2013-2014 Undergraduate and Graduate Catalog (without addenda) [ARCHIVED CATALOG]
Course Descriptions
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A Brief Guide to Course Descriptions
Each program described in this catalog contains detailed descriptions of the courses offered within the program.
The first line gives the official course number for which students must register and the official course title. The letters indicate the discipline of the course and the first number of the official course numbers indicates the level of the course. The levels are as follows:
- 1XXX - Freshman Level
- 2XXX - Sophomore Level
- 3XXX - Junior Level
- 4XXX - Senior Level
- 5XXX to 9XXX - Graduate level
Typically the last number of the course number indicates the number of credits. The breakdown of periods of the course is also listed.
When selecting a course for registration, the section of the course may include the following notations:
- “LEC” - lecture section
- “RCT” or “RC” - recitation section
- “LAB” or “LB” - lab section
Additionally, any other letter or digit listed in the section will further identify the section and being liked to another section of the class with the same letter and/or digit combination. Further information on sections is available from academic advisers during registration periods.
The paragraph description briefly indicates the contents and coverage of the course. A detailed course syllabus may be available by request from the office of the offering department.
“Prerequisites” are courses (or their equivalents) that must be completed before registering for the described course. “Co-requisites” are courses taken concurrently with the described course.
The notation “Also listed…” indicates that the course is also given under the number shown. This means that two or more departments or programs sponsor the described course and that students may register under either number, usually the one representing the student’s major program. Classes are jointly delivered. |
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Electrical Engineering Undergraduate Courses
Students should consult departmental adviser postings, handouts and the department’s website for changes in required courses, course contents and prerequisites that go into effect after this catalog is published.
General prerequisites: students may not register for any junior- or senior-level courses until they complete all freshman and most sophomore requirements. For all EE courses, the Institute assumes knowledge of computer programming at the level of CS 1113 and of computational mathematics packages used in calculus courses.
Note: Elective courses whose identifiers have three numerical digits (e.g., EE 107 ) are listed after the courses having identifiers with four numerical digits. Courses with identifiers of the form EL XYZ, available as senior electives, are listed with graduate EE
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EE 4144 Introduction to Embedded Systems Design 4 Credits
The course covers architecture and operation of embedded microprocessors; microprocessor assembly language programming; address decoding; interfacing to static and dynamic RAM; Serial I/O, Parallel I/O, analog I/O; interrupts and direct memory access; A/D and D/A converters; sensors; microcontrollers. Alternate-week laboratory. Objectives: to provide foundations of embedded systems design and analysis techniques; expose students to system level design; and teach integration of analog sensors with digital embedded microprocessors.
Prerequisite(s): CS 2204 (C- or better) and EE 2024 (C- or better).
Note: ABET competencies: a, c, d, e, g, j, k.
Weekly Lecture Hours: 3.5 | Weekly Lab Hours: 1.5 | Weekly Recitation Hours: 0
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EE 4153 EE DPI- Multimedia 3 Credits
DP I provides significant background laboratory experience in the student’s area of concentration. Students begin independent projects by finding an adviser and initiating the project work, and exercising oral presentation and written communication skills.
Prerequisite(s): completion of all junior-level technical courses.
Also listed under: EL 5143
Note: ABET competencies: a, b, c, e, f, g, k.
Weekly Lecture Hours: 0 | Weekly Lab Hours: 6 | Weekly Recitation Hours: 1
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EE 4163 EE DPI - Digital Signal Processing Lab 3 Credits
DP I provides significant background laboratory experience in the student’s area of concentration. Students begin independent projects by finding an adviser and initiating the project work, and exercising oral presentation and written communication skills.
Prerequisite(s): completion of all junior-level technical courses.
Also listed under: EL 6183
Note: ABET competencies: a, b, c, e, f, g, k.
Weekly Lecture Hours: 1 | Weekly Lab Hours: 3 | Weekly Recitation Hours: 1
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EE 4173 EE DPI- Telecommunication Networks 3 Credits
DP I provides significant background laboratory experience in the student’s area of concentration. Students begin independent projects by finding an adviser and initiating the project work, and exercising oral presentation and written communication skills.
Prerequisite(s): completion of all junior-level technical courses DP I provides significant background laboratory experience in the student’s area of concentration. Students begin independent projects by finding an adviser and initiating the project work, and exercising oral presentation and written communication skills. Corequisite(s): EE 136 .
Also listed under: EL 5373 .
Note: ABET competencies: a, b, c, e, f, g, k.
Weekly Lecture Hours: 1 | Weekly Lab Hours: 3 | Weekly Recitation Hours: 1
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EE 4183 EE DP I-Wireless Communication 3 Credits
DP I provides significant background laboratory experience in the student’s area of concentration. Students begin independent projects by finding an adviser and initiating the project work, and exercising oral presentation and written communication skills.
Prerequisite(s): completion of all junior-level technical courses and EE 3404 .
Also listed under: EL 5023 .
Note: ABET competencies: a, b, c, e, f, g, k.
Weekly Lecture Hours: 1 | Weekly Lab Hours: 3 | Weekly Recitation Hours: 1
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EE 4223 Electrical Engineering Design Project II 3 Credits
In this concluding phase of the Design Project, students and their advisers continue to work on the independent project begun in the previous semester. The final project builds upon analytical and laboratory skills developed in previous required and elective courses. The project may be an individual one, or may be carried out by a student team working with a faculty group adviser. The final Capstone Project also may be a multidisciplinary project carried out with students from other departments.
Prerequisite(s): EE 41x3 [One of the following: or or or or or or or .
Note: ABET competencies: a, b, c, d, e, f, g, h, i, j, k.
Weekly Lecture Hours: 0 | Weekly Lab Hours: 6 | Weekly Recitation Hours: 1
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EE 4313 Computer Engineering Design Project I 3 Credits
Lectures and experiments introduce computer hardware organization, assembly language programming and interfacing computer hardware to physical devices. This course exercises the student’s oral presentation and written communication skills, and provides background necessary for beginning independent project work. Students find an adviser and choose DP II course project.
Prerequisite(s): completion of all junior-level technical courses, including minimum grade requirements.
Note: ABET competencies: a, b, c, e, f, g, k.
Weekly Lecture Hours: 1 | Weekly Lab Hours: 3 | Weekly Recitation Hours: 1
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EE 4323 Computer Engineering Design Project II 3 Credits
Students work with faculty advisers in this concluding phase of their Capstone Project. This project builds upon the analytical and laboratory skills developed in previous required and elective courses. The project may be an individual one, or carried out by a team of students working with a faculty group adviser. The project also may be multidisciplinary, carried out with students from other departments. Students are required to make oral and written presentations.
Prerequisite(s): EE 4313 or .
Note: ABET competencies: a, b, c, d, e, f, g, h, i, j, k.
