Course Descriptions

ESE 501 System Specification and Modeling
A comprehensive introduction to the field of System-on-Chip design. Introduces basic concepts of digital system modeling and simulation methodologies. Various types of hardware description language (HDL) will be studied, including Verilog, VHDL and System C. Topics include top-down and bottom-up design methodology, specification language syntax and semantics, RTL, behavioral and system-level modeling, and IP core development. Included are three projects on hardware modeling and simulation. Fall, 3 credits, grading ABCF.

ESE 502 Linear Systems - CORE COURSE
Development of transfer matrices and state-space equations from the concepts of linearity, timeinvariance, causlity and lumpedness. Op-amp circuit implementations. Solutions and equivalent state equations. companion and modal forms. Stability and Lyapunov equations. controllability, observability, and their applications in minimal realization, state feedback and state estimators. Coprime fraction of transfer functions and their designs in pole-placement and model matching. Both the continuous-time and discrete-time systems will be studied. Fall, 3 credits, grading ABCF.

ESE 503 Stochastic SystemsCORE COURSE
Basic probability concepts and application. Probabilistic bounds, characteristic functions and multivariate distributions. Central limit theorem, normal random variables. Stochastic processes in communications, control and other signal processing systems. Stationarity, ergodicity, correlation functions, spectral densities and transmission properties. Optimum linear filtering, estimation and prediction. Fall, 3 credits, grading ABCF.

ESE 504 Performance Evaluation of Communication and Computer Systems
Advanced queueing models and algorithms for communication and computer systems. Mean value analysis and convolution algorithm. Transient analysis and M/G/1 queue. Models for traffic characterization in broadband integrated networks. Buffer sizing calculations. Bursty and selfsimilar traffic. Prerequisite: ESE 503 or permission of instructor. Spring, 3 credits, grading ABCF.

ESE 505 Wireless Network
This course covers first year graduate level material in the area of wireless communications: wireless channels, overview of digital communications and signal processing for wireless communications, voice and data applications, design basics for wireless modems, analysis of system issues like resource management and handoff, cellular and wireless LAN systems. Fall and Spring, 3 credits, grading ABCF.

ESE 506 Wireless Communications
This course will examine the area of wireless and mobile computing, looking at the unique network protocol challenges and opportunities presented by wireless communications and host or router mobility. The course will give a brief overview of fundamental concepts in mobile wireless systems and mobile computing, it will then cover system and standards issues including second generation circuit switches and third generation packet switched networks, wireless LANs, mobile IP, ad-hoc networks, sensor networks, as well as issues associated with small handheld portable devices and new applications that can exploit mobility and location information. This is followed by several topical studies around recent research publications in mobile computing and wireless networking field. This course will make the system architecture and applications accessible to the electrical engineer. Prerequisite: ESE 505 and ESE 546 or ESE 548 or permission of instructor. Fall, 3 credits, grading ABCF.

ESE 508 Analytical Foundations of Systems Theory
An exposition of the basic analytical tools for graduate study in systems, circuits, control, and signal processing. Sets and mappings, finite- dimensional linear spaces, metric spaces, Banach spaces, Hilbert spaces. The theory will be developed and exemplified in the context of systems applications such as nonlinear circuits, infinite networks, feedback control, signal restoration via projections, and optimal signal modeling. Spring, 3 credits, grading ABCF.

ESE 510 Electronic Circuits
This course is only for students in the Optoelectromechanical Systems Eng. program and cannot be used to fulfill any ESE degree requirement. This is a course in the design and analysis of analog circuits, both discrete and integrated. The first part of the course presents basic topics related to circuit analysis: laws, theorems, circuit elements, and transforms. Fundamental semiconductor devices are introduced next. A number of aspects of circuit design beginning with basic device operation through the design of large analog functional blocks including amplifiers, oscillators, and filters are discussed. Fall, 3 credits, grading ABCF.

