The Drexel Experience	0.5
	Term Credits	19.0
Term 4
ECE 200	Digital Logic Design	3.0
ENGR 201	Evaluation & Presentation of Experimental Data I	3.0
ENGR 220	Fundamentals of Materials	4.0
ENGR 231	Linear Engineering Systems	3.0
PHYS 201	Fundamentals of Physics III	4.0
	Term Credits	17.0
Term 5
ECE 201	Foundations of Electric Circuits	3.0
ECE 203	Programming for Engineers	3.0
ENGR 202	Evaluation & Presentation of Experimental Data II	3.0
ENGR 232	Dynamic Engineering Systems	3.0
MATH 221	Discrete Mathematics	3.0
	Term Credits	15.0
Term 6
ECEC 301	Advanced Programming for Engineers	3.0
ECEC 302	Digital Systems Projects	4.0
ECEL 301 [WI]	Electrical Engineering Laboratory	2.0
ECES 302	Transform Methods and Filtering	4.0
General Education elective^*		3.0
	Term Credits	16.0
Term 7
ECEC 304	Design with Microcontrollers	4.0
ECEC 355	Computer Organization & Architecture	4.0
ECEL 302	ECE Laboratory II	2.0
PHIL 315	Engineering Ethics	3.0
Free elective		3.0
	Term Credits	16.0
Term 8
CS 265	Advanced Programming Tools and Techniques	3.0
ECEC 357	Introduction to Computer Networks	4.0
ECEL 303	ECE Laboratory III	2.0
General Education elective^*		3.0
	Term Credits	12.0
Term 9
CS 260	Data Structures	3.0
ECE 391 (Also offered spring term.)	Introduction to Engineering Design Methods	1.0
ECEC 356	Embedded Systems	4.0
ECEC 353	Systems Programming	3.0
ECEL 304	ECE Laboratory IV	2.0
ECE 361, 362, or ENGR 361	Probability for Engineers Engineering Statistics Statistical Analysis of Engineering Systems	3.0
General Education elective^*		3.0
	Term Credits	19.0
Term 10
ECE 491 [WI]	Senior Design Project I	2.0
Two Computer Engineering electives		6.0
General Education elective^*		3.0
Free Elective		3.0
	Term Credits	14.0
Term 11
ECE 492 [WI]	Senior Design Project II	2.0
Two Computer Engineering electives		6.0
General Education elective^*		3.0
Free elective		3.5
	Term Credits	14.5
Term 12
ECE 493	Senior Design Project III	4.0
Two Computer Engineering electives		6.0
General Education elective^*		2.0
Free elective		3.0
	Term Credits	15.0
Total Credit: 192.0

*	See degree requirements.

Co-op/Career Opportunities

Computer engineers work for computer and microprocessor manufacturers; manufacturers of digital devices for telecommunications, peripherals, electronics, control, and robotics; software engineering; the computer network industry; and related fields.A degree in computer engineering can also serve as an excellent foundation to pursue graduate professional careers in medicine, law, business, and government.

Graduates are also pursuing advanced studies in electrical and computer engineering, aerospace engineering, and mechanical engineering at such schools as MIT, Stanford, Princeton, Georgia Institute of Technology, University of California at Berkeley, University of Pennsylvania, and University of Maryland.

Sample Co-Op Experiences

When students complete their co-op jobs, they are asked to write an overview of their experiences.These brief quotes are taken from some recent student reports:

Co-op engineer, electronics manufacturer: "My position consisted mostly of the technical aspect of prototype development. My employer would supply me with a schematic diagram of a new circuit. It was then my responsibility to build the circuit, in breadboard form, power up the circuit, and determine if the circuit was producing the desired outputs or functions. . . . Everyone took time out of their jobs to answer any questions I had, and I was always treated as a member of the team. . . . My supervisor showed a genuine interest in teaching me what I had yet to learn in school. His explanations were down-to-earth and easy to understand. "

Network support technician, commercial laboratory: "I was responsible for the construction, installation, and troubleshooting of network cabling and equipment. Additional responsibilities included: maintenance of the network database, training of additional network personnel, as well as supervision and evaluation of additional large-scale network installations when performed by outside contractors. "

Quality assurance, producer and distributor of music CDs: "I evaluated compact disc test systems and calibration processes. Aided in the work toward ISO-9002 certification for the entire facility as well as for quality assurance through writing procedures and providing training. . . . Gained managerial and supervisory experience from close work with supervisor. . . . Excellent work environment."

Visit the Drexel Steinbright Career Development Center for more detailed information on co-op and post-graduate opportunities.

Dual/Accelerated Degree

Accelerated Program

The Accelerated Program of the College of Engineering provides opportunities for highly talented and strongly motivated students to progress toward their educational goals essentially at their own pace. These options include opportunities for accelerated studies, dual degrees, and combined bachelor's/master's programs.

Primarily through advanced placement, credit by examination, flexibility of scheduling, and independent study, the "fast track" makes it possible to complete the undergraduate curriculum and initiate graduate study in less than the five years required by the standard curriculum.

Dual Degree Bachelor's Programs

With careful planning, students can complete two full degrees in the time usually required to complete one. The double major option works best in closely related areas. For detailed information the student should contact his or her advisor.

Bachelor's/Master's Dual Degree Program

Exceptional students can also pursue a master of science degree in the same period as the bachelor of science.

For more information on these and other options, visit the Department of Electrical and Computer Engineering BS/MS page.

Minor in Computer Engineering

The Computer Engineering minor is designed to provide students from other computer-intensive majors—such as computer science or other engineering majors—with a foundation of knowledge in the hardware portion of computer systems. The minor consists of a minimum of seven ECE courses. There are four required courses and an additional 12.0 credits of elective courses.

Prerequisites

The minor assumes that students will have a background in mathematics, physics, and computer programming equivalent to that covered in the first two years of engineering.

Calculus prerequisites should include MATH 121, MATH 122 and MATH 200. Physics requirements are PHYS 101, PHYS 102 and PHYS 201. Programming experience must include CS 121/CS 122/ CS 123 or CS 171 at the minimum. CS 172, CS 260 and CS 265 are also recommended, and are required for some upper level ECEC courses. Courses taken to meet these requirements will not count toward the minor.

Required Courses
ECE 200	Digital Logic Design	3.0
ECEC 302	Digital Systems Projects	4.0
ECEC 355	Computer Organization & Architecture	4.0
ECEL 304	ECE Laboratory IV (prerequisite waived for minor)	2.0
Electives ^*		12.0
Total Credits		25.0

*	Students should choose an additional 12 credits from 300- and/or 400-level Computer Engineering (ECEC) courses. All prerequisites must be satisfied.

Additional Information

Additional information about this minor is available on the ECE Department website.

