ELECTRICAL AND COMPUTER ENGINEERING Courses

ECE 111. Information Literacy and Research for Electrical and Computer Engineering. 2 Credits.

An introductory course for ECE students that explores information literacy in terms of information basics, information need, searching, locating, and evaluating information sources, citing and ethics of information in relation to development and implementation of electrical and computer engineering projects. Prerequisites: ENGN 110 and MATH 162M.

ECE 201. Circuit Analysis I. 3 Credits.

An introduction to the analysis and theory of linear electrical circuits, including relevant mathematical background. Topics include: passive component definitions and connection rules; independent and dependent sources, concepts of power & energy; Kirchhoff’s laws; development of network reduction techniques; formulation of mesh-current and node-voltage equations; network theorems including Thevenin, Norton, Maximum power transfer, and superposition Theorem, Operational Amplifiers, Two Port Networks (resistive), Energy Storage Elements, and initial conditions. Basics of matrices and linear algebra with Gaussian elimination; matrix applications to linear circuit analyses; MATLAB & PSPICE with analyses and applications to passive circuits. (offered fall, spring, summer) Prerequisites: a grade of C or better in MATH 212. Pre- or corequisite: PHYS 232N.

ECE 202. Circuit Analysis II. 3 Credits.

Time domain analysis of first-order and second-order electrical circuits; Sinusoidal steady state analysis; Phasor representation of AC Circuits, Maximum power transfer and Thevenin-Norton theorems for AC circuits; Frequency response of circuits (with R, L, and C components), Laplace Transforms and transfer functions of linear circuits; extension to frequency domain circuit analysis including Bode plots; operational amplifiers with relevant circuit examples; two-port networks including Z- and Y-parameters; transformer concepts. PSPICE and MATLAB for DC and transient circuit analyses; theory & solution of linear ordinary differential equations with constant coefficients, complex numbers, Euler’s formula and complex arithmetic; PSPICE and MATLAB implementation of AC response and analyses. (offered fall, spring, summer) Prerequisites: MATH 280 or MATH 307 and a grade of C or better in ECE 201.

ECE 241. Fundamentals of Computer Engineering. 4 Credits.

This course develops the foundation of computer engineering for computer engineers as well as an introductory breadth appropriate for electrical engineers. Class topics include computer information, digital design (combinational and sequential circuits), computer organization, and assembly language. The laboratory includes building digital circuits (focusing on programmable logic), assembly language programming, and system interfacing. The use of a hardware description language is employed in class and the laboratory to specify, simulate and synthesize digital circuits. Prerequisites: CS 150 and MATH 211 with a grade of C or above for both.

ECE 287. Fundamental Electric Circuit Laboratory. 2 Credits.

Objective of course is to provide students in electrical and computer engineering with a 'hands-on' introduction to selected topics in electrical engineering. Students will use basic circuit analysis skills and C programming skills to design, build, and test electrical networks interfacing to a micro-controller. Labs will also provide an introduction to basic measurement techniques and electrical laboratory equipment (power supplies, oscilloscopes, voltmeters, etc). Prerequisites: A grade of C or better in both CS 150 and ECE 201. Pre- or corequisite: ECE 202.

ECE 300. Math Review for Graduate Engineering Analysis. 3 Credits.

Complex algebra, linear algebra and matrix methods, aspects of multivariable calculus, Boolean logic and numbering systems, differential equations, Laplace transforms, and aspects of probability. Applications and examples in the field of electrical engineering will be used. The use of Matlab in engineering problem solving will be presented. Course not available to ECE undergraduate majors. Prerequisites: Departmental approval.

ECE 301. Review of Electrical Engineering Analysis. 3 Credits.

Electrical engineering problems, including time-domain and frequency-domain circuit analysis, analysis of networks with electronic components. The use of Matlab and Simulink in electrical engineering problem solving will be presented. Course not available to ECE undergraduate majors. Prerequisites: Departmental approval.

ECE 302. Linear System Analysis. 3 Credits.

This course covers the fundamental concepts of signal and linear system representation and analysis in continuous time. Topics include: Operations with sinusoids and complex exponentials. Signal properties, operations, and models. System properties, classification, and models. Time-domain system analysis, including impulse response, total system response, stability, and convolution. Fourier analysis of continuous-time signals and signal transmission through linear time-invariant systems. Ideal and practical filters. Advanced matrix operations and linear algebra with applications to signal and system analysis. Characteristic equation of a matrix, eigenvalues and eigenvectors. Performing time and frequency domain analysis using MATLAB. (offered fall, spring). Prerequisites: MATH 280 or MATH 307 and a grade of C or better in ECE 202.

ECE 303. Introduction to Electrical Power. 3 Credits.

AC steady state power, single-phase and three-phase networks, electric power generation, transformers, transmission lines, electric machinery and the use of power. Energy resources, power plants, renewable energy, electric safety. (offered fall, summer) Prerequisites: a grade of C or better in ECE 201.

ECE 304. Probability, Statistics, and Reliability. 3 Credits.

Introduction to probability, probability models, discrete and continuous random variables, statistics, reliability. Continuous Random Variables introduce the important Normal or Gaussian Distribution: Cumulative Normal Distributions Ф (z) etc. This course teaches the basic principles of collecting & analyzing engineering data, the advantages of designed engineering experiments (DE), (Completely Randomized Single Factor Experiments), statistical hypothesis testing, Analysis of Variance (ANOVA) and examines the variability in time-oriented data for statistical quality control and statistical process control (SPC). Introduction to Control Charts covers engineering control limits, process limits, tolerance limits for ¯X, R & S Control Charts, Process Capability Indexes Cp & Cpk, 6-σ Sigma Processes. Probability models help quantify the risks involved in statistical inference - the risks involved in engineering decisions made every day. Numerous examples from all engineering disciplines serve to illustrate the concepts. Prerequisites: a grade of C or better in MATH 212.

ECE 313. Electronic Circuits. 4 Credits.

Introduction to junction diodes, bipolar junction transistors (BJTs), MOS field-effect transistors (MOSFETs) and operational amplifiers (op-amps). Design concepts for discrete analog circuits with diodes, BJTs, MOSFETs and op-amps. The lab component introduces design and techniques for implementation of analog circuits. Prerequisites: a grade of C or better in ECE 202. Pre- or corequisite: ECE 241.

ECE 323. Electromagnetics. 3 Credits.

This course provides an introduction to the basic concepts of electromagnetics. Topics include math fundamentals for electromagnetic studies, Maxwell’s equations, electromagnetic waves, polarization, wave propagation in various media and across interfaces, waveguides and transmission lines. This fundamental course is to build an electrical engineering/physics foundation for students and enable them to identify, formulate, and solve future engineering problems. Prerequisites: MATH 285 or MATH 312 and a grade of C or better in ECE 202.

ECE 332. Microelectronic Materials and Processes. 3 Credits.

An introduction to fundamental properties of semiconductors and device fabrication processes. The topics include crystal structure, bonding, energy bands, doping, carrier densities, mobility, resistivity, recombination, drift, and diffusion. Basic structure of p-n junctions, BJTs and MOSFETs and their fabrication processes, including solid state diffusion, thermal oxidation of silicon, ion implantation, chemical vapor deposition, thin film deposition, photolithography and etching are reviewed. (offered fall and spring) Prerequisites: a grade of C or better in ECE 202.