ESE 511 Solid-State ElectronicsCORE COURSE
A study of the electron and hole processes in solids leading to the analysis and design of solid-state electronic devices. Solutions to the Schrodinger representation of quantum effects, perturbation techniques. Simple band structure, effective mass theorem. Derivation and application of the Boltzman transport theory. Electrical and thermal conductivities of metals and of semiconductors, Hall effect, thermal effects, and their application to electronic devices. Properties of semiconductors and the theories underlying the characteristics of semiconductor devices. Fall, 3 credits, grading ABCF.

ESE 512 Bipolar Junction and Heterojunction Electronic Devices

A study of fundamental properties of homojunction and heterojunction semiconductor devices. Derivation of the characteristic equations for p-n junction diodes, for the bipolar junction transistor (BJT) and for the heterojunction bipolar transistor (HBT); the device parameters for low- and highfrequency operation, the effects on the device characteristics of fabrication methods and of structural arrangements. The development of the large-signal and small-signal equivalent circuits for the p-n diode and the BJT and HBT devices, with emphasis on models used in prevalent computer-aided analysis routines (e.g., SPICE). Considerations for the devices in integrated-circuit applications.
Spring, 3 credits, grading ABCF.

ESE513 Introduction to Photovoltaics

Introduction to the basic concepts of photovoltaic solar energy conversion, including: 1. The solar resource in the context of global energy demand; 2. The operating principles and theoretical limits of photovoltaic devices; 3. Device fabrication, architecture, and primary challenges and practical limitations for the major technologies and materials used for photovoltaic devices.  Students will gain knowledge of: the device physics of solar cells, the operating principles of the major commercial photovoltaics, and a basic understanding of the role of photovoltaics in the context of the global energy system.  Pre/co –requisites ESE 231. Spring, 3 credits, grading ABCF.

ESE 514 MOS Transistor Modeling

An overview of the metal-oxide semiconductor (MOS) transistor and its models for circuit analysis. The course is modular in structure. In a common first part, CMOS fabrication, device structure and operation are introduced. Starting from basic concepts of electrostatics, MOS field-effect transistor operation is presented in an intuitive fashion, and no advanced background in solid-state theory is required. Analytical models of increasing complexity and their SPICE implementations are discussed. The second part of the course allows students to focus on their field of preference: Device physics; Digital circuits; Analog circuits. The course includes a project in one of these subtopics. Fall, 3 credits, grading ABCF.

ESE 515 Quantum Electronics I
Physics of microwave and optical lasers. Topics include introduction to laser concepts; quantum theory; classical radiation theory; resonance phenomena in two-level systems: Block equations - Kramers Kronig relation, density matrix; rate equation and amplification; CO2 lasers; discharge lasers; semiconductor lasers. Fall, 3 credits, grading ABCF.

ESE 516, 517 Integrated Electronic Devices and Circuits I and II
Theory and applications: elements of semiconductor electronics, methods of fabrication, bipolar junction transistors, FET, MOS transistors, diodes, capacitors and resistors. Design techniques for linear digital integrated electronic components and circuits. Discussion of computer-aided design. MSI and LSI. Fall, Spring, 3 credits each semester, grading ABCF.

ESE 518 Advanced Design of low-noise and low-power analog circuits
Design of advanced low-noise and low-power analog and mixed-signal integrated circuits for radiation sensors. Students will learn state-of-the-art circuit techniques for low-noise and low-power amplification and processing of signals from sensors. Examples of circuits are low-noise amplifiers, filters, stabilizers, discriminators, peak detectors, and pile-up rejectors. Applications range from medical, to security, safety, industrial measurements and physics research. As a course project, students would develop part of a front-end circuit from transistor level to physical layout using industry-standard CAD tools, and/or would participate in the experimental characterization of those or similar circuits. At the end of the course the student will own a solid background and the basic instruments to design low-noise and low-power amplifiers and processing circuits