Facilities

Drexel University and the Electrical and Computer Engineering Department are nationally recognized for a strong history of developing innovative research. Research programs in the ECE Department prepare students for careers in research and development, and aim to endow graduates with the ability to identify, analyze, and address new technical and scientific challenges. The ECE Department is well equipped with state-of-the-art facilities in each of the following ECE Research laboratories:

Research Laboratories at the ECE Department

Elec & Comp Engr-Computers Courses

ECEC 301 Advanced Programming for Engineers 3.0 Credits

An advanced introduction to classes and objects; inheritance and polymorphism; abstract classes and interfaces; exception handling; files and streams; garbage collection and dynamic memory allocation; recursion; using linked lists, stacks, queues, and trees; search and sorting algorithms; generic methods and classes; a comparative introduction to dominant programming languages; engineering examples.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECE 203 [Min Grade: D] or CS 203 [Min Grade: D]

ECEC 302 Digital Systems Projects 4.0 Credits

Offers hands-on experiences in digital system design with automation tools. Uses field programmable gate arrays in the projects. Some or all pre-requisites may be taken as either a pre-requisite or co-requisite. Please see the department for more information.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: CS 171 [Min Grade: D] (Can be taken Concurrently) or ECE 203 [Min Grade: D] or CS 203 [Min Grade: D]) and ECE 200 [Min Grade: D]

ECEC 304 Design with Microcontrollers 4.0 Credits

Offers hands-on experience in the design of controllers that incorporate microcontrollers as an embedded component in a larger system. The microcomputer topics to be studied will include architecture, software, programming and interfaces.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECE 200 [Min Grade: D] and (CS 171 [Min Grade: D] or ECE 203 [Min Grade: D] or CS 203 [Min Grade: D])

ECEC 352 Secure Computer Systems: Design Concepts 4.0 Credits

Covers concepts of secure computation, including economics vs. faults, errors, and hidden messages; mathematical foundations of secure computing; design issues in fault-tolerant computing; and testability and cryptography.

ECEC 353 Systems Programming 3.0 Credits

This course introduces computer systems, including interaction of hardware and software through the operating system, from the programmer's perspective. Three fundamental abstractions are emphasized: processes, virtual memory, and files. These abstractions provide programmers a common interface to a wide variety of hardware devices. Topics covered include linking, system level I/O, concurrent programming, and network programming.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: CS 265 [Min Grade: D]

ECEC 355 Computer Organization & Architecture 4.0 Credits

This course will cover the principles of designing microprocessors using solid engineering fundamentals and quantitative cost/performance trade-offs. Topics will cover instruction set architectures, arithmetic for computers, assessing and understanding processor performance, processor datapath and control, pipelining, cache design, and virtual-memory design.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (ECE 200 [Min Grade: D] or CS 270 [Min Grade: D]) and ECEC 302 [Min Grade: D]

ECEC 356 Embedded Systems 4.0 Credits

Offers hands-on experience with the Motorola 6812 Microcontroller. Involves embedded software development in C and assembly languages. The course covers timer, pulse width modulation and serial communication subsystems. Lab projects include generation of precise waveforms with specified duty cycles, precise measurement of pulse width, interconnection of two microcontrollers, etc.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 304 [Min Grade: D]

ECEC 357 Introduction to Computer Networks 4.0 Credits

History of the Internet; introduction to packet switching, circuit switching and virtual circuit switching; statistical multiplexing; protocol layering; metrics of network performance including bandwidth, delay and loss; medium access protocols and Ethernet; routing algorithms; end-to-end issues; flow and congestion control; an overview of application layer protocols.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECE 203 [Min Grade: D] or CS 171 [Min Grade: D]

ECEC 390 Special Topics 1.0-4.0 Credit

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEC 411 Computer Hardware 3.0 Credits

Covers the design and performance of computer hardware devices, including direct memory access, priority arbitration, double buffering, and bus standards. Fall.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Senior.
Prerequisites: ECEC 355 [Min Grade: D]

ECEC 412 Modern Processor Design 3.0 Credits

This course introduces modern processor design in a systematic manner. It discusses dynamically scheduled superscalar techniques including multi-issue, dynamic instruction scheduling, speculative execution, and branch prediction; advanced cache designs, and new techniques including SMT and VLIW. The course provides a comprehensive coverage of modern processor architectures.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 355 [Min Grade: D] or CS 281 [Min Grade: D]

ECEC 413 Introduction to Parallel Computer Architecture 3.0 Credits

This course provides an introduction to the fundamental principles and engineering trade-offs involved in designing modern parallel computers (multi-processors). Topics covered include, but are not limited to, shared-memory and message-passing programming, cache-coherence, synchronization, scalable distributed memory multi-processors, and interconnection techniques.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 355 [Min Grade: D] or CS 281 [Min Grade: D]

ECEC 414 High Performance Computing 3.0 Credits

This course is an introduction to high performance computing, including both concepts and applications. Course contents will include discussions of different types of high performance computer architectures (multi-core/multi-threaded processors, parallel computers, etc.), the design, implementation, optimization and analysis of efficient algorithms for uni-processors, multi-threaded processors, and parallel computers, and high performance programming.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 355 [Min Grade: D] or CS 281 [Min Grade: D]

ECEC 421 Introduction to Operating Systems I 3.0 Credits

Covers basic concepts of computer operating systems, including multiprocessing and multiprogramming systems, lock operations, synchronization, and file structures. Winter.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Senior.
Prerequisites: ECEC 355 [Min Grade: D] and CS 260 [Min Grade: D]

ECEC 422 Introduction to Operating Systems I 3.0 Credits

Further develops the topics of ECEC 421. Spring.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEC 421 [Min Grade: D]

ECEC 431 Introduction to Computer Networks 3.0 Credits

Covers topics in computer and telecommunications network design.

ECEC 432 Internet Architecture and Protocols 3.0 Credits

Covers architecture, protocols, and services of the Internet with an analytical approach focused on design principles; Internet architecture and topology; architecture of web and mail servers; router architectures; routing protocols; multicasting; multimedia over IP and associated protocols; Quality-of-Service issues in the Internet.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 357 [Min Grade: D] or CS 472 [Min Grade: D]

ECEC 433 Network Programming 3.0 Credits

Covers application layer protocol and how applications use the transport layer; principles and practice of network programming; the client-server model; concurrent processing; introduction to sockets and related functions client and server software design with examples; principles, issues and challenges in e-mail and web application protocols; security protocols; and network life system concepts.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 357 [Min Grade: D]

ECEC 441 Robotic Computer Interface & Control I 3.0 Credits

Covers fundamentals of robotics systems, including mechanics, actuators, sensors, kinematics, and inverse kinematics. Fall.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Senior.
Prerequisites: ECES 356 [Min Grade: D]

ECEC 442 Robotic Computer Interface & Control II 3.0 Credits

Covers robot dynamics, Lagrangian and Newton Euler methods, linear control of robots, path planning, and computer implementation. Winter.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEC 441 [Min Grade: D]

ECEC 443 Robotic Computer Interface & Control III 3.0 Credits

Covers robot-computer interface methods, including redundancy, optimal control, robustness, nonlinear control, adaptive control, and multiprocessor control. Spring.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEC 442 [Min Grade: D]

ECEC 451 Computer Arithmetic 3.0 Credits

This course provides an introduction to number representations used in computer arithmetic, issues of complexity in arithmetic operations, fixed point arithmetic, floating point arithmetic, and residue number systems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECE 200 [Min Grade: D] and ECEC 355 [Min Grade: D]

ECEC 453 Image Processing Architecture 3.0 Credits

This course covers applications of computing techniques and hardware in image (still and video) processing. Methods of compression (lossless, lossy), video compression, JPEG standards, MPEG standards, processing requirements, and implementations for multimedia.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECE 200 [Min Grade: D] and ECES 302 [Min Grade: D]

ECEC 455 Intelligent System Architectures 3.0 Credits

This course outlines the principles of designing the architectures for intelligent systems. Methods of knowledge representation are compared for a variety of engineering problems. Methods of sensing and behavior generation are demonstrated for applications in large engineering and information systems including autonomous robots. Principles of goal-oriented computers are discussed, and modules of intelligent systems architectures are described. Theoretical fundamentals and practical techniques for learning are also covered.

