Rensselaer Catalog
School of Engineering
Electrical, Computer and Systems Engineering

Chair    Kenneth A. Connor (Acting)
Curriculum Chair   A. Bruce Carlson
Director of Master’s Programs   Yannick L. LeCoz
Director of Doctoral Programs   Alan A. Desrochers
Department Home Page   http://www.ecse.rpi.edu/ECSE/index.htm

Electrical, computer, and systems engineers have been at the forefront of new discoveries and their integration into advanced design and engineering methodologies. Inventions in areas such as integrated electronics and optical devices stimulate innovations in computers, control, and communications. New systems theory and mathematical techniques are then needed for analysis and design work.

As a broad-based department, Electrical, Computer, and Systems Engineering (ECSE) offers several advantages for undergraduate and graduate study. One is the ability to attack the many facets of modern problems that cut across disciplinary lines. Another advantage is the flexibility for students to embark on individually tailored programs and for the department to launch new areas of research.


Programs of Study

The department offers programs leading to bachelor’s, master’s, and doctoral degrees in electrical engineering and in computer and systems engineering. Each curriculum is sufficiently flexible to accommodate a wide range of interests. The curriculum the student selects is determined by his or her specific interests and, in some cases, by directions within a field of interest.

Electrical Engineering   Traditionally the largest and most diverse in all of engineering, this curriculum offers courses with various degrees of emphasis on theory, design, experimental work, and computer simulation. Subject matter ranges from semiconductors and electromagnetics to circuits and electronics, and to large-scale control, computer, communication, and information processing systems.

Computer and Systems Engineering   This field is one of the fastest-growing branches of engineering. Strong course sequences in software, hardware, and systems engineering are available. Students consider the digital computer as a system in itself, as a tool for modeling and design, and as an on-line element within a real-time system. There is the flexibility to study in depth automatic control, communications, or information processing, in addition to computer software, systems, and hardware.


Areas of Advanced Study and Research

Research programs are conducted in six major areas described below.

Control, Robotics, and Automation   Current research projects address both the theory and application of control. Faculty interest in control theory includes adaptive control, large-scale systems, optimization, multivariable control, robust control, nonlinear control, model reduction, and discrete event systems. Design results are applied to robotics, advanced automation systems, flexible manufacturing, human physiology, large space structures, power systems, semiconductor systems, and material processing systems.

In robotics research, the focus is on intelligent robotic systems. Such systems represent a class of autonomous machines that can perform human-like functions with or without human interaction. They are fundamental for activities too hazardous for humans or too distant or complex for remote telemanipulation. This research is instrumental in advancing the theory of intelligent control with applications to systems of robotic arms. A robotic transporter with two arm manipulative capabilities, stereo vision, and tactile sensing, and connected to a Sun workstation network, has been developed.

The design of controllers of large-scale systems is highly complex. Research is being performed on the design of low-order, structurally constrained robust controllers using iterative methods and convex programming techniques. The emphasis is also being given to linear and nonlinear model reduction methods. Applications to power systems, aircraft engines, and flexible structures are being considered, together with the development of control-aided design software.

In view of the wide availability of low-cost, highly reliable microcomputers and workstations that can be used for both control systems design and control system synthesis, increased emphasis has been placed on the design of implementable digital adaptive control logic that can be used for maintaining uniform qualities in an aircraft or other systems, despite large variations in the parameters that define the system dynamic equations. Such adaptive control algorithms have been developed and applied to a wide range of applications, including robotics, blood pressure control, large flexible systems, and flight control systems.

Discrete event systems theory is an emerging discipline relevant to communication protocols and parallel computing as well as manufacturing control. Petri net and formal language theory are being developed to model, design, analyze, evaluate performance, and control such interconnected systems. Important issues are deadlock avoidance, synchronization, concurrency, resource allocation, and random events. Applications under study are manufacturing automation and integration and task coordination for cooperating robotic systems.

All dynamic systems are fundamentally nonlinear. The nonlinearity can be either treated as a perturbation of a nominally linear system or directly taken into account in a nonlinear control design. In the first approach, linear control designs have been developed under various performance and robustness specifications. In the second approach, various nonlinear control strategies have been developed based on the Lyapunov theory, optimal control, and predictive control. There are currently various research projects applying these tools in simulation and experimentation, to a wide range of applications including vehicles, smart structures with piezoelectric actuators and sensors and shape memory alloy wires, robot position and force control, extrusion, and welding.

Communications, Information, and Signal Processing   Advanced study and research in this field deals with the encoding, transmission, retrieval, and interpretation of information. Students may pursue programs of study strong in mathematical foundations, or oriented more toward hardware and practical implementation, or a combination of both.

Communications research focuses on the transmission of information over wireless, optical, and wire channels. Link level concerns, such as modulation and coding, as well as local and wide area networks are considered. Two of the fundamental subdisciplines emphasized are statistical communications and telecommunications. The former considers special types of systems in different environments, typified by random signals in random channels, as in space communication. The latter includes the hardware and societal demands of telephone, wireless communications, cable TV, communications networks, including ATM and ISDN, and other systems.