ESE 519 Semiconductor Lasers and Photodectors
The course provides an introduction to performance, testing and fabrication techniques for
semiconductor lasers and photodetectors. The topics include fundamentals of laser and detector operation, devices band diagram, device characteristics, and testing techniques for analog and digital edge emitting and surface emitting lasers, avalanche and PIN photodetectors. Special attention is given to the design and working characteristics of transmitters and pumping lasers for telecommunication networks. Prerequisite: BS in Physical sciences or Electrical or Computer Engineering. Fall, 3 credits, grading ABCF

ESE 520 Applied ElectromagneticsCORE COURSEWave phenomena and their importance in electromagnetic engineering. Harmonic waves. Phase and group velocities. Dispersive and nondispersive propagation. Transmission lines. Maxwell Equations. Uniform plane waves. Poynting theorems, waveguides, resonators. Scattering matrix theory. Introduction to antenna theory. Electrostatics and magnetostatics as special cases of Maxwell equations. Prerequisite: Bachelor’s degree in Physical Sciences. Spring, 3 credits, grading ABCF.

ESE 521 Applied Optics
This course teaches students the fundamental techniques necessary for analyzing and designing optical systems. Topics include matrix methods for ray optics, fundamentals of wave optics, beam optics, Fourier optics and electromagnetic optics. The latter part of the course will deal with optical activity in anisotropic media and include polarization and crystal optics, electro-optics and acoustooptics.
Fall, 3 credits, grading ABCF.

ESE 522 Fiber Optic Systems
This course covers the essential components of a modern optical fiber communication system. Following a brief review of optical sources and characterization of optical fiber waveguides the remainder of the course examines the design of digital fiber optic links, single wavelength fiber-optic networks and wavelength division multiplexing. Fall, 3 credits, grading ABCF.

ESE 524 Microwave AcousticsContinuum acoustic field equations. Wave equation, boundary conditions and Poynting vector. Waves in isotropic elastic media: Plane-wave modes, reflection and refraction phenomena, bulk-acoustic-wave (BAW) waveguides, surface acoustic waves (SAW's). Plane and guided waves in piezoelectric media. BAW transduction and applications: delay-line and resonator structures, the Mason equivalent circuit, monolithic crystal filters, IM CON dispersive delay lines, acoustic microscopes, SAW transduction and applications: the interdigital transducer, band-pass filters, dispersive filters, convolvers, tapped delaylines, resonators. Prerequisite: ESE 319. Fall, 3 credits, grading ABCF.

ESE 526 Silicon Technology for VLSI
This course introduces the basic technologies employed to fabricate advanced integrated circuits. These include epitaxy, diffusion, oxidation, chemical vapor deposition, ion implantation lithography and etching. The significance of the variation of these steps is discussed with respect to its effect on device performance. The electrical and the geometric design rules are examined together with the integration of these fabrication techniques to reveal the relationship between circuit design and the fabrication process. Fall, 3 credits, grading ABCF.

ESE 527 Circuit Theory and Applications
Foundations of design procedures for electric circuits. Fundamental concepts, graph theory, network equations, network functions, state equations, network synthesis, scattering parameters, nonlinear circuits. Fall, 3 credits, grading ABCF.

ESE 528 Communication SystemsCORE COURSEThis course provides a general overview of communication theory and addresses fundamental concepts in this field. After a review of signals and systems representations, various continuous and digital modulation schemes are analyzed. Spread spectrum systems and their application to multiuser communications are also addressed. Advanced communication systems are described and general concepts of wide and local area networks are introduced. Fall, 3 credits, grading ABCF.

ESE 529 Electrical Network Theory
Linear and nonlinear electrical networks; graph theory; determination of operating points; transient estimation; interconnection networks; numerical methods; parameter extraction; infinite and transfinite networks; discrete potential theory; random walks on networks. Spring, 3 credits, grading ABCF.

ESE 530 Computer-Aided Design
The course presents techniques for analyzing linear and nonlinear dynamic electronic circuits using the computer. Some of the topics covered include network graph theory, generalized tableau and hybrid analysis, companion modeling, Newton's method in n-dimensions, numerical integration, sensitivity analysis, and optimization. Prerequisite: B.S. in electrical engineering. Spring, 3 credits, grading ABCF.

