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/

Electrical,, computer, and systems engineers have long 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 is the flexibility for students to embark on individually tailored programs and for the department to launch new areas of research.

The department offers programs of study leading to bachelors, master’s, and doctoral degrees in electric power engineering, electrical engineering, and 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.


Research and Innovation Initiatives

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 television, 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 Networks
Research focal areas in computer networking include network management, traffic management, congestion control, traffic engineering, quality-of-service (QoS) architectures, multimedia networking, network modeling, measurement, and performance analysis. The application areas include wired, wireless, ad-hoc, satellite networks, and pervasive computing. The networking group also participates in interdisciplinary research in control theory, economics, scalable simulation technologies, and video compression.

As world networks get increasingly complex, the need for automated network management and sophisticated traffic management capabilities becomes more urgent. The theoretical foundations for these areas are of immense interest. Moreover, the structure of the Internet in terms of thousands of ISPs demands new economic models and mechanisms to ensure continued investment and growth of Internet services. Network heterogeneity—especially in terms of wired, wireless, ad-hoc, and satellite—demands fundamental research for seamless interconnection. Rensselaer’s modeling subgroup serves all areas in terms of self-similar and advanced stochastic models. Finally, newer applications with QoS capabilities need to be deployed on the Internet and co-exist with the current applications. The computer network group works on all these areas with a mix of analysis, simulation, and experimental tools.

Computer Vision, Image Processing, and Digital Media
Research in image processing covers a range of technologies and applications. This activity occurs at the Center for Image Processing Research (CIPR), the Center for Subsurface Sensing and Imaging Systems (CenSSIS), and the Center for Next Generation Video (CNGV), as well as the Document Analysis Laboratory (DocLab), Advanced Imaging Systems Laboratory, and Computer Vision and Robotics Laboratory.

Research areas include pattern recognition, computer vision, multidimensional and multimodality image analysis, image compression, biotech assay automation, eye tracking, optical scanning systems, artificial intelligence, graphics, computational geometry, and Internet image analysis services.

Application areas include computer-assisted surgery, radiation treatment planning, medical image reconstruction, document image analysis, geographic data analysis, and image analysis aids to neurobiology. Additional application areas are bioinformatics, human fatigue monitoring, human computer interaction, video imagery activity interpretation, decision making under uncertainty, robot localization, robotic devices for automated scoring of assays for the biotechnology industry, and biological multidimensional microscopy.

The work of digital media includes such topics as image processing algorithms and architectures for digital cinema, advanced image compression and decompression algorithms, and methods for indexing video by content. Multimedia work also includes graphics courseware development for the World Wide Web using HTML, Java, PHP, my SQL, and VRML.

Computer Hardware, Architecture, and Design
The design, implementation, layout, and testing of hardware systems constitute 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 computer-aided design of VLSI for CMOS, bipolar, BiCMOS, and GaAs MESFET circuits. Fabrication and testing facilities are available in the Center for Integrated Electronics.

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, 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. 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.

Today, low-cost, highly reliable microcomputers and workstations that can be used for both control systems design and control system synthesis are widely available. As a result, 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 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.

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 Automation Technologies.

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

Electric Power and Power Electronics
Current research is concentrated in five principal areas: electric and magnetic field computation, electrical transients and switching technology, dielectrics and insulation systems, power system analysis and optimization, and semiconductor power electronics.

The design of equipment to minimize losses, achieve compaction, or better utilize material frequently requires a sound knowledge of the electric and magnetic field configurations involved. Several projects in the recent past have adapted finite element methods to the solution of current problems in large machines. A new approach to digital field computations is being devised, based on techniques used to solve large network problems. The objective is to develop a more efficient, computationally conservative method. In today’s energy-scarce world, there is a great emphasis on building more efficient electrical equipment. Projects are under way in the magnetic fields area to better understand the mechanism of electrical losses in rotating machinery and power transformers, with the ultimate goal of reducing these losses.

Of current interest are electric transients initiated by the switching of power plant auxiliaries and capacitor banks, especially by vacuum switching devices. The modeling of transients in transformer structures could also provide insight into the problems of both design and operation. The techniques being developed are finding application in new areas such as superconducting magnetic energy storage (SMES) and fault current limiting devices. This area of endeavor also includes the fundamental processes of switching large currents and the attendant system interactions.

