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This course provides an in-depth study of wide bandgap semiconductor devices, with an emphasis on their design, fabrication, performance characteristics, and applications in power electronics, RF/microwave, and optoelectronics. The course focuses on silicon carbide (SiC) and gallium nitride (GaN) devices, while also exploring emerging ultra-wide bandgap materials like gallium oxide (Ga?O?) and diamond.

Prerequisite: ·¡°ä·¡Ìý404 or instructor approval.

Typically offered in Fall only

This course investigates the engineering techniques to understand, repair, replace, or enhance neural systems. The topics to be covered includes the following: the history of bioelectricity phenomena, the basics of modern neuroscience in electrical engineering terms and models, design of functional electrical interfaces with the nervous system for stimulating and recording purposes, basics of electrochemistry development of various systems for neuroprosthetics and neurorobotics applications such as pacemakers, cochlear implants and neuroprosthetic limbs.

Senior or graduate standing.

Typically offered in Fall only

The need for parallel and massively parallel computers. Taxonomy of parallel computer architecture, and programming models for parallel architectures. Example parallel algorithms. Shared-memory vs. distributed-memory architectures. Correctness and performance issues. Cache coherence and memory consistency. Bus-based and scalable directory-based multiprocessors. Interconnection-network topologies and switch design. Brief overview of advanced topics such as multiprocessor prefetching and speculative parallel execution. Credit is not allowed for more than one course in this set: ·¡°ä·¡Ìý406, ·¡°ä·¡Ìý506, °ä³§°äÌý406.

Typically offered in Fall, Spring, and Summer

Concepts of digital signal processing: Discrete-Time Signals and Systems, Z-Transform, Frequency Analysis of Signals and Systems, Digital Filter Design, Analog-to-Digital and Digital-to-Analog Conversion, and the Discrete Fourier Transform.

Prerequisite: ·¡°ä·¡Ìý301

Typically offered in Fall only

Analog integrated circuits and analog integrated circuit design techniques. Review of basic device and technology issues Comprehensive coverage of MOS and Bipolar operational amplifiers. Brief coverage of analog-to-digital conversion techniques and switched-capacitor filters. Strong emphasis on use of computer modeling and simulation as design tool. Students required to complete an independent design project.

Prerequisite: ECE403

Typically offered in Fall only

Topics covered will include modeling by minimum description length, scientific programming, optimization, machine learning basics, sparse signal processing, and dimensionality reduction.

P: ·¡°ä·¡Ìý301 or equivalent (Fourier transforms), ·¡°ä·¡Ìý410 or 510 (analog to digital conversion, filters), probability, linear algebra, calculus.

Typically offered in Fall only

Probabilistic descriptions of signals and noise, including joint, marginal and conditional densities, autocorrelation, cross-correlation and power spectral density. Linear and nonlinear transformations. Linear least-squares estimation. Signal detection.

Prerequisite: Statistics 371; Signals and Linear Systems; Linear Algebra; Calculus

Typically offered in Fall only

This course is a first graduate-level course in digital communications. Functions and interdependence of various components of digital communication systems will be discussed. Statistical channel modeling, modulation and demodulation techniques, optimal receiver design, performance analysis methods, source coding, quantization, and fundamentals of information theory will be covered in this course.

Prerequisite: ·¡°ä·¡Ìý514, ³§°ÕÌý371, Signals and Linear Systems; Linear Algebra

Typically offered in Spring only

Introduction to analysis and design of continuous and discrete-time dynamical control systems. Emphasis on linear, single-input, single-output systems using state variable and transfer function methods. Open and closed-loop representation; analog and digital simulation; time and frequency response; stability by Routh-Hurwitz, Nyquist and Liapunov methods; performance specifications; cascade and state variable compensation. Assignments utilize computer-aided analysis and design programs.

Prerequisite: ECE 435 or ·¡°ä·¡Ìý301

Typically offered in Spring only

The design of object-oriented systems, using principles such as the GRASP principles, and methodologies such as CRC cards and the Unified Modeling Language (ULM). Requirements analysis. Design patterns Agile Methods. Static vs. dynamic typing. Metaprogramming. Open-source development practices and tools. Test-first development. Project required, involving contributions to an open-source software project.

Prerequisite: °ä³§°äÌý326 or ·¡°ä·¡Ìý309

Typically offered in Fall and Spring

This course surveys the methods and application of wearable electronics and microsystems to monitor human biometrics, physiology, and environmental conditions. Topics covered include wearable electrocardiograms, blood-glucose monitors, electronic tattoos, wearable energy harvesting, "smart" clothing, body area networks, and distributed population networks. Critical comparison of different sensor modalities, quantitative metrics, and how their limitations in realistic applications define the selection, design, and operation criteria of one type of sensor over another will be considered.

Prerequisite: Senior standing

Typically offered in Fall only

Fundamentals of medical instrumentation systems, sensors, and biomedical signal processing. Example instruments for cardiovascular and respiratory assessment. Clinical laboratory measurements, theraputic and prosthetic devices, and electrical safetyrequirements. Students should have background in electronics design using operational amplifiers.

Typically offered in Spring only

This course investigates photonic devices at the component level and examines the generation, propagation and detection of light in the context of optical communication systems. Topics include planar and cylindrical optical waveguides, LEDs, lasers,optical amplifiers, integrated optical and photodetectors, design tradeoffs for optical systems, passive optical networks, and wavelength division multiplexed systems.

Prerequisite: Graduate standing or Senior standing ; Engineering Majors or Physics Majors

Typically offered in Spring only

Introduction to communication theory and radio system design. Design and analysis of radio systems, such as heterodyne transceivers, and effects of noise and nonlinearity. Design and analysis of radio circuits: amplifiers, filters, mixers, baluns and other transmission line and discrete circuits.

Prerequisite: ·¡°ä·¡Ìý302

Typically offered in Spring only

Techniques for the design of neural networks for machine learning. An introduction to deep learning. Emphasis on theoretical and practical aspects including implementations using state-of-the-art software libraries.

Prerequisite: Programming experience (an object-oriented language such as Python) and ·¡°ä·¡Ìý220 or ²Ñ´¡Ìý305 or ²Ñ´¡Ìý405 or equivalent and ²Ñ´¡Ìý242 or equivalent and ³§°ÕÌý370 or ³§°ÕÌý371 or equivalent

Typically offered in Spring only

A hands on laboratory based course where students work in teams to construct a semester long project. The course focuses on analog and digital electronics, including: radio frequency circuits, micro-controllers and programming, digital logic, control systems, operational amplifiers and their applications in integrators and differentiators as well as active filters, oscillators, various classes of amplifiers, PID controllers, regulators, and power supplies etc. Projects change each semester and are selected by the instructor. An Exemplar project is students build a Tesla coil from scratch. The design includes: power management circuits, power electronics, analog signal [processing, 3D printing and mechanical assembly, electromagnetic design of coils and capacitors, micro-controller coding and control algorithms.