Weekly Lecture Hours: 0 | Weekly Lab Hours: 6 | Weekly Recitation Hours: 1
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EE 4414 Multimedia Communication Systems II 4 Credits
This course is Part II of an approved Institute Sequence in Multimedia Communications. Topics: analog and digital video format, properties of human visual systems, multiplexing of separate color components, video-coding methods and standards, analog and digital TV systems. Policy and business issues in TV system development. Video conferencing systems, video streaming over the Internet, Internet protocols for real-time applications. Requires one-term project on a topic related to the course content by a team of two or more students. Objectives: to understand basic techniques for video processing and principles of television systems and real-time services over the Internet.
Prerequisite(s): EE 3414 or EE 3054 , or sufficient knowledge of Fourier Transforms.
Note: ABET competencies: a, b, d, g, h, k.
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EE 4823 Electric and Hybrid Vehicles 3 Credits
Electric and hybrid vehicles mechanical fundamentals. DC, induction, and permanent magnet ac motors and drives. Regenerative breaking. Automotive power electronics. Fuel cells for electric vehicles. Electric Energy storage. The class meets four hours a week for lectures and recitation.
Prerequisite(s): EE 3824 and PH 2033 .
Note: ABET competencies: a, c, h, k.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 1
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EE/CS 1012 Introduction to Computer Engineering 2 Credits
This course helps students to understand computer engineering as a balance among hardware, software, applications and theory, the notion of abstraction, computer layers and how they relate to various aspects of computer engineering, implementation of abstract and physical computer layers: Number systems, digital logic, basic processor structure, instruction set architecture, machine languages, assembly languages and high-level programming in C. Other computer concepts, including compilers, operating systems and algorithms, are presented, along with the simulator concept and its usage for understanding computer design, testing and analysis. Experts present special topics in the area. Also discussed are invention, innovation, entrepreneurship and ethics in these topics and in Computer Engineering.
Also listed under: and .
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Electrical Engineering (Graduate) |
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EL 90X3 Selected Topics in Wireless Communication (X=1, 2, 9) 3 Credits
This course covers selected topics of current interest in wireless communications. (See department for detailed description of each particular offering.)
Prerequisite(s): Specified when offered.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 91X3 Selected Topics in Signal Processing (X=1, 2,…9) 3 Credits
The course centers on selected topics of current interest in signals and systems. (See departmental mailing for detailed description of each particular offering.)
Prerequisite(s): Specified when offered.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 92X3 Selected Topics in Control Systems (X=1, 2,…9) 3 Credits
The course discusses topics of current interest to feedback and control-system engineers. (See department mailing for detailed description of each particular offering.)
Prerequisite(s): Specified when offered.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 93X3 Selected Topics in Telecommunications and Networking (X=1, 2,…9) 3 Credits
The course covers selected topics of current interest in telecommunications and networking. (See departmental mailing for detailed description of each particular offering.)
Prerequisite(s): Specified when offered.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 94X3 Selected Topics in Computer Electronic Devices and Systems (X=1, 2,…9) 3 Credits
This course examines special topics of current interest in the field of electronic devices, circuits and systems. (See departmental mailing for detailed description of each particular offering.)
Prerequisite(s): Specified when offered.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 95X3 Selected Topics in Electro- Optics, Quantum Electronics and Material Science (X=1, 2,…9) 3 Credits
The course covers topics of current interest dealing with the interaction of matter with electromagnetic fields. (See department mailing for detailed description of each particular offering.)
Prerequisite(s): Specified when offered.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 96X3 Selected Topics in Power Engineering (X=1, 2,…9) 3 Credits
The course looks at topics of current interest in electric power engineering. (See departmental mailing for detailed description of each particular offering.
Prerequisite(s): Specified when offered.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 97X3 Selected Topics in Electrodynamics, Wave Phenomena and Plasmas (X=1, 2,…9) 3 Credits
The course discusses topics of current interests in plasmas, electromagnetic and acoustic wave propagation, diffraction and radiation, including wave interactions with plasmas, materials and special mathematical and numerical techniques. (See departmental mailing for detailed description of each particular offering.)
Prerequisite(s): Specified when offered.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 997x MS Thesis in Electrical & Computer Engineering Department Variable Credits Credits
The student is required to conduct a theoretical and/or experimental project in a research area in electrical engineering, computer engineering, electrophysics, system engineering, or telecommunication networks. The project is chosen based on the student’s specialized interest and preparation and is guided by a faculty member who is expert in the chosen subject. Oral-thesis defense and formal, bounded thesis are required. Registration of at least 6 credits over continuous semesters is required. A student must secure a thesis adviser before registration.
Prerequisite(s): Degree status.
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EL 999X PhD Dissertation in Electrical Engineering Variable Credits Credits
The dissertation is an original investigation of an electrical-engineering problem. The work must demonstrate creativity and include features of originality and utility worthy of publication in a recognized journal. Candidates must successfully defend their dissertations orally and submit a bounded thesis. Registration of at least 21 credits over continuous semesters is required.
Prerequisite(s): Passing grade for RE 9990 PhD Qualifying Exam
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EL 5013 Wireless Personal Communication Systems 3 Credits
The course introduces underlying principles of wireless communications and practical systems. Topics: Science and technology including radio signal propagation, interference- limited communications, multiple access, radio resources management and mobility management. Building blocks of wireless networks. Essential functions of cellular telephone systems and wireless local area networks. Details of the most important technologies including GSM, CDMA, wideband CDMA and WiFi (IEEE802.11).
Prerequisite(s): EE 3404 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5023 Wireless Information Systems Laboratory I 3 Credits
This course includes hands-on experience with a combination of laboratory experiments, lectures and projects relating to spread spectrum code division multiple access (CDMA) wireless communication systems. Specific topics include pseudo-noise code generation, transmitters and receivers for direct sequence and frequency hopping systems, acquisition and tracking, CDMA wireless computer communications, UHF channel propagation characteristics including multipath time delay profiles and attenuation measurements, bit error rate measurements, phase locked loops and spectrum sharing with existing narrowband users.
Prerequisite(s): Graduate status or EE 3404 .
Also listed under: EE 4183 .
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 4.5 | Weekly Recitation Hours: 0
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EL 5033 Wireless Information Systems Laboratory II 3 Credits
This course includes hands-on experience with a combination of laboratory experiments, lectures and projects relating to basic and advanced topics in wireless communications. Specific topics include mixers, IQ modulation, phase locked loops, receiver design, PN code acquisition, smart antennas and RFID.
Prerequisite(s): EL 5023 .