An electrical insulation system, be it solid, liquid, gaseous, or a combination of these, is an essential part of all power equipment. Current research seeks to better understand the fundamental behavior of insulation under a variety of operating conditions and to develop diagnostic instrumentation. This involves experimentation and computer modeling in the areas of discharge physics, electrostatic phenomena, and high-voltage technology.

Optimization theory is used in the design of electric power systems to obtain high efficiency at minimum cost, particularly for systems that involve distributed generation. This has been extended to include the development of intelligent protective relaying using the department’s system simulator and Electromagnetic Transient Program (EMTP) studies.

With the development of innovative energy sources such as advanced electric machines, fuel cells, and solar photovoltaics, power electronic systems are playing an ever-increasing role at both the source and the load. Issues of power quality and electromagnetic interference (EMI) need to be addressed through careful circuit design, circuit board layout, and EMI resistant communications. Rensselaer has identified this growing area of interest and is currently investigating future solutions to these challenging problems.

With the continual improvement of power semiconductor devices over the last thirty years, it is now possible to convert electrical energy from one form to another efficiently and accurately. Work in this multidisciplinary field requires an understanding of semiconductor devices, circuit theory, signal analysis, analog and digital control, magnetics, and heat transfer. At Rensselaer, these fields are applied to electronic energy conversion and motion control for the electric power and industrial automation industries. Current interests include propulsion systems for electric vehicles, generation systems for wind turbines, the use of artificial intelligence (fuzzy logic, genetic algorithms, and neural networks) in the design and control of electric power conversion and electric machines, and the adaptive control of electric machines.

Microelectronics Technology
Advanced study and research includes 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 Sciences and Technology (CAIST) focuses on overcoming the strong limits interconnects pose for future developments in VLSI technology.

An extensive clean room in the Center for Integrated Electronics (CIE) is equipped for fabricating silicon-based devices, 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 multilayer hetero-epitaxy growth, and cold wall epitaxial reactors for the growth of single crystal III-V and II-VI semiconductors. Diagnostic equipment available 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, a custom high-voltage rectifier and IGBT switching circuits, a 500 MHz digitizing oscilloscope, a 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, and automated reflectance, electroreflectance, and photoreflectance for the characterization of semiconductor surfaces and quantum layers. Also available is 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 are numerous Sun 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 fundamental roles in electrical engineering throughout the history of this discipline. Research at Rensselaer 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, antenna design, low temperature 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 particle beam diagnostic systens for magnetically confined plasma experiments. Specific diagnostic techniques are developed and tested on relatively small-scale experiments in the on-campus laboratory. Techniques are then 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 the ability to exploit electromagnetic phenomena for the greater good of society. Issues associated with high power microwave antenna design, material properties assessment for microwave heating applications, noise in electric vehicle design, and processing of waste materials have been addressed.


Faculty

Departmental faculty listings are accurate as of the date generated for inclusion in this catalog. For the most up-to-date listing of faculty positions, including end-of-year promotions, please refer to the Faculty Roster section of this catalog, which is current as of the May 2002 Board of Trustees meeting.