ECE 341. Digital System Design. 3 Credits.

Tools and methodologies for top-down design of complex digital systems. Important topics include minimization, mixed logic, algorithmic state machines, microprogrammed controllers, creating and using a gold model, data and control path design and data movement and routing via buses. Design methodologies covered include managing the design process from concept to implementation, verification using a gold model, and introduction to design flow. A hardware description language is used extensively to demonstrate models and methodologies, and is also used in design exercises and projects. (offered fall, spring) Prerequisites: a grade of C or better in ECE 241.

ECE 346. Microcontrollers. 3 Credits.

A hands-on approach to microprocessor and peripheral system programming, I/O interfacing, and interrupt management. A sequence of projects requiring the programming and integration of a microcontroller-based system is conducted. Project assignments require a microcontroller evaluation board and accessories supplied by the student. (offered spring) Prerequisites: a grade of C or better in ECE 241.

ECE 355. Introduction to Networks and Data Communications. 3 Credits.

This course introduces the basic concepts of computer networks and data communications. Topics include protocol layers, the application layer, the transport layer, the network layer, the data link layer, and the physical layer. Students will learn how to use network packet analyzer tools to do simple network analysis. Emphasis is on gaining an understanding of network engineering as it relates to hardware configuration, system operation and maintenance. (offered fall) Prerequisites: ECE 304 and a grade of C or better in ECE 241.

ECE 367. Cooperative Education. 1-3 Credits.

Student participation for credit based on the academic relevance of the work experience, criteria, and evaluative procedures as formally determined by the department and Career Development Services prior to the semester in which the work experience is to take place. (offered fall, spring, summer) (qualifies as a CAP experience) Prerequisites: approval by the department and Career Development Services in accordance with the policy for granting credit for Cooperative Education programs.

ECE 368. Student Internship. 1-3 Credits.

Academic requirements will be established by the department and will vary with the amount of credit desired. Allows students to gain short duration career-related experience. (qualifies as a CAP experience) Prerequisites: Approval by department and Career Development Services.

ECE 369. Practicum. 1-3 Credits.

Academic requirements will be established by the department and will vary with the amount of credit desired. Allows students an opportunity to gain short duration career related experience. (qualifies as a CAP experience) Prerequisites: approval by department and Career Development Services.

ECE 381. Introduction to Discrete-time Signal Processing. 3 Credits.

This course covers fundamental digital signal processing techniques that form the basis for a wide variety of application areas. Topics include discrete-time signals and systems, time domain analysis, solutions of difference equations, Z-transform analysis, discrete Fourier transforms (DFT), sampling theorem, transform analysis of linear time-invariant systems, structure of discrete-time systems and introduction to power spectrum estimation. (offered fall and spring) Prerequisites: ECE 302 and a grade of C or better in ECE 241.

ECE 387. Microelectronics Fabrication Laboratory. 3 Credits.

The laboratory course will enable students to fabricate MOSFETs, MOS capacitors, diffused resistors and p-n diodes. Students will be trained to operate the equipment required for wet and dry oxidation, thin film deposition, solid state diffusion, photolithography, and etching. Students will fabricate and analyze the devices by current-voltage characteristic, capacitance-voltage characteristic, film thickness and conductivity measurements. (offered fall and spring). Prerequisites: ECE 332.

ECE 395. Topics in Electrical and Computer Engineering. 1-3 Credits.

Topics in Electrical and Computer Engineering Prerequisites: departmental approval.

ECE 396. Topics in Electrical and Computer Engineering. 1-3 Credits.

Topics in Electrical and Computer Engineering Prerequisites: departmental approval.

ECE 403/503. Power Electronics. 3 Credits.

Power electronics provides the needed interface between an electrical source and an electrical load and facilitates the transfer of power from a source to a load by converting voltages and currents from one form to another. Topics include: alternating voltage rectification, Pulse Width Modulation (PWM), DC converters (Buck, Boost, Buck-Boost, Cuk and SEPIC converters), negative feedback control in power electronics, isolated switching mode power supply, flyback and forward power supply, solid state power switches, AC inverter. (offered spring) Prerequisites: MATH 307 and ECE 303.

ECE 404/504. Electric Drives. 3 Credits.

Electric drives efficiently control the torque, speed and position of electric motors. This course has a multi-disciplinary nature and includes fields such as electric machine theory, power electronics, and control theory. Topics include: switch-mode power electronics, magnetic circuit, DC motor, AC motor, Brushless DC motor, induction motor, speed control of induction motor, vector control of induction motor, stepper-motor. (offered fall) Prerequisites: ECE 201 and ECE 303.

ECE 406/506. Introduction to Visualization. 3 Credits.

The course provides a practical treatment of computer graphics and visualization with emphasis on the usage of industry standard application programming interface (API) libraries for modeling and simulation applications. It introduces computer graphics fundamentals, including mathematical foundations, rendering pipeline, geometrical transformations, 3D viewing and projections, lighting and shading, texture mapping, etc. It teaches OpenGL programming for developing interactive visualization for modeling and simulation applications. Unity game engine is utilized to illustrate advanced concepts and techniques. Interactive visualization software architecture for modeling and simulation and visualization principles based on perception is covered in depth with case studies. (cross listed with MSIM 441) Prerequisites: a grade of C or better in CS 250.

ECE 407/507. Introduction to Game Development. 3 Credits.

An exciting introductory course focused on game development theory and practices using Unity game engine with emphasis on educational game development. Topics covered in this course include game architecture, 3D computer graphics theory, content generation, user interaction, graphical user interface, audio, game physics, animation, physics, C# language scripting, and artificial intelligence. Students will develop games related to science, technology, engineering, and mathematics (STEM) education. The developed games can run on a variety of platforms, including personal computers, smart phones, and game consoles. (cross listed with MSIM 408/MSIM 508) Prerequisites: CS 361 or equivalent.

ECE 410/510. Model Engineering. 3 Credits.

The goal of this course is to develop understanding of the various modeling paradigms appropriate for capturing system behavior and conducting digital computer simulation of many types of systems. The techniques and concepts discussed typically include UML, concept graphs, Bayesian nets, Markov models, Petri nets, system dynamics, Bond graphs, etc. Students will report on a particular technique and team to implement a chosen system model. (cross-listed with MSIM 410) Prerequisites: MSIM 205 or equivalent. Pre- or corequisite: MSIM 320 or equivalent.

ECE 411/511. Networked System Security. 3 Credits.

Course presents an overview of theory, techniques and protocols that are used to ensure that networks are able to defend themselves and the end-systems that use networks for data and information communication. Course will also discuss industry-standard network security protocols at application, socket, transport, network, VPN, and link layers, popular network security tools, security, performance modeling and quantification and network penetration testing. Discussion will be based on development of system level models and simulations of networked systems. (Crosslisted with MSIM 411 and ENMA 411) Prerequisites: CS 150 and junior standing or permission of the instructor.

ECE 416/516. Cyber Defense Fundamentals. 3 Credits.