Prerequisite: ·¡°ä·¡Ìý302 or equivalent

Typically offered in Spring and Summer

This course explores the theory and operational characteristics of semiconductor optoelectronic devices. It broadly covers the fundamentals of the propagation, modulation, generation, and absorption of light in semiconductors. Topics include the energy transfer between photons and electrons/holes, light emission and absorption, radiative and non-radiative processes, electrical and optical characteristics, semiconductor materials, heterojunctions, and light extraction and trapping. Specific devices that are discussed include laser diodes, light-emitting diodes, electroabsorption modulators, photodetectors, and solar cells.

Prerequisite: ·¡°ä·¡Ìý302 and ·¡°ä·¡Ìý404 or equivalent; knowledge of programming and plotting software such as MATLAB, Python, or Excel

Typically offered in Spring only

To learn basic physical principles behind modern electronic and optoelectronic devices based on semiconductors including the wide bandgap.

Prerequisite: ·¡°ä·¡Ìý303, B average in ECE and MA

Typically offered in Fall only

This course introduces design of high-performance power electronic circuits where the integrated physical topology must be considered as part of the circuit, and provides an understanding of the multitude of parasitic elements created by circuit layout, materials and fabrication techniques. A core tenant is learning integrated design with muliphysics simulators. This prepares the student for high-density, high-frequency design of converters/inverters/IVRs, pulse-power circuits (e.g. SSCBs and Double-Pulse Test circuits), gate drives and resonant topologies. The student is also introduced to AI/ML design and optimization of electro-physical circuits for low voltage (<=48V) and high voltage (>10kV) conversion applications and the commonalities in supplying power to the chip, for mobility, and to the grid. Students will have hands-on introduction to processes in the packaging lab(s).

Prerequisite: ·¡°ä·¡Ìý434 or similar, or with permission of instructor

Typically offered in Spring only

DC and AC analysis of isolated and non-isolated switch mode power supply. Basic converter topologies covered include: buck, boost and buck/boost and their transformer-couples derivatives. Design of close loop of these DC/DC converters. Power devices and their applications in DC/DC converters. Inductor and transformer design.

Prerequisite: ·¡°ä·¡Ìý302

Typically offered in Fall only

A practical introduction to electromechanical systems with emphasis on modeling, analysis, design, and control techniques. Provides theory and practical tools for the design of electric machines (standard motors, linear actuators, magnetic bearings, etc). Involves some self-directed laboratory work and culuminates in an industrial design project. Topics include Maxwell's equations, electromechanical energy conversion, finite element analysis, design and control techniques.

Prerequisite: ²Ñ´¡Ìý341

Typically offered in Spring and Summer

Discrete system dynamics, sampled-data systems, mathematical representations of analog/digital and digital/analog conversions, open- and -closed-loop systems, input-output relationships, state-space and stability analyses, time and frequency domain analysis with emphasis on time domain. Design and implementation of digital controllers. Case studies. Design project including hardware implementation.

Prerequisite: Graduate standing & ·¡°ä·¡Ìý436 or similar or consent of instructor

Typically offered in Fall only

Processes used in fabrication of modern integrated circuits. Process steps for crystal growth, oxidation, diffusion, ion implantation, lithography, chemical vapor deposition, etching, metallization, layout and packaging. Process integration for MOS and biopolar processes. Characterization techniques, simulation, yield and reliability.

Prerequisite: ·¡°ä·¡Ìý404

Typically offered in Fall only

Brief review of Maxwell's Equations, constitutive relations and boundary conditions. Reflection and refraction of plane waves; power and energy relations in isotropic media. Potential functions, Green's functions and their applications to radiation and scattering. Antenna fundamentals: linear antennas, uniform linear arrays and aperture antennas, microstrip antennas. Fundamentals of numerical methods for electromagnetic simulation and antenna design.

Prerequisite: ·¡°ä·¡Ìý422

Typically offered in Spring only

This course introduces theoretical and practical concepts for antennas and arrays. Students will learn antenna fundamentals and basic parameters, the relationships between radiation and vector potentials, and apply key electromagnetic theorems such as image theory and equivalence principle. The theory and design of linear antennas, aperture antennas, microstrip antennas are discussed. Radiation pattern control via phased arrays, reflectarrays, and periodic structures are studied. Students will learn CAD tools for electromagnetic design. This course assumes familiarity with Maxwell's equations, electromagnetic waves, electromagnetic theorems, and transmission line theory.

Prerequisite: ·¡°ä·¡Ìý422 or equivalent

Typically offered in Spring only

A study of the design of digital and mixed signal interconnect and packaging. Topics covered include: Single chip (surface mount and through-hole) and multi-chip module packaging thecnology; packaging techology selection; thermal design; electricaldesign of printed circuit board, backplane and multi-chip module interconnect; receiver and driver selection; EMI control; CAD tools; and measurement issues.

Prerequisite: ·¡°ä·¡Ìý302

Typically offered in Spring only

Establishing trust in hardware. Methods and practices to secure digital devices and demonstrate how they can fail at the hardware layer. Review of cryptographic systems and primitives deployed in existing cyberinfrastructure. Information leaks from a wide array of hardware vulnerabilities. Hands-on experiments for attacks and countermeasures. Trusted computing bases and emerging attacks on modern computer architectures.

Restriction: Graduate Standing. A solid background in hardware design including digital design basics, RTL design, and computer architectures is useful. A background in cryptography is not required.

Typically offered in Fall only

Digital systems design in CMOS VLSI technology: CMOS devise physics, fabrication, primitive components, design and layout methodology, integrated system architectures, timing, testing future trends of VLSI technology.

Prerequisite: ·¡°ä·¡Ìý302

Typically offered in Spring only

Study of cloud computing principles, architectures, and actual implementations. Students will learn how to critically evaluate cloud solutions, how to construct and secure a private cloud computing environment based on open source solutions, and how to federate it with external clouds. Performance, security, cost, usability, and utility of cloud computing solutions will be studied both theoretically and in hands-on exercises. Hardware-, infrastructure-, platform-, software-, security-, - "as-a-service".