The area of information processing is concerned primarily with the theory and engineering design associated with interpreting and manipulating received data, primarily in discrete form. Major research topics include information theory, including rate distortion theory, along with the coding and compression of speech, image, and video signals. A quantitative understanding of the nature and meaning of information provides a theoretical foundation. A special research emphasis at Rensselaer is the application of image transmission and interpretation techniques to pattern recognition, image processing, digital video, and speech recognition.

Signal processing considers the application of digital processing techniques to problems encountered in many areas, including biomedical instrumentation, control systems, and audio processing.

Special laboratories are available for speech processing, video and image processing, networking and communications.

Computer Engineering   Advanced study and research in computer engineering covers a broad range of computing technologies and applications. These include hardware systems, image processing systems, computer graphics, computer communication networks, information systems, neural network computing, robotics, and computer-aided design and manufacturing. Some of the research activities are carried out in conjunction with the Computer Science Department and the interdisciplinary centers.

The design, implementation, layout, and testing of hardware systems constitutes a vital component of computer engineering research. Research areas include multichip packaging concepts, high frequency package characterization, thermal management, optical interconnections, and packaging reliability. Other topics include advanced concepts in fault tolerant computing, wafer scale integration, high speed GaAs RISC engines architectures for VLSI signal processing, and computeraided design of VLSI for CMOS, bipolar, BiCMOS, and GaAs MESFET circuits. Fabrication and testing facilities are available in the Center for Integrated Electronics and Electronic Manufacturing.

Research in image processing covers a range of technologies and applications. Research areas include pattern recognition and computer vision, digital image analysis, and design and evaluation of optical scanning systems. Applications include document image analysis and image reconstruction in medical, industrial, and military applications. Current research projects include parallel processing algorithms and architectures such as array image processors, color vision systems, computational 3-D microscopy, disk arrays, task-oriented sensing systems, and cellular automata transformations for low-level vision tasks. Artificial intelligence (AI), knowledge engineering, and neural network algorithms are some of the techniques exploited in this work. The Center for Image Processing Research and DocLab provide experimental facilities for this research.

Computer graphics and computational geometry use efficient algorithms and data structures to process large geometric databases in CAD and Geographic Information Systems, perhaps in parallel. Applications include terrain visibility algorithms, cartographic map overlay, compression of elevation databases, local topological representations of polyhedra for simpler Boolean operations, and graphical visible surface algorithms. Multimedia work includes graphics courseware development for the WWW using HTML, Java, and VRML.

Research in computer communication networks emphasizes high-speed integrated networks and the delivery of multimedia over local, metropolitan, and wide area networks. Current research focuses on fiber optic and wireless LANs, ATM-based Broadband ISDN networks, and network management.

Information systems play a vital role in today’s world, especially with regard to decision making and the monitoring and control of operations. Research in this area has covered both the design and the development of such systems, including issues dealing with system sizing, system performance, geographic information systems, and decision support systems.

Research areas in robotics include sensor fusion, assembly sequence planning, dexterous manipulation, teleoperated and variably autonomous systems, distributed control architectures, and their applications to inspection, maintenance, and servicing operations in hazardous environments. Extensive experimental and computational facilities are available in the New York State Center for Advanced Technology.

In Computer-Aided Design, research is focused on the front end of the manufacturing process, namely on the product development process. The goal is to understand and develop computerbased systems to support initial conceptual design, feature-based design, geometric modeling, and rapid prototyping.

Electronics and Circuits   Research in this area is focused primarily on instrumentation and interfacing problems found in fields such as plasma diagnostics, computer hardware, communications, signal measurement, and biomedical engineering. Analog and digital circuits, including microprocessor and digital signal processor applications, are considered. Current projects are concerned with adaptive signal processing, digital communications, medical imaging, robot control, aids for the handicapped, and automated patient care.

Microelectronics Technology and Design   Advanced study and research includes highperformance integrated circuits, semiconductor devices for power and high-frequency applications, fabrication of novel semiconductor materials and device structures, and the use and development of computer tools for microelectronics design. Research in association with the Center for Advanced Interconnect Science and Technology focuses on overcoming the strong limits interconnects pose for future developments in VLSI technology.

An extensive clean room in the Center for Integrated Electronics and Electronics Manufacturing (CIEEM) is equipped with complete capability for making silicon-based devices and integrated circuits and a full complement of equipment for compound semiconductor device processing. Activities in this area have been focused on novel device technology and process development, advanced interconnect processing, and the fabrication of micromechanical structures.