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 4.5 | Weekly Recitation Hours: 0
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EL 5123 Image Processing 3 Credits
The course focuses on image formation and perception; image acquisition, representation and display; image sampling and resizing; contrast enhancement; two-dimensional Fourier transform and other unitary transforms; frequency domain and spatial domain linear filtering; median and morphological filtering; image smoothing, sharpening and edge detection through linear and nonlinear filtering; color image representation and processing; lossless and lossy image coding techniques and standards, image debluring; imaging geometry, image registration and geometric transformation. Students also learn to implement selected imaging processing algorithms in MATLAB or C-language.
Prerequisite(s): Graduate student status or EE 3054 and MA 3012 .
Also listed under: BE 6223 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5143 Multimedia Laboratory 3 Credits
This course provides hands-on experience in processing and communication of speech, audio, image and video signals. Topics include sampling and quantization, sampling rate conversion, lossless and lossy compression, basic techniques in speech, audio, image and video coding, multimedia conferencing, video on-demand, video multicasting, multimedia document creation. Students are exposed to popular software and hardware for multimedia signal processing and document creation. Each week includes a lecture and a lab.
Prerequisite(s): Graduate status or EE 3054 or equivalent.
Also listed under: EE 4153 .
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 4.5 | Weekly Recitation Hours: 0
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EL 5213 Introduction to Systems Engineering 3 Credits
This course introduces fundamentals of systems engineering process. Topics: Multidisciplinary systems methodology, design and analysis of complex systems. Brief history of systems engineering. Mathematical models. Objective functions and constraints. Optimization tools. Topics to be covered include identification, problem definition, synthesis, analysis and evaluation activities during conceptual and preliminary system design phases. Decision analysis and utility theory. Information flow analysis in organizations. Elements of systems management, including decision styles, human information processing, organizational decision processes and information system design for planning and decision support. Basic economic modeling and analysis. Requirements development, life-cycle costing, scheduling and risk analysis. Application of computer-aided systems engineering (CASE) tools.
Prerequisite(s): Graduate status.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5223 Sensor Based Robotics 3 Credits
The course covers robot mechanisms, robot arm kinematics (direct and inverse kinematics), robot arm dynamics (EulerLagrange, Newton-Euler and Hamiltonian Formulations), six degree-of-freedom rigid body kinematics and dynamics, quaternion, nonholonomic systems, trajectory planning,various sensors and actuators for robotic applications, end-effector mechanisms, force and moment analysis, introduction to control of robotic manipulators.
Prerequisite(s): Graduate status. Corequisite(s): EE 3064 . Pre/Co-requisite: EE 3064 .
Also listed under: ME 6613 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5253 Applied Matrix Theory 3 Credits
The course focuses on in-depth introduction to theory and application of linear operators and matrices in finite-dimensional vector space. Topics: determinants, eigenvalues and eigenvectors. Theory of linear equations. Canonical forms and Jordan canonical form. Matrix analysis of differential and difference equations. Singular value decomposition. Variational principles and perturbation theory. Numerical methods.
Prerequisite(s): Graduate status, MA 2012 , MA 2132 , MA 2112 and MA 2122 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5363 Principles of Communication Networks 3 Credits
This course covers all fundamental aspects of communications networks. Topics are: protocol architecture, data transmission and signal encoding, multiplexing, spread spectrum, data link control, local area networks, wireless LAN, circuit switching, packet switching, routing, traffic control, Internet protocol, transport layer protocol, application design and the basics of network security.
Prerequisite(s): MA 3012 or instructor’s permission.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5373 Internet Architecture and Protocols 3 Credits
This course introduces basic local area networking technologies and protocols in a set of lectures and laboratory experiments. Topics: link level protocols. Local area networks: CSMA/CD, Token Ring, IEEE standards and protocols. The Internet protocol suite: IP, ARP, RARP, ICMP, UDP and TCP. LAN Interconnection: bridges, routers and gateways. Application protocols: SNMP, FTP, SMTP and NFS.
Prerequisite(s): EL 5363 or EE 136 .
Also listed under: EE 4173 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5463 Introduction to RF/Microwave Integrated Circuits 3 Credits
The course topics include: review of transmission lines and smith chart. Introduction of signal graphs technique. Noise in microwave circuits. Introduction to active devices for RF and microwave circuits. S-parameter modeling. Design of amplifiers, stability analysis and examples. Oscillators and mixers. Transistor and dielectric resonator oscillators. Design considerations and examples. Introduction to microwave systems.
Prerequisite(s): EE 3604 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5473 Introduction to VLSI System Design 3 Credits
This course covers CMOS processing technology, MOS transistor theory, static/dynamic circuit and logic design techniques, circuit performance estimation, standard cells and gate arrays, clocking strategies, input/output structures, data path, memory and control logic design. Advanced VLSI CAD tools are used for schematic capture, layout, timing analysis and simulations for functionality and performance.
Prerequisite(s): Senior or graduate status, CS 2204 and EE 3114 or equivalent.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5483 Real Time Embedded Systems 3 Credits
This course provides an overview of the unique concepts and techniques needed to design and implement computer systems having realtime response requirements in an embedded environment. It contrasts the concepts and techniques of real time and embedded systems with those of more traditional computer systems. Topics include: Basic concepts of real time and embedded systems, hardware features, programming languages, real time operating systems, synchronization techniques, performance optimization and current trends in real time and embedded systems such as incorporating internet connectivity.
Prerequisite(s): Knowledge of C, Pascal or other programming language and a basic understanding of computer architecture.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5493 Advanced Hardware Design 3 Credits
This course shows how a hardware-description language (for example, VHDL) can be used for computer hardware modeling, logic synthesis, register-level synthesis and simulation. The resulting design with hundreds or thousands of gates is then ready to be downloaded to form FPGA chips or silicon cells. Programs used: QuickVHDL, modeling and simulation tools from Mentor Graphics or similar large-scale programs. A design project is required and students make a written and oral presentation.
Prerequisite(s): Graduate status.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5533 Physics of Nanoelectronics 3 Credits
The course covers limits to the ongoing miniaturization (Moore’s Law) of the successful silicon device technology imposed by physical limitations of energy dissipation, quantum tunneling and discrete quantum electron states. Topics: quantum physical concepts and elementary Schrodinger theory. Conductance quantum and magnetic flux quantum. Alternative physical concepts for devices of size scales of 1 to 10 nanometers, emphasizing role of power dissipation. Tunnel diode, resonant tunnel diode, electron wave transistor; spin valve, tunnel valve, magnetic disk and random access memory; single electron transistor, molecular crossbar latch, quantum cellular automata including molecular and magnetic realizations. Josephson junction and rapid single flux quantum’ computation. Photo- and x-ray lithographic patterning, electron beam patterning, scanning probe microscopes for observation and for fabrication; cantilever array as dense memory, use of carbon nano tubes and of DNA and related biological elements as building blocks and in self-assembly strategies.
Prerequisite(s): PH 2033 .