ESE 531 Detection & Estimation Theory
Hypothesis testing and parameter estimation. Series representation of random processes. Detection and estimation of known signals in white and non-white Gaussian noise. Detection of signals with unknown parameters. Prerequisite: ESE 503 or permission of instructor. Spring, 3 credits, grading ABCF.

ESE 532 Theory of Digital Communication
Optimum receivers, efficient signaling, comparison classes of signal schemes. Channel capacity theorem, bounds on optimum system performance, encoding for error reduction, and the fading channel. Source coding and some coding algorithms. Prerequisite: ESE 503 or permission of instructor. Fall, 3 credits, grading ABCF.

ESE 535 Information Theory and Reliable Communications
Measures of information: entropy, relative entropy and mutual information. The asymptotic equipartition property. Lossless source coding: Kraft inequality and the source coding theorem. Introduction to error correcting codes. Continuous and waveform channels. Rate-distortion theory. Prerequisite: ESE 503 or equivalent or permission of instructor. Fall, 3 credits, grading ABCF.

ESE 536/CSE 626 Switching and Routing in Parallel and Distributed Systems (cross listed)This course covers various switching and routing issues in parallel and distributed systems. Topics include message switching techniques, design of interconnection networks, permutation, multicast and all-to-all routing in various networks, non-blocking and re-arrangeable capability analysis and performance modeling. Prerequisites: ESE 503 and 545 or CSE 502 and 547, or permission of the instructor. Fall, 3 credits, grading ABCF.

ESE 540 Reliability Theory
Theory of reliability engineering. Mathematical and statistical means of evaluating the reliability of systems of components. Analytical models for systems analysis, lifetime distributions, repairable systems, warranties, preventive maintenance and inspection. Software reliability and fault tolerant computer systems. Prerequisite: ESE 503 or permission of instructor. Fall, 3 credits, grading ABCF.

ESE 541 Digital System Design 
This course is only for students in the Optoelectromechanical Systems Eng. program and cannot be used to fulfill any ESE degree requirement. This course provides an introduction to digital and computer systems. The course follows a top-down approach to presenting design of computer systems, from the architectural-level to the gate-level. VHDL language is used to illustrate the discussed issues. Topics include design hierarchy and topdown design, introduction to hardware description languages, computer-aided design and digital synthesis, basic building blocks like adders, comparators, multipliers, latches, flip-flops, registers etc., static and dynamic random access memory, data and control buses, fundamental techniques for combinational circuit analysis and design, sequential circuit design procedures, and programmable logic devices. Testing of digital designs is addressed throughout the course. A mini project will complement the course. Spring, 3 credits, grading ABCF.

ESE 542/MEC 525 Product Design Concept Development and Optimization (cross listed)
This course will concentrate on the design concept development of the product development cycle, from the creative phase of solution development to preliminary concept evaluation and selection. The course will then cover methods for mathematical modeling, computer simulation and optimization. The concept development component of the course will also cover intellectual property and patent issues. The course will not concentrate on the development of any particular class of products, but the focus will be mainly on mechanical and electromechanical devices and systems. As part of the course, each participant will select an appropriate project to practice the application of the material covered in the course and prepare a final report. Prerequisite: Undergraduate electrical or mechanical engineering and/or science training. Fall, 3 credits, grading ABCF.

ESE 543 Mobile Cloud Computing Introduction to the basic concepts of mobile cloud computing, including: 1. The mobile computing technology used in modern smart phones; 2. The cloud computing technologies used in existing data centers; 3. The synergy of mobile and cloud computing and its applications; 4. Programming on smart phone utilizing data center services. Students will gain knowledge of: the fundamental principles, the major technologies that support mobile cloud computing, the current challenges and primary areas of research within the field, and a basic understanding of the role of mobile cloud computing in the context of the everyday living.  Spring, 3 credits, grading ABCF.