Prerequisites: °ä³§°äÌý501 and either ECE/°ä³§°äÌý570 or ECE/°ä³§°äÌý573

Typically offered in Fall only

The course provides broad exposure to Python programming to solve ECE-related problems. Course topics include basic mathematical operations, string /array operations, lists, functions, standard libraries in Python, files/folder operations, extracting and parsing data, data visualization techniques (graphs, tables, charts), and interfacing basic hardware such as sensors and microcontrollers for data collection and storage. The course will also have an introduction to the Python OpenCV library for computer vision, networking socket libraries, and machine learning libraries. Thus, the course is mainly designed for Electrical and Computer Engineering students at an advanced level of programming knowledge, not an introductory level of programming, and will differ from other programming and Python classes due to topics in hardware interfacing and Computer Vision. Please see a detailed list of topics and learning outcomes to know more about the course.

Prerequisite:(·¡°ä·¡Ìý209 and ·¡°ä·¡Ìý211 and ·¡°ä·¡Ìý212 and ·¡°ä·¡Ìý220) Or their equivalent. Restricted to ECE students.

Typically offered in Summer only

Design of the hardware aspects of wireless systems with principle emphasis on design of radio frequency (RF) and microwave circuitry. Introduction of system concepts then functional block design of a wireless system. RF and microwave transistors, noise, power ampliefiers, CAE, linearization and antennas.

Prerequisite: ·¡°ä·¡Ìý303, ·¡°ä·¡Ìý302

Typically offered in Fall only

Fundamental concepts of economic operation and control of power systems. Real and reactive power balance. System components, characteristics and operation. Steady state and dynamic analysis of interconnected systems. Tieline power and load-frequencycontrol with integrated economic dispatch.

Prerequisite: ·¡°ä·¡Ìý305, ECE 435

Typically offered in Fall only

Features and components of electric power distribution systems, power flow, short circuit and reliability analysis, basic control and protection, communications and SCADA, new "smart" functionality such as integrated volt/var control, automated fault location isolation and restoration, demand response and advanced metering infrastructure, integration of distributed generation and energy storage.

Prerequisite: ·¡°ä·¡Ìý451

Typically offered in Spring only

Principles and characteristics of renewable energy based electric power generation technologies such as photovoltaic systems, wind turbines, and fuel cells. Main system design issues. Integration of these energy sources into the power grid. Economics of distributed generation. Credit is not allowed for both ·¡°ä·¡Ìý452 and ·¡°ä·¡Ìý552.

Prerequisite: ·¡°ä·¡Ìý305 or ·¡°ä·¡Ìý331

Typically offered in Spring only

The operational physics and design concepts for power semiconductor devices. Relevant transport properties of semiconductors. Design of breakdown voltage and edge terminations. Analysis of Schottky rectifiers, P-i-N rectifiers, Power MOSFETs, Bipolar Transistors, Thyristors and Insulated Gate Bipolar Transistors.

Prerequisite: ·¡°ä·¡Ìý404

Typically offered in Fall only

Topics covered in this course: Principles of Electromechanical energy conversion; analysis, modeling and control of electric machinery; steady state performance characteristics of direct current, induction, synchronous and reluctance machines; scalar control of induction machines; introduction to direct and quadrature axis theory; dynamic models of induction and synchronous machines; vector control of induction and synchronous machines.

Prerequisite: ·¡°ä·¡Ìý305 or equivalent

Typically offered in Spring only

An introduction to robotics: history and background, design, industrial applications and usage. Manipulator sensors, actuators and control, linear, non-linear, and force control. Manipulator kinematics: position and orientation, frame assignment, transformations, forward and inverse kinematics. Jacobian: velocities and static forces. Manipulator Kinetics: velocity, acceleration, force. Trajectory generation. Programming languages: manipulator level, task level, and object level. Introduction to advanced robotics. Credit not allowed for both ·¡°ä·¡Ìý455 and 555.

Prerequisite: ECE 435; ·¡°ä·¡Ìý436; ·¡°ä·¡Ìý456

Typically offered in Spring only

The study of electro-mechanical systems controlled by microcomputer technology. The theory, design and construction of smart systems; closely coupled and fully integrated products and systems. The synergistic integration of mechanisms, materials, sensors, interfaces, actuators, microcomputers, controllers, and information technology.

Prerequisite: ·¡°ä·¡Ìý308

Typically offered in Fall only

MOS capacitor and transistor regions of operation. Depletion and enhancement mode MOSFETs. MOSFET scaling, short and narrow channel effects. MOSFETs with ion-implanted channels. High field effects in MOSFETs with emphasis on recent advances in design of hit carrier suppressed structures. Small and large signal MOSFET models. State of the art in MOS process integration.

Prerequisite: ·¡°ä·¡Ìý404

Typically offered in Fall only

Foundation for designing and using digital devices to accurately capture and display color images, spatial sampling, frequency analysis, quantization and noise characterization of images. Basics of color science are presented and applied to image capture and output devices.

Prerequisites: ·¡°ä·¡Ìý301 and ³§°ÕÌý372

Typically offered in Fall only

Concepts of architectures for embedded computing systems. Emphasis on hands-on implementation. CPU scheduling approaches to support multithreaded programs, including interrupts, cooperative schedulers, state machines, and preemptive scheduler (real-time kernel). Communication and synchronization between threads. Basic real-time analysis. Using hardware peripherals to replace software. Architectures and design patterns for digital control, streaming data, message parsing, user interfaces, low power, low energy, and dependability. Software engineering concepts for embedded systems. Students may not receive credit for both ·¡°ä·¡Ìý460 and ·¡°ä·¡Ìý560.

Prerequisite: C- or better in ·¡°ä·¡Ìý306

Typically offered in Fall only

Design and implementation of software for embedded computer systems. The students will learn to design systems using microcontrollers, C and assembly programming, real-time methods, computer architecture, interfacing system development and communication networks. System performance is measured in terms of power consumption, speed and reliability. Efficient methods for project development and testing are emphasized. Credit will not be awarded for both ·¡°ä·¡Ìý461 and ·¡°ä·¡Ìý561. Restricted to CPE and EE Majors.

Prerequisite: Grade of C- or better in ·¡°ä·¡Ìý460

Typically offered in Spring only

Architecture of microprocessors. Measuring performance. Instruction-set architectures. Memory hierarchies, including caches, prefetching, program transformations for optimizing caches, and virtual memory. Processor architecture, including pipelining, hazards, branch prediction, static and dynamic scheduling, instruction-level parallelism, superscalar, and VLIW. Major projects.