The objective of this course is to give an introduction of cyber hacking techniques and defense mechanisms to detect and thwart cybercrime. Cyber attacks aim at compromising cyber systems to disclose information, alter data or operation, cause denial of service, etc. The course first reviews the attacks to wireless networks, such as WiFi and MANET, and the defense strategies and technologies. Next, it reviews the attacks to general wired networks and information systems, and introduces the corresponding defense mechanisms. Last, it discusses cyber defense security policies and architectures. Cross-listed with ENMA 416/MSIM 416. Prerequisites: ECE 355.

ECE 417/517. Secure and Trusted Operating Systems. 3 Credits.

Course will review typical operating systems developing system models and identifying potential vulnerabilities. Course will discuss policies and their implementation required to fix such vulnerabilities to arrive at a secure and Trusted Computing Base. Course examines the security architecture Security Enhanced Linux (SELinux) Windows and Android OS. (Crosslisted with MSIM 417 and ENMA 417) Prerequisites: MSIM 470.

ECE 419/519. Cyber Physical System Security. 3 Credits.

Cyber Physical Systems (CPSs) integrate computing, networking, and physical processes. CPSs are known for their ability to: a) monitor the physical environment; b) use the monitored data in detecting the state of the physical environment; c) control the physical environment; and d) use cyber communications to perform its monitoring, detection and control operations. One of the biggest challenges to these systems is the security of its cyber space. This course will cover topics in CPS applications, design issues, and security. Cross-listed with ENMA 419/MSIM 419. Prerequisites: ECE 241 and ECE 287.

ECE 441/541. Advanced Digital Design and Field Programmable Gate Arrays. 3 Credits.

Course will provide a description of FPGA technologies and the methods using CAD design tools for implementation of digital systems using FPGAs. It provides advanced methods of digital circuit design, specification, synthesis, implementation and prototyping. It introduces practical system design examples. (Offered spring) Prerequisites: ECE 341.

ECE 443/543. Computer Architecture. 3 Credits.

An introduction to computer architectures. Analysis and design of computer subsystems including central processing units, memories and input/output subsystems. Important concepts include datapaths, computer arithmetic, instruction cycles, pipelining, virtual and cache memories, direct memory access and controller design. (offered fall) Corequisite: ECE 484W. Prerequisites: ECE 341 and ECE 346.

ECE 451/551. Communication Systems. 3 Credits.

Fundamentals of communication systems engineering. Modulation methods including continuous waveform modulation (amplitude, angle). Design of modulation systems and the performance in the presence of noise. Communication simulation exercises through computer experiments. Prerequisites: ECE 304 and ECE 302.

ECE 452/552. Introduction to Wireless Communication Networks. 3 Credits.

Introduction to current wireless network technologies and standards. The radio spectrum and radio wave propagation models (pathloss, fading, and multipath). Modulation, diversity, and multiple access techniques. Wireless network planning and operation. Current and emerging wireless technologies (satellite systems, vehicular/sensor networks). Prerequisites: ECE 304 and ECE 302.

ECE 454/554. Introduction to Bioelectrics. 3 Credits.

Covers the electrical properties of cells and tissues as well as the use of electrical and magnetic signals and stimuli in the diagnosis and treatment of disease. Typical topics to be covered include basic cell physiology, endogenous electric fields in the body, electrocardiography, cardiac pacing, defibrillation, electrotherapy, electroporation, electrotherapy in wound healing. In addition, ultrashort electrical pulses for intracellular manipulation and the application of plasmas to biological systems will be covered. Prerequisites: PHYS 111N or higher; MATH 200 or higher.

ECE 455/555. Network Engineering and Design. 3 Credits.

This course is an extension of ECE 355 into a semester long project. Emphasis is on gaining an understanding of networking design principles that entails all aspects of the network development life cycle. Topics include campus LAN models and design, VLANs, internetworking principles and design, WAN design, design of hybrid IP networks, differentiated vs. integrated services, traffic flow measurement and management. (offered spring) Prerequisites: ECE 355 or permission of the instructor.

ECE 458/558. Instrumentation. 3 Credits.

Computer interfacing using a graphical programming language with applications involving digital-to-analog conversion (DAC), analog-to-digital conversion (ADC), digital input output (DIO), serial ports, and the general-purpose instrument bus (GPIB). Analysis of sampled data involving use of probability density function, mean and standard derivations, correlations, and the power spectrum. (offered spring, summer) Prerequisites: PHYS 102N, PHYS 112N, or PHYS 232N and ECE 302.

ECE 461/561. Automatic Control Systems. 3 Credits.

Analysis and design of control systems via frequency and time domain techniques. Root locus, Bode and Nyquist techniques. Stability, sensitivity, and performance specifications. Cascade and feedback compensation. Computer-aided analysis and design. Pole placement through state variable feedback. Prerequisites: ECE 302.

ECE 462/562. Introduction to Medical Image Analysis (MIA). 3 Credits.

Introduction to basic concepts in medical image analysis. Medical image registration, segmentation, feature extraction, and classification are discussed. Basic psychophysics, fundamental ROC analysis and FROC methodologies are covered. Prerequisites: a grade of C or better in MATH 212.

ECE 464/564. Biomedical Applications of Low Temperature Plasmas. 3 Credits.

This course is cross listed between ECE and Biology. It is designed to be taken by senior undergraduate students and first year graduate students. The course contents are multidisciplinary, combining materials from engineering and the biological sciences. The course covers an introduction to the fundamentals of non-equilibrium plasmas, low temperature plasma sources, and cell biology. This is followed by a detailed discussion of the interaction of low temperature plasma with biological cells, both prokaryotes and eukaryotes. Potential applications in medicine such as wound healing, blood coagulation, sterilization, and the killing of various types of cancer cells will be covered. Prerequisites: Senior standing.

ECE 470/570. Foundations of Cyber Security. 3 Credits.

Course provides an overview of theory, tools and practice of cyber security and information assurance through prevention, detection and modeling of cyber attack and recovery from such attacks. Techniques for security modeling, attack modeling, risk analysis and cost-benefit analysis are described to manage the security of cyber systems. Fundamental principles of cyber security and their applications for protecting software and information assets of individual computers and large networked systems are explored. Anatomy of some sample attacks designed to compromise confidentiality, integrity and availability of cyber systems are discussed. (Cross-listed with ENMA 470 and MSIM 470) Pre- or corequisite: MSIM 410 or permission of the instructor.

ECE 471/571. Introduction to Solar Cells. 3 Credits.

This course is designed to provide the fundamental physics and characteristics of photovoltaic materials and devices. A focus is placed on i) optical interaction, absorption, and design for photovoltaic materials and systems, ii) subsequent energy conversion processes in inorganic/organic semiconductor such as generation, recombination, and charge transport, and iii) photovoltaic testing and measurement techniques to characterize solar cells including contact and series resistance, open circuit voltage, short circuit current density, fill factor, and energy conversion efficiency of photovoltaic devices. (Offered fall, spring) Prerequisites: ECE 332.

ECE 472/572. Plasma Processing at the Nanoscale. 3 Credits.

The science and design of partially ionized plasma and plasma processing devices used in applications such as etching and deposition at the nanoscale. Gas phase collisions, transport parameters, DC and RF glow discharges, the plasma sheath, sputtering, etching, and plasma deposition. Prerequisites: ECE 323.

ECE 473/573. Solid State Electronics. 3 Credits.