Professors
Bhat, I.—Ph.D. (Rensselaer Polytechnic Institute); sold state, electronic materials.
Carlson, A.B.—Ph.D. (Stanford University); communication systems, circuits and electronics, educational methods, social context of engineering.
Chow, J.H.—P.E., Ph.D. (University of Illinois); large-scale system modeling, multivariable control 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.
Degeneff, R.C.—P.E., D.Eng. (Rensselaer Polytechnic Institute); transient voltages in electrical machines and transformers, HVDC system design and electric utility system planning.
Desrochers, A.A.—Ph.D. (Purdue University); discrete event dynamic systems, robotics, automated manufacturing systems control.
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.
McDonald, J.F.—Ph.D. (Yale University); communication theory, coding and switching theory, computer architecture, integrated circuit design, high frequency packaging, digital signal processing.
Nagy, G.—Ph.D. (Cornell University); pattern recognition, document-image analysis, optical character recognition, geometric computation, computer-mediated learning, computer vision.
Nelson, J.K.—C.Eng., Ph.D. (University of London); dielectrics and insulation systems, computer-based diagnostics, electrostatic phenomena.
Pearlman, W.A.—Ph.D. (Stanford University); information theory and source coding; image, video, and audio compression; digital image and signal processing.
Roysam, B.—D.Sc. (Washington University); intelligent imaging at low SNR, parallel computation, biomedical applications.
Salon, S.J.—P.E., Ph.D. (University of Pittsburgh); machine design, system component modeling and simulation.
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, flexible structures control, deformation processes control.
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 applications, large geometric databases, geographic information systems, terrain visibility and compression.
Kalyanaraman, S.—Ph.D. (Ohio State University); ATM and Internet traffic management, multimedia networking, IP telephony, performance analysis, Internet pricing.
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.
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.—P.E., Ph.D. (Massachusetts Institute of Technology); semiconductor power electronics, electric machinery.

Assistant Professors
Abouzeid, A.A. —Ph.D. (University of Washington); packet networks.
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.
Mercado, A.V. —Ph.D. (University of Maryland); wireless communication.
Radke, R.J. —Ph.D. (Princeton University); image and video processing.
Sikdar, B. —Ph.D. (Rensselaer Polytechnic Institute); computer networks.

Research Professor
Kliman, G.B. —Ph.D. (Massachusetts Insitute of Technology); electric motors and drives.

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.

Research Assistant Professors
Azimi-Sadjadi, B. —Ph.D. (University of Maryland); stochastic systems, control, communication.
Demers, D. —Ph.D. (Rensselaer Polytechnic Institute); fusion plasmas, plasma diagnostics.

Adjunct Faculty
Anderson, T.R.—Ph.D. (New York University); electromagnetic theory, antennas, electromagnetic compatibility.
Berry, G.T.—P.E., M.E. (Harvard University); power system operation.
Blake, J.P.—M.S. (Union College); software engineering.
Bonissone, P.P.—Ph.D. (University of California, Berkeley); theory of fuzzy sets.
Bonner, S.J. —Ph.D. (Rensselaer Polytechnic Institute); robotics.
Caola, R.J.—M.E. (Rensselaer Polytechnic Institute); protective relaying.
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.
Merrill, H.M.—P.E., Ph.D. (Massachusetts Institute of Technology); economic operation, planning and control of power systems.
Michael, J.D.—Ph.D. (Rensselaer Polytechnic Institute); plasma diagnostics, instrumentation, low pressure discharge modeling, laser diagnostics, novel light sources.
Reichard, M.L.—P.E., M.E. (Pennsylvania State University); industrial power systems.
Sivasubramanian, K. —Ph.D. (Rensselaer Polytechnic Institute); electromagnetics, machines.
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, application 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.
Greenwood, A.N.—Ph.D. (University of Leeds); electrical transients, interrupting devices.
Hickok, R.L., Jr.—Ph.D. (Rensselaer Polytechnic Institute); gaseous electronics, plasmas, energy conversion.
Kelley, R.B.—Ph.D. (University of California, Los Angeles); methods to give machines smart behaviors, sensor-based automation/robotic systems, teaching methods.
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.


Undergraduate Programs

The objective of the department of Electrical, Computer, and Systems Engineering is to prepare graduates for professional practice and/or advanced study, while providing opportunities for continuing personal and professional growth.

Baccalaureate Programs
Within this department, students may obtain the Bachelor of Science degree in three disciplines, electrical engineering, computer and systems engineering, or electric power engineering. The department also encourages students to consider graduate study in any of these three curricula. A professional program option, which leads to both the B.S. and M.Eng. degree, is also open to qualified students.

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, a writing-intensive course that satisfies the Institute writing requirements.

The following program descriptions indicate course schedules for students who select any of the three ECSE disciplines as their chosen field of study. However, various arrangements can be made with the help of an adviser. In all cases, adviser approval of individual plans of study is necessary to ensure satisfaction of departmental and accreditation requirements. The adviser must also approve in writing any exceptions to the courses specified in the descriptions below.