Prerequisite: ·¡°ä·¡Ìý209 and ·¡°ä·¡Ìý212

Typically offered in Fall and Spring

Design of digital application specific integrated circuits (ASICs) and Field Programmable Gate Arrays (FPGAs) based on hardware description languages (Verilog) and CAD tools. Emphasis on design practices and underlying methods. Introduction to ASIC specific design issues including verification, design for test, low power design and interfacing with memories. Required design project. Expected Prior Experience or Background: ·¡°ä·¡Ìý310 is useful but not assumed. Functionally, I assume that students are familiar with logic design, including combinational logic gates, sequential logic gates, timing design, Finite State Machines, etc.

P: Grade of C or better in ·¡°ä·¡Ìý212 or equivalent.

Typically offered in Fall only

The course explores basic concepts and mechanisms related to the design of modern operating systems, including: process scheduling and coordination, memory management, synchronization, storage, file systems, security and protection, and their application to multi-core and many-core processors. The course involves coding projects requiring strong C programming skills.

Prerequisite: ECE306 or CSC246; ECE309; Restrictions: ECE465, ECE565 and CSC501 are mutually exclusive: students may not receive credit for both ECE465 and ECE565, or both ECE465 and CSC501, or both ECE565 and CSC501

Typically offered in Fall only

Provide insight into current compiler designs dealing with present and future generations of high performance processors and embedded systems. Introduce basic concepts in scanning and parsing. Investigate in depth program representation, dataflow analysis, scalar optimization, memory disambiguation, and interprocedural optimizations. Examine hardware/software tade-offs in the design of high performance processors, in particular VLIW versus dynamically scheduled architectures. Investigate back-end code generation techniques related to instruction selection, instruction scheduling for local, cyclic and global acyclic code, and register allocation and its interactions with scheduling and optimization.

Prerequisites: ·¡°ä·¡Ìý209 or competency in any machine language programming and ·¡°ä·¡Ìý309 or °ä³§°äÌý316 or proficiency in either C or C++ programming using advanced data structures, like hash tables and linked lists.P: ·¡°ä·¡Ìý209 or competency in an

Typically offered in Spring only

Conventional and emerging nano-manufacturing techniques and their applications in the fabrication of various structures and devices. Review of techniques for patterning, deposition, and etching of thin films including emerging techniques such as an imprint and soft lithography and other unconventional techniques. Electronic and mechanical properties of 0 to 3-D nanostructures and their applications in nano-electronics, MEMS/NEMS devices, sensing, energy harvesting, storage, flexible electronics and nano-medicine. Credit for both ECE/°ä±á·¡Ìý468 and ECE/°ä±á·¡Ìý568 is not allowed.

Prerequisite: ·¡Ìý304

Typically offered in Fall only

This course provides an introduction to quantum computing. It will feature the three pillars, quantum system architectures, algorithms, and programming of quantum computing. Its focus is on the applicability of problems to quantum computing from a practical point of view, with only the necessary foundational coverage of the physics and theoretical aspects to understand quantum computing. Both simulation software and actual quantum computers will be utilized to prototype problem solutions. This should develop a better understanding of how problems are transformed into quantum algorithms and what programming language support is best suited for a given application area. The course will require significant background reading plus presentations, projects, and exercises per participant.

Prerequisite: Knowledge of Python programming and linear algebra

Typically offered in Fall only

General introduction to computer networks. Discussion of protocol principles, local area and wide area networking, OSI stack, TCP/IP and quality of service principles. Detailed discussion of topics in medium access control, error control coding, and flow control mechanisms. Introduction to networking simulation, security, wireless and optical networking.

Prerequisite: ECE 206 or CSC 312, ³§°ÕÌý371, CSC 258 and Senior standing or Graduate standing

Typically offered in Fall, Spring, and Summer

The course focuses on advanced topics in Internet of Things (IoT). These topics include (but are not limited to) challenges in the design of IoT infrastructure, limitations of existing protocols such as HTTP when used with IoT, applications of machine learning techniques, and leveraging cloud to achieve the full potential of IoT. The students will be encouraged to read research publications in this area. The course also includes multiple demos using real IoT hardware such as Raspberry Pi boards and/or other similar devices. The course also covers one or more of cloud IoT platform such as AWS IoT. To enable students to see IoT in action, they will be required to do assignments/projects using real IoT devices.

Restriction: Students are expected to have good programming skills.

Typically offered in Spring only

This course introduces advanced optimization theory and algorithms with rapidly growing applications in machine learning, systems, and control. Methods are given to obtain a non-dynamic system's extremum (minimum or maximum) and use these methods in various engineering applications. This course aims to prepare graduate students with a solid theoretical and mathematical foundation and applied techniques at the intersection of optimization, algorithms, and machine learning to conduct advanced research in related fields. Students will gain expertise in designing algorithms based on common techniques, dealing with intractable problems, and implementing algorithms given the description. Students must undertake a semester-long project (at Google Colab) that practices the optimization theory and algorithms in their areas of interest. These projects can replicate or improve a known solving strategy for a given optimization problem to assess and compare the performance.

Restriction: Introductory courses in probability and linear algebra and Graduate Student Standing

Typically offered in Fall only

Principles and issues underlying provision of wide area connectivity through interconnection of autonomous networks. Internet architecture and protocols today and likely evolution in future. Case studies of particular protocols to demonstrate how fundamental principles applied in practice. Selected examples of networked clinet/server applications to motivate the functional requirements of internetworking. Project required.

Prerequisite: CSC/·¡°ä·¡Ìý570

Typically offered in Fall and Spring

This course presents foundational concepts of computer and network security and privacy. It covers a wide breadth of concepts, including; Fundamentals of computer security and privacy, including security models, policies, and mechanisms; Cryptography for secure systems, including symmetric and asymmetric ciphers, hash functions, and integrity mechanisms; Authentication of users and computers; Network attacks and defenses at the network and application layers; Common software vulnerabilities and mitigation strategies; Secure operating systems and seminal access control models and policies; Principles of intrusion detection; Privacy, including considerations of end-user technologies.

Prerequisite: (°ä³§°äÌý316 or ECE309) and (°ä³§°äÌý401 or ECE407) or equivalent

Typically offered in Fall and Spring

Introduction to cellular communications, wireless local area networks, ad-hoc and IP infrastructures. Topics include: cellular networks, mobility mannagement, connection admission control algorithms, mobility models, wireless IP networks, ad-hoc routing, sensor networks, quality of service, and wireless security.

Prerequisite: ECE/°ä³§°äÌý570

Typically offered in Spring only

Topics related to design and management of campus enterprise networks, including VLAN design; virtualization and automation methodologies for management; laboratory use of open space source and commercial tools for managing such networks.