ESE 545 Computer ArchitectureCORE COURSE
The course covers uniprocessor and pipelined vector processors. Topics include: hierarchical organization of a computer system; processor design; control design; memory organization and virtual memory; I/O systems; balancing subsystem bandwidths; RISC processors; principles of designing pipelined processors; vector processing on pipelines; examples of pipelined processors. The course involves a system design project using VHDL. Prerequisite: ESE 318 or equivalent. Spring, 4 credits, grading ABCF.

ESE 546 Computer Communication Networks
An introduction to the quantitative and qualitative aspects of telecommunication networks. Continuous time and discrete time single queue system analysis. Data link, network and transport protocols layers. Network interconnection. Multiple access techniques. Flow and congestion control. High speed switching. Prerequisite: ESE 503 or permission of instructor. Fall, 3 credits, grading ABCF.

ESE 547 Digital Signal Processing
A basic graduate course in Digital Signal Processing. Sampling and reconstruction of Signals. Review of Z-Transform theory. Signal flow-graphs. Design of FUR and IIR filters. discrete and fast Fourier transforms., Introduction to adaptive signal processing. Implementation considerations. Prerequisites: Senior level course in signals and systems. Fall, 3 credits, grading ABCF.

ESE 548 Local & Wide Area Networking
Extended coverage of specific network protocols. Protocols covered include IEEE 802 Local area network protocols, Asynchronous Transfer Mode (ATM), Synchronous Optical Network (SONET), metropolitan area network protocols, backbone packet switching protocols and transport control protocol/Internet protocol (TCP/IP), network security, web server design and grid computing.
Prerequisite: ESE 546 or permission of instructor. As needed in industry. 3 credits, grading ABCF.

ESE 549 Advanced VLSI System Testing
This course is designed to acquaint students with fault diagnosis of logic circuits. Both combinatorial and sequential circuits are considered. Concepts of faults and fault models are presented. Emphasis is given to test generation, test selection, fault detection, fault location, fault location within a module and fault correction. Spring, 3 credits, grading ABCF.

ESE 550 Network Management and Planning
This course provides an introduction to telecommunications and computer network management and planning. Network management is concerned with the operation of networks while network planning is concerned with the proper evolution of network installations over time. Network management topics include meeting service requirements, management operations, management interoperability and specific architectures such as Telecommunications Management Network (TMS), and Simple Network Management Protocol (SNMP). Network planning topics include planning problem modeling, topological planning design, heuristic and formal solution techniques. Fall, 3 credits, grading ABCF.

ESE 551 Switching Theory and Sequential Machines
Survey of classical analysis and synthesis of combination and sequential switching circuits, followed by related topics of current interest such as error diagnosis and fail soft circuits, use of large-scale integration, logic arrays, automated local design. Prerequisite: ESE 318 or equivalent. Fall, 3 credits, grading ABCF.

ESE 552 Interconnection Networks
Formation and analysis of interconnect processing elements in parallel computing organization. Topics include: SIMD/MIMD computers, multiprocessors, multicomputers, density, symmetry, representations, and routing algorithms. Topologies being discussed include: Benes, Omega, Banyan, mesh, hypercube, cube-connected cycles, generalized chordal rings, chordal rings, DeBruijn, Moebius graphs, Cayley graphs and Borel Cayley graphs. Prerequisite: ESE 545 or equivalent. Fall, 3 credits, grading ABCF.

ESE 553 A/D and D/A Integrated Data Converters
This is an advanced course on analog integrated circuit design aspects for data converters. Topics include: continuous and discrete-time signals and systems; sampling theorem; ideal A/D and D/A converters; specifications and testing of data converters; basic building blocks in data converters: current sources and mirrors, differential gain stages, voltage references, S/H circuits, comparators: Nyquist D/A and A/D converters: principles of data conversion and circuit design techniques; over sampling data converters: low-pass and band-pass delta-sigma modulators, decimation and interpolation for delta-sigma data converters. The attending students must be acquainted with principles of transistor operation, function of simple analysis. Familiarity with SPICE is required. Fall, 3 credits, grading ABCF.