The microelectronics group has several specialized laboratories equipped to meet industrial standards for advanced research techniques. The electronic materials laboratory includes several state-of-the-art bulk crystal growth systems, wafer slicing and chemical mechanical polishing facilities, liquid phase epitaxy system for multi-layer hetero-epitaxy growth, cold wall, epitaxial reactors for the growth of single crystal III-V and II-VI semiconductors. Diagnostic equipment in the laboratories includes a scanning electron microscope with energy dispersive X-ray analysis, a double crystal X-ray diffractometer, a Fourier transform IR spectrometer, a photoluminescence system with visible and UV excitation, a spectroscopic ellipsometer, and a Hall-effect measurement system.

The high-voltage power device laboratory has equipment that can measure semiconductor power devices in wafer and package form up to 5000 V and 25 A. The equipment includes a Sony/Tektronix 370A curve tracer, an HP 4155 parameter analyzer with a high power module, a Velonex High Power Pulse Generator Model 350, custom high-voltage rectifier and IGBT switching circuits, a 500 MHz digitizing oscilloscope, Delta 9023 furnace, and a manual probe station with a high-temperature controller and chuck for device testing.

The semiconductor device characterization laboratories are equipped for carrying out comprehensive electrical characterization of semiconductor devices. Automated measurement systems are available for CV and IV measurements and deep level transient spectroscopy. Facilities are available for cryogenic measurements of semiconductor and superconducting devices at liquid nitrogen and helium temperatures. Additional specialized instrumentation has been developed for analyzing the quantum efficiency and spectral response of solar cells and photoconductive materials; automated reflectance, electroreflectance, and photoreflectance for the characterization of semiconductor surfaces and quantum layers; and a wide-band 35 GHz microwave setup for contactless measurement of electric resistivity, mobility, and excess carrier lifetime in epitaxial layers or bulk wafers. A full complement of microwave equipment is available for high frequency testing, including HP 8510 and 8410 network analyzers, frequency counters, probe stations, and an automated multiprobe system for on-wafer time-domain measurements.

Within the ECSE Department and the Center for Integrated Electronics and Electronics Manufacturing are numerous MicroVAX, Sun, and RS6000 workstations with a variety of commercial design and simulation software, presently including Cadence, Mentor, TMA, and Hewlett-Packard software suites. Research programs developing supplemental design tools for modeling integrated circuits, devices, processes, and interconnects have provided unique supplemental capabilities.

Plasma Engineering and Electromagnetics   Plasma engineering and electromagnetics have played key fundamental roles in electrical engineering throughout the history of our discipline. Research here in recent years has centered on two general areas—analysis of electromagnetic fields and characterization of plasma media. Project areas include diagnostics for fusion plasmas based on the interaction between energetic particle beams and plasmas, the application of finite element methods to microwave heating of a variety of materials and to antenna design, lowtemperature plasma modification of materials, magnetic levitation, and electric vehicles. Additional microwave projects are described in the section above.

High-temperature plasma research is crucial to the development of a controlled thermonuclear fusion energy source. Rensselaer’s Plasma Dynamics Laboratory has a very active research program on the development of sophisticated particle beam diagnostic systems to make space and time resolved measurements on magnetically confined plasma experiments. Specific diagnostic techniques are developed and tested on relatively small-scale experiments in our on-campus laboratory, and then the techniques are scaled up and applied on major confinement experiments located at other U.S. universities (e.g., the Universities of Texas and Wisconsin), at U.S. national laboratories (e.g., Oak Ridge National Lab and Lawrence Livermore National Lab), and foreign institutions (e.g., the Japanese National Institute for Fusion Science).

Electromagnetics remains one of the richest sources of problems and opportunities for electrical engineers. In recent years, the availability of powerful analysis tools, such as those based on finite element methods, has greatly enhanced our ability to exploit electromagnetic phenomena for the greater good of society. In conjunction with faculty and students from our Electric Power Department, we have addressed issues associated with high power microwave antenna design, assessing material properties for microwave heating applications, noise in electric vehicle design, and processing of waste materials.


Facilities   As detailed above, the department has a wide range of sophisticated equipment for experimental investigations, especially in the areas of robotics, communications and image processing, computer hardware, fusion plasmas, and microelectronics. Additionally, the department houses numerous computers, networked UNIX workstations, and various special-purpose systems. High-speed links provide access to supercomputer centers and national research networks. University computational facilities are described elsewhere in this catalog.