Typically offered in Fall only

The course provides an introduction to the theoretical fundamentals and practical/experimental aspects of Long Term Evolution (LTE) and 5G systems. A basic understanding of digital communications and radio access networks is required. Following topics will be studied: 1) User and control plane protocols, 2) physical layer for downlink, 3) physical layer for uplink, 4) practical deployment aspects, 5) LTE-Advanced, 6) 5G communications. Fundamental concepts to be covered in the context of LTE/5G systems include OFDMA/SC-FDMA, synchronization, channel estimation, link adaptation, MIMO, scheduling, and millimeter wave systems. Students are recommended to have the prior knowledge gained from ·¡°ä·¡Ìý570 or ECE 582 before taking this course. The course will also require using Matlab software for homeworks, including its LTE and 5G toolboxes.

Typically offered in Fall only

Workload characterization, collection and analysis of performance data, instrumentation, tuning, analytic models including queuing network models and operational analysis, economic considerations.

Prerequisite: CSC 312 or ECE 206 and ²Ñ´¡Ìý421

Typically offered in Fall only

Protection systems used to protect the equipment in an electric power system against faults, fault analysis methods, basic switchgear used for protection, basic protection schemes, such as overcurrent, differential, and distance protection and their application.

Prerequisite: ·¡°ä·¡Ìý451

Typically offered in Spring only

This course introduces fundamentals of project management and system engineering principles in a wide range of electric power applications from concept through termination. The course also provides opportunities for students to adapt technical content to both expert and novice audiences in project management reports and presentations. Restricted to Master of Science in Electric Power Systems Engineering.

Prerequisite: ·¡°ä·¡Ìý451

Typically offered in Spring only

In this capstone course students will apply electric engineering and science knowledge to an electrical power engineering project. Consideration of the design process including feasibility study, preliminary design detail, cost effectiveness, along with development and evaluation of a prototype accomplished through design-team project activity. Complete written and oral engineering report required. Restricted to Master of Science in Electric Power Systems Engineering.

Prerequisite: ·¡°ä·¡Ìý583

Typically offered in Fall and Summer

Evolution of the electric utility industry, the structure and business models of the industry, the regulatory factors within which the utilities operate, the operations of the utility industry and the current policy and emerging technology issues facing the business. The course includes significant interaction with industry officials and utility business operations.

Prerequisite: ·¡°ä·¡Ìý451

Typically offered in Fall only

This is an introductory course on communication technologies and SCADA (supervisory control and data acquisition) systems for smart electric power applications. The fundamental concepts, principles, and practice of how communication systems operate are introduced and the function of main components reviewed. Application of communication systems for electric power, in particular SCADA architecture and protocols are also introduced. The course includes hands-on experience with typical intelligent electronic devices interconnected by a communication system.

R: Graduate Students Only

Typically offered in Fall only

Review of solutions to first and second order differential equations for electric power circuit transients. Applications to fault current instantaneous, shunt capacitor transients, circuit switching transients and overvoltages, current interruption and transformer transient behavior. Computer solution techniques for transient analysis using PSCAD and Matlab/Simulink. Modeling of utility power electronics circuits including single and three-phase rectifiers and inverters. Applications of power electronics for transmission system control and renewable generation. Distributed line modeling for traveling wave analysis of surge events. Introduction to voltage insulation, surge arrestor operation and lightning stroke analysis.

Typically offered in Fall only

This course provides an introduction to the field of systems biology with a focus on mathematical modeling, gene regulatory network and metabolic pathway reconstruction in plants. Students will learn how to integrate biological data with mathematical, statistical, and computational approaches to gain new insights into structure and behavior of complex cellular systems. Students are expected to have a minimal background in calculus and basic biology. The course will build on these basic concepts and provide all students, regardless of background or home department, with the fundamental biology, mathematics, and computing knowledge needed to address systems biology problems.

Prerequisite: ²Ñ´¡Ìý131 or ²Ñ´¡Ìý141

Typically offered in Fall only

This course studies the fundamental and recent advances of energy harvesting from two of the most abundant sources, namely solar and thermal energies. The first part of the course focuses on photovoltaic science and technology. The characteristics and design of common types of solar cells is discussed, and the known approaches to increasing solar cell efficiency will be introduced. After the review of the physics of solar cells, we will discuss advanced topics and recent progresses in solar cell technology. The second part of the course is focused on thermoelectric effect. The basic physical properties, Seebeck coefficient, electrical and thermal conductivities, are discussed and analyzed through the Boltzmann transport formalism. Advanced subject such as carrier scattering time approximations in relation to dimensionality and the density of states are studied. Different approaches for further increasing efficiencies are discussed including energy filtering, quantum confinement, size effects, band structure engineering, and phonon confinement.

P: ·¡°ä·¡Ìý302 or ·¡Ìý304 or ²Ñ³§·¡Ìý355 or ±Ê³ÛÌý407

Typically offered in Spring only

Two-semester sequence to develop new courses and to allow qualified students to explore areas of special interest.

Prerequisite: B average in technical subjects

Typically offered in Fall and Spring

Two-semester sequence to develop new courses and to allow qualified students to explore areas of special interest.

Prerequisite: B average in technical subjects

Typically offered in Fall and Spring

Introduction of the Electrical and Computer Engineering Department graduate program. Introduction to computing and library facilities; Review of NC State student code of conduct and ethics. Structure of the ECE department. General information for starting graduate studies. Overview of on-going research projects by faculty members. Must hold graduate standing.

Typically offered in Fall and Spring

Provision of opportunity for individual students to explore topics of special interest under direction of a member of faculty.

Prerequisite: B average in technical subjects

Typically offered in Fall and Spring

The study of advanced topics of special interest to individual students under direction of faculty members.

Prerequisite: Graduate standing

Typically offered in Fall, Spring, and Summer

This course on semiconductor manufacturing focuses on high-volume production, process optimization, automation, and yield improvement, distinct from semiconductor fabrication courses. It covers the full manufacturing pipeline--from wafer production and process integration to packaging, reliability, and cost optimization. Students will explore design for manufacturability (DFM), statistical process control (SPC), metrology, defect inspection, and smart manufacturing technologies such as AI-driven automation. Hands-on components include cleanroom process control (if available), semiconductor fab simulations, defect analysis, yield optimization exercises, packaging assembly, and failure analysis labs. The course concludes with an industry case study competition and a guest lecture from a semiconductor manufacturing expert, ensuring students gain both theoretical and practical insights into modern semiconductor manufacturing challenges and solutions.