Also listed under: PH 5493 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5553 Physics of Quantum Computing 3 Credits
The course focuses on limits to the performance of binary computers, traveling salesman and factorization problems, security of encryption. Topics: the concept of the quantum computer based on linear superposition of basis states. The information content of the qubit. Algorithmic improvements enabled in the hypothetical quantum computer. Isolated two-level quantum systems, the principle of linear superposition as well established. Coherence as a limit on quantum computer realization. Introduction of concepts underlying present approaches to realizing qubits (singly and in interaction) based on physical systems. The systems under consideration are based on light photons in fiber optic systems; electron charges in double well potentials, analogous to the hydrogen molecular ion; nuclear spins manipulated via the electron nuclear spin interaction and systems of ions such as Be and Cd which are trapped in linear arrays using methods of ultra-high vacuum, radiofrequency trapping and laser-based cooling and manipulation of atomic states. Included: summary and comparison of the several approaches.
Prerequisite(s): PH 2033 .
Also listed under: PH 5553 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5613 Introduction to Electric Power Systems 3 Credits
The course focuses on basic concepts in electric power systems. Topics: single-and-three-phase circuits, power triangle; transmission lines parameters: resistance, inductance, capacitance, transformers and generators; lumpedcomponent piequivalent circuit representation; perunit normalization; symmetrical phase components; load-flow program.
Prerequisite(s): EE 2024 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5623 Finite Elements for Electrical Engineering 3 Credits
This course introduces the finite elements method for solving electrical engineering problems. Topics: a refresher of basic concepts of electromagnetism. Introduction to the solution methods of partial differential equations. Comparative summary of the solution methods for Maxwell equations. Finite elements, Garlekin and least squares approaches. Description of some commercial software packages. In this hands-on course, students do assignments and final projects using the finite elements software COMSOL Multiphysics.
Prerequisite(s): Graduate status or EE 3604 and EE 3824 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5663 Physics of Alternative Energy 3 Credits
This course concentrates on non-petroleum sources of energy include photovoltaic cells, photocatalytic generators of hydrogen from water and nuclear fusion reactors. Topics: advanced physics of these emerging technical areas are introduced in this course. Semiconductor junctions, optical absorption in semiconductors, photovoltaic effect. Energy conversion efficiency of the silicon solar cell. Single crystal, polycrystal and thin film types of solar cells. Excitons in bulk and in confined geometries. Excitons in energy transport within an absorbing structure. Methods of making photocatalytic surfaces and structures for water splitting. Conditions for nuclear fusion. Plasmas and plasma compression. The toroidal chamber with magnetic coils as it appears in recent designs. Nuclear fusion by laser compression (inertial fusion). Small-scale exploratory approaches to fusion based on liquid compression and electric field ionization of deuterium gas.
Prerequisite(s): PH 2033 .
Also listed under:
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5673 Electronic Power Supplies 3 Credits
This course covers following topics: Review of power relationships. Power semiconductor switching devices. Rectifiers. Basic PWM dc-dc switching cells. Non-isolated and isolated PWM dc-dc converters. Control of PWM converters. Resonant and softswitching converters. Low drop-out (LDO) voltage regulators. Switched capacitor charge pumps. PWM inverters. Applications to computer equipment, portable units, distributed power systems, uninterruptible power supplies and electric drives. Power quality and EMI issues. American and International power-supply standards.
Prerequisite(s): EE 3824 or equivalent.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5683 Electric Drives Characteristics and Controls 3 Credits
The course centers on conversion of load (resistive) torque, inertia, mass and force to a rotating shaft; acceleration and deceleration times; motor power-rating selection; thermal consideration at different duty cycles; load diagram construction; four-quadrant speed control operation for DC and AC motors; Worked examples.
Prerequisite(s): EE 3824 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5733 RF and Microwave Systems Engineering 3 Credits
The course covers following topics: Review of electromagnetic theory and transmission lines. Printed transmission lines. S, Z, Y, ABCD parameters, network theory, signal flow graphs, CAD methods. Excitation of waveguides. Single and multisection impedance transformer, power divider, directional coupler, hybrid circuits. Microwave resonator: series, parallel resonators, stubs and cavities. Filter theory and designs, coupled-line filters, Kuroda identities, Chebychev and maximally flat filters.
Prerequisite(s): Graduate status or EE 3604 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5753 Introduction to Plasma Engineering 3 Credits
The course focuses on basic plasma concepts and applications; parameters describing the plasma; motion of charged particles in electromagnetic fields; effect of particle collisions on plasma transport: diffusion and mobilities. Plasmas as dielectric media; plasma dielectric response functions for collective plasma oscillations and for electromagnetic wave propagation in plasma. Plasmas for practical applications.
Prerequisite(s): Graduate status or EE 3604 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5813 Biomedical Instrumentation 3 Credits
This course gives an overview on the theory, design and application of biomedical instrumentation used for diagnosis, monitoring, treatment and scientific study of physiological systems. The objective of this course is to enable students to design, build and test useful circuits, and to interface them with a computer using a data acquisition system for further signal analysis and processing.
Prerequisite(s): A course in circuits including Op-Amps (eg. EE 2024 ) and programming experience.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 5823 Medical Imaging I 3 Credits
This course introduces the physics, instrumentation and signal processing methods used in X-ray imaging (projection radiography), X-ray computed tomography, nuclear medicine (SPECT/PET), ultrasound imaging, magnetic resonance imaging and optical imaging. Co-listed with BE 6203
Prerequisite(s): Undergraduate level courses in multivariable calculus (MA 2112, MA 2122), physics (PH 2033), probability (MA 3012), signals and systems (EE 3054). Students who do not have prior courses in signals ans systems must take EL/6113/BE6403 SIGNALS, SYSTEMS AND TRANSFORMS as a prerequisite or must obtain instructor’s approval; EL5123/BE6223 IMAGE PROCESSING is also recommended but not required.
Also listed under: BE 6203 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6013 Principles of Digital Communications: Modulation and Coding 3 Credits
The course covers following topics: Principles of Mary communication: signal space methods, optimum detection. Fundamental parameters of digital communication systems, various modulation techniques and their performance in terms of bandwidth efficiency and error probability. Efficient signaling with coded waveforms. Block coding and convolutional coding. Joint modulation and coding. Equalization for communication over bandlimited channels. Brief overview of digital communications over fading multipath channels.
Prerequisite(s): EE 3404 and EL 6303 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6023 Wireless Communications: Channel Modeling and Receiver Design 3 Credits
The course focuses on wireless communication channel models and practical techniques for mitigating transmission impairments. Topics: Channel Modeling Parameters: Path loss; Fading: long-term vs. short-term fading, flat vs. frequency selective fading and slow vs. fast fading; Multipath spread parameters: delay spread, angular spread and Doppler spread, Matrix Channel Modeling for Multiple Input and Multiple Output (MIMO) Systems. Channel Parameter Estimation: training sequence and blind approaches. Mitigation: Mitigation of path loss and fading: Diversity, handoff and power control; Mitigation of intersymbol interference: rake receiver and equalizer; Mitigation of time variation: pilot symbols and dynamic tracking. Processing Techniques: LS, zero forcing, MMSE, LMS, etc.