Faculty

Professors

Bhat, I.   Ph.D. (Rensselaer Polytechnic Institute); solid state, electronic materials.
Carlson, A.B.   Ph.D. (Stanford University); communication systems, circuits and electronics, educational methods, social context of engineering.
Chow, J.H.   Ph.D. (University of Illinois); large-scale system modeling, multivariable control systems, power systems.
Chow, T.P.   Ph.D. (Rensselaer Polytechnic Institute); semiconductor device physics and processing technology, integrated circuits.
Connor, K.A.   Ph.D. (Polytechnic Institute of New York); electromagnetic theory, wave propagation, plasmas for fusion research and industrial applications, finite element methods.
Desrochers, A.A.   Ph.D. (Purdue University); discrete event dynamic systems, robotics, control of automated manufacturing systems.
Gerhardt, L.A.   Ph.D. (State University of New York, Buffalo); communication systems, digital voice and image processing, adaptive systems and pattern recognition, integrated manufacturing.
Gutmann, R.J.   Ph.D. (Rensselaer Polytechnic Institute); solid-state devices, microwave techniques, and interconnection technology.
Jennings, W.C.   Ph.D. (Rensselaer Polytechnic Institute); plasma diagnostics, electronics manufacturing, multimedia educational materials.
Kelley, R.B.   Ph.D. (University of California, Los Angeles); methods to give machines smart behaviors, sensorbased automation/robotic systems, teaching methods.
McDonald, J.F.   Ph.D. (Yale University); communication theory, coding and switching theory, computer architecture, integrated circuit design, high-frequency packaging, digital signal processing.
Modestino, J.W.   Ph.D. (Princeton University); stochastic processes in communication and control, information theory and coding, detection and estimation theory, digital signal and image processing.
Nagy, G.   Ph.D. (Cornell University); pattern recognition, document-image analysis, optical character recognition, geometric computation, computer-mediated learning, computer vision.
Pearlman, W.A.   Ph.D. (Stanford University); information theory and source coding, image, video, and audio compression, digital image and signal processing.
Sanderson, A.C.   Ph.D. (Carnegie Mellon University); robotics, knowledge-based systems, computer vision.
Savic, M.   Eng.Sc.D. (University of Belgrade); signal processing, biomedical electronics, electronics.
Shur, M.S.   D.Sc. (Ioffe Institute); semiconductor materials and devices, integrated circuit simulation, characterization and design.
Tien, J.M.   Ph.D. (Massachusetts Institute of Technology); systems modeling, queuing theory, public policy and decision analysis, computer performance evaluation, information systems, expert systems, computational cybernetics.
Vastola, K.S.   Ph.D. (University of Illinois); computer and communication networks.
Wen, J.T.   Ph.D. (Rensselaer Polytechnic Institute); nonlinear control, robot control, control of flexible structures, control of deformation processes.
Woods, J.W.   Ph.D. (Massachusetts Institute of Technology); digital signal processing, image processing, digital image and video compression.
Wozny, M.J.   Ph.D. (University of Arizona); computer graphics, computer-aided design, digital simulation, rapid prototyping systems.
Zhang, X.-C.   Ph.D. (Brown University); ultrashort optical pulse spectroscopy, terahertz lasers.

Associate Professors

Franklin, W.R.   Ph.D. (Harvard University); computational geometry, graphics and CAD, large geometric databases, geographic information systems, terrain visibility and compression.
Ji, C.   Ph.D. (California Institute of Technology); learning machines, pattern recognition and intelligent networking.
LeCoz, Y.L.   Ph.D. (Massachusetts Institute of Technology); numerical methods, random-walk algorithms for thermal and electromagnetic analysis of IC interconnects, quantum theory of semiconductor heterojunctions.
Roysam, B.   D.Sc. (Washington University); intelligent imaging at low SNR, parallel computation, biomedical applications.
Saulnier, G.J.   Ph.D. (Rensselaer Polytechnic Institute); circuits and electronics, communication systems, digital signal processing.
Schoch, P.M.   Ph.D. (Rensselaer Polytechnic Institute); plasma diagnostics, instrumentation, engineering education.
Stephanou, H.E.   Ph.D. (Purdue University); multifingered robot hands, machine intelligence, neural networks, sensor fusion.
Torrey, D.A.   Ph.D. (Massachusetts Institute of Technology); semiconductor power electronics.

Assistant Professors

Arcak, M.   Ph.D. (University of California, Santa Barbara); design and analysis of nonlinear control systems, adaptive control, applications to mechanical systems.
Dutta, P.S.   Ph.D. (Indian Institute of Science); compound semiconductor materials and devices, crystal growth and substrate engineering, semiconductor quantum dots and nano-particles, photovoltaics, optoelectronics and microelectronics technologies.
Huang, W.   Ph.D. (Carnegie Mellon University); robotic manipulation, mobile robotics.
Ji, Q.   Ph.D. (University of Washington); computer vision, image processing, pattern recognition, robotics.
Kalyanaraman, S.   Ph.D. (Ohio State University); ATM and Internet traffic management, multimedia networking, IP telephony, performance analysis, Internet pricing.

Research Associate Professors

Gaska, R.   Ph.D. (Wayne State University); wide band gap materials and devices; optoelectronics, high-power electronics, solid-state lighting.
Millard, D.L.   Ph.D. (Rensselaer Polytechnic Institute); microelectronics design and manufacturing, nondestructive testing and evaluation, instrumentation systems, multimedia development.