All three of the ECSE curricula require completion of a minimum of 128 credit hours. Within all of these program areas, the Pass/No Credit option may be used only for humanities and social sciences electives (up to a maximum of six credits) or free electives. All other courses used to satisfy the degree requirements must be taken on a graded basis.

Electrical Engineering Curriculum
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.

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 (5,6) 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

1. May be taken either term.
2. May be replaced by ENGR-1300.
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.
5. This course will be fulfilled from a list published at the start of each semester.
6. May be taken in the third year.

Humanities or Social Science Electives   In this area, electives are based on the Institute and School of Engineering requirements. Students are urged to elect humanities and social science sequences through which they will obtain adequate breadth and depth in subject areas. Students desiring minors in Humanities and Social Sciences must consult the school or department in which the courses are offered to obtain further information and specific requirements.

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.


Computer and Systems Engineering Curriculum

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 online 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.

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 (5,6) 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

1. May be taken either term
2. May be replaced by ENGR-1300
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.
5. This course will be fulfilled from a list published at the start of each semester.
6. May be taken in the third year.

Humanities or Social Science Electives   In this area, electives are based on the Institute and School of Engineering requirements. Students are urged to elect humanities and social science sequences through which they will obtain adequate breadth and depth in subject areas. Students desiring minors in Humanities and Social Sciences must consult the school or department in which the courses are offered to obtain further information and specific requirements.

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.


Electric Power Engineering Curriculum

The traditional place for electric power studies in a university is in the electrical engineering program, where the power option is offered as one of several concentrations. At Rensselaer, electric power is a separate degree program with its own faculty. It maintains strong ties to industry and is dedicated to preparing students for careers in power generation, delivery, or equipment; power electronics applied to drives and power conditioning; or at the intersection of electric power, economics, and management.

The vital role that energy plays in our lives has become increasingly evident in recent years. Society as we know it cannot function without an abundant supply of energy. It turns the wheels of industry and agriculture, it provides transportation, it supplies many of our domestic and recreational needs. There is continuing controversy over the primary source of the energy, but there is widespread agreement that electrical energy, because of its ease of transformation to and from other energy forms and its ease of transmission, distribution, and utilization, is vital. It is expected that electrical energy will constitute an increasing portion of the total energy used.

To keep pace with expanding needs through the development of ever more sophisticated systems requires the technical talent, scientific knowledge, mature judgment, and visionary innovation of the best engineering minds of this generation. The electric power engineering program at Rensselaer is dedicated to meeting this need in generation, delivery, and utilization in an increasingly competitive environment. Study at Rensselaer is supported by the power industry, which the program serves. In particular, the ECSE Department operates a Grainger Scholar program under the auspices of the Grainger Foundation for well-qualified U.S. students.

First Year
Fall Credit Hours
  Hum. or Soc. Sci. Elective (1) 4
MATH-1010 Calculus I 4
ENGR-1500 Chemistry of Materials I 4
ENGR-1100 Intro. to Engineering Analysis 4
ENGR-1200 Engineering Graphics & CAD (2) 1
Spring Credit Hours
  Hum. or Soc. Sci. Elective (1) 4
MATH-1020 Calculus II 4
ENGR-1600 Chemistry of Materials II 4
PHYS-1160 Physics I 4
ENGR-1300 Engineering Processes (2,3) 1
Second Year
Fall Credit Hours
  Hum. or Soc. Sci. Elective (1) 4
MATH-2400 Intro. to Differential Equations 4
PHYS-1200 Physics II 4
ENGR-2050 Intro. to Engineering Design 4
Spring Credit Hours
  Hum. or Soc. Sci. Elective (1) 4
ECSE-2010 Electric Circuits 4
ENGR-4050 Modeling & Control of Dynamic Systems 4
ENGR-2600 Modeling & Analysis of Uncertainty 3
CSCI-1190 Beginning C Programming for Engineers 1
Third Year
Fall Credit Hours
ENGR-4300 Electronic Instrumentation 4
ECSE-2100 Fields & Waves I 4
ENGR-2250 Thermal and Fluids Engineering I 4
EPOW-4010 Power Engineering Fundamentals 4
Spring Credit Hours
ECSE-2410 Signals & Systems 4
EPOW-4020 Electromechanics 3
ENGR-2350 Embedded Control 4
  Elective 4
  Professional Development II (6) 2
Fourth Year
Fall Credit Hours
  Hum. or Soc. Sci. Elective (1) 4
EPOW-4080 Semiconductor Power Electronics 3
  Technical Elective (4) 3
  Elective 4
Spring Credit Hours
  Technical Elective (4) 3
EPOW-4850 Electric Power Eng. Design 3
EPOW-4030 EPE Laboratory 4
  Elective 4
ENGR-4010 Professional Development III (5) 1