ECEC 457 Security in Computing 3.0 Credits

The course introduces ideas from Cryptography and Fault Tolerant Computing. Cryptography studies how to artificially create distortions that being interwoven with computations mask them from eavesdropping. Fault Tolerance studies techniques of suppressing effects of natural noises that operate in computation channels. The course deals with both some introductory issues in Public Key Cryptography and some important aspects of designing Fault Tolerant Systems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 451 [Min Grade: D]

ECEC 459 Testing of Hardware 3.0 Credits

Testing has become the largest expense item in the semiconductor industry. There is rapidly being developed new techniques in testing, design for test and built-in self-test because no existing set of techniques can satisfy the existing and future needs. The course reviews, in a unified way, important issues in testing and diagnosis of hardware. Together with the "Security in Computing" course, it brings a design engineer student to the state of the art level in the field.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 457 [Min Grade: D]

ECEC 471 Introduction to VLSI Design 3.0 Credits

This is an introductory course where systematic understanding, design and analysis of digital VLSI integrated circuits will be covered. The course will begin with a review of CMOS transistor operation and semiconductor processes. Logic design with CMOS transistor and circuit families will be described. Specifically, layout, design rules, and circuit simulation will be addressed.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (ECE 200 [Min Grade: D] or CS 270 [Min Grade: D]) and (ECEL 301 [Min Grade: D] and ECEL 302 [Min Grade: D])

ECEC 472 VLSI Design & Automation 3.0 Credits

Design and analysis of VLSI integrated circuits will be covered from circuits and systems design perspectives. First, system timing and arithmetic building blocks will be presented. Then, design automation will be presented by hierarchical design examples using hardware description languages (HDL) and physical design with VLSI CAD tools.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 355 [Min Grade: D] and (ECE 200 [Min Grade: D] or CS 270 [Min Grade: D])

ECEC 473 Modern VLSI IC Design 3.0 Credits

This is a project-oriented course where a high-complexity VLSI design project will be assigned to student teams. Team-work, task assignment and team communication will be mediated in an industry setting. Design tasks will cover the entire IC design flow range, from system specification to TRL description to timing and power analysis.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 472 [Min Grade: D]

ECEC 490 Special Topics in Computer Engineering 12.0 Credits

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Cannot enroll if classification is Freshman

ECEC 497 Research In Computer Engineering 0.5-12.0 Credits

Computer engineering students only. Requires independent research in a field approved by the faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Can enroll if major is CE.

ECEC 499 Independent Study in Computer Engineering 0.5-12.0 Credits

Computer engineering students only. Requires independent study or research in a field approved by the faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Can enroll if major is CE.
Cannot enroll if classification is Freshman or Sophomore

Elec & Computer Engr-Electroph Courses

ECEE 302 Electronic Devices 4.0 Credits

Covers principles of operation of semiconductor devices, including PN diodes, bipolar transistors, and field effect transistors (JFET, MOSFET, MESFET). Applications of PN junctions, including solar cells, led, laser diodes. Laboratories reinforce lecture material by allowing students to build, measure and analyze data from simple devices.

ECEE 304 Electromagnetic Fields & Waves 4.0 Credits

Covers vector calculus, Coulomb's Law, Gauss' Law, Ampere's Law, Maxwell's equations, Electromagnetic (EM) fields in devices, EM fields in circuits, EM fields in machinery, EM waves, biological effects.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: MATH 291 [Min Grade: D]

ECEE 352 Analog Electronics 4.0 Credits

Teaches the fundamentals of electronic circuit analysis and design by means of practical projects, such as a dc power supply and an audio amplifier. Covers design with discrete components as well as integrated circuit design.

ECEE 354 Wireless and Optical Electronics 4.0 Credits

Covers propagation of waves in various media as it relates to wireless communications: reflection, transmission, polarization, wave packets, dispersion, radiation and antennas, microwave electronic devices, optical wave guides, and fiber optics.

ECEE 390 Special Topics 1.0-4.0 Credit

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEE 421 Advanced Electronics I 4.0 Credits

Application-and design-focused course. Analyzes feedback in electronic circuits such as operational amplifiers. Covers design and applications of active filters and other typical electronic circuitry. Includes experiments in the design of multistage transistor circuits, feedback loops, operational amplifiers, and active filters.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 352 [Min Grade: D]

ECEE 422 Advanced Electronic Circuits I 3.0 Credits

Application-and design-focused course. Covers analysis and design of communication circuits and non-linear active circuits; oscillators, mixers, IF and RF amplifiers; and AM and FM modulators.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 421 [Min Grade: D]

ECEE 423 Advanced Electronics Circuits II 3.0 Credits

Application-and design-focused course. Covers non-linear circuits; function and wave form generators; log-amp, multipliers, dividers, power amp, and phase-lock loops; and design of electronics needed to implement different logic circuit families.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 421 [Min Grade: D]

ECEE 434 Digital Electronics 4.0 Credits

Covers basic digital integrated circuit building blocks (inverters, nor and nand logic), CMOS logic gates (dc and transient behavior), drivers, and digital circuits and systems (PLA, gate array, memory). Experiments in semiconductor material characterization, device characterization, circuit and device simulations.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 302 [Min Grade: D]

ECEE 441 Lightwave Engineering I 3.0 Credits

Covers fundamentals of wave propagation, including propagation in various fiber wave guides and field distributions, diffraction, attenuation, dispersion, information capacity, and other analytic and design considerations in fiber systems. Fall.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 304 [Min Grade: D]

ECEE 442 Lightwave Engineering II 3.0 Credits

Covers operating principles, construction, and characteristics of sources, couplers, and detectors used in optical systems. Includes equivalent circuit models and principles of generation, transmission, and reception. Winter.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 441 [Min Grade: D]

ECEE 443 Lightwave Engineering III 3.0 Credits

Covers applications of devices and systems in such areas as data, voice, and image trans-mission; industrial automation; process control; medicine; and computers. Includes basic measurement systems. Spring.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 442 [Min Grade: D]

ECEE 451 Electroacoustics 3.0 Credits

Applications-oriented course. Covers fundamentals of vibrating systems; equations of motion; acoustical, electrical, and mechanical analogs; properties of waves in fluids; acoustic impedance and plane wave transmission; application to design of transducers; and application of acoustic waves in medical imaging, non-destructive testing, and the biomedical field.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Junior.
Cannot enroll if classification is Freshman or Junior or Pre-Junior or Sophomore

ECEE 471 RF Components and Techniques 4.0 Credits

This course covers microwave networks (Z, Y, S, T ABCD Parameters), signal flowgraph, impedance matching techniques (lumped and distributed, quarter wave transformers), circulators and isolators, directional couplers (branch line, Wilkinson, Lange, slot waveguide), and filters (lowpass, bandpass, bandstop, highpass). CAD laboratory and design projects are an integral part of this course.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEE 354 [Min Grade: D]