Prerequisite: Graduate Standing

Typically offered in Summer only

This practicum course on Application Engineering using Wide Bandgap (WBG) Semiconductors is a project-based, hands-on experience focused on real-world applications of SiC and GaN devices in power electronics, EVs, RF systems, and renewable energy. The first week covers mini-projects, including SiC/GaN device characterization, DC-DC converters, high-frequency inverters, EV fast chargers, and solar inverters. In the second week, students work in teams on a capstone project, selecting from high-efficiency EV drivetrain inverters, GaN-based 5G RF power amplifiers, or SiC-based bidirectional DC-DC converters. The course culminates in a final project showcase with industry expert feedback. Designed for senior undergraduates, graduate students, or industry professionals, this practicum provides cutting-edge skills in WBG semiconductor applications through hands-on labs, simulations, and prototype testing.

Prerequisite: Graduate Standing

Typically offered in Summer only

This course requires an internship with a company or organization outside the ¸£Àû±ÆÕ¾. The student will secure an internship of a technical nature and complete and submit a Coop report for evaluation.

Restricted: 14EEMS, 14CPEMS, 14CNEMS, 14EPSEMS

Typically offered in Fall and Spring

This course is for long-term projects supervised by ECE faculty for students to explore cutting-edge research in ECE.

R: Graduate Standing

Typically offered in Fall, Spring, and Summer

Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment.

Prerequisite: Master's student

Typically offered in Spring only

Instruction in research and research under the mentorship of a member of the Graduate Faculty.

Prerequisite: Master's student

Typically offered in Fall only

Thesis research.

Prerequisite: Master's student

Typically offered in Fall, Spring, and Summer

For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research.

Prerequisite: Master's student

Typically offered in Summer only

For students who have completed all credit hour requirements and full-time enrollment for the master's degree and are writing and defending their thesis.

Prerequisite: Master's student

Typically offered in Fall and Spring

Advanced topics in parallel computer architecture. Hardware mechanisms for scalable cache coherence, synchronization, and speculation. Scalable systems and interconnection networks. Design or research project required.

Prerequisite: ECE/°ä³§°äÌý506, ECE 521

Typically offered in Spring only

Digital signal processing (DSP) fundamental concepts are reviewed, providing additional depth in certain areas. The following advanced DSP concepts are covered: digital filter design, sample rate conversion, filter banks, wavelets, power spectrum estimation, and adaptive filtering. Additional topics are introduced at the instructor's discretion.

Prerequisite: ·¡°ä·¡Ìý410 or ·¡°ä·¡Ìý510 or equivalent; though not required, a background in linear algebra (²Ñ´¡Ìý305 or ²Ñ´¡Ìý405 or equivalent) and probability/random variables (³§°ÕÌý371 or ·¡°ä·¡Ìý514 or equivalent) is helpful

Typically offered in Spring only

Analysis, simulation, and design of the key building blocks of an integrated radio: amplifiers, mixers, and oscillators. Topics include detailed noise optimization and linearity performance of high frequency integrated circuits for receivers and transmitters. Introduction to several important topics of radio design such as phase-locked loops, filters and large-signal amplifiers. Use of advanced RF integrated circuit simulation tools such as SpectreRF or ADS for class assignments.

Prerequisite: ·¡°ä·¡Ìý511

Typically offered in Spring only

This course is a graduate level course in Analog-to-digital converters. Students will learn the fundamentals of sampling and the translation of signals form the digital to analog and analog to digital domains. Students will learn the basic circuits unique to data converters and how they impact design. Students will learn to a design digital-to-analog converter as well as 3 ADCs: Pipeline, Sigma-Delta and Successive-approximation. After completion of this course you will have the background to successfully design an ADC and DAC.

Prerequisite: ·¡°ä·¡Ìý511

Typically offered in Fall only

Steady state and transient analysis of circuits with emphasis on circuit theory and computer methods. Consideration of many analysis techniques, including linear nodal, signal flow graph, state equation, time-domain and functional simulation and analysis of sampled data systems. Sensitivity and tolerance analysis, macromodeling of large circuits and nonlinear circuit theory.

Prerequisite: ·¡°ä·¡Ìý511

Development and examination of techniques used in the design of microwave and millimeter wave components and systems. Specific topics include frequency planning, system design using modules, and design of microwave amplifiers and oscillators. Design for specified frequency, noise, power, mixer or oscillator performance will be covered. There are three design projects: system planning, amplifier design, and oscillator design all using commercial microwave computer aided design tools.

Prerequisite: ·¡°ä·¡Ìý549

Typically offered in Spring only

Study of transaction-level modeling of digital systems-on-chip using SystemC. Simulation and analysis of performance in systems with distributed control. Synthesis of digital hardware from high-level descriptions. Physical design methodologies, including placement, routing, clock-tree insertion, timing, and power analysis. Significant project to design a core at system and physical levels. Knowledge of object-oriented programming with C and register-transfer-level design with verilog or VHDL is required.

Prerequisite: ·¡°ä·¡Ìý464 or ·¡°ä·¡Ìý564

Typically offered in Fall only

Survey of advanced computer microarchitecture concepts. Modern superscalar microarchitecture, complexity-effective processors, multithreading, advanced speculation techniques, fault-tolerant microarchitectures, power and energy management, impact of new technology on microarchitecture. Students build on a complex simulator which is the basis for independent research projects.

Prerequisite: ECE 521

Typically offered in Spring only

This course is offered alternate even years

Materials and device-related electronic properties of semiconductors. Included topics: energy band structure, electrical and thermal transport phenomena, scattering processes, localized energy states, equilibrium and non-equilibrium semiconductor statistics.

Prerequisite: ·¡°ä·¡Ìý530

Typically offered in Spring only

Materials and device-related properties of compound optical semiconductors. Included topics: band structure, heterojunctions and quantum wells, optical constants, waveguides and optical cavities, absorption and emission processes in semiconductors, photodetectors, light emitting diodes, semiconductor lasers.

Prerequisite: ·¡°ä·¡Ìý530

Typically offered in Spring only

Basic physical phenomena responsible for operation of solids-state devices. Examination and utilization of semiconductor transport equations to explain principles of device operation. Various solid-state electronics devices studied in detail.

Prerequisite: ·¡°ä·¡Ìý530

Typically offered in Spring only

Development of advanced engineering concepts at the quantum level relevant to nanoscience, nanoelectronics, and quantum photonics. Topics include tunneling phenomena, specifics of time dependent and time independent perturbation methodology for addressing applications under consideration, including the WKB approach, and an introduction to second quantization for engineers. Applications include, but are not limited to, tunneling in a two-level system, molecular rotation through excitation, field emission, van der Waal interactions, optical absorption in quantum wells, and electron transport through model molecules.

Prerequisite: ·¡°ä·¡Ìý530, and ±Ê³ÛÌý401

Typically offered in Spring only

Advanced topics in dynamical systems and multivariable control. Current research and recent developments in the field.