Adjunct Faculty

Anderson, T.R.   Ph.D. (New York University); electromagnetic theory, antennas, electromagnetic compatibility.
Blake, J.P.   M.S. (Union College); software engineering.
Bonissone, P.P.   Ph.D. (University of California, Berkeley); theory of fuzzy sets.
Citriniti, T.D.   M.S. (Rensselaer Polytechnic Institute); computer graphics and visualization.
Hershey, J.E.   Ph.D. (Oklahoma State University); communication systems, crytography, intellectual property management.
Johansen, R.B.   M.S.E. (Union College); computer languages, array signal processing, precision control of micromechanical systems.
Kraft, R.P.   Ph.D. (Rensselaer Polytechnic Institute); digital control and manufacturing systems.
Michael, J.D.   Ph.D. (Rensselaer Polytechnic Institute); plasma diagnostics, instrumentation, low pressure discharge modeling, laser diagnostics, novel light sources.
Spang, H.A., III   D.Eng. (Yale University); control systems, theory and implementation.

Emeritus Faculty

Borrego, J.M.   P.E., Sc.D. (Massachusetts Institute of Technology); semiconductor device physics and characterization, solar cells, applications of microwaves.
Close, C.M.   Ph.D. (Rensselaer Polytechnic Institute); network analysis and synthesis, control systems.
Das, P.K.   Ph.D. (University of Calcutta); microwave acoustics, solid-state devices, integrated circuits.
DiCesare, F.   Ph.D. (Carnegie Mellon University); discrete event systems, Petri net theory and applications, manufacturing automation and integration, traffic control.
Frederick, D.K.   Ph.D. (Stanford University); automatic control, process modeling and control, computer simulation.
Ghandhi, S.K.   Ph.D. (University of Illinois); solid-state materials and devices, integrated circuits, device technology and electronic circuits.
Hickok, R.L., Jr.   Ph.D. (Rensselaer Polytechnic Institute); gaseous electronics, plasmas, energy conversion.
Norvik, F.J.   M.E.E. (Rensselaer Polytechnic Institute); antennas, radio engineering, electronic circuits.
Rose, K.   Ph.D. (University of Illinois); semiconductor and superconductor materials and processing, VLSI design and testing.
Saridis, G.N.   Ph.D. (Purdue University); intelligent control systems, pattern recognition, computer systems, robotics, prostheses.
Saxena, A.N.   Ph.D. (Stanford University); solid-state materials, devices, integrated circuits, and advanced technologies.

Senior Research Engineer

Schatz, J.G.   A.A.S. (Hudson Valley Community College); vacuum and electronic systems.

Research Associate

Ehsani, H.   Ph.D. (University of Texas); semiconductor devices.


Undergraduate Programs

Students may follow the baccalaureate program leading to the Bachelor of Science degree in either electrical engineering or computer and systems engineering. The objective of both programs is to prepare graduates for professional practice and/or advanced study, together with continuing personal and professional growth.

In particular, the ECSE department seeks to graduate visionary and versatile professionals who will have a solid foundation in mathematics, science, and engineering, and be able to apply these to practical use. They will be able to identify, model, analyze, and solve challenging real world problems; have specialized technical knowledge in their chosen field; have strong communication skills with emphasis on technical writing and interpersonal communication; be able to design innovative products, processes, or systems; perform effectively on diverse, multidisciplinary teams, both as leader and as contributor; be informed citizens broadly educated in the humanities and social sciences; be prepared to practice engineering in a socially responsible and ethical manner; and have learned in a creative, stimulating environment that prepares and motivates them to continue to grow and learn.

Engineering design is introduced and developed in the required courses ENGR-2050, ENGR-2350, and ECSE-2610, and in various electives. These courses set the stage for capstone design experience in the design elective.

The design elective is also a writing-intensive course that satisfies the institute writing requirement.

The design elective and at least two other electives form a technical concentration in an area chosen by the student. Other electives may be used to further emphasize areas of individual interest or for complementary study in various fields, including minor programs in the liberal arts, science, or management.

The department encourages qualified students to consider graduate study in electrical engineering or computer and systems engineering. Information about the department’s graduate programs is given under subsequent headings.

The programs listed here apply to students who enter as freshmen in the fall of 2001.

The program descriptions that follow indicate recommended positions for certain courses for students who make an early choice of electrical engineering or computer and systems engineering as their discipline. However, various arrangements may be worked out with the help of an adviser. In all cases, adviser approval of individual programs is necessary to ensure satisfaction of departmental and accreditation requirements.

The Pass/No Credit option can be used only for humanities and social sciences electives (up to a maximum of 6 credits) or for free electives. All other courses used to satisfy the degree requirements must be taken on a graded basis.

Special options within the undergraduate programs are as follows:

Dual Major Programs   Dual major programs lead to a single baccalaureate degree embracing two fields. Special programs that can be completed in eight terms have been devised for:

  • electrical engineering and applied physics;
  • electrical engineering and computer and systems engineering;
  • computer and systems engineering and computer science.

Detailed information about these programs is available in the department curriculum office.

Cooperative Education Program   This option allows students to gain professional experience as part of the educational program. The curriculum chair assists in planning individual study-work schedules. Academic credit may be earned for suitable activities in the second work period.