The objective of this course is to understand basic semiconductor devices by understanding semiconductor physics (energy bands, carrier statistics, recombination and carrier drift and diffusion) and to gain an advanced understanding of the physics and fundamental operation of advanced semiconductor devices. Following the initial introductory chapters on semiconductor physics, this course will focus on p-n junctions, metal-semiconductor devices, MOS capacitors, MOS field effect transistors (MOSFET) and bipolar junction transistors. Prerequisites: ECE 313, ECE 323 and ECE 332.

ECE 474/574. Optical Fiber Communication. 3 Credits.

This course introduces seniors and first year graduates to the physics and design of optical fiber communication systems. The topics covered are: electromagnetic waves; optical sources including laser diodes; optical amplifiers; modulators; optical fibers; attenuation and dispersion in optical fibers; photodetectors; optical receivers; noise considerations in optical receivers; optical communication systems. Prerequisites: ECE 323 and MATH 285 or MATH 312.

ECE 483/583. Embedded Systems. 3 Credits.

This course covers fundamentals of embedded systems: basic architecture, programming, and design. Topics include processors and hardware for embedded systems, embedded programming and real time operating systems. Prerequisites: ECE 346.

ECE 484W. Computer Engineering Design I. 3 Credits.

Emphasis is on the design of a complex digital circuit and microcontroller interfacing. A semester-long project involves the design, simulation and testing of a digital architecture and software GUI. Several moderate scale digital modules are designed, simulated, implemented and tested during the semester. Design methods incorporate CAD design tools, implementation with advanced integrated circuit technology and contemporary software tools. Oral and written communication skills are stressed. This is a writing intensive course. (offered fall and spring) (qualifies as a CAP experience) Prerequisites: A grade of C or better in ENGL 211C or ENGL 221C or ENGL 231C; ECE 341 and ECE 346. Pre- or corequisite: ECE 313.

ECE 485W. Electrical Engineering Design I. 3 Credits.

Part one of the senior capstone design experience for electrical engineering majors. Lectures focus on providing professional orientation and exploration of the design process. Small group design projects focus on the development of electronic subsystems. Oral and written communication skills are stressed. (This is a writing intensive course.) (qualifies as a CAP experience) (offered fall, spring) Prerequisites: ECE 313 and a grade of C or better in ENGL 211C or ENGL 221C or ENGL 231C. Pre- or corequisite: ECE 303, ECE 304, ECE 323, and ECE 332.

ECE 486. Preparatory ECE Senior Design II. 2 Credits.

The course is the preparatory, proposal development section of part two of the senior capstone design experience for electrical and computer engineering majors. The course will focus on developing a proposal for a group design project. The senior design projects aim at developing engineering design skills of a complete computer/electrical system. Elements of developing a successful proposal are emphasized along with written communication skills. Industry-sponsored multi-disciplinary design projects are an option. (qualifies as a CAP experience) Pre- or corequisite: ECE 484W or ECE 485W.

ECE 487. ECE Senior Design II. 2 Credits.

Part two of the senior capstone design experience for electrical and computer engineering majors. In this course, students will implement the design proposal developed in ECE 486. The senior design projects aim at developing engineering design skills of a complete computer/electrical system. Oral and written communication skills are emphasized. Industry-sponsored multi-disciplinary design projects are an option. Prerequisites: ECE 486.

ECE 488. ECE Senior Design III. 3 Credits.

Part three of the senior capstone design experience for electrical and computer engineering majors. Individual and group design projects focus on the development of complete electrical and computer systems. Oral and written communication skills are stressed. Industry-sponsored multi-disciplinary design projects are an option. (qualifies as a CAP experience) Prerequisites: ECE 487.

ECE 491. Microelectronics Design Experience. 3 Credits.

This is a Virginia Microelectronics Consortium (VMEC) hands-on, state-of-the-art summer research internship experience. This is not a regular class, but a summer research internship open only to those undergraduate students who apply and win a coveted VMEC Summer Research Scholarship. The VMEC internship provides excellent technical knowledge as well as industrial and academic contacts for career development. Students complete a 10-13 week summer project on a microelectronics research or design activity at an engineering school or in the State-of-the-Art Cleanroom of industry members of the VMEC at Micron Technology, Inc in Manassas, VA or at British Aerospace Engineering (BAE). For eligibility, the student has to apply to the VMEC program and must be selected as a VMEC Student Scholar in a competition held late in the fall semester of each academic year. Each student will be required to give a least two formal oral reports and one formal poster presentation summarizing the research results at the end of the summer session. The project must be completed at an institution other than Old Dominion University. Students will be supervised by faculty or industry mentors at the summer location, but must also have an Old Dominion University co-advisor and instructor of record for the course. Prerequisites: junior standing in electrical or computer engineering.

ECE 495/595. Topics in Electrical and Computer Engineering. 1-3 Credits.

Topics in Electrical and Computer Engineering Prerequisites: departmental approval.

ECE 496/596. Topics in Electrical and Computer Engineering. 1-3 Credits.

Topics in Electrical and Computer Engineering Prerequisites: departmental approval.

ECE 503. Power Electronics. 3 Credits.

Power electronics provides the needed interface between an electrical source and an electrical load and facilitates the transfer of power from a source to a load by converting voltages and currents from one form to another. Topics include: alternating voltage rectification, Pulse Width Modulation (PWM), DC converters (Buck, Boost, Buck-Boost, Cuk and SEPIC converters), negative feedback control in power electronics, isolated switching mode power supply, flyback and forward power supply, solid state power switches, AC inverter. (offered spring) Prerequisites: MATH 307 and ECE 303.

ECE 504. Electric Drives. 3 Credits.

Electric drives efficiently control the torque, speed and position of electric motors. This course has a multi-disciplinary nature and includes fields such as electric machine theory, power electronics, and control theory. Topics include: switch-mode power electronics, magnetic circuit, DC motor, AC motor, Brushless DC motor, induction motor, speed control of induction motor, vector control of induction motor, stepper-motor. (offered fall) Prerequisites: ECE 201 and ECE 303.

ECE 506. Introduction to Visualization. 3 Credits.

The course provides a practical treatment of computer graphics and visualization with emphasis on the usage of industry standard application programming interface (API) libraries for modeling and simulation applications. It introduces covers computer graphics fundamentals, including mathematical foundations, rendering pipeline, geometrical transformations, 3D viewing visualization principles, and projections, lighting software architecture for visualization in modeling and shading, texture mapping, etc. simulation. It teaches OpenGL programming for developing interactive visualization for modeling and simulation applications. Unity game engine is utilized to illustrate advanced concepts and techniques. Interactive visualization software architecture for modeling and simulation and visualization principles based on perception is covered in depth with case studies. (cross listed with MSIM 541) Prerequisites: a grade of C or better in CS 250.

ECE 507. Introduction to Game Development. 3 Credits.

An exciting introductory course focused on game development theory and modern practices using Unity game engine with emphasis on educational game development. Topics covered in this course include game architecture, 3D computer graphics theory, content generation, user interaction, graphical user interface, audio, game physics, high level shading language, animation, physics, C# language scripting, physics, and artificial intelligence. Students will develop games related to science, technology, engineering, and mathematics (STEM) education. The developed games can run on a variety of platforms, including personal computers, smart phones, computer, mobile, and game consoles. (cross listed with MSIM 408/MSIM 508) Prerequisites: CS 361 or equivalent.

ECE 510. Model Engineering. 3 Credits.