1. There should be a total of 20 credit hours of H&SS electives.
2. These required courses may be taken in any order.
3. May be replaced by ENGR-1310.
4. Any course in engineering or science that is at the 2000 level or higher.
5. Can be taken in either semester during senior year.
6. This course will be fulfilled from a list published at the start of each semester.

Humanities or Social Sciences Electives
In this area, electives are based on the Institute and School of Engineering requirements. Students are urged to elect humanities and social science sequences through which they will obtain adequate breadth and depth in subject areas. Students desiring minors in Humanities and Social Sciences must consult the school or department in which the courses are offered to obtain further information and specific requirements.

Concentrations
The concentration in Power Electronics Systems is open to all students in Electric Power Engineering. Fulfillment of the concentration will be recognized by the department and consists of both the following courses:

EPOW-4080 Semiconductor Power Electronics Systems
EPOW-4850 Electric Power Engineering Design (with Power Electronics emphasis) and one of the following:
ECSE-4250 Integrated Circuit Processes and Design
ECSE-4290 Electronic Packaging
MANE-4490 Mechatronics
MANE-4250 Mechatronic System Design

Minor Programs
Minors in any of the three ECSE curricula are open to undergraduates not majoring in any of these disciplines. The corresponding curriculum chair must approve all minors.

In Electrical Engineering, the minor consists of:
ECSE-2010 Electric Circuits   4 credit hours
ECSE-2410 Signals and Systems   4 credit hours
ECSE-2610 Computer Components and Operations   4 credit hours
Approved ECSE elective   3–4 credit hours

In Computer and Systems Engineering, the minor consists of:
ECSE-2010 Electric Circuits   4 credit hours
ECSE-2610 Computer Components and Operations   4 credit hours
ECSE-2660 Computer Architecture, Networks, and Operating Systems   4 credit hours
Approved ECSE elective   3–4 credit hours

In Electric Power Engineering, the minor consists of:
ECSE-2010 Electric Circuits   4 credit hours
ECSE-2050 Analog Electronics or
ENGR-4300 Electronic Instrumentation   4 credit hours
ECSE-2100 Fields and Waves   4 credit hours
EPOW-4120 Electromechanics   4 credit hours
EPOW-4010 Power Engineering Fundamentals or
EPOW-4080 Semiconductor Power Electronics   4 credit hours

Dual Major Programs

These 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.

Professional Programs
ECSE students following the Electric Power Engineering Program may follow this option to complete both the B.S. and M.S. degrees. In this case, the fourth year follows closely the outline for the last year of the baccalaureate program. However, in choosing electives the student should bear in mind that the following courses must be taken at some time prior to or during the professional program:

ENGR-4760 Engineering Economics
Mathematics elective at 4000 level or higher

The following 4000-level courses (or their equivalents) can be used to satisfy the degree’s mathematics course requirement:

MATH-4600 Advanced Calculus
MATH-4300 Intro. to Complex Variables: Theory and Applications
MATH-4500 Methods of Partial Differential Equations of Mathematical Physics
MATH-4700 Foundations of Applied Mathematics

The typical curricula for the remainder of the program is as follows:

 Fifth Year
Fall Credit hours
EPOW-6810 Power Engineering Analysis 3
EPOW-6850 Electric and Magnetic Fields in Electric Power Eng. 3
  Selected Power Courses (1) 3
  Electives 6
Spring Credit hours
EPOW-6870 Mechanical Aspects of Electric Power Apparatus 3
EPOW-6890 Computer Methods in Electric Power Engineering 3
  Selected Power Courses (1) 3
  Electives 6