Undergraduate Honors Program   A special program that introduces research as a professional activity is available for outstanding undergraduates in electrical engineering or computer and systems engineering. All participants attend the ECSE Honors Seminar during their sophomore or junior years. Students also participate in at least one research project. An honors faculty adviser is assigned with whom special academic programs are developed that reflect the capabilities and interests of the exceptional student. Applications are accepted during a student’s third semester or thereafter. Forms are available from the department curriculum office.


Electrical Engineering Curriculum

First Year
Fall Credit Hours
ENGR-1100 Intro. to Engineering Analysis 4
ENGR-1310 Intro. to Eng. Electronics (1,2) 1
ENGR-1500 Chemistry of Materials I 4
MATH-1010 Calculus I 4
  Hum. or Soc. Sci. Elective 4
Spring Credit Hours
ENGR-1200 Engineering Graphics & CAD (1) 1
MATH-1020 Calculus II 4
CSCI-1100 Computer Science I (1,3) 4
PHYS-1100 Physics I 4
  Hum. or Soc. Sci. Elective 4
Second Year
Fall Credit Hours
ENGR-2050 Intro. to Engineering Design 4
MATH-2400 Intro. to Differential Equations 4
PHYS-1200 Physics II 4
  Hum. or Soc. Sci. Elective 4
Spring Credit Hours
ENGR-2350 Embedded Control 4
ECSE-2010 Electric Circuits 4
ECSE-2610 Computer Components & Operations (3) 4
  Hum. or Soc. Sci. Elective 4
Third Year
Fall Credit Hours
ECSE-2050 Analog Electronics or  
ECSE-2060 Digital Electronics 4
ECSE-2410 Signals & Systems 4
  Multidisciplinary Elective (1) 4
  Hum. or Soc. Sci. Elective (1) 4
Spring Credit Hours
ECSE-2100 Fields and Waves I 4
ECSE-2210 Microelectronics Technology 4
  Applied Mathematics Elective 4
  Free Elective (1,4) 3-4
Fourth Year
  Credit Hours
  Professional Development II* 2
ECSE-4500 Probability for Engineering Applications (1) 4
ENGR-4010 Professional Development III 1
  Laboratory Elective 3
  Design Elective 3
  Restricted Electives (3) 9
  Free Electives (2 or 3) (4) 8-9

*This course will be fulfilled from a published list at the start of each semester.
1. May be taken either term.
2. May be replaced by ENGR-1300 Engineering Processes.
3. Students entering this program in the fourth term should take CSCI-1100 in the spring, deferring ECSE-2610
4. The Free Electives must total at least 12 credits.

Minimum Credit Hours   This curriculum requires fulfillment of the course requirements listed above, and completion of a minimum of 128 credit hours. Any exceptions to specified courses must be approved in writing by a program adviser.

Humanities or Social Science Electives   The humanities and social science electives are based on the Institute and School of Engineering requirements for these electives. It is recommended that the student elect sequences in appropriate departments in order to provide adequate breadth and depth in subject areas. Students desiring minors must consult the school or department in which these courses are offered for specific requirements.

Electives

Restricted Electives   Any course with the designation EPOW or ECSE. Additionally, one restricted elective may be a course numbered ENGR-2xxx or ENGR-4xxx.

Laboratory Electives
ENGR-4710 Advanced Manufacturing Laboratory I (fall)
EPOW-4030 Electric Power Engineering Laboratory (spring)
ECSE-4220 VLSI Design (fall)
ECSE-4760 Computer Applications Laboratory (spring)
ECSE-4770 Computer Hardware Design (fall)
Design Electives
ECSE-4120 Electronic Engineering Design (spring)
ECSE-4180 Microwave Circuit Design (spring)
ECSE-4260 Physical Design in Microelectronics (spring)
ECSE-4440 Control Systems Engineering (fall or spring)
ECSE-4560 Signal Processing Design (spring)
ECSE-4980 Senior Design Project (fall or spring)
ECSE-6700 Advanced Computer Hardware Design (spring)
Multidisciplinary Electives
ENGR-1600 Chemistry of Materials II
ENGR-2090 Engineering Dynamics
ENGR-2250 Thermal & Fluids Engineering I
ENGR-2530 Strength of Materials
Applied Mathematics Electives
CSCI-2400 Models of Computation
CSCI-4020 Computer Algorithms
CSCI-4260/
MATH-4150
Graph Theory
MATH-2010 Multivariable Calculus & Matrix Algebra
MATH-2800 Introduction to Discrete Structures
MATH-4700 Foundations of Applied Mathematics

Concentrations   The design elective and two other electives must form a technical concentration as follows:

Automatic Control Systems   ECSE-4440 and two of ECSE-4490, ECSE-4510, ECSE-4760, ECSE-6400
Communications and Information Processing   ECSE-4510, ECSE-4520, and ECSE-4560
Computer Hardware   ECSE-4770, ECSE-6700 and ECSE-2660 or ECSE-4220
Electromagnetics   ECSE-4180 and two of ECSE-4060, ECSE-4160, ECSE-4170, ECSE-4320
Electronic Circuits   ECSE-2050*, ECSE-2060*, ECSE-4120 and one of ECSE-4060, ECSE-4080, ECSE-4220, ECSE-6050
Manufacturing   ENGR-4710, ENGR-4720 , and ECSE-4440
Microelectronics Technology and Design   ECSE-4260 and two of ECSE-2050* or ECSE-2060*, ECSE-4220, ECSE-4250, ECSE-6680
Individualized Concentration   ECSE-4980 and two courses approved by the adviser

* One of these courses must be taken as the electronics option and is not part of the concentration.