The goal of this course is to develop understanding of the various modeling paradigms appropriate for capturing system behavior and conducting digital computer simulation of many types of systems. The techniques and concepts discussed typically include UML, concept graphs, Bayesian nets, Markov models, Petri nets, system dynamics, Bond graphs, etc. Students will report on a particular technique and team to implement a chosen system model. (cross-listed with MSIM 510) Prerequisites: MSIM 205 or equivalent. Pre- or corequisite: MSIM 320 or equivalent.

ECE 511. Networked System Security. 3 Credits.

Course presents an overview of theory, techniques and protocols that are used to ensure that networks are able to defend themselves and the end-systems that use networks for data and information communication. Course will also discuss industry-standard network security protocols at application, socket, transport, network, VPN, and link layers, popular network security tools, security, performance modeling and quantification and network penetration testing. Discussion will be based on development of system level models and simulations of networked systems. (Cross-listed with ENMA 511/MSIM 511).

ECE 516. Cyber Defense Fundamentals. 3 Credits.

The objective of this course is to give an introduction of cyber hacking techniques and defense mechanisms to detect and thwart cybercrime. Cyber attacks aim at compromising cyber systems to disclose information, alter data or operation, cause denial of service, etc. The course first reviews the attacks to wireless networks, such as WiFi and MANET, and the defense strategies and technologies. Next, it reviews the attacks to general wired networks and information systems, and introduces the corresponding defense mechanisms. Last, it discusses cyber defense security policies and architectures. Cross-listed with ENMA 516/MSIM 516. Prerequisites: ECE 355 or graduate standing.

ECE 517. Secure and Trusted Operating Systems. 3 Credits.

Course will review typical operating systems developing system models and identifying potential vulnerabilities. Course will discuss policies and their implementation required to fix such vulnerabilities to arrive at a secure and Trusted Computing Base. Course examines the security architecture Security Enhanced Linux (SELinux) Windows and Android OS. (Cross-listed with ECE 517 and ENMA 517).

ECE 519. Cyber Physical System Security. 3 Credits.

Cyber Physical Systems (CPSs) integrate computing, networking, and physical processes. CPSs are known for their ability to: a) monitor the physical environment; b) use the monitored data in detecting the state of the physical environment; c) control the physical environment; and d) use cyber communications to perform its monitoring, detection, and control operations. One of the biggest challenges to these systems is the security of its cyber space. This course will cover topics in CPS applications, design issues, and security. Cross-listed with ENMA 519/MSIM 519. Prerequisites: ECE 241 and ECE 287 or graduate standing.

ECE 541. Advanced Digital Design and Field Programmable Gate Arrays. 3 Credits.

Course will provide a description of FPGA technologies and the methods using CAD design tools for implementation of digital systems using FPGAs. It provides advanced methods of digital circuit design, specification, synthesis, implementation and prototyping. It introduces practical system design examples. (Offered spring) Prerequisites: ECE 341.

ECE 543. Computer Architecture. 3 Credits.

An introduction to computer architectures. Analysis and design of computer subsystems including central processing units, memories and input/output subsystems. Important concepts include datapaths, computer arithmetic, instruction cycles, pipelining, virtual and cache memories, direct memory access and controller design. (offered fall) Prerequisites: ECE 341 and ECE 346.

ECE 551. Communication Systems. 3 Credits.

Fundamentals of communication systems engineering. Modulation methods including continuous waveform modulation (amplitude, angle). Design of modulation systems and the performance in the presence of noise. Communication simulation exercises through computer experiments. Prerequisites: ECE 304 and ECE 302.

ECE 552. Introduction to Wireless Communication Networks. 3 Credits.

Introduction to current wireless network technologies and standards. The radio spectrum and radio wave propagation models (pathloss, fading, and multipath). Modulation, diversity, and multiple access techniques. Wireless network planning and operation. Current and emerging wireless technologies (satellite systems, vehicular/sensor networks). Prerequisites: ECE 304 and ECE 302.

ECE 554. Introduction to Bioelectrics. 3 Credits.

Covers the electrical properties of cells and tissues as well as the use of electrical and magnetic signals and stimuli in the diagnosis and treatment of disease. Typical topics to be covered include basic cell physiology, endogenous electric fields in the body, electrocardiography, cardiac pacing, defibrillation, electrotherapy, electroporation, electrotherapy in wound healing. In addition, ultrashort electrical pulses for intracellular manipulation and the application of plasmas to biological systems will be covered. Prerequisites: PHYS 111N or higher; MATH 200 or higher.

ECE 555. Network Engineering and Design. 3 Credits.

Prerequisites: ECE 355 or permission of the instructor. Emphasis is on gaining an understanding of networking design principles that entails all aspects of the network development life cycle. Topics include campus LAN models and design, VLANs, internetworking principles and design, WAN design, design of hybrid IP networks, differentiated vs. integrated services, traffic flow measurement and management. (offered spring).

ECE 558. Instrumentation. 3 Credits.

Computer interfacing using a graphical programming language with applications involving digital-to-analog conversion (DAC), analog-to-digital conversion (ADC), digital input output (DIO), serial ports, and the general-purpose instrument bus (GPIB). Analysis of sampled data involving use of probability density function, mean and standard deviations, correlations, and the power spectrum. Students are required to do a semester-long project on LabVIEW implementation. (offered spring, summer) Prerequisites: PHYS 102N, PHYS 112N or PHYS 232N and ECE 302.

ECE 561. Automatic Control Systems. 3 Credits.

Analysis and design of control systems via frequency and time domain techniques. Root locus, Bode and Nyquist techniques. Stability, sensitivity, and performance specifications. Cascade and feedback compensation. Computer-aided analysis and design. Pole placement through state variable feedback. Prerequisites: ECE 302.

ECE 562. Introduction to Medical Image Analysis (MIA). 3 Credits.

Introduction to basic concepts in medical image analysis. Medical image registration, segmentation, feature extraction, and classification are discussed. Basic psychophysics, fundamental ROC analysis and FROC methodologies are covered. Prerequisites: a grade of C or better in MATH 212.

ECE 564. Biomedical Applications of Low Temperature Plasmas. 3 Credits.

This course is cross listed between ECE and Biology. It is designed to be taken by senior undergraduate students and first year graduate students. The course contents are multidisciplinary, combining materials from engineering and the biological sciences. The course covers an introduction to the fundamentals of non-equilibrium plasmas, low temperature plasma sources, and cell biology. This is followed by a detailed discussion of the interaction of low temperature plasma with biological cells, both prokaryotes and eukaryotes. Potential applications in medicine such as wound healing, blood coagulation, sterilization, and the killing of various types of cancer cells will be covered. Prerequisites: Senior standing.

ECE 570. Foundations of Cyber Security. 3 Credits.

Course provides an overview of theory, tools and practice of cyber security and information assurance through prevention, detection and modeling of cyber attacks and recovery from such attacks. Techniques for security modeling, attack modeling, risk analysis and cost-benefit analysis are described to manage the security of cyber systems. Fundamental principles of cyber security and their applications for protecting software and information assets of individual computers and large networked systems are explored. Anatomy of some sample attacks designed to compromise confidentiality, integrity and availability of cyber systems are discussed. Cross-listed with ENMA 570 and MSIM 570). Pre- or corequisite: MSIM 510 or permission of the instructor.