1. At least two courses must be selected from the following:
EPOW-6820 Power Quality (Spring)
EPOW-6880 Utility as a Business (Spring or Summer)
EPOW-6830 Protective Relaying (Fall; offered on availability of instructor)
EPOW-6840 Power Generation Operation and Control (Spring)
EPOW-6960 Topics in Electric Power Engineering (Spring or Summer)
EPOW-6860 Surge Phenomena in Electric Power Engineering (Fall)
ENVE-4400 Nuclear Power Systems Engineering (Spring)

A student wishing to qualify for a B.S. degree by the end of the first year of professional school studies must complete the humanities and social sciences core requirement during the first year of the professional program.

Special Undergraduate Opportunities

ECSE offers a couple of special programs for highly qualified students. These include:

The Undergraduate Honors program
This program for outstanding undergraduates in electrical engineering or computer and systems engineering introduces research as a professional activity. All participants attend the ECSE Honors Seminar during their sophomore or junior year. 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.

The Grainger Scholar program
This program is for well-qualified U.S. students in electric power engineering. Through this program, the power industry, under the auspices of the Grainger Foundation, supports study at Rensselaer.


Graduate Programs

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

Master’s Programs

Both the M.S. and the M.Eng. require 30 credits beyond the bachelor’s degree.

Master of Science
This program is designed to prepare students for research-oriented careers and eventual pursuit of a doctoral degree. A six-credit 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 M.S. plans of study in electrical engineering and computer and systems engineering must consist of at least 18 credit hours of 6000-level courses and the thesis/project. At least 21 credit hours of ECSE courses must be taken, or up to six of these 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 hour requirement. An information sheet giving the requirements for several areas of specialization is available for all accepted students.

In the electric power engineering curricula, most study and research is of an applied nature, which is recognized in the awarding of the M.Eng. degree. However, courses and research directed more toward basic understanding of physical phenomena, such as the fundamental processes of electrical breakdown in dielectrics, can be pursued. This type of research would lead to the M.S. degree. This avenue also allows students with accredited degrees—not in engineering but perhaps in science—to obtain advanced degrees in the electric power area.

Master of Engineering
This one-year program is designed to prepare graduates for professional careers. 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 M.Eng. plans of study in electrical engineering and computer and systems engineering consist of at least 18 credit hours in 6000-level courses. In addition, it must include at least 21 credit hours in ECSE courses, or up to six of these 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 hour requirement. An information sheet giving the requirements for several areas of specialization is available for all accepted students.

The electric power engineering M.Eng. degree is a structured program of advanced professional study for the student holding an accredited bachelor’s degree in the field or its equivalent in electrical engineering. Course listings do not represent requirements except where indicated (see the fifth year requirements listed earlier); they are intended only to guide the student, who is encouraged to develop an individual program in consultation with his or her graduate adviser.

Doctoral Programs
Advanced study and research for a Ph.D. or D.Eng. degree is conducted under the guidance of a thesis adviser representing the department. The student formulates an individual plan of study in consultation with the adviser. The doctoral qualifying examination should be taken prior to completing 15 credit hours beyond the master’s degree. A minimum of 60 credit hours beyond the master’s degree, including a dissertation, is required. The department expects the Institute requirements for candidacy and residency to be satisfied.

In the electric power engineering curricula, most study and research is of an applied nature, which is recognized in the awarding of the D.Eng. degree. However, courses and research directed more toward basic understanding of physical phenomena, such as the fundamental processes of electrical breakdown in dielectrics, can be pursued. This type of research would lead to the Ph.D. degree. This avenue also allows students with accredited degrees—not in engineering but perhaps in science—to obtain advanced degrees in the electric power area.

Special Graduate Opportunities
In collaboration with the various campus centers and other departments, ECSE sponsors master’s and doctoral program options in manufacturing systems and semiconductor technology. Descriptions of these programs are available upon request.

Courses   Courses directly related to all Electrical, Computer, and Systems Engineering curricula are described in the Course Description section of this catalog under the department codes CSCI, DSES, ECSE, ENVE, EPOW, ITEC, MATH, MATP, MTLE, and PHYS.

 

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