Prerequisite: ·¡°ä·¡Ìý516

Typically offered in Fall only

Dynamic behavior of AC electric machines and drive systems; theory of field orientation and vector control for high performance induction and synchronous machines; permanent magnet and reluctance machines and their control; principles of voltage source and current source inverters, and voltage and current regulation methods.

Prerequisite: ·¡°ä·¡Ìý453 or ·¡°ä·¡Ìý592

Typically offered in Fall only

In-depth study of digital circuits at the transistor level. Topics include fundamentals; high speed circuit design; low-power design; RAM; digital transceivers; clock distribution; clock and data recovery; circuits based on emergining devices. Project.

Prerequisite: ·¡°ä·¡Ìý546

Typically offered in Fall only

The area of Power Management Integrated Circuits is important for electrical engineers that design basic power converters and circuits for efficient management of energy in battery powered systems or other power electronic systems. The course has fundamental implications for both research and industry applications. It is necessary to the understanding of power converters losses and optimization methods, as well as modeling and control of power converters and integrated circuit design on how to implement various power management chips. Students will learn extensive hands-on integrated circuit design each week. The class ends with a detailed full design of a modern power management IC done in small student groups.

Prerequisite: ·¡°ä·¡Ìý511

Typically offered in Fall only

This course provides students with an in-depth knowledge of power devices built from wide bandgap semiconductors: the design of high breakdown voltages, the physics of unique power rectifier structures suitable for SiC material, the operating principles for unique SiC power MOSFETs, and GaN HEMT devices, the development of bipolar power devices from SiC to achieve ultra-high voltage performance and the performance of wide bandgap semiconductor power devices as compared to advanced silicon devices.

Prerequisite: ·¡°ä·¡Ìý553 or equivalent

Typically offered in Spring only

Principles of FACTS (flexible AC transmission systems) and their applications. Power transmission on an AC system. Power system models for steady-state and dynamic analysis. Power system transient analysis for stability assessment. Voltage phenomena and methods for assessment.

Prerequisite: ·¡°ä·¡Ìý451 and ECE 750

Typically offered in Spring only

The High-Frequency Power Converters course covers the analysis, modeling, design, and control of high-frequency (HF) power rectifiers, resonant inverters, and DC-DC converters. Specific topics are (1) overview of advantages and challenges in designing and operating HF converters, including conduction and switching loss modeling, hard- and soft-switching concepts, and switches selection; (2) modeling, analysis, and design of Class D and E voltage- and current-driven rectifiers, inverters and matching networks; (3) HF converters consisting of a cascaded connection of resonant inverters and rectifiers; (4) LLC converter analysis and design; (5) HF converters modeling and control using the Extended Describing Function modeling method, demonstrated on the example of a phase- and frequency-controlled LLC and Series Resonant Converters (SRC), and (6) topology and operation principles of HF Dual-Active-Bridge DC-DC converters. The course includes laboratory exercises where students design, assemble, and test an SRC and program its controller.

Prerequisite: ·¡°ä·¡Ìý534 (Power Electronics) or an equivalent course

Typically offered in Spring only

An integrated circuit laboratory to serve as a companion to ·¡°ä·¡Ìý538. Hands-on experience in semiconductor fabrication laboratory. Topics include: techniques used to fabricate and electrically test discrete semiconductor devices, the effects of process variations on measurable parameters.

Prerequisite: ·¡°ä·¡Ìý538

Typically offered in Spring only

The course aims to provide students with hands-on experience designing, fabricating and electrically testing wide bandgap semiconductor devices. The theory that is taught in class will be supplemented by practical experiences, including hands-on microfabrication in the NNF cleanroom.

Prerequisite: ·¡°ä·¡Ìý404 and ·¡°ä·¡Ìý442 or ·¡°ä·¡Ìý538

Typically offered in Spring only

This course covers the verification process used in validating the functional correctness in today's complex ASICs (application specific integrated circuits). Topics include the fundamentals of simulation based functional verification, stimulus generation, results checking, coverage, debug, and formal verification. Provides the students with real world verification problems to allow them to apply what they learn.

Prerequisite: ·¡°ä·¡Ìý564

Typically offered in Spring only

The Universal Verification Methodology is the industry standard for functional verification of today's complex ASICs and FPGAs. Students will learn the content and use of UVM to architect and implement complex test benches. The characteristics and architecture of reusable verification components is a major focus of the course. Students will learn and implement verification components which are reusable across projects, from block level simulation to chip level simulation, and from simulation to emulation. The course projects teach and demonstrate advanced verification methodologies that prepare students for careers in functional verification of digital semiconductors.

Prerequisite: ·¡°ä·¡Ìý745 or equivalent

Typically offered in Fall only

Methods of detection and estimation theory as applied to communications, speech and image processing. Statistical description of signals and representation in time, spatial and frequency domains; Baysian methods, including Wiener, Kalman and MAP filters; performance measures; applications to both continuous and discrete systems.

Prerequisite: ·¡°ä·¡Ìý514, ECE 421

Typically offered in Spring only

An overview of Shannon's theory of information, which establishes fundamental limits on the performance of data compression and quantization algorithms, communication systems, and detection and estimation algorithms. Topics include information measures and their properties, information source models, lossless data compression, channel coding and capacity, information theory and statistics, and rate-distortion theory. Applications of information theory will also be discussed, including Lempel-Ziv data compression, vector quantization, error-correcting codes, satellite communications and high-speed modems.

Prerequisite: ·¡°ä·¡Ìý514: Random Processes

This course is designed to introduce computational methods used for power grid operation and planning. The course will help students understand the various computational methods that form the basis of major commercial software packages used by grid analysts and operators. Students are expected to have some basic understanding of principles of power system analysis including power system models, power flow calculation, economic dispatch, reliable and stability analysis. The course covers the following computational methods commonly used in power grid operation and planning: Locational Marginal Pricing Schemes, Game Theory, Unconstrained Optimization, Linear Programming, Non-linear Constrained Optimization, and Forecasting Methods.

Prerequisite: ·¡°ä·¡Ìý451 or ·¡°ä·¡Ìý550

Typically offered in Spring only

Advanced robotics at its highest level of abstraction; the level of synthesizing human reasoning and behavior. Advanced tobotics deals with the intelligent connection of perception to action. At this level the subject requires knowledge of sensing(computer vision, tactile, sonar), and reasoning (artifical intelligence: machine learning, planning, world modeling). The advanced robotics course will be valuable for students who wish to work in the area.