ECE 571. Introduction to Solar Cells. 3 Credits.

This course is designed to provide the fundamental physics and characteristics of photovoltaic materials and devices. A focus is placed on i) optical interaction, absorption, and design for photovoltaic materials and systems, ii) subsequent energy conversion processes in inorganic/organic semiconductor such as generation, recombination, and charge transport, and iii) photovoltaic testing and measurement techniques to characterize solar cells including contact and series resistance, open circuit voltage, short circuit current density, fill factor, and energy conversion efficiency of photovoltaic devices. (Offered fall, spring) Prerequisites: ECE 332.

ECE 572. Plasma Processing at the Nanoscale. 3 Credits.

The science and design of partially ionized plasma and plasma processing devices used in applications such as etching and deposition at the nanoscale. Gas phase collisions, transport parameters, DC and RF glow discharges, the plasma sheath, sputtering, etching, and plasma deposition. Prerequisites: ECE 323.

ECE 573. Solid State Electronics. 3 Credits.

The objective of this course is to understand basic semiconductor devices by understanding semiconductor physics (energy bands, carrier statistics, recombination and carrier drift and diffusion) and to gain an advanced understanding of the physics and fundamental operation of advanced semiconductor devices. Following the initial introductory chapters on semiconductor physics, this course will focus on p-n junctions, metal-semiconductor devices, MOS capacitors, MOS field effect transistors (MOSFET) and bipolar junction transistors. Prerequisites: ECE 313, ECE 323 and ECE 332.

ECE 574. Optical Fiber Communications. 3 Credits.

This course introduces seniors and first year graduates to the physics and design of optical fiber communication systems. The topics covered are: electromagnetic waves; optical sources including laser diodes; optical amplifiers; modulators; optical fibers; attenuation and dispersion in optical fibers; photodetectors; optical receivers; noise considerations in optical receivers; optical communication systems. Prerequisites: ECE 323 and MATH 312 or MATH 285.

ECE 583. Embedded Systems. 3 Credits.

This course covers fundamentals of embedded systems: basic architecture, programming, and design. Topics include processors and hardware for embedded systems, embedded programming and real time operating systems. Pre- or corequisite: ECE 346.

ECE 595. Topics in Electrical and Computer Engineering. 1-3 Credits.

Topics in Electrical and Computer Engineering Prerequisites: departmental approval.

ECE 596. Topics in Electrical and Computer Engineering. 1-3 Credits.

Topics in Electrical and Computer Engineering Prerequisites: departmental approval.

ECE 601. Linear Systems. 3 Credits.

A comprehensive introduction to the analysis of linear dynamical systems from an input-output and state space point of view. Concepts from linear algebra, numerical linear algebra and linear operator theory are used throughout. Some elements of state feedback design and state estimation are also covered. Prerequisites: MATH 307.

ECE 607. Machine Learning I. 3 Credits.

Course provides a practical treatment of design, analysis, implementation and applications of algorithms. Topics include multiple machine learning models: linear models, neural networks, support vector machines, instance-based learning, Bayesian learning, genetic algorithms, ensemble learning, reinforcement learning, unsupervised learning, etc. Prerequisites: Graduate standing.

ECE 611. Numerical Methods in Engineering Analysis. 3 Credits.

Course intended to provide graduate students in Electrical and Computer Engineering with a basic knowledge of numerical methods applied to engineering problem-solving process. The course includes the following topics: Introduction to computing (Matlab), Truncation errors and Taylor series, Numerical integration, Solution of non-linear equations, Least-Square regression, Interpolations, Ordinary and partial differential equations, and Finite difference methods. Applications to the area of electrical engineering. Prerequisites: Graduate standing or advisor's permission (for BS/MS students).

ECE 612. Digital Signal Processing I. 3 Credits.

This course will present the fundamentals of digital signal processing. Topics will include frequency domain analysis of discrete-time linear systems, sampling and reconstruction of signals, the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT), and digital filter design and implementations. Practical applications and examples will be discussed. Problem solving using MATLAB is required. Prerequisites: ECE 381 or equivalent.

ECE 623. Electromagnetism. 3 Credits.

Review of electrostatic and magnetostatic concepts, time varying field, Maxwell’s equations, plane wave propagation in various media, transmission lines, optical wave guides, resonant cavities, simple radiation systems, and their engineering applications. Prerequisites: ECE 323 or equivalent.

ECE 642. Computer Networking. 3 Credits.

The course is based on the ISO (International Standard Organization) OSI (Open Systems Interconnection) reference model for computer networks. A focus is placed on the analysis of protocols at different layers, network architectures, and networking systems performance analysis. Current topic areas include LANs, MANs, TCP/IP networks, mobile communications, and ATM. Prerequisites: ECE 455 or ECE 555 or permission of the instructor.

ECE 643. Computer Architecture Design. 3 Credits.

Digital computer design principles. The course focuses on design of state-of-the-art computing systems. An emphasis is placed on superscalar architectures focusing on the pipelining and out-of-order instruction execution operations. Prerequisites: ECE 443 or ECE 543.

ECE 648. Advanced Digital Design. 3 Credits.

This course introduces methods for using high level hardware description language such as VHDL and/or Verilog for the design of digital architecture. Topics include top-down design approaches, virtual prototyping, design abstractions, hardware modeling techniques, algorithmic and register level design, synthesis methods, and application decomposition issues. Final design project is required. Prerequisites: ECE 341.

ECE 651. Statistical Analysis and Simulation. 3 Credits.

An introduction to probabilistic and statistical techniques for analysis of signals and systems. This includes a review of probability spaces, random variables, and random processes. Analysis and simulation of systems with random parameters and stochastic inputs are considered. Prerequisites: MATH 312 and one undergraduate course in probability or statistics or permission of instructor.

ECE 652. Wireless Communications Networks. 3 Credits.

Prerequisites: ECE 451 or ECE 551 or permission of instructor. Fundamental concepts in wireless communication systems and networks: radio waveform propagation modeling (free-space, reflections and multipath, fading, diffraction and Doppler effects); physical and statistical models for wireless channels; modulation schemes for wireless communications and bandwidth considerations; diversity techniques; MIMO systems and space-time coding; multiuser systems and multiple access techniques (TDMA, FDMA. CDMA); spread spectrum and multiuser detection; introduction to wireless networking and wireless standards; current and emerging wireless technologies.

ECE 667. Cooperative Education. 1-3 Credits.

Student participation for credit based on academic relevance of the work experience, criteria, and evaluative procedures as formally determined by the department and the Cooperative Education/Career Development Services program prior to the semester in which the work experience is to take place.

ECE 668. Internship. 1-3 Credits.

Academic requirements will be established by the department and will vary with the amount of credit desired. Allows students an opportunity to gain short duration career related experience. Meant to be used for one-time experience. Work may or may not be paid. Project is completed during the term. Prerequisites: approval by department and Career Development Services.

ECE 669. Practicum. 1-3 Credits.

Academic requirements will be established by the department and will vary with the amount of credit desired. Allows students an opportunity to gain short duration career related experience. Student is usually already employed - this is an additional project in the organization. Prerequisites: approval by department and Career Development Services.

ECE 695. Topics in Electrical or Computer Engineering. 3 Credits.