ECEE 472 RF Electronics 4.0 Credits

This course covers static and dynamic characteristics of transistors, unipolar (MOSFET, MESFET, HEMT), bipolar (BJT, HBT), LNA design and realization, power amplifiers, distributed amplifiers, switches, limiters, phase shifters, detectors, mixers, oscillators (Colpitts, YIG turned, reflection, transmission, DRO). CAD laboratory and design projects are an integral part of this course.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEE 471 [Min Grade: D]

ECEE 473 Antennas and Radiating Systems 4.0 Credits

This course covers short and magnetic dipole, radiation pattern, radiation resistance, directivity and gain, line antennas (dipoles, monopoles, V and inverted V antennas), helix, Yagi-Uda, log-periodic, aperture antennas (slot, horn and reflector), printed circuit antennas (patch and spiral), and phased antennas. CAD laboratory and design projects are an integral part of this course.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEE 471 [Min Grade: D]

ECEE 490 Special Topics in Electrophysics 12.0 Credits

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Cannot enroll if classification is Freshman

ECEE 497 Research in Electrophysics 0.5-12.0 Credits

Requires independent research in a topic approved by the faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEE 499 Independent Study In Electrophysics 0.5-12.0 Credits

Requires independent study in a topic approved by the faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Cannot enroll if classification is Freshman

Elec & Computer Engr-Power Eng Courses

ECEP 352 Electric Motor Control Principles 4.0 Credits

Introduces machinery principles, magnetic circuits, three-phase circuits, the electrical and economic structure of the power industry, ac and dc machine fundamentals, and power electronic converters and their interfaces with electric motors. Some or all pre-requisites may be taken as either a pre-requisite or co-requisite. Please see the department for more information.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 302 [Min Grade: D] (Can be taken Concurrently)(ECE 201 [Min Grade: D] or ECES 211 [Min Grade: D])

ECEP 354 Energy Management Principles 4.0 Credits

Covers principles of power engineering, including the electrical and economic structure of the power industry (distribution, subtransmission, and bulk transmission levels; environmental issues; the electrical system analysis; the thermal system analysis; links between electromechanics and thermodynamics; and safety issues). Some or all pre-requisites may be taken as either a pre-requisite or co-requisite. Please see the department for more information.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEE 302 [Min Grade: D] (Can be taken Concurrently)(ECE 201 [Min Grade: D] or ECES 211 [Min Grade: D])

ECEP 390 Special Topics 1.0-4.0 Credit

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEP 401 Radiation Detection & Control 3.0 Credits

Introduces students to atomic and nuclear physics, basic methods for radiation detection, and the use of detection systems for controlling nuclear power plants.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (MEM 371 [Min Grade: D] and ENGR 210 [Min Grade: D]) or (PHYS 330 [Min Grade: D] and ENGR 210 [Min Grade: D]) or (MEM 371 [Min Grade: D] and PHYS 223 [Min Grade: D]) or (PHYS 330 [Min Grade: D] and PHYS 223 [Min Grade: D])

ECEP 402 Theory of Nuclear Reactors 4.0 Credits

Introduces students to atomic and nuclear physics, radiation interaction with matter, components of nuclear reactors, neutron diffusion and moderation, nuclear reactor theory, and heat removal from nuclear reactors.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ENGR 210 [Min Grade: D]

ECEP 403 Nuclear Power Plant Design & Operation 3.0 Credits

Introduces students to the design of nuclear power plants. Topics covered include electrical transmission, non-nuclear related equipment, fluid flow, heat transfer, thermodynamics, heat exchangers, pump, valves, piping and nuclear reactor design. Course includes a final project which is the design of a nuclear power plant.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEP 404 Introduction to Nuclear Engineering 2.0 Credits

Introduces the fundamental scientific, technical, social and ethical issues in nuclear engineering; nuclear reactions and readiation, radiation protection and control, nuclear energy production and utilization, nuclear fuel cycle, nuclear fuel cycle, nuclear materials, controlled fusion and thermonuclear plasma systems, basics of plasma physics and plasma chemistry, nuclear waste management, nuclear reactor safety, analysis of severe nuclear accidents, risk assessment and related issues of engineering ethics.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: PHYS 201 [Min Grade: D] and (ENGR 210 [Min Grade: D] or CHE 206 [Min Grade: D])

ECEP 406 Introduction to Radiation Health Principles 3.0 Credits

This course is intended to impart radiation safety knowledge to the nuclear engineering student. A fundamental knowledge of radiation safety is critical for all nuclear engineers.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: MEM 371 [Min Grade: D] or ECEP 404 [Min Grade: D]

ECEP 411 Power Systems I 3.0 Credits

Covers elements of engineering theory and practice for the transmission of electric energy in a power system network. Includes transmission line parameters and their evaluation; models of short, medium, and long transmission lines; steady-state load-flow studies; real power/frequency control, and reactive power/voltage controls.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEP 352 [Min Grade: D]

ECEP 412 Power Systems II 4.0 Credits

Covers power system transients, symmetrical components, economic loading of power systems, faults on synchronous machines, short-circuit studies, and transient stability analysis.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEP 411 [Min Grade: D]

ECEP 413 Power Systems III 3.0 Credits

Covers details of planning and design of major electrical power systems, with emphasis on economic, statistical, and technical considerations.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEP 412 [Min Grade: D]

ECEP 421 Modeling and Analysis of Electric Power Distribution Systems 3.0 Credits

Introduction to power distribution systems; balanced and unbalanced systems, component and load modeling, radial and weekly meshed topologies; algorithms for unbalanced power studies including radial and general structure solver.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Senior.

ECEP 422 Power Distribution Automation and Control 3.0 Credits

Focuses on distribution management systems and their application: including optimizing network operation - capacitor placement and control, network reconfiguration, service restoration. Modern solution technologies are addressed.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEP 421 [Min Grade: C]

ECEP 423 Service and Power Quality Distribution Systems 3.0 Credits

Focus on power distribution systems: service and power quality assessment including stat estimation, voltage quality, trouble call analysis, service restoration, component and system reliability assessment.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEP 422 [Min Grade: C]

ECEP 431 Advanced Electromagnetic Energy Conversion I 4.0 Credits

Covers theory and operation of alternating current machinery, with emphasis on design alternatives and the effects of design on performance. Includes construction of machine models from laboratory measurements.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEP 352 [Min Grade: D]

ECEP 432 Advanced Electromagnetic Energy Conversion II 4.0 Credits

Covers dynamic behavior and transient phenomena of rotating machines and the mathematical models used to describe them, generalized machine theory, measurement of parameters for the mathematical models, and measurement of dynamic and transient behavior.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEP 431 [Min Grade: D]

ECEP 441 Protective Relaying 3.0 Credits

Covers operating principles of electromechanical and static relays, fault clearance, and protection of individual parts of a power system. Some or all pre-requisites may be taken as either a pre-requisite or co-requisite. Please see the department for more information.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEP 411 [Min Grade: D] (Can be taken Concurrently)ECEP 352 [Min Grade: D]

ECEP 451 Power Electronic Converter Fundamentals 3.0 Credits

Fundamentals of power electronics that include waveforms, basic power switch properties and magnetic circuits. Introduction to basic power electronic converter circuits: diode and phase-controlled rectifies and inverters; switch-mode converters. Applications to DC and AC power supply systems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEP 352 [Min Grade: D]