ESE 554 Computational Models for Computer EngineersCORE COURSE
This course covers mathematical techniques and models used in the solution of computer engineering problems. The course heavily emphasizes computer engineering application. Topics covered include set theory, relations, functions, graph theory and graph algorithms, computational complexity, ordering relations, lattices, Boolean algebras, combinations and algebraic structures. Fall, 3 credits, grading ABCF.

ESE 555 Advanced VLSI Circuit DesignCORE COURSE
Techniques of VLSI circuit design in the MOS technology are presented. Topics include MOS transistor theory, CMOS processing technology, MOS digital circuit analysis and design and various CMOS circuit design techniques. Digital systems are designed and simulated throughout the course using an assortment of VLSI design tools. Prerequisite: BS in Electrical Engineering or Computer Science. Spring, 3 credits, grading ABCF.

ESE 556 VLSI Physical and Logic Design Automation
Upon completion of this course, the students will be able to develop state-of-the-art CAD tools and algorithms for VLSI logic and physical design. Tools will address design tasks such as floor planning, module placement and signal routing. Also, automated optimization of combinational and sequential circuits will be contemplated.
Prerequisite: BS in Computer Engineering/Science or Electrical Engineering. Spring, 3 credits, grading ABCF.

ESE 557 Digital Signal Processing II: Advanced Topics
A number of different topics in digital signal processing will be covered, depending on class and current research interest. Areas to be covered will include the following: parametric signal modeling, spectral estimation, multirate processing, advanced FFT and convolution algorithms, adaptive signal processing, multidimensional signal processing for inverse problems. Students will be expected to read and present current research literature. Prerequisite: ESE 547 or permission of instructor. Spring, 3 credits, grading ABCF.

ESE 558 Digital Image Processing I
Covers digital image fundamentals, mathematical preliminaries of two-dimensional systems, image transforms, human perception, color basics, sampling and quantization, compression techniques, image enhancement, image restoration, image reconstruction from projections, and binary image processing. Prerequisite: BS in engineering or physical or mathematical sciences. Spring. 3 credits, grading ABCF.

ESE 559 Digital Image Processing II
The course material will proceed directly from DIP-I starting with image reconstruction from projections. After the basic projection theorems are developed, computerized axial tomography techniques will be examined in detail including forward and inverse random transformations, convolution, back projection and Fourier reconstruction: nuclear magnetic resonance imaging and positron emission tomography will be similarly covered. Surer resolution concepts will be developed and applied to a variety of remote sensing applications as well as digital image coding for efficient transmission of digital TV imagery. Prerequisite: ESE 558. Spring, 3 credits, grading ABCF.

ESE 560 Optical Information Processing
The course is designed to give the student a firm background of the fundamentals of optical information processing techniques. It is assumed that the student is familiar with complex algebra and is conversant with the principles of linear system theory and Fourier transformation. The body of the course is concerned with the scalar treatment of diffraction and its application to the study of optical imaging techniques and coherent and incoherent optical processors. Prerequisite: Bachelor's degree in Physical Sciences. Spring, 3 credits, grading ABCF.

ESE 563 Fundamentals of Robotics I
This course covers: homogenous transformations of coordinates; kinematic and dynamic equations of robots with their associated solutions; control and programming of robots. Prerequisite: Permission of instructor. Fall, 3 credits, grading ABCF.

ESE 565 Parallel Processing Architectures
The course provides a comprehensive introduction to parallel processing. Topics include; types of parallelism, classification of parallel computers; functional organizations, interconnection networks, memory organizations, control methods, parallel programming, parallel algorithms, performance enhancement techniques and design examples for SIMD array processors, loosely coupled multiprocessors, tightly coupled multiprocessors will be discussed; a brief overview of dataflow and reduction machines will also be given. Prerequisite: ESE 545 or equivalent. Spring, 3 credits, grading ABCF.