This course will be offered as needed, depending upon the need to introduce special subjects to target specific areas of master’s-level specializations in electrical or computer engineering.

ECE 698. Master’s Project. 1-3 Credits.

Individual project directed by the student’s professor in major area of study.

ECE 699. Thesis. 1-9 Credits.

Prerequisites: departmental approval. Directed research for the master’s thesis.

ECE 731. Graduate Seminar. 1 Credit.

Graduate seminar presentations concerning technical topics of current interest given by faculty and invited speakers. Prerequisites: graduate standing.

ECE 742. Computer Communication Networks. 3 Credits.

This is an advanced level course in data communications. A focus is placed on the analysis, modeling, and control of computer communication systems. Topics include packet switched networks, circuit switched networks, ATM networks, network programming, network control and performance analysis, network security, and wireless sensor networks. Prerequisites: ECE 642 or permission of instructor.

ECE 751. Computational and Statistical Methods in Biomedical Engineering. 3 Credits.

This course covers the theoretical foundation and application of commonly used techniques in biomedical engineering. Topics include linear algebra, partial differential equations, regression analysis, applied probabilities, multivariate distributions, Bayesian statistics, hypothesis tests, multiple comparisons, ANOVA, solution of non-linear equations, numerical methods and optimization. Programming software will be used to perform simulations and analyze biomedical data.

ECE 762. Digital Control Systems. 3 Credits.

Mathematical representation, analysis, and design of discrete-time and sampled-data control systems. Topics include transfer function and state space representations, stability, the root locus method, frequency response methods, and state feedback. Prerequisites: ECE 381, ECE 461 or ECE 561, and ECE 601 or permission of instructor.

ECE 763. Multivariable Control Systems. 3 Credits.

A comprehensive introduction to techniques applicable in control of complex systems with multiple inputs and outputs. Both the frequency domain and state variable approaches are utilized. Special topics include robust and optimal control. Prerequisites: ECE 461 or ECE 561 and ECE 601 or permission of instructor.

ECE 766. Nonlinear Control Systems. 3 Credits.

An introduction to mathematical representation, analysis, and design of nonlinear control systems. Topics include phase-plane analysis, Lyapunov stability theory for autonomous and nonautonomous systems, formal power series methods and differential geometric design techniques. Prerequisites: ECE 461 or ECE 561 and ECE 601 or permission of instructor.

ECE 772. Fundamentals of Solar Cells. 3 Credits.

The course provides an overview of the fundamentals of solar cell technologies, design, and operation. The course is designed for graduate students in Engineering and Science interested in the field of alternative energy. The course objectives are to make sure each student: understands the various forms of alternative energies, understands solar cell design, understands solar cell operation, and acquires knowledge of the various solar cells technologies. The topics to be covered include: Alternative energies; Worldwide status of Photovoltaics; Solar irradiance; Review of semiconductor properties; Generation, recombination; Basic equations of device physics; p-n junction diodes; Ideal solar cells; Efficiency limits; Efficiency losses and measurements; Module fabrication; c-Si technology; classical; Photovoltaic systems; Design of stand-alone system; Residential PV systems. Prerequisites: Graduate standing in Engineering and Science.

ECE 773. Introduction to Nanotechnologies. 3 Credits.

This course will introduce the rapidly emerging field of nanotechnology with special focus on underlying principles and applications relevant to the nanoscale dimensions. Specifically, this course will cover (1) the basic principles related to synthesis and fabrication of nanomaterials and nanostructures, (2) zero-, one-, two- and three-dimensional nanostructures, (3) characterization and properties of nanomaterials, and (4) application of nanoscale devices. Prerequisites: graduate standing in Engineering and Science.

ECE 774. Semiconductor Characterization. 3 Credits.

Introduction of basic methods for semiconductor material and device characterization. Topics include resistivity, carrier doping concentration, contact resistance, Schottky barrier height, series resistance, channel length, threshold voltage, mobility, oxide and interface trapped charge, deep level impurities, carrier lifetime, and optical, chemical and physical characterization. Prerequisites: ECE 473 or ECE 573 or equivalent.

ECE 775. Non-thermal Plasma Engineering. 3 Credits.

This course covers the fundamental principals governing low temperature plasma discharges and their applications. First the fundamental properties of plasmas are introduced. These include the kinetic theory of gases, collisional processes, and plasma sheaths. Then in-depth coverage of the physical mechanisms underlying the operation of non-equilibrium plasma discharges is presented, including important characteristics such as their ignition, evolution, and eventual quenching. Finally, practical applications of non-thermal plasmas, including applications in biology and medicine, are presented. Prerequisites: graduate standing.

ECE 777. Semiconductor Process Technology. 3 Credits.

Theory, design and fabrication of modern integrated circuits that consist of nano scale devices and materials. Topics include crystal growth and wafer preparation process including epitaxy, thin film deposition, oxidation, diffusion, ion implantation, lithography, dry etching, VLSI process integration, diagnostic assembly and packaging, yield and reliability. Prerequisites: ECE 473 or ECE 573.

ECE 780. Machine Learning II. 3 Credits.

Advanced topics in machine learning and pattern recognition systems. Data reduction techniques including principle component analysis, independent component analysis and manifold learning. Introduction to sparse coding and deep learning for data representation and feature extraction. Prerequisite: ECE 607 or equivalent.

ECE 782. Digital Signal Processing II. 3 Credits.

Prerequisites: ECE 612 or equivalent. Review of time domain and frequency domain analysis of discrete time signals and systems. Fast Fourier Transforms, recursive and non-recursive digital filter analysis and design, multirate signal processing, optimal linear filters, and power spectral estimation.

ECE 783. Digital Image Processing. 3 Credits.

Principles and techniques of two-dimensional processing of images. Concepts of scale and spatial frequency. Image filtering in spatial and transform domains. Applications include image enhancement and restoration, image compressing, and image segmentation for computer vision. Prerequisites: ECE 381 or ECE 612 or ECE 782 or ECE 882. Prerequisites: ECE 381 or ECE 612 or ECE 782 or ECE 882.

ECE 784. Computer Vision. 3 Credits.

Principles and applications of computer vision, advanced image processing techniques as applied to computer vision problems, shape analysis and object recognition. Prerequisite: graduate standing.

ECE 787. Digital Communications. 3 Credits.

Fundamental concepts of digital communication and information transmission: information sources and source coding; orthonormal expansions of signals, basis functions, and signal space concepts; digital modulation techniques including PAM, QAM, PSK and FSK; matched filters, demodulation and optimal detection of symbols and sequences; bandwidth; mathematical modeling of communication channels; channel capacity. Prerequisites: ECE 451/ECE 551 or equivalent or permission of the instructor.

ECE 795. Topics in Electrical and Computer Engineering. 3 Credits.

Topics in Electrical and Computer Engineering Prerequisites: departmental approval.

ECE 796. Topics in Electrical and Computer Engineering. 3 Credits.

Study of selected topics in Electrical and Computer Engineering. Prerequisites: departmental approval.

ECE 797. Independent Study. 3 Credits.

This course allows students to develop specialized expertise by independent study (supervised by a faculty member) Prerequisites: departmental approval.

ECE 831. Graduate Seminar. 1 Credit.

Graduate seminar presentations concerning technical topics of current interest given by faculty and invited speakers.