ECEP 452 Experimental Study of Power Electronic Converters 3.0 Credits

Experimental study of common power electronic converters: diode rectifiers, phase-controlled rectifies, switch-mode inverters. Both hardware and software studies. Additional lectures on: Study of DC-DC switch-mode converters.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEP 451 [Min Grade: D]

ECEP 453 Applications of Power Electronic Converters 3.0 Credits

Provides a first look at various power electronic applications in residential, commercial and industrial sites. Examples include utility application such as static var compensators (SVC), thyristor switch capacitors (TSC), high voltage direct-current (HVDC) transmission systems among others. In addition, fundamentals of motor drives and their controls are covered. Examples include induction, DC synchronous and specialized motors.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEP 451 [Min Grade: D]

ECEP 461 High Voltage Laboratory 1.0 Credit

Requires students to perform four basic experiments to become familiar with high-voltage techniques and then do a high-voltage design project of their own choosing.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEP 352 [Min Grade: D]

ECEP 471 Power Seminar I 0.5 Credits

Discusses current developments in power system operation and research, concentrating on current and future energy sources.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman

ECEP 472 Power Seminar II 0.5 Credits

Discusses current developments in power system operation and research, concentrating on generating stations, transmission lines, and substations.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman

ECEP 473 Power Seminar III 0.5 Credits

Discusses current developments in power system operation and research, concentrating on distribution, security, and economics.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman

ECEP 490 Special Topics in Power Engineering 12.0 Credits

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Cannot enroll if classification is Freshman

ECEP 497 Research in Power Systems 0.5-12.0 Credits

Requires independent study in a topic approved by the faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEP 499 Independent Study In Power Engineering 0.5-12.0 Credits

Requires independent study in a topic approved by the faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Cannot enroll if classification is Freshman

Elec & Computer Engr-Systems Courses

ECES 201 Introduction to Audio-Visual Signals 4.0 Credits

This introductory engineering course will focus on the digital signal representations commonly used in prevailing entertainment media: audio, images, and video. It will explore how each medium is represented digitally and convey the signal processing concepts used in storing, manipulating, transmitting, and rendering such content. The goal of the course is to provide non-engineering students with a fundamental understanding of core digital signal processing methods.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: MATH 122 [Min Grade: D]

ECES 302 Transform Methods and Filtering 4.0 Credits

Covers the Fourier series and the Fourier transform, sinusoidal steady-state analysis and filtering, discrete-time systems and the Z-transform, discrete Fourier transform, network functions and stability, magnitude, phase, poles and zeroes, Nyquist criterion, the Nyquist plot and root loci, stability of one-ports, sensitivity, worst-case design and failure-tolerance.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: (TDEC 221 [Min Grade: D] or ENGR 232 [Min Grade: D] or MATH 262 [Min Grade: D] or MATH 210 [Min Grade: D]) and ECE 201 [Min Grade: D]

ECES 304 Dynamic Systems and Stability 4.0 Credits

Covers linear time-invariant circuits and systems; two-and multi-terminal resistors, operational-amplifier circuits, first-order circuits, linear and nonlinear second-order systems, state equation and state variables, eigenvalues and eigenvectors, zero-input response, qualitative behavior of x'=Ax (stability and equilibria), qualitative behavior of x'=f(x), phase portraits, equilibrium states.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 302 [Min Grade: D]

ECES 306 Analog & Digital Communication 4.0 Credits

Covers signal sampling and reconstruction; modulation, angle modulation; digital communications systems, digital transmission.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 302 [Min Grade: D]

ECES 352 Introduction to Digital Signal Process 4.0 Credits

Covers discrete-time signals, analog-digital conversion, time and frequency domain analysis of discrete-time systems, analysis using Z-transform, introduction to digital filters, discrete-time Fourier transform, Discrete Fourier Transform (DFT), and Fast Fourier Transform (FFT).

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 302 [Min Grade: D]

ECES 354 Wireless, Mobile & Cellular Communications 4.0 Credits

Covers concepts of wireless systems; propagation effects, including loss, dispersion, fading, transmission, and reception; mobile systems, including design of base units and mobile units; micro cells and pico cells; cell division, including frequency use and reuse; concepts of FDMA, TDMA, and CDMA; error rates and outage probability; and circuits and components for wireless and mobile systems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 306 [Min Grade: D]

ECES 356 Theory of Control 4.0 Credits

Covers the foundations of control theory. Includes experiments and demonstrations during lectures and labs that may be jointly held, taking advantage of multimedia and computer-controlled apparatus.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 304 [Min Grade: D]

ECES 358 Computer Control Systems 4.0 Credits

Reviews principles of applications of computer control systems to a variety of industries and technologies, including manufacturing processes, robotic cells, machine cells, chemical processes, network control, investment portfolio control, and real-time expert and learning systems for diagnostics and quality control.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 356 [Min Grade: D]

ECES 390 Special Topics 1.0-4.0 Credit

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECES 411 Convex Optimization in Engineering Systems 3.0 Credits

Covers fundamental of convex optimization including convex sets, convex functions, linear and nonlinear constraints, complementary slackness, Lagrange multipliers, Lagrangian duality, and quadralic programming. Focuses on applications (e.g., signal processing, communications, computer networking, and portfolio management). Focuses on use of Matlab or equivalent software.

ECES 412 Simulation of Stochastic Engineering Systems 3.0 Credits

Covers algorithms for generation of pseudo-random numbers, generation of random variates using the inverse transform, acceptance rejection techniques, Monte Carlo simulation, basics of point and interval estimation and hypothesis testing. Coverage of Markov chains, Markov chain Monte Carlo, Metropolis algorithm, simulated annealing, as time permits. Applications include computer networks, statistical physics, derivative pricing. Focus on use of Matlab or equivalent software.

ECES 413 Strategies for Repeated Games 3.0 Credits

Covers the gambler’s ruin problem, optimality of bold play for subfair games, the Martingale betting system, Kelly betting and the maximum growth rate in superfair games, the multi-armed bandit and it generalizations, Parrondo’s paradox for coupled subfair games, basics of auction theory. Focus on use of Matlab or equivalent software.

ECES 421 Communications I 3.0 Credits

Covers analog communications, including linear modulation methods (AM, DSB, SSB), exponential modulation (FM, PM), and noise effects on analog communication systems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 306 [Min Grade: D]

ECES 422 Communications II 3.0 Credits

Covers analog (PAM, PPM) and digital (PCM, DM) pulse modulation systems, entropy, source coding, and channel coding.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 421 [Min Grade: D]

ECES 423 Communications III 3.0 Credits

Covers digital transmission systems, baseband and passband, spread-spectrum communications, and basics of wireless and mobile systems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 422 [Min Grade: D]

ECES 434 Applied Digital Signal Processing 4.0 Credits

This course explores digital signal processing (DSP) concepts through the context of current applications, which range from video encoding to human genome analysis. Topics such as sampling, aliasing, and quantization, are considered in terms of the constraints of particular applications. Discrete-time linear systems, frequency-domain analysis, and digital filtering using Discrete Fourier Transform are examined in-depth and realized through application-specific lab projects.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 352 [Min Grade: D]