ESE 566 Hardware-Software Co-Design of Embedded Systems
This course will present state-of-the-art concepts and techniques for design of embedded systems consisting of hardware and software components. Discussed topics include system specification, architectures for embedded systems performance modeling and evaluation, system synthesis, and validation. The course is complemented by three mini-projects focused on designing and implementing various co-design methods. Prerequisite: ESE 545, ESE 554 and ESE 333. Fall, 3 credits, grading ABCF.

ESE 568 Computer and Robot Vision
Principles and applications of computer and robot vision are covered. Primary emphasis is on techniques and algorithms for three-dimensional machine vision. The topics include image sensing of three- dimensional scenes, a review of two-dimensional techniques, image segmentation, stereo vision, optical flow, time-varying image analysis, shape-from-shading, texture, depth-from- defocus matching, object recognition, shape representation, interpretation of line drawings, and representation and analysis of 3D range data. The course includes programming projects on industrial applications of robot vision.
Prerequisite: BS in Engineering or Physical or Mathematical Sciences. Fall, 3 credits, grading ABCF.

ESE 570 Bioelectronics
Origin of bioelectric events; ion transport in cells, membrane potentials; neural action potentials and muscular activity, cortical and cardiac potentials. Detection and measurement of bioelectric signals; impedance measurements used to detect endocrine activity, perspiration and blood flow; impedance cardiography, vector cardiography; characteristics of transducers and tissue interface; special requirements for the amplification of transducer signals. Fall, 3 credits, grading ABCF.

ESE 575 Advanced VLSI Signal Processing Architecture
This course is concerned with advanced aspects of VLSI architecture in digital signal processing and wireless communications. The first phase of the course covers the derivation of both data transformation and control sequencing from a behavioral description of an algorithm. The next phase reviews the general purpose and dedicated processor for signal processing algorithms. This course focuses on low-complexity high-performance algorithm development and evaluation, system architecture modeling, power-performance tradeoff analysis. The emphasis is on the development of application-specific VLSI architectures for current and future generation of wireless digital communication systems. An experimental/research project is required.
Prerequisite: ESE 355 or equivalent. ESE 305 or ESE 337 or equivalent. ESE 306 or ESE 340 or equivalent. ESE 380 or equivalent. Spring, 3 credits, grading ABCF.

ESE 580, 581 Microprocessor-Based Systems, Engineering I and II
This course is a study of methodologies and techniques for the engineering design of microprocessor-based systems. Emphasis is placed on the design of reliable industrial quality systems. Diagnostic features are included in these designs. Steps in the design cycle are considered. Specifically, requirement definitions, systematic design implementation, testing, debugging, documentation and maintenance are covered. Laboratory demonstrations of design techniques are included in this course. The students also obtain laboratory experience in the use of microprocessors, the development of systems, circuit emulation and the use of signature and logic analyzers. Fall, Spring, 4 credits, each semester, grading ABCF.

ESE 588 Pattern Recognition
Basic concepts of pattern recognition techniques are introduced, including statistical pattern recognition, syntactic pattern recognition and graph matching. Topics on Bayes decision theory, parametric and nonparametric techniques, clustering techniques, formal languages, parsing algorithms and graph matching algorithms are covered. Prerequisite: Stochastic Processes and Data Structures. Spring, 3 credits, grading ABCF.

ESE 591 Industrial Project in OEMS Engineering
Students must carry out a detailed design of an industrial project in Optoelectromechanical Systems engineering. A comprehensive technical report of the project and an oral presentation are required. Fall, 3 credits, grading ABCF.

ESE 597 Practicum in Engineering (Internship) Non-Regular Course
This course is for part-time and full-time students who will be on Curricular Practical Training (CPT). CPT is defined as training that is an integral part of an established curriculum. Participation is in private corporations, public agencies or non-profit institutions. Students will be required to have a faculty coordinator as well as a contact in the outside organization, to participate with them in regular consultations on their project and to submit a final report to both. Registration must have the prior approval of the Graduate Program Director. Fall and Spring and Summer, variable credit. Grading, S/U.