Minor in Electrical Engineering   The minor in electrical engineering is open to undergraduates who are not majoring in electric power engineering, electrical engineering, or computer and systems engineering. The minor consists of:

ECSE-2010 Electric Circuits 4
ECSE-2410 Signals & Systems 4
ECSE-2610 Computer Components & Operations 4
  Approved restricted elective 3-4

All minors must be approved by the curriculum chair.

Courses   Courses directly related to the electrical engineering curriculum are described in this catalog under the designation ECSE. Other courses of interest are under the designation CSCI, DSES, ENGR, EPOW, ITEC, MATH, MTLE, and PHYS.


Computer and Systems Engineering Curriculum

First Year
Fall Credit Hours
ENGR-1200 Engineering Graphics and CAD (1) 1
ENGR-1500 Chemistry of Materials I 4
MATH-1010 Calculus I 4
CSCI-1100 Computer Science I (3) 4
  Hum. or Soc. Sci. Elective 4
Spring Credit Hours
ENGR-1100 Intro. to Engineering Analysis 4
ENGR-1310 Intro. to Eng. Electronics (1,2) 1
MATH-1020 Calculus II 4
CSCI-1200 Computer Science II (3) 4
  Hum. or Soc. Sci. Elective 4
Second Year
Fall Credit Hours
ENGR-2350 Embedded Control (3) 4
ECSE-2610 Computer Components & Operations (3) 4
CSCI-2300 Data Structures & Algorithms (3) 4
PHYS-1100 Physics I 4
Spring Credit Hours
ECSE-2660 Computer Architecture, Networks, & Operating Systems (3) 4
MATH-2400 Intro. to Differential Equations 4
PHYS-1200 Physics II 4
  Hum. or Soc. Sci. Elective 4
Third Year
Fall Credit Hours
ENGR-2050 Intro. to Engineering Design 4
ECSE-2010 Electric Circuits 4
  Multidisciplinary Elective (1) 4
  Hum. or Soc. Sci. Elective 4
Spring Credit Hours
ECSE-2410 Signals & Systems 4
  Applied Mathematics Elective 4
  Free Elective (1,4) 3-4
  Hum. or Soc. Sci. Elective 4
Fourth Year
  Credit Hours
  Professional Development II* 2
ECSE-4500 Probability for Engineering Applications (1) 4
ENGR-4010 Professional Development III 1
  Software Engineering Elective 3-4
  Design Elective 3
  Restricted Electives (3) 9
  Free Electives (2 or 3) (4) 8-9

*This course will be fulfilled from a published list at the start of each semester.
1. May be taken either term.
2. May be replaced by ENGR-1300 Engineering Processes.
3. Students entering this program in the fourth term should take CSCI-1100 and ENGR-2350 in the spring, deferring ECSE-2610, ECSE-2660, CSCI-1200, and CSCI-2300.
4. The Free Electives must total at least 12 credits.

Minimum Credit Hours   This curriculum requires fulfillment of the course requirements listed above, and completion of a minimum of 128 credit hours. Any exceptions to specified courses must be approved in writing by a program adviser.

Humanities or Social Science Electives   The humanities and social science electives are based on the Institute and School of Engineering requirements for these electives. It is recommended that the student elect sequences in appropriate departments in order to provide adequate breadth and depth in subject areas. Students desiring minors must consult the school or department in which these courses are offered for specific requirements.

Electives

Restricted Electives
Any course with the designation ECSE or CSCI. Additionally, one restricted elective may be a course numbered ENGR-2xxx or ENGR-4xxx.