Prerequisite(s): Graduate status or EE 3404 , MA 3012 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6033 Modern Wireless Communication Techniques and Systems 3 Credits
The course covers Multiple Access and Multiplexing Techniques; Spread spectrum and Code division multiple access (CDMA) techniques: Direct sequence, Frequency hopping; Multicarrier Techniques: Orthogonal frequency division (OFDM) and Multicarrier CDMA (MC-CDMA); New Wireless Communication Systems: Ultra Wideband communications, Wireless Fidelity (Wi-Fi), Radio Frequency Identification (RFID), Bluetooth, etc.
Prerequisite(s): EE 3404 and EL 6303 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6063 Information Theory 3 Credits
Mathematical information measures: entropy, relative entropy and mutual information. Assymptotic equipartition property, entropy rates of stochastic processes. Lossless source encoding theorems and source coding techniques. Channel capacity, differential entropy and the Gaussian channel. Lossy source coding rate distortion theory. Brief overview of network information theory.
Prerequisite(s): Graduate status and EL 6303 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6113 Signals, Systems and Transforms 3 Credits
The course covers following topics: Continuous and discrete linear systems, system function. Fourier transforms. Periodic functions. Z transforms. Discrete Fourier series. Fast Fourier transforms. Magnitude Characteristics of LTI systems. All-pass Systems and Properties. Analog and digital filters. Finite order system functions. Digital processing of analog signals. Sampling theorems.
Prerequisite(s): Graduate status.
Also listed under: BE 6403 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6123 Video Processing 3 Credits
This course covers Fourier analysis of video signals, properties of the human visual system, video signal sampling and sampling rate conversion, motion modeling and estimation, video compression techniques and standards, stereo video processing and compression, error control in networked video applications, analog and digital video systems. Students will learn to implement selected algorithms in MATLAB or C-language. A course-project is required.
Prerequisite(s): EL 5123 or EL 5143 and EL 6303 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6183 Digital Signal Processing Laboratory 3 Credits
This course includes hands-on experience with a set of laboratory experiments, lectures and projects relating to real-time digital signal processing (DSP) using a DSP microprocessor. Students gain experience in the implementation of common algorithms used in a variety of applications and learn tools and functions important for the design of DSP-based systems. Students are required to complete a project and give an oral presentation. This course is suitable for students interested in DSP and Embedded Systems.
Prerequisite(s): EL 6113 or equivalent, C/C++.
Also listed under: BE 6483 .
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 4.5 | Weekly Recitation Hours: 0
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EL 6213 System Modeling, Analysis and Design 3 Credits
Introduction of basic system concepts such as system state, inputs, outputs and disturbances. Modeling methods and Computer Aided Systems Engineering (CASE) formal structures. CASE tools for solving practical systems related problems. Quantitative techniques including linear programming, network flow analysis, integer and nonlinear programming, Petri nets, basic probabilistic and stochastic tools, Markov processes, queueing theory and Monte Carlo techniques for simulation. Fundamentals of decision and risk analysis.
Prerequisite(s): EL 5213 . Corequisite(s): EL 6303 recommended.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6223 Nonlinear and Sampled-Data Control Systems 3 Credits
Introduction of nonlinear systems. Phase plane analysis, nonlinearities, linearization, limit cycles and averaging. Stability techniques: describing function, Lyapunov functions, Popov locus ad circle criterion. Analysis and design of sampled-data systems by Z-transforms and state variable methods. Semiglobal and global stabilization of nonlinear sampled-data systems.
Prerequisite(s): Graduate status and EL 6253 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6233 System Optimization Method 3 Credits
Formulations of system optimization problems. Elements of functional analysis applied to system optimization. Local and global system optimization with and without constraints. Variational methods, calculus of variations, and linear, nonlinear and dynamic programming iterative methods. Examples and applications. Newton and Lagrange multiplier algorithms, convergence analysis.
Prerequisite(s): Graduate status and EL 5253 or EL 6253 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6243 System Theory and Feedback Control 3 Credits
Design of single-input-output and multivariable systems in frequency domain. Stability of interconnected systems from component transfer functions. Parameterization of stabilizing controllers. Introduction to optimization(Wiener-Hopf design).
Prerequisite(s): Graduate status and EE 3064 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6253 Linear Systems 3 Credits
Basic system concepts. Equations describing continuous and discrete-time linear systems. Time domain analysis, state variables, transition matrix and impulsive response. Transform methods. Time-variable systems. Controllability, observability and stability. SISO pole placement, observer design. Sampled data systems.
Prerequisite(s): Graduate status and EE 3054 or EL 5253 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6303 Probability Theory 3 Credits
The axiomatic definition of experiment and probability. Conditional Probability. Bayes’ Theorem, Notion of independence. Repeated trials. Bernoulli trials and their limiting forms. The concept of a random variable. Probability distribution and density functions. Probability mass functions. Examples of random variables: Normal(Gaussian), Poisson, Gamma, Exponential, Laplace, Cauchy, Rayleigh, etc. Bayes’ Theorem revisited. Functions of one random variable and their density functions. Expected value of a random variable: Mean, Variance, Moments and Characteristic functions. Two random variables: Joint distribution and joint density functions of two random variables, Independence. One function of two random variables. Two functions of two random variables. Order statistics.Joint moments, Uncorrelatedness, Orthogonality, Joint characteristic function. Jointly Gaussian random variables. Conditional distribution and conditional expected values. The central limit theorem. The principle of maximum likelihood. Elements of parameter estimation. Maximum likelihood estimation for unknown parameters. Unbiased estimators and their variances.
Prerequisite(s): Graduate status and MA 3012 .
Also listed under: BE 6453 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6313 Stochastic Processes 3 Credits
Random Variables, Random vectors and Random processes; Second order characterization of stochastic processes, autocorrelation and covariance functions, special processes: Poisson process, Wiener process and White noise process. Stationary processes, types of stationarity: Strict sense stationary and Wide sense stationary processes, Gaussian processes, memory-less processes. Linear Systems with random inputs, Input-output Autocorrelation relations, Input-output Stationarity properties. Ergodicity and related results. Wide sense stationary processes, Autocorrelation function and power spectra. Spectral theory for linear systems. Rational spectra, Hilbert transforms, shot noise, thermal noise. Discrete time processes, Spectral factorization, Matched filters. Integral equations and series representation of stochastic processes: Karhunen Loeve (KL) expansion. Modulation, Band limited processes and sampling theory. Mean square estimation and the orthogonality principle. Linear Prediction and its Geometric interpretation. Levinson Recursion for one step predictors. Mean square estimation and normality. Mean square error for one and multi-step predictors. Smoothing and prediction as applications of orthogonality principle.