ECES 435 Recent Advances in Digital Signal Processing 4.0 Credits

Digital signal processing algorithms once thought to be impractical are now implemented in devices, such as household appliances & mobile phones. This course explores the computationally-intensive DSP methods including short-time linear prediction, cepstral analysis, and complex phase reconstruction as well as alternative signal representations and transforms, including the Hilbert, Chirp, and Discrete Cosine Transforms. Laboratory projects will focus on the implementation of these methods.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 352 [Min Grade: D]

ECES 436 Multi-disciplinary Digital Signal Processing 4.0 Credits

The applications of digital signal processing (DSP) span a wide range of problem domains and disciplines. This course explores the multi-disciplinary aspects of DSP by focusing on a core set of common methods applicable to problems in many fields, such as periodicity detection, signal and power spectrum estimation, and data modeling. Laboratory projects will utilize experiments drawn from a diversity of fields, including medicine, music analysis, image processing,voice/data communications and robotics.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 352 [Min Grade: D]

ECES 444 Systems and Control I 4.0 Credits

This course reviews classical control: analysis and design, state space approach to systems analysis and control; Eigenvalue/Eigenvector analysis, model decomposition, state space solutions and Cayley-Hamilton technique and applications.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 356 [Min Grade: D]

ECES 445 Systems and Control II 4.0 Credits

This course covers Eigenvector single-value decomposition and modal decomposition; controllability, observability and Kalman canonical forms; state controllers and observers and the separation principle.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 444 [Min Grade: D]

ECES 446 Systems and Control III 4.0 Credits

This course covers linear quadratic control, non-linear stability and analysis. Current topics in control include Robust, H-infinity, and Fuzzy Control concepts.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 445 [Min Grade: D]

ECES 490 Special Topics in Systems Engineering 12.0 Credits

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Cannot enroll if classification is Freshman

ECES 497 Research in Systems Engineering 0.5-12.0 Credits

Electrical engineering students only. Requires independent research in a topic approved by the faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit
Restrictions: Cannot enroll if classification is Freshman

ECES 499 Supervised Study in Systems Engineering 0.5-20.0 Credits

Requires independent study in a topic approved by the faculty.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman

Electrical & Computer Engr Courses

ECE 101 Electrical and Computer Engineering in the Real World 1.0 Credit

This seminar introduces students to highly visible and compelling applications of ECE through the use of familiar real-world applications. The course will highlight some of the high-impact advances of ECE and the importance of ECE in our daily lives. Fundamental concepts, such as electricity, light, computing, networking, and signal processing will be introduced in this context and explained at an introductory level. This course is intended to inspire students to pursue ECE and will lead them directly into ECE 102.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECE 102 Applications of Electrical and Computer Engineering 2.0 Credits

Introduces the basic fundamentals of ECE through the use of real-world applications. The course will introduce Signals and Systems, Analog electronic basics, as well as Digital numbers and systems. The course will introduce students to basic ECE material, preparing the students for ECE 200 and ECE 201.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECE 121 Introduction to Entertainment Engineering 3.0 Credits

This introductory survey course will focus on the four prevailing entertainment media: music, images, video, and games. We will explore how each medium is represented digitally and reveal the technologies used to capture, manipulate and display such content. Technical standards used in everyday entertainment devices (mp3, H.264, JPEG 1080p, HDMI) will be explained in layman's terms. The goal is to provide students with technical literacy for using digital media.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECE 190 Special Topics 1.0-4.0 Credit

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECE 200 Digital Logic Design 3.0 Credits

Number systems and representation, two's complement arithmetic, digital logic devices, switching algebra, truth tables, minimization of Boolean functions, combinational logic design and analysis, sequential circuit analysis and design.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: CS 170 [Min Grade: D] or TDEC 132 [Min Grade: D] or CS 171 [Min Grade: D] or ENGR 103 [Min Grade: D] or ENGR 104 [Min Grade: D]

ECE 201 Foundations of Electric Circuits 3.0 Credits

Covers basic electric circuit concepts and laws; circuit theorems; mesh and node methods; analysis of first-and second-order electric circuits; force and natural response; sinusoidal steady state analysis; complex frequency.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if major is CAE or classification is Freshman
Prerequisites: PHYS 211 [Min Grade: D] or TDEC 115 [Min Grade: D] or PHYS 281 [Min Grade: D] or PHYS 102 [Min Grade: D]

ECE 203 Programming for Engineers 3.0 Credits

Fundamentals of computer organization; rudiments of programming including data types, arithmetic and logical expressions, conditional statements, control structures; problem solving techniques for engineers using programming; object-oriented programming; arrays; simulation of engineering systems; principles of good programming practice.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman

ECE 211 Electrical Engineering Principles 3.0 Credits

Not open to electrical or mechanical engineering students. Covers basic techniques of electric circuit analysis, electronic devices, amplifiers, operational amplifier, and fundamentals of instrumentation.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if major is EE or major is MECH or classification is Freshman
Prerequisites: (MATH 201 [Min Grade: D] or ENGR 231 [Min Grade: D] or MATH 261 [Min Grade: D]) and (PHYS 211 [Min Grade: D] or PHYS 281 [Min Grade: D] or PHYS 102 [Min Grade: D])

ECE 212 Electrical Engineering Principles Laboratory 1.0 Credit

Not open to electrical or mechanical engineering students. Includes experiments involving concepts discussed in ECE 211.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if major is EE or major is MECH or classification is Freshman

ECE 290 Special Topics 1.0-4.0 Credit

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECE 361 Probability for Engineers 3.0 Credits

This course will cover topics related to probability including sample space and probability; discrete and general random variables; expectation, variance, covariance, correlation, conditional expectation, conditional variance; the weak and strong law of large numbers and the central limit theorem.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ENGR 202 [Min Grade: D] and (ENGR 231 [Min Grade: D] or MATH 261 [Min Grade: D])

ECE 362 Engineering Statistics 3.0 Credits

This course will cover engineering statistics topics including properties of a random sample; principles of data reduction; point estimation; hypothesis testing; interval estimation and linear regression.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (ENGR 202 [Min Grade: D] and ENGR 231 [Min Grade: D]) or (ENGR 202 [Min Grade: D] and MATH 261 [Min Grade: D])

ECE 390 Special Topics 1.0-4.0 Credit

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECE 391 Introduction to Engineering Design Methods 1.0 Credit

Introduces the design process, including information retrieval, problem definition, proposal writing, patents, and design notebooks. Includes presentations on problem areas by experts from industry, government, and education.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECE 491 [WI] Senior Design Project I 2.0 Credits

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Senior.