ECE 842. Computer Communication Networks. 3 Credits.

This is an advanced level course in data communications. A focus is placed on the analysis, modeling, and control of computer communication systems. Topics include packet switched networks, circuit switched networks, ATM networks, network programming, network control and performance analysis, network security, and wireless sensor networks. Prerequisites: ECE 642 or permission of instructor.

ECE 851. Computational and Statistical Methods in Biomedical Engineering. 3 Credits.

This course covers the theoretical foundation and application of commonly used techniques in biomedical engineering. Topics include linear algebra, partial differential equations, regression analysis, applied probabilities, multivariate distributions, Bayesian statistics, hypothesis tests, multiple comparisons, ANOVA, solution of non-linear equations, numerical methods and optimization. Programming software will be used to perform simulations and analyze biomedical data.

ECE 862. Digital Control Systems. 3 Credits.

Mathematical representation, analysis, and design of discrete-time and sampled-data control systems. Topics include transfer function and state space representations, stability, the root locus method, frequency response methods, and state feedback. Prerequisites: ECE 381, ECE 461 or ECE 561, and ECE 601 or permission of instructor.

ECE 863. Multivariable Control Systems. 3 Credits.

A comprehensive introduction to techniques applicable in control of complex systems with multiple inputs and outputs. Both the frequency domain and state variable approaches are utilized. Special topics include robust and optimal control. Prerequisites: ECE 461 or ECE 561 and ECE 601 or permission of the instructor.

ECE 866. Nonlinear Control Systems. 3 Credits.

An introduction to mathematical representation, analysis, and design of nonlinear control systems. Topics include phase-plane analysis, Lyapunov stability theory for autonomous and nonautonomous systems, formal power series methods and differential geometric design techniques. Prerequisites: ECE 461 or ECE 561 and ECE 601 or permission of instructor.

ECE 872. Fundamentals of Solar Cells. 3 Credits.

The course provides an overview of the fundamentals of solar cell technologies, design, and operation. The course is designed for graduate students in Engineering and Science interested in the field of alternative energy. The course objectives are to make sure each student: understands the various forms of alternative energies, understands solar cell design, understands solar cell operation, and acquires knowledge of the various solar cells technologies. The topics to be covered include: Alternative energies; Worldwide status of Photovoltaics; Solar irradiance; Review of semiconductor properties; Generation, recombination; Basic equations of device physics; p-n junction diodes; Ideal solar cells; Efficiency limits; Efficiency losses and measurements; Module fabrication; c-Si technology; classical; Photovoltaic systems; Design of stand-alone system; Residential PV systems. Prerequisites: Graduate standing in Engineering and Science.

ECE 873. Introduction to Nanotechnologies. 3 Credits.

This course will introduce the rapidly emerging field of nanotechnology with special focus on underlying principles and applications relevant to the nanoscale dimensions. Specifically, this course will cover (1) the basic principles related to synthesis and fabrication of nanomaterials and nanostructures, (2) zero-, one-, two- and three-dimensional nanostructures, (3) characterization and properties of nanomaterials, and (4) application of nanoscale devices. Prerequisites: graduate standing in Engineering and Science.

ECE 874. Semiconductor Characterization. 3 Credits.

Introduction of basic methods for semiconductor material and device characterization. Topics include resistivity, carrier doping concentration, contact resistance, Schottky barrier height, series resistance, channel length, threshold voltage, mobility, oxide and interface trapped charge, deep level impurities, carrier lifetime, and optical, chemical and physical characterization. Prerequisites: ECE 473 or ECE 573 or equivalent.

ECE 875. Non-thermal Plasma Engineering. 3 Credits.

This course covers the fundamental principals governing low temperature plasma discharges and their applications. First the fundamental properties of plasmas are introduced. These include the kinetic theory of gases, collisional processes, and plasma sheaths. Then in-depth coverage of the physical mechanisms underlying the operation of non-equilibrium plasma discharges is presented, including important characteristics such as their ignition, evolution, and eventual quenching. Finally, practical applications of non-thermal plasmas, including applications in biology and medicine, are presented. Prerequisites: graduate standing.

ECE 877. Semiconductor Process Technology. 3 Credits.

Theory, design and fabrication of modern integrated circuits that consist of nano scale devices and materials. Topics include crystal growth and wafer preparation process including epitaxy, thin film deposition, oxidation, diffusion, ion implantation, lithography, dry etching, VLSI process integration, diagnostic assembly and packaging, yield and reliability. Prerequisites: ECE 473 or ECE 573.

ECE 880. Machine Learning II. 3 Credits.

Advanced topics in machine learning and pattern recognition systems. Data reduction techniques including principle component analysis, independent component analysis and manifold learning. Introduction to sparse coding and deep learning for data representation and feature extraction. Prerequisites: ECE 607 or equivalent.

ECE 882. Digital Signal Processing II. 3 Credits.

Prerequisites: ECE 612 or equivalent. Review of time domain and frequency domain analysis of discrete time signals and systems. Fast Fourier Transforms, recursive and non-recursive digital filter analysis and design, multirate signal processing, optimal linear filters, and power spectral estimation.

ECE 883. Digital Image Processing. 3 Credits.

Principles and techniques of two-dimensional processing of images. Concepts of scale and spatial frequency. Image filtering in spatial and transform domains. Applications include image enhancement and restoration, image compressing, and image segmentation for computer vision. Prerequisites: ECE 381 or ECE 612 or ECE 782 or ECE 882.

ECE 884. Computer Vision. 3 Credits.

Principles and applications of computer vision, advanced image processing techniques as applied to computer vision problems, shape analysis and object recognition. Prerequisite: Graduate standing.

ECE 887. Digital Communications. 3 Credits.

Fundamental concepts of digital communication and information transmission: information sources and source coding; orthonormal expansions of signals, basis functions, and signal space concepts; digital modulation techniques including PAM, QAM, PSK and FSK; matched filters, demodulation and optimal detection of symbols and sequences; bandwidth; mathematical modeling of communication channels; channel capacity. Prerequisites: ECE 451/ECE 551 or equivalent or permission of the instructor.

ECE 892. Doctor of Engineering Project. 1-12 Credits.

Directed individual study applying advanced level technical knowledge to identify, formulate, and solve a complex, novel problem in electrical and computer engineering.

ECE 895. Topics in Electrical and Computer Engineering. 3 Credits.

Topics in Electrical and Computer Engineering Prerequisites: departmental approval.

ECE 896. Topics in Electrical and Computer Engineering. 3 Credits.

Topics in Electrical and Computer Engineering.

ECE 897. Independent Study. 3 Credits.

This course allows students to develop specialized expertise by independent study (supervised by a faculty member) Prerequisites: departmental approval.

ECE 899. Dissertation Research. 1-9 Credits.

Directed research for the doctoral dissertation. Prerequisites: departmental approval.

ECE 998. Master's Graduate Credit. 1 Credit.

This course is a pass/fail course for master's students in their final semester. It may be taken to fulfill the registration requirement necessary for graduation. All master's students are required to be registered for at least one graduate credit hour in the semester of their graduation.

ECE 999. Doctoral Graduate Credit. 1 Credit.

This course is a pass/fail course doctoral students may take to maintain active status after successfully passing the candidacy examination. All doctoral students are required to be registered for at least one graduate credit hour every semester until their graduation.