Prerequisite(s): EL 6303 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6323 Introduction to Wireless Networking 3 Credits
An introductory, systems-level approach to wireless networks covering both physical-layer aspects of wireless communications as well as implications in the medium access control (MAC), networking and application layers. Topics include channel and rate modeling, interference and spatial reuse, auto repeat request (ARQ), quality of service, random access, scheduling, mobility and intermittent communication. Overviews and examples from state-of-the-art cellular and wireless local area networks (LAN) standards as well as modern multimedia and web applications will be provided. The course is designed as a first course in wireless networks for students both intending to specialize in wireless communications as well as students who are interested in the consequences of wireless communications in other areas including multimedia delivery, networking and mobile applications.
Prerequisite(s): Prerequisite: EL 5363 or equivalent
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EL 6333 Detection and Estimation Theory 3 Credits
Detection Theory: Binary Hypothesis Testing; Bayes’ Criteria; Likelihood Ratio Test; minmax test; Neyman-Pearson Tests; Receiver Operating Characteristics. Parameter Estimation Theory: Random parameter Estimation; Bayes’ Procedure; Minimum Mean Square Error (MMSE) Estimator; Maximum A-Posteriori (MAP) Estimator. Nonrandom Parameter Estimation: MAP Estimator; Unbiased Estimators and Cramer-Rao(C-R) Bound; Higher Order Bhattacharya Bounds.Uniformly Minimum Variance Unbiased Estimators (UMVUE); Sufficient Statistic; Factorization Theorem; Rao-Blackwell Theorem. Multi-Parameter Estimation; Fisher Information Matrix. Composite Hypothesis Testing; Series Representation of Stochastic Processes with Rational spectra; Detection of distinct signals in white noise and colored noise; Mary Detection and Estimation of signals in white noise and colored noise. Blind Channel Identification. Elements of signal design for white Gaussian noise. Mary waveform design for two-dimensional signals.
Prerequisite(s): Graduate status and EL 6303 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6383 High-Speed Networks 3 Credits
This course covers the basics, architectures, protocols and technologies for high-speed networks. Topics: synchronous optical network (SONET), asynchronous transfer mode (ATM), ATM adaptation layer (AAL), 10/100/1000/10G Ethernet, Ethernet over SONET (EOS), quality of service control, packet scheduling, network processor, buffer management, flow and congestion control, TCP, high-speed TCP and XCP, Routing and IP fast rerouting, WDM networks, MPLS and GMPLS. Each student is required to complete a project that can be reading, software design or hardware design.
Prerequisite(s): Graduate status, EL 5363 or EE 136 or equivalent.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6393 Network Security Systems Design 3 Credits
While the recent proliferation of broadband wire-line and wireless networking technologies have substantially increased the available network capacity and enabled a wide-range of feature-rich high-speed communication services, security remains a major concern. Network attacks have become common recurring events that increasingly threaten the proper functioning and continual success of the communication infrastructure and services. One way to mitigate such threats is to develop new security/defense architectures, systems, methodologies and algorithms that can scale together with the communications infrastructure in terms of operating speed, operational simplicity and manageability. This course aims to understand the theoretical, architectural, system and implementation issues related to all aspects of security in high-speed networks and study various proposed solutions. Students are required to read research papers and complete a term project with either simulation programs to evaluate the proposed schemes, or architecture/VHDL designs for the schemes.
Prerequisite(s): CS 6823 or adviser approval.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6413 Analog and High Frequency Amplifier Design 3 Credits
Basic semiconductor physics, small-signal low frequency models for bipolar junction transistors, biasing and temperature compensation techniques. Physics, models and biasing of field effect transistors. High frequency models. Single and multistage broadband small signal amplifiers. Harmonic distortion analysis of amplifiers. Emitter follower analysis at high frequencies. Complete design and analysis of operational amplifiers (Op-Amp) analog integrated circuits. Nonlinear Op-Amp applications. Circuit design techniques to increase Op-Amp slew rate.
Prerequisite(s): Graduate student status or EE 3114 and EE 3124 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6423 RF Electronics for Wireless Applications 3 Credits
Tuned circuits and impedance transformers, narrowband nonlinear amplifiers. Tuned circuit sine wave oscillators, mixers, AM modulators and demodulators, FM modulators and demodulators and the phase-locked loop.
Prerequisite(s): EL 6413 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6433 Digital Integrated Circuit Design 3 Credits
Analysis and design of digital integrated circuits. Circuit analysis of piecewise linear single energy storage element networks. Rules for determining states of diodes and transistors. Bipolar junction and field effect transistors as switches. Basic digital logic gates. Integrated circuit logic and building blocks (TTL, MOS, CMOS, ECL, integrated injection logic). Sweep circuits (constant current, Miller, bootstrap), monostable, astable and bistable (Schmitt Trigger) switching circuits. Applications (pulse width modulator, triangle wave generator, FM function generator design).
Prerequisite(s): EL 6413 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6443 VLSI System and Architecture Design 3 Credits
This course continues from EL 5473 and covers top-down VLSI design using VHDL including structural design, modeling, algorithmic and register level design, synthesis, prototyping and implementation using FPGAs and methods to design for test (DFT). This course provides a solid background and hands-on experiences with the CMOS VLSI design process in which custom design techniques (covered in EL 5473 ) are married with HDL synthesis to produce complex systems. Students complete a project covering design partitioning, placement and routing, automated synthesis and standard cell design and use. The course explores how these techniques are used in designing ASICs, System-on-Chips (SoC) and advanced microprocessors.
Prerequisite(s): EL 5473 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6453 Advances in Reconfigurable Systems 3 Credits
Reconfigurable hardware platforms are in widespread use for telecommunications, video processing, cryptography, control and biomedical applications. The course will provide a detailed understanding of the real world reconfigurable hardware design methodologies using Field Programmable Gate Arrays (FPGA). A complete system will be implemented from specification to physical implementation on a FPGA. In the process, the course will discuss (1) designing a complex digital system using a hardware description language; (2) implementing, testing and validating the design on a reconfigurable hardware platform; and (3) providing all relevant design information to be able to integrate the reconfigurable hardware platform in any higher level system.
Prerequisite(s): EL 5493 Advanced Hardware Design
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EL 6493 Design and Test of Digital Systems 3 Credits
Logic simulation methods, structural hazards; Manufacturing test fundamentals, fault modeling and simulation, automatic test pattern generation algorithms; Enhancing testability of digital systems: Design for testability; Advanced testing techniques: Test data compaction and compression techniques; Integrated circuits vs System-on-A-Chip (SOC) design styles and their manufacturing test implications.