Software Engineering Electives
ECSE-4750 Computer Graphics (fall or spring)
ECSE-6770 Software Engineering I (fall)
CSCI-4380 Database Systems (fall or spring)
CSCI-4440 Software Design & Documentation (fall or spring)
CSCI-4600 The Human-Computer Interface (spring)
Design Electives
ECSE-4440 Control Systems Engineering (fall or spring)
ECSE-4560 Signal Processing Design (spring)
ECSE-4790 Microprocessor Systems (fall)
ECSE-4980 Senior Design Project (fall or spring)
ECSE-6700 Advanced Computer Hardware Design (spring)
Multidisciplinary Electives
ENGR-1600 Chemistry of Materials II
ENGR-2090 Engineering Dynamics
ENGR-2250 Thermal & Fluids Engineering I
ENGR-2530 Strength of Materials
Applied Mathematics Electives
CSCI-2400 Models of Computation
CSCI-4020 Computer Algorithms
CSCI-4260/
MATH-4150
Graph Theory
MATH-2010 Multivariable Calculus & Matrix Algebra
MATH-2800 Introduction to Discrete Structures
MATH-4700 Foundations of Applied Mathematics

Concentrations   The design elective and two other electives must form a technical concentration as follows:

Automatic Control Systems   ECSE-4440 and two of ECSE-4490, ECSE-4510, ECSE-4760, ECSE-6400
Communications and Information Processing   ECSE-4510, ECSE-4520, and ECSE-4560
Computer Hardware   ECSE-2060, ECSE-4770, and ECSE-6700
Computer Systems   ECSE-4790 and two of ECSE-4770, CSCI-2400, CSCI-4050, CSCI-4210, CSCI-4220, CSCI-4320
Individualized Concentration   ECSE-4980 and two courses approved by the adviser.

Minor in Computer and Systems Engineering   The minor in computer and systems engineering is open to undergraduates who are not majoring in computer science, electrical engineering, or computer and systems engineering. The minor consists of:

ECSE-2010 Electric Circuits 4
ECSE-2610 Computer Components & Operations 4
ECSE-2660 Computer Architecture, Networks, & Operating Systems 4
  Approved restricted elective 3-4

All minors must be approved by the curriculum chair.

Courses   Courses directly related to the computer and systems engineering curriculum are described in this catalog under the designation ECSE. Other courses of interest are under the designation CSCI, DSES, ENGR, ITEC, MATH, and MATP.


Graduate Programs

The department offers graduate programs leading to the Master of Engineering, Master of Science, Doctor of Philosophy, and Doctor of Engineering in Electrical Engineering and in Computer and Systems Engineering. In all cases, particular emphasis is placed on developing a coherent individualized plan of study with the help of a faculty adviser.

Master of Engineering Program   This is a one-year program designed to prepare graduates for professional careers in electrical and/or computer engineering. Students entering the program typically hold accredited bachelor’s degrees in appropriate branches of engineering. A master’s thesis or project is not required.

The Plan of Study consists of 30 credit hours beyond the bachelor’s degree, including:

  • At least 18 credit hours in 6000-level courses;
  • At least 21 credit hours in ECSE courses; (up to 6 of these credits may be from a related technical area with the approval of the department).
  • A three-course concentration to provide depth in an approved technical area;
  • A two-course sequence taken outside the department to provide breadth;
  • Minimum 3.0 QPA.

An information sheet giving the requirements for several areas of specialization is available for all accepted students.

Qualified ECSE undergraduates who are considering this graduate degree are encouraged to apply during the third year of the baccalaureate program. Early admission allows integrated planning for both degrees, and excess courses taken during the baccalaureate program may be applied to the requirements for the Master of Engineering.

Master of Science Program   This program is designed to prepare students for researchoriented careers and eventual pursuit of a doctoral degree. A six-credit master’s thesis or project is usually required, but it may be waived for students who can submit a document of previous individual work that demonstrates equivalency in depth and presentation. Waivers are granted by the director of master’s programs and must be replaced with six credit hours of course work.

The Plan of Study consists of 30 credit hours beyond the bachelor’s degree, including:

  • At least 18 credit hours in 6000-level courses and the thesis/project;
  • At least 21 credit hours in ECSE courses; (up to 6 of these credits may be from a related technical area with the approval of the department).

Programs that do not include 21 credit hours from ECSE must have prior approval from the director of master’s programs. Students who do not have adequate preparation for their chosen area of specialization may need to take background courses in addition to the 30 credit hours. An information sheet giving the requirements for several areas of specialization is available for all accepted students.

Doctoral Programs   Advanced study and research for a Doctor of Philosophy or Doctor of Engineering degree are conducted under the guidance of a thesis adviser representing the department. An individual Plan of Study is formulated by the student and his or her adviser. The Doctoral Qualifying Examination should be taken prior to completing 15 credit hours beyond a master’s degree. A minimum of 60 credit hours beyond the master’s degree, including a dissertation, is required. The department expects the university requirements for candidacy, residency, etc., to be satisfied.

Special Programs   In collaboration with centers and other departments, the Electrical, Computer, and Systems Engineering Department sponsors master’s and doctoral program options in manufacturing systems and semiconductor manufacturing technology. Descriptions of these programs are available upon request.

Courses   Courses in the Electrical, Computer, and Systems Engineering Department are described in this catalog under the designation ECSE. Other courses of interest are under the designations CSCI, DSES, ENVE, EPOW, ITEC, MATH, MATP, MTLE, and PHYS.

 

2002-03 Catalog Home Course Descriptions School of Architecture School of Engineering
School of Humanities and Social Sciences Information Technology Lally School of Management and Technology School of Science


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