Prerequisite: ·¡°ä·¡Ìý555; ²Ñ´¡·¡Ìý544

Typically offered in Fall only

A project-oriented course focusin on the design, analysis, and implementation of advanced mechatronics technologies, including large-scale distributed sensors, distributed-actuators, and distributed-controllers connected via communication networks.Will use unmanned vehicles as the project platform, with applications from sensors, actuators, network-based controllers, cameras, and microcontrollers. ·¡°ä·¡Ìý516 is recommended.

Prerequisite: ·¡°ä·¡Ìý456 or ·¡°ä·¡Ìý556 with a Grade B+ and above

Typically offered in Spring only

Image pattern recognition techniques and computer-based methods for scene analysis, including discriminate functions, fixture extraction, classification strategies, clustering and discriminant analysis. Coverage of applications and current research results.

Prerequisite: ECE(CSC) 514, ³§°ÕÌý371, B average in ECE and MA

Typically offered in Spring only

An advanced graduate-level course in digital communications. Topics include signal design, equalization methods and synchronization techniques for realistic communication channels. Projects concentrate on literature review and computer simulations.

Prerequisite: ·¡°ä·¡Ìý515 or equivalent

Typically offered in Fall only

Analysis of images by computers. Specific attention given to analysis of the geometric features of objects in images, such as region size, connectedness and topology. Topics include: segmentation, template matching, motion analysis, boundary detection, region growing, shape representation, 3-D object recognition including graph matching.

Prerequisite: ·¡°ä·¡Ìý558 and ·¡°ä·¡Ìý514

Typically offered in Spring only

Techniques for machine learning using probabilistic graphical models. Emphasis on Bayesian and Markov networks with applications to signal processing and computer vision.

Prerequisites: Programming experience (MATLAB, C++ or other object oriented language such as Python), linear algebra (²Ñ´¡Ìý405 or equivalent), and probability (·¡°ä·¡Ìý514, equivalent or instructor permission)

Typically offered in Fall only

This course deals with the signal processing principles underlying recent advances in communications and networking. Topics include: smart-antenna and multi-input multi-output (MIMO) techniques; multiuser communication techniques (multiple access, power control, multiuser detection, and interference managment); signal processing in current and emerging network applications such as cognitive radio and social networks. Knowledge of linear alegbra and stochastic analysis is required.

Prerequisite: Graduate standing

Typically offered in Fall only

This course is offered alternate even years

Cutting-edge concepts and technologies to support internetworking in general and to optimize the performance of the TCP/IP protocol suite in particular. Challenges facing and likely evolution for next generation intenetworking technologies. This course investigates topics that include, but may be not limited to: Internet traffic measurement, characteriztion and modeling, traffic engineering, network-aware applications, quality of service, peer-to-peer systems, content-distribution networks, sensor networks, reliable multicast, and congestion control.

Prerequisite: CSC/·¡°ä·¡Ìý573

Typically offered in Spring only

A study of network security policies, models, and mechanisms. Topics include: network security models; review of cryptographic techniques; internet key management protocols; electronic payments protocols and systems; intrusion detection and correlation; broadcast authentication; group key management; security in mobile ad-hoc networks; security in sensor networks.

Prerequisite: CSC/·¡°ä·¡Ìý570, CSC/·¡°ä·¡Ìý574

Typically offered in Spring only

In this lab-based course, we explore the fundamental issues that arise in the design and management of routed computer networks (in particular, wide area enterprise networks and datacenter networks). We outline available methods and tools for operating and managing such networks. We provide the students with practical experience on available tools in the network design and management space. A series of lab demos and exercises are used for that purpose.

Prerequisite: ECE/CSC577

Typically offered in Spring only

In depth study of topics in computer design; advantages and disadvantages of various designs and design methodologies; technology shifts, trends, and constraints; hardware/software tradeoffs and co-design methodologies.

Prerequisite: ECE 520, ECE 521

Typically offered in Spring only

In-depth study of processor architectures to exploit data-level parallelism, including general computation on graphics processing units (GPGPU, aka GPU computing architecture) and vector processors; memory subsystems; advantages and disadvantages of various architectures; technology shifts, trends, and constraints.

P: ·¡°ä·¡Ìý463/563 and CSC/·¡°ä·¡Ìý506

Typically offered in Spring only

This course provides an in-depth investigation into security issues in areas including cellular air interfaces, core networking (SS7, IMS), cellular data networking, mobile device architectures, and classic telephone networks. In particular, we will study how these networks provide (or fail to provide) high confidentiality, integrity, availability, authentication, and privacy. A key focus of the course will be how the design philosophy of telephone networks differs from the Internet, complicating traditional security solutions.

Prerequisite: °ä³§°äÌý401 or °ä³§°äÌý405 or °ä³§°äÌý474 or °ä³§°äÌý537 or °ä³§°äÌý570 or °ä³§°äÌý573 or °ä³§°äÌý574 or equivalent

Typically offered in Fall only

Two-semester sequence to develop new courses and to allow qualified students to explore areas of special interest.

Prerequisite: B average in technical subjects

Typically offered in Fall and Spring

Two-semester sequence to develop new courses and to allow qualified students to explore areas of special interest.

Prerequisite: B average in technical subjects

Typically offered in Fall and Spring

Typically offered in Fall and Spring

Typically offered in Fall and Spring

Provision of opportunity for individual students to explore topics of special interest under direction of a member of faculty.

Prerequisite: B average in technical subjects

Typically offered in Fall and Spring

The study of advanced topics of special interest to individual students under direction of faculty members.

Prerequisite: Graduate standing

Typically offered in Fall, Spring, and Summer

This course is for long-term projects supervised by ECE faculty for students to explore cutting-edge research in ECE.

Prerequisite: Graduate Standing

Typically offered in Fall, Spring, and Summer

Teaching experience under the mentorship of faculty who assist the student in planning for the teaching assignment, observe and provide feedback to the student during the teaching assignment, and evaluate the student upon completion of the assignment.

Prerequisite: Doctoral student

Typically offered in Fall only

For students who are preparing for and taking writte and/or oral preliminary exams.

Prerequisite: Doctoral student

Typically offered in Fall only

Instruction in research and research under the mentorship of a member of the Graduate Faculty.

Prerequisite: Doctoral student

Typically offered in Fall only

Dissertation research.

Prerequisite: Doctoral student

Typically offered in Fall, Spring, and Summer

For graduate students whose programs of work specify no formal course work during a summer session and who will be devoting full time to thesis research.

Prerequisite: Doctoral student

Typically offered in Summer only

For students who have completed all credit hour, full-time enrollment, preliminary examination, and residency requirements for the doctoral degree, and are writing and defending their dissertations.

Prerequisite: Doctoral student

Typically offered in Fall and Spring