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EL 6553 Quantum Mechanics I 3 Credits
Quantum mechanics with applications to atomic systems. The use of Schrodinger’s equations. Angular momentum and spin. Semi-classical theory of field-matter interaction.
Prerequisite(s): MA 2122 and PH 3234 or equivalents.
Also listed under: PH 6673 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6583 Fiber Optic Communications 3 Credits
This course deals with the operating principles of optical communications systems and fiber-optic communication technology. The main elements of systems are presented in block diagrams and discussed individually. The advantages and disadvantages and the applications of Fiber Optic Communications Systems are discussed. Topics include: overview of optical communication systems, review of optics, review of analog and digital communications, the characteristics of optical fibers, optical waveguides, optical sources and transmitters, optical detectors and receivers, optical amplifiers, noise and detection, impairment in optical communication systems and optical network design issues. Upon completion of this course, students are familiar with the principles and technology of optical communication systems, and are able to design a simple point-to-point optical communications link, including bandwidth, loss, signal to noise ratio (S/N) and bit error rate considerations.
Prerequisite(s): Graduate status or EE 3604 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6603 Power Electronics 3 Credits
The course centers on principles of thyristor devices, GTOs, MOSFETs, IGBTs; dynamic characteristics of DC/DC converters; forced commutation circuits; switched-mode power supplies; full- wave and half-wave rectifiers; phase controlled converters; effect of the load characteristics; pulse-width modulated inverters.
Prerequisite(s): Graduate status and EE 3824 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6613 Electrical Transmission & Distribution Systems 3 Credits
Introduction to T&D systems. Choice of voltage and frequency. Radial and meshed networks. Aerial lines: construction, parameters and thermal rating. Cables: installations, impedance and thermal ring. Transformers and reactors: types, connections and parallel operation. Capacitors: construction and application to transmission, distribution and industrial systems. Grounding systems. Characteristics of loads: customer classes, voltage sensitivity, duty cycle, and load growth. Loss minimization by system reconfiguration and capacitor switching. Modern grids: nano-, micro-, mini-, smart-, and super-grid.
Prerequisite(s): and
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EL 6623 Power Systems Economics and Planning 3 Credits
Power-system economics: revenue requirements, load duration and reserve requirements. Load forecasting: econometric methods. Optimal expansion planning and methodologies: optimal generation expansion computer modeling. Decision analysis techniques. Deregulation of electric power industry.
Prerequisite(s): Graduate status and EL 5613 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6633 Transients, Surges and Faults in Power Systems 3 Credits
Analysis of lumped-circuit, normal and abnormal transients in power equipment and systems. Short-circuit fault analysis and transient recovery of three-phase circuits. Analysis of traveling-wave surges on transmission lines, windings and integrated systems.
Prerequisite(s): Graduate status and EL 5613 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6643 Relay Fault Protection 3 Credits
Protective relay functions and classification. Electromechanical relay types, operating principles and basic characteristics. Communication channels for relaying. Current and voltage transformers, transducers. Protection of busses, transformers, generators, motors and other station equipment by the zone protection method. Distribution and transmission line relaying systems. Relay setting calculations. Primary and backup protection, application and philosophy with applied relay engineering examples.
Prerequisite(s): Graduate status and EL 5613 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6653 Power System Stability 3 Credits
The course introduces power-system dynamics: mathematical modeling of prime movers, power plants, synchronous machines, field exciters transmission lines, relay loads and stabilizers.
Prerequisite(s): Graduate status, EE 3824 and EL 5613 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6663 Distributed Generation Systems 3 Credits
Benefits and limitations and classification of small generating systems; principles of operation and electrical equivalent circuits of fuel cells, solar cells, micro-turbines, reciprocating engines, wind turbines and gas turbines; fault conditions; reactive power support; power quality issues.
Prerequisite(s): EE 3824 and EL 5613 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6673 Resonant Power Converters 3 Credits
Class D and E rectifiers. Class D inverters. Class E inverters. Phase-controlled resonant inverters. Class DE inverters. Resonant dc-dc converters. Soft switching. Quasiresonant and multiresonant converters. Control and modeling of resonant converters.
Prerequisite(s):
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EL 6683 Adjustable Speed Drives 3 Credits
Engineers universally recognize that electric drives offer enormous potential for energy conservation. Factory automation, transportation (all-electric and hybrid-electric vehicles) and a trend to replace hydraulic drives by electric ones has driven interest among employers and students for education based on solid theoretical foundations. The course requires only a basic undergraduate preparation in circuits, electromagnetics and energy. Advanced topics of special electric machinery and control methods are introduced on in-time basis. This course complements EL 5683 , which covers electromechanical aspects of electric drives, and EL 6603 , which covers on AC-DC and DC-AC conversion for drives and utility applications.
Prerequisite(s): Graduate status and EE 3824 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6713 Electromagnetic Theory and Applications 3 Credits
This course introduces Maxwell’s equations, wave equation, vector potentials, boundary conditions and Poynting vector. Time-harmonic fields and phasor approach are introduced. The properties of freely propagating plane waves in uniform and layered media are derived, as well as waves guided by structures, including various transmission lines, hollow waveguides and dielectric waveguides. A unified treatment of wave propagation is given with general theorems and examples drawn from microwaves, integrated circuits and optics.
Prerequisite(s): Graduate status and EE 3604 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6723 Electromagnetic Radiation and Antennas 3 Credits
The electromagnetic fields radiated by current elements are derived from Maxwell’s equations. From these results, the fields radiated by many types of antennas are derived, including various types of dipoles, arrays, aperture, and frequency independent and traveling wave antennas. Concepts introduced include radiation resistance and pattern, directivity, gain, effective area, reciprocity, bandwidth, noise temperature, mutual coupling and array scanning impedance.
Prerequisite(s): Graduate status and EL 6713 , or with grade B or better.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 6753 UHF Propagation for Wireless Systems 3 Credits
The course examines UHF radio applications for cellular mobile radio telephones, wireless local area networks and personal communications networks, propagation and reflection of plane waves and spherical waves; antennas for transmitting and receiving; path loss and link budgets; Huygens’ principle; Fresnel zone and diffraction of plane and spherical waves; mathematical models of UHF propagation over a flat earth, around buildings in cities and within buildings; influence of propagation on capacity of cellular systems.
Prerequisite(s): Graduate status and undergraduate electromagnetic course.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 7133 Digital Signal Processing 3 Credits
Properties and applications of the discrete Fourier transform and FFT. Frequency measurement. Properties and design of linearphase FIR digital filters by windowing, least-squares and minimax criterion. Spectral factorization and design of minimumphase FIR filters. Design of recursive digital filters. Short-time Fourier transform. Finite precision effects. Multirate systems. Basic spectral estimation. Basic adaptive filtering (LMS algorithm). Computer-based exercises are given regularly.