ESE 599 Research (for students in the Master’s program) Non-Regular Course
Fall and Spring, variable and repetitive credit, Grading S,U.

ESE 610 Seminar in Solid-State Electronics
Current research in solid-state devices and circuits and computer-aided network design. Fall and Spring, 3 credits, grading .

ESE 670 Topics in Electrical Sciences
Varying topics selected from current research topics. This course is designed to give the necessary flexibility to students and faculty to introduce new material into the curriculum before it has attracted sufficient interest to be made part of the regular course material. Topics include: a) Biomedical Engineering; b) Circuit Theory; c) Controls; d) Electronics Circuits; e) Digital Systems and Electronics; f) Switching Theory and Sequential Machines; g) Digital Signal Processing; h) Digital communications; i) Computer Architecture; j) Networks; k) Systems Theory; l) Solid State Electronics; m) Integrated Electronics; n) Quantum Electronics and Lasers; o) Communication Theory; p) Wave Propagation; q) Integrated Optics; r) Optical Communications and Information Processing; s) Instrumentation; t) VLSI Computer Design and Processing. Fall and Spring, variable and repetitive credit.

ESE 691 Seminar in Electrical Engineering
This course is designed to expose students to the broadest possible range of the current activities in electrical engineering. Speakers from both on and off campus discuss topics of current interest in electrical engineering.
Fall and Spring, 1 credit, repetitive, grading S,U

ESE 697 Ph.D. Practicum in Teaching - *3 credits are required for Ph.D. degree
This course provides hands-on experience in classroom teaching. Other activities may include preparation and supervision of laboratory experiments, exams, homework assignments, and projects. Final report that summarizes the activities and provides a description of the gained experience and a list of recommendations is required. 3 credits, grading ABCF.
*Prerequisite: G5 status and Permission of Graduate Program Director. Students must inform the department TWO weeks prior to the beginning of each semester, if they plan on taking ESE 697. The graduate program director will then assign you to a course.

ESE 698 Practicum in Teaching Non-Regular Course
This course enables graduate students to gain experience in teaching and interacting with students enrolled in an electrical and computer engineering courses. Students enrolled in ESE 698 are expected to perform various teaching duties required by the course instructor, such as attending lectures, providing office hours, holding review/recitation sessions, assisting in lab sections, grading, etc. Fall, Spring and Summer, variable and repetitive, grading ABCF.

ESE 699 Dissertation (Research On Campus) Non-Regular Course
Students should register for this if the major portion of their research will take place on Stony Brook University campus, Cold Spring Harbor or Brookhaven National Lab.
Fall and Spring, variable and repetitive credit, grading S,U.

ESE 700 Dissertation Research (Off Campus – Domestic) Non-Regular Course
Students should register for this when a major portion of their research will take place off-campus but in the United States and/or U.S. provinces (please note that Brookhaven National Labs and Cold Spring Harbor are considered on-campus). All international students who register for ESE 700 must enroll in one of the graduate student employee insurance plans and should be advised by an International Advisor. Fall and Spring, variable and repetitive credit, grading S,U.

ESE 701 Dissertation Research (Off Campus – INTERNATIONAL) Non-Regular Course
Students should register for this when a major portion of their research will take place outside of the United States and/or U.S. provinces. In these cases, domestic students have the option of the health plan and may also enroll in MEDEX.
International students should note the following:
• International students who are in their home country are NOT covered by the mandatory health plan and must contact the Insurance Office for the insurance charge to be removed.
• International students who are not in their home country ARE charged for the mandatory health insurance. If they are to be covered by another insurance plan, they must file a waiver by the second week of classes. The charge will only be removed if the other plan is deemed comparable.
• All international students must receive clearance from an International Advisor. Fall and Spring, variable and repetitive credit, grading S,U.

ESE 800 Full-Time Summer Research
0 Credits, S/U grading


Department of Electrical and Computer Engineering • Stony Brook University, Stony Brook, NY 11794-2350 • Phone : 631-632-8400 or Fax : 631-632-8494
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