ECE 492 [WI] Senior Design Project II 2.0 Credits

Continues ECE 491. Requires written and oral progress reports. This is a writing intensive course.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Senior.
Prerequisites: ECE 491 [Min Grade: D]

ECE 493 Senior Design Project III 4.0 Credits

Continues ECE 492. Requires written and oral final reports, including oral presentations by each design team at a formal Design Conference open to the public and conducted in the style of a professional conference.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is Senior.
Prerequisites: ECE 492 [Min Grade: D]

Electrical Engineering Lab Courses

ECEL 301 [WI] Electrical Engineering Laboratory 2.0 Credits

Offers laboratory experiences in each of the five ECE tracks: computers, controls/robotics, electronics, power and energy, and telecommunications. Each lab consists of a stand-alone module containing: lecture material providing basic theory, references, and laboratory experiments. This is a writing intensive course.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECE 200 [Min Grade: D] and ECE 201 [Min Grade: D] and (TDEC 132 [Min Grade: D] or TDEC 133 [Min Grade: D] or ENGR 104 [Min Grade: D] or ENGR 103 [Min Grade: D])

ECEL 302 ECE Laboratory II 2.0 Credits

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECES 302 [Min Grade: D] (Can be taken Concurrently)ECEL 301 [Min Grade: D]

ECEL 303 ECE Laboratory III 2.0 Credits

Covers basic digital signal processing concepts, an introduction to analog-to-digital and digital-to-analog converters, and power supply design using analog IC devices.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Restrictions: Cannot enroll if classification is Freshman
Prerequisites: ECEL 301 [Min Grade: D]

ECEL 304 ECE Laboratory IV 2.0 Credits

This course offers laboratory experience, using both modeling software and digital and analog hardware relevant to both electrical and computer engineers. Multi-week design projects and design teams are used to prepare students for Senior Design work.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEL 303 [Min Grade: D]

ECEL 311 ECE Laboratory Methods I 3.0 Credits

Introduces students to MATLAB and PSpice, industry standard CAD software for electronics (analog and digital) and systems engineers. Solve DC bias, DC sweep, AC sweep, and transient problems in PSpice and MATLAB. Build and design simple digital circuits.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECE 200 [Min Grade: D] and ECE 201 [Min Grade: D] and ENGR 103 [Min Grade: D]

ECEL 312 ECE Laboratory Methods II 3.0 Credits

Covers introduction to transistor circuits, PSpice simulations of active devices, transfer function analysis, Bode analysis, active filter analysis and design. Programming and use of Microprocessors and/or FPGA. Perform measurements on devices and circuits.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEL 301 [Min Grade: D] or ECEL 311 [Min Grade: D]

ECEL 401 Lightwave Engineering Laboratory 3.0 Credits

Teaches fundamentals of interaction of light with matter. Waves and photons. nterference and diffraction. Optical fibers and free-space optics. Introduces students to optical communication and imaging.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (ECEL 301 [Min Grade: D] and ECEL 302 [Min Grade: D] and ECEE 302 [Min Grade: D]) or (ECEL 311 [Min Grade: D] and ECEL 312 [Min Grade: D] and ECEE 304 [Min Grade: D])

ECEL 402 Nano-Photonics Laboratory 3.0 Credits

Teaches a fundamental knowledge of nanophotonic materials, devices, and applications in a hands-on laboratory setting. Introduces students to photonic bandgaps, photonic crystals, optical sensing methods, holography methods and materials, concepts of surface plasmons and Plasmon resonance.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (ECEL 301 [Min Grade: D] and ECEL 302 [Min Grade: D] and ECEE 304 [Min Grade: D]) or (ECEL 311 [Min Grade: D] and ECEL 312 [Min Grade: D] and ECEE 304 [Min Grade: D])

ECEL 403 Bio-Photonics Laboratory 3.0 Credits

Teaches the fundamentals of the interaction of light with matter. Introduces students to different types of optical detection for biomedical applications,Quantized states of matter, Energy levels of atoms and molecules, Absorption, Scattering, Fluorescence, Imaging of cells and molecules, Spectroscopy, and Cancer precursors.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (ECEL 301 [Min Grade: D] and ECEL 302 [Min Grade: D] and ECEE 304 [Min Grade: D]) or (ECEL 311 [Min Grade: D] or ECEL 312 [Min Grade: D] or ECEE 304 [Min Grade: D])

ECEL 404 Software Defined Radio Laboratory 3.0 Credits

This course introduces students to the concept of software defined radio using the USRP hardware platform and GNU Radio software. Functional blocks of wireless communications systems will be discussed, programmed in Python, and tested on hardware.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (ECEL 301 [Min Grade: D] and ECEL 302 [Min Grade: D] and ECES 302 [Min Grade: D]) or (ECEL 311 [Min Grade: D] and ECEL 312 [Min Grade: D] and ECES 302 [Min Grade: D])

ECEL 405 Digital Systems Laboratory 3.0 Credits

Students will gain practical knowledge of digital systems and signal processing by designing, simulating, constructing, testing and refining a digital audio recording system.

ECEL 407 General Purpose GPU Programming 3.0 Credits

This course will teach students how to develop parallel algorithms for the GPU and implement them using the CUDA progamming interface.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: (ECEL 301 [Min Grade: D] and ECEL 302 [Min Grade: D] and ECEC 301 [Min Grade: D] and ECEC 355 [Min Grade: D]) or (ECEL 311 [Min Grade: D] and ECEL 312 [Min Grade: D] and ECEC 301 [Min Grade: D] and ECEC 355 [Min Grade: D])

ECEL 490 Special Topics 1.0-4.0 Credit

Provides special courses offered because of particular student or faculty interest.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

Electrical and Computer Engineering Faculty

Fernand Cohen, PhD (Brown University). Professor. Surface modeling; tissue characterization and modeling; face modeling; recognition and tracking.

Kapil Dandekar, PhD (University of Texas-Austin) Director of the Drexel Wireless Systems Laboratory (DWSL); Associate Dean of Research, College of Engineering. Associate Professor. Cellular/mobile communications and wireless LAN; smart antenna/MIMO for wireless communications; applied computational electromagnetics; microwave antenna and receiver development; free space optical communication; ultrasonic communication; sensor networks for homeland security; ultrawideband communication.

Afshin Daryoush, ScD (Drexel University). Professor. Digital and microwave photonics; nonlinear microwave circuits; RFIC; medical imaging.

Bruce A. Eisenstein, PhD (University of Pennsylvania) Interim Dean, College of Engineering. Professor. Pattern recognition; estimation; decision theory.

Adam K. Fontecchio, PhD (Brown University) Electrical and Computer Engineering. Associate Professor. Electro-optics; remote sensing; active optical elements; liquid crystal devices.

Gary Friedman, PhD (University of Maryland-College Park). Professor. Biological and biomedical applications of nanoscale magnetic systems.

Eli Fromm, PhD (Jefferson Medical College) Roy A. Brothers University Professor / Director for Center of Educational Research. Professor. Engineering education; academic research policy; bioinstrumentation; physiologic systems.

Edwin L. Gerber, PhD (University of Pennsylvania) Assistant Department Head for Evening Programs. Professor. Computerized instruments and measurements; undergraduate engineering education.

Allon Guez, PhD (University of Florida). Professor. Intelligent control systems; robotics, biomedical, automation and manufacturing; business systems engineering.

Mark Hempstead, PhD (Harvard University) Junior Colehower Chair. Assistant Professor. Computer engineering; power-aware computing; computer architecture; low power VLSI Design; wireless sensor networks.

Peter R. Herczfeld, PhD (University of Minnesota) Lester A. Kraus Professor/Director, Center for Microwave/Lightwave Engineering. Professor. Lightwave technology; microwaves; millimeter waves; fiberoptic and integrated optic devices.

Leonid Hrebien, PhD (Drexel University) Graduate Advisor and Assistant Department Head for Graduate Affairs. Professor. Tissue excitability; acceleration effects on physiology; bioinformatics.

Paul R. Kalata, PhD (Illinois Institute of Technology). Associate Professor. Stochastic and adaptive control theory; identification and decision theory; Kalman filters.