Prerequisite(s): EL 6113 or equivalent.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 7253 State Space Design for Linear Control Systems 3 Credits
Topics covered in this course include canonical forms; control system design objectives; feedback system design by MIMO pole placement; MIMO linear observers; the separation principle; linear quadratic optimum control; random processes; Kalman filters as optimum observers; the separation theorem; LQG; Sampled-data systems; microprocessor-based digital control; robust control and the servocompensator problem.
Prerequisite(s): Graduate status and EL 6253 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 7353 Communication Networks I: Analysis, Modeling and Performance 3 Credits
The course introduces the analytical techniques used in the design and performance analysis of networks. Building on their knowledge of networking technology and applied mathematics, especially probability, students learn basic queuing theory, to be applied to performance analysis of multiplexers, switches and multiple access networks. Newer techniques such as the network calculus, the study of non-Poissonian long range dependent traffic sources and applications to TCP, admission control, advanced packet switches and IEEE 802.11 networks are introduced.
Prerequisite(s): EL 5363 and EL 6303 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 7363 Communications Networks II: Design and Algorithms 3 Credits
The course covers network design, which consists of topology design and traffic routing taking into account dynamics in network states, such as link/node failures and traffic demand variations. Efficient design models and optimization methods are crucial to simultaneously achieve good network user performance and high savings in network deployment and maintenance. This course introduces mathematical models, design problems and optimization algorithms that can be used to guide network design practice. Subjects include: Network Design Problem Modeling, Optimization Methods, Multi- Commodity Flow Routing, Location and Topological Design, Fair Networks, Resilient Network Design, Robust Network Design, Multi-Layer Networks.
Prerequisite(s): Graduate status, EL 5363 or equivalent.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 7373 High Performance Switches and Routers 3 Credits
This course addresses the basics, the theory, architectures and technologies to implement high-performance high-speed large-scale routers and switches. The fundamental concepts and technologies of packet forwarding, classification and switching learned in the class are useful and practical when designing IP routers, Ethernet switches and optical switches. Topics: IP Route Lookup, Packet Classification, Packet Scheduling, Buffer Management, Basics of Packet Switching, Output-buffered Switches, Shared-memory Switches, Crosspointbuffered Switches, Input-buffered Switches, Clos-network Switches, Multi-Stage Buffered Switches, Two-Stage Load-Balanced Switches, Optical Packet Switches and ASIC for IP Routers.
Prerequisite(s): EL 5363 or adviser approval.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 8223 Applied Nonlinear Control 3 Credits
Stability and stabilization for nonlinear systems; Lyapunov stability and functions, input-output stability and control Lyapunov functions. Differential geometric approaches for analysis and control of nonlinear systems: controllability, observability, feedback linearization, normal form, inverse dynamics, stabilization, tracking and disturbance attenuation. Analytical approaches: recursive back stepping, input-to-state stability, nonlinear small-gain methods and passivity. Output feedback designs. Various application examples for nonlinear systems including robotic and communication systems.
Prerequisite(s): Graduate status and EL 6253 or EL 7253 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 8233 Optimal Control Theory 3 Credits
This course focuses on optimal control problem for deterministic systems with various constraints. Topics: solution for both continuous and discrete-time systems using the maximum principle and dynamic programming. Singular arcs. Neighboringoptimal solutions. Fuel and time optimal control problems. Computational methods.
Prerequisite(s): Graduate status, EL 6233 and EL 6253 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 8253 Large-Scale Systems and Decentralized Control 3 Credits
This course introduces analysis and synthesis of large-scale systems. Topics: systemorder reduction algorithms, interconnected system stability, series expansion and singular perturbation. Lyapunov designs. Applications to traffic networks, power systems and transportation networks. Decentralized control: decentralized fixed-mode, LQR, frequency-shaped cost functional and overlapping decompositions. Stability of interconnected systems and Vector Lyapunov analysis.
Prerequisite(s): Graduate status and EL 7253 or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 9900 Seminar in Electrical and Computer Engineering 0 Credits
This course consists of seminar presentations on recent developments in electrical and computer engineering by speakers from industry, research and education institutions. to receive a satisfactory grade, a student must attend at least two thirds of the seminars during the semester registered. A PhD student must register and obtain satisfactory grade for at least four semesters.
Weekly Lecture Hours: 0 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 9920 Summer Graduate Internship 0 Credits
This course provides graduate students majoring in electrical engineering, computer engineering, electrophysics, systems engineering, telecommunication networks or wireless innovation the opportunity to gain practical training off campus. Such training will enhance and strengthen the students overall educational experience by obtaining practical experience in currently active areas in industry.
Note: Adviser approval is required.
Weekly Lecture Hours: 0 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 9933 Readings in Electrical and Computer Engineering I 3 Credits
This course requires a student to read advanced literature in a research field relevant to electrical and computer engineering, under guidance of a faculty member who is expert in the field. Oral presentation and a written report is required. Not more than 3 credits may be taken toward the master’s degree. A student must secure a project adviser before registration.
Prerequisite(s): Degree status.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 9943 Readings in Electrical and Computer Engineering II 3 Credits
This course requires a student to read advanced literature in a research field relevant to electrical and computer engineering, under guidance of a faculty member who is expert in the field. Oral presentation and a written report are required. No more than 3 credits may be taken toward the master’s degree. A student must secure a project adviser before registration.
Prerequisite(s): Degree status.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 9953 Advanced Projects I 3 Credits
This course requires a student to conduct a theoretical and/or experimental project in a research area in electrical and computer engineering. The project is chosen based on the student’s specialized interest and preparation and is guided by a faculty member who is expert in the chosen subject. Oral presentation or a written report is required at the adviser’s discretion. A student must secure a project adviser before registration.
Prerequisite(s): Degree status.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EL 9963 Advanced Projects II 3 Credits
This course requires a student to conduct a theoretical and/or experimental project in a research area in electrical and computer engineering. The project is chosen based on the student’s specialized interest and preparation and is guided by a faculty member who is expert in the chosen subject. Oral presentation or a written report is required at the adviser’s discretion. A student must secure a project adviser before registration.
Prerequisite(s): Degree status.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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EN 1080W Introduction to College Writing for ESL Students 3 Credits
This intensive course in reading comprehension and composition skills is for non-native speakers of English who are inadequately prepared for college composition. The course emphasizes competency in standard written English and fluency in writing, grammatical control, comprehension of college-level texts, practice in listening and speaking and expansion of English-language skills for academic and professional purposes.
Prerequisite(s): EN Placement exam.
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EN 2123 Technologies of Literary Production 3 Credits
This course examines how the changing status and technologies of written language have shaped and continue to transform literary culture. Beginning with works first conceived and transmitted as part of rich oral traditions, the course will end with works of literature produced primarily for online readers.
Prerequisite(s): Completion of first year writing requirements
Note: Satisfies a humanities and social sciences elective.
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