Moshe Kam, PhD (Drexel University) Robert G. Quinn Professor of Electrical and Computer Engineering and Department Head. Professor. Decision fusion and sensor fusion; mobile robots (especially robot navigation); pattern recognition (especially in handwriting applications); optimization and control.

Nagarajan Kandasamy, PhD (University of Michigan). Associate Professor. Embedded systems, self-managing systems, reliable and fault-tolerant computing, distributed systems, computer architecture, and testing and verification of digital systems.

Bruce Katz, PhD (University of Illinois). Adjunct Professor. Speech communication and computer science; artificial intelligence.

Youngmoo Kim, PhD (MIT). Associate Professor. Audio and music signal processing, voice analysis and synthesis, music information retrieval, machine learning.

Timothy P. Kurzweg, PhD (University of Pittsburgh). Associate Professor. Optical MEM modeling and simulation; system-level simulation; computer architecture.

Karen Miu, PhD (Cornell University). Professor. Power systems; distribution networks; distribution automation; optimization; system analysis.

Bahram Nabet, PhD (University of Washington) Associate Dean for Special Projects, College of Engineering; Electrical and Computer Engineering. Professor. Optoelectronics; fabrication and modeling; fiber optic devices; nanoelectronics; nanowires.

Prawat Nagvajara, Ph.D. (Boston University). Associate Professor. System on a chip; embedded systems; power grid computation; testing of computer hardware; fault-tolerant computing; VLSI systems; error control coding.

Dagmar Niebur, Ph.D. (Swiss Federal Institute of Technology). Associate Professor. Intelligent systems; dynamical systems; power system monitoring and control.

Chika Nwankpa, PhD (Illinois Institute of Technology). Professor. Power system dynamics; power electronic switching systems; optically controlled high power switches.

Karkal S. Prahbu, PhD (Harvard University). Auxiliary Professor. Computer and software engineering; advanced microprocessors and distributed operating systems.

Gail L. Rosen, PhD (Georgia Institute of Technology). Assistant Professor. Signal processing, signal processing for biological analysis and modeling, bio-inspired designs, source localization and tracking.

Kevin J. Scoles, PhD (Dartmouth College) Associate Dean, College of Engineering, Office of Student Services. Associate Professor. Microelectronics; electric vehicles; solar energy; biomedical electronics.

Harish Sethu, PhD (Lehigh University). Associate Professor. Protocols, architectures and algorithms in computer networks; computer security; mobile ad hoc networks; large-scale complex adaptive networks and systems.

P. Mohana Shankar, PhD (Indian Institute of Technology) Allen Rothwarf Professor of Electrical and Computer Engineering. Professor. Wireless communications; biomedical ultrasonics; fiberoptic bio-sensors.

Baris Taskin, PhD (University of Pittsburgh). Associate Professor. Electronic design automation (EDA) of integrated circuits, high-performance VLSI circuits and systems, sequential circuit timing and synchronization, system-on-chip (SOC) design, operational research, VLSI computer-aided design.

Lazar Trachtenberg, DSc (Israel Institute of Technology). Professor. Fault tolerance; multi-level logic synthesis; signal processing; suboptimal filtering.

Oleh Tretiak, ScD (MIT) Robert C. Disque Professor of Electrical and Computer Engineering. Professor. Image processing; tomography; image registration; pattern recognition.

John MacLaren Walsh, PhD (Cornell University). Assistant Professor. Performance and convergence of belief/expectation propagation and turbo decoding/equalization/synchronization, permeation models for ion channels, composite adaptive systems theory.

Steven Weber, PhD (University of Texas-Austin) Assistant Department Head for Graduate Affairs, Electrical and Computer Engineering. Associate Professor. Mathematical modeling of computer and communication networks, specifically streaming multimedia and ad hoc networks.

Jaudelice Cavalcante de Oliveira, PhD (Georgia Institute of Technology). Associate Professor. Next generation Internet; quality of service in computer communication networks; wireless networks.

Interdepartmental Faculty

Dov Jaron, PhD (University of Pennsylvania) Calhoun Distinguished Professor of Engineering in Medicine. Professor. Mathematical, computer and electromechanical simulations of the cardiovascular system.

Jeremy R. Johnson, PhD (Ohio State University). Professor. Computer algebra; parallel computations; algebraic algorithms; scientific computing.

John Lacontora, PhD (New Jersey Institute of Technology). Associate Teaching Professor. Service engineering; industrial engineering.

Ryszard Lec, PhD (University of Warsaw Engineering College). Professor. Biomedical applications of visoelastic, acoustoptic and ultrasonic properties of liquid and solid media.

Spiros Mancoridis, PhD (University of Toronto) Interim Department Head, Computer Science. Professor. Software engineering; software security; code analysis; evolutionary computation.

Karen Moxon, PhD (University of Colorado). Associate Professor. Cortico-thalamic interactions; neurobiological perspectives on design of humanoid robots.

Paul Y. Oh, PhD (Columbia University) Associate Department Head for External Affairs, Department of Mechanical Engineering and Mechanics. Associate Professor. Smart sensors servomechanisms; machine vision and embedded microcomputers for robotics and mechatronics.

Banu Onaral, Ph.D. (University of Pennsylvania) H.H. Sun Professor / Director, School of Biomedical Engineering Science and Health Systems. Professor. Biomedical signal processing; complexity and scaling in biomedical signals and systems.

Kambiz Pourrezaei, PhD (Rensselaer Polytechnic University). Professor. Thin film technology; nanotechnology; near infrared imaging; power electronics.

William C. Regli, PhD (University of Maryland-College Park) Computer Science Department. Professor. Artificial intelligence; computer graphics; engineering design and Internet computing.

Arye Rosen, PhD (Drexel University) Biomedical Engineering and Electrical Engineering. Microwave components and subsystems; utilization of RF/microwaves and lasers in therapeutic medicine.

Jonathan E. Spanier, PhD (Columbia University). Associate Professor. Electronic, ferroic and plasmonic nanostructures and thin-film materials and interfaces; scanning probe microscopy; laser spectroscopy, including Raman scattering.

Aydin Tozeren, PhD (Columbia University) Distinguished Professor and Director, Center for Integrated Bioinformatics, School of Biomedical Engineering, Science & Health Systems. Professor. Breast cell adhesion and communication, signal transduction networks in cancer and epithelial cells; integrated bioinformatics, molecular profiling, 3D-tumors, bioimaging.

Aspasia Zerva, PhD (University of Illinois). Professor. Earthquake engineering; mechanics; seismicity; probabilistic analysis.

Emeritus Faculty

Richard L. Coren, PhD (Polytechnic Institute of Brooklyn). Professor Emeritus. Electromagnetic fields, antennas, shielding, RFI, cybernetics of evolving systems.

Robert Fischl, PhD (University of Michigan) John Jarem Professor Emeritus / Director, Center for Electric Power Engineering. Professor Emeritus. Power: systems, networks, controls, computer-aided design, power systems, solar energy.

Vernon L. Newhouse, PhD (University of Leeds) Disque Professor Emeritus. Professor Emeritus. Biomedical and electrophysics: ultrasonic flow measurement, imaging and texture analysis in medicine, ultrasonic nondestructive testing and robot sensing, clinical engineering.

Hun H. Sun, PhD (Cornell University) Ernest O. Lange Professor Emeritus. Professor Emeritus. Systems and signals in biomedical control systems.