Prerequisites: consent Our degrees all include an optional placement year in industry taken after the second year of study. Students learn the underlying mechanics and implementation specifics of Python and how to effectively utilize the many built-in data structures and algorithms. Topics will review kinematics, dynamics, low-level control and motion planning, and machine learning approaches. The Electrical & Computer Engineering Department at Portland State University currently has two areas focused on electric power: The Power Engineering Group and the Laboratory for Magnetomechanical Energy Conversion & Control. Integrated circuit analysis and design for medical devices. in Electronic Devices and Materials/Applied Physics (2). vs. discriminant methods for pattern classification. Prerequisites: ECE 65 and PHYS 2D or PHYS 4D and 4E. Topics in Electrical and Computer Engineering with Laboratory (4). Linear Control System Theory (4). Linearization of device models and small-signal equivalent circuits. A large-scale design project. vocoders, sinusoidal transform coding, multiband coding, medium Waves, distributed circuits, and scattering Topics will include two terminal devices, bipolar and field-effect transistors, and large and small signal analysis of diode and transistor circuits. You can transfer up to 6 credits of graduate courses not previously used toward another degree toward the MSECE, provide that you earn a B or better in the courses and subject to approval by the Purdue University School of Electrical and Computer Engineering. Prerequisites: ECE 230A; graduate standing. Foundations of deep learning. preparation: ECE 240A-B. ECE 283. Prerequisites: ECE ECE 273. Recommended preparation: ECE 155. various sources. ECE 285. The course requires implementing some of the computational techniques in simulation software. Principles of Wireless Networks (4). Online Electrical Engineering Courses And Certifications The field is broad, and so are the offerings. Introduction to Autonomous Vehicles (4). Cross-listed with BENG 280A. ECE 155. ECE 209. Class discussion, participation, and presentations of projects and special topics assignments are emphasized. Circuits for alternative logic styles and clocking schemes. Recommended preparation: previous exposure to stochastic processes and Robot Reinforcement Learning (4). (P/NP grades only.) Prerequisites: BENG 1 or CENG 4 or CSE 11 or CSE 8B or ECE 5 or MAE 3 or NANO 4 or SE 1. ECE 253. Emphasizes the use of object-oriented techniques to model and reason about system design, and using modern C++ idioms, design patterns, and the Standard Template Library (STL) to develop solutions to systems engineering challenges that are more reliable, robust, scalable, and secure. This course … Applications to acoustics, geophysics, and electromagnetics. Login, ECE Spring/Summer Research Internship Program 2021, Engineering Psychiatry Research Program 2021, ECE Course Enrollment Policies & Procedures, Graduate Student Affairs Office Contact Page, ECE Official Course Descriptions (UCSD Catalog), ECE Course Pre-Authorization Request ("Clear Me") Form. polarization, fields in metallic and dielectric waveguides ECE 184. Topics of special interest in electrical and computer engineering. Master of Applied Science (MASc) This is a thesis/research based Master's program. Prerequisites: ECE 128B. The thermodynamics and statistical mechanics of solids. Prerequisites: ECE 135B. Feedforward, convolutional, and recurrent networks. Open to properly qualified graduate students Prerequisites: ECE 16 or consent of instructor. ECE 25. the faculty members involved in the research projects. of DSP. Prerequisites: upper-division standing. Prerequisites: ECE The combination of statistics and algorithms produces statistical learning methods that automate the analysis of complex data. Nanometer-Scale VLSI Devices (4). . Introduction to subthreshold conduction in MOS transistor and its similarities to biomolecular transport. Elements of Machine Intelligence: Probabilistic Reasoning and Graphical Models (4). The physics of near-ballistic transport in an ultimately scaled 10 nm MOSFET will be discussed in light of the recently developed scattering theory. You can start from the beginning with an introduction to basic engineering principles in areas such as electrical, mechanical, and biomedical engineering from the University of Texas at Arlington. Entrepreneurship for Engineers (4). 222A; graduate standing. This program expands your engineering knowledge, adding advanced-level software skills to your resume. This course provides the theoretical background to image and video compression. Subject matter will not be repeated, may be taken for credit more than once. The class will focus on implementations for physical problems. Recommended preparation: ECE 154A-B-C. Prerequisites: ECE 259A; graduate standing. Consent of instructor is required. ECE 136L. of all of the breadth courses and one depth course. Modules Year 1 This course provides an introduction to statistical learning and assumes familiarity with key statistical methods. Dipoles, monopoles, paraboloids, phased arrays. Engineering Probability and Statistics (4). Physics of solid-state electronic devices, including p-n diodes, Schottky diodes, field-effect transistors, bipolar transistors, pnpn structures. SiGe and III-V HBTs, III-V FETs, and current research areas are covered. Prerequisites: ECE 154A with a grade of C+ or better. Teaching and tutorial activities associated with courses and seminars. Class discusses both fundamental and state-of-the-art research topics in computational statistics and machine learning. Prerequisites: senior or graduate level standing. All students give weekly progress reports on tasks and write final report, with individual exams and presentations. Presents the problems encountered by operators and the enabling solutions to remedy them. Solid State Diffusion and Reaction Kinetics (4). Students may not receive credit for single-input/single-output linear time-invariant control systems the control problem for both discrete-time and continuous-time linear systems. plane waves in free space and in the presence of interfaces, the present best estimate of the schedule of classes for the entire academic year. You can find space for an electrical … ELECTRICAL ENGINEERING CATALOG. Engineering Design Project (4). Dielectric Example course topics: Coded-modulation for bandwidth-efficient data transmission; advanced algebraic and combinatorial coding theory; space-time coding for wireless communications; constrained coding for digital recording. digital filters. State-of-the-Art Topics in Computational Statistics and Machine Learning (4). (chosen by instructor). The course introduces key modules for data analysis such as Numpy, Pandas, and Matplotlib. Prerequisites: consent of instructor. Prerequisites: graduate standing. Radio frequency integrated circuits: low-noise amplifiers, AGCs, mixers, filters, voltage-controlled oscillators. Johns Hopkins team launches temperature-tracking study and app to map and monitor potential COVID-19 cases . Undergraduate students must take a final exam; graduate students must write a term paper or complete a final project. (Course materials and/or program fees may apply.) Prerequisites: graduate standing. This course develops the concept of universal probability that can be used as a proxy for the unknown distribution of data and provides a unified framework for several data science problems, including compression, portfolio selection, prediction, and classification. Recommended preparation: ECE 109. Vibrations and waves in strings and bars of electromechanical Communication Circuit Design II (4). 171A with a grade of C– or better. Program or materials fees may apply. Introduction to noise and linearity concepts. Special Topics learning. Though students interested in electrical engineering tend to focus on power systems, signal processing and telecommunications and computer engineering students focus on the design of software, computer chips, sensors and robotic systems, the two areas are well integrated in the electrical and computer engineering degree program. Adaptive filter theory, estimation errors ECE 229. ECE 102. Prerequisites: ECE 276A; graduate standing. emphasizes the fundamental and current issues of semiconductor physics Naval Officers. Students may not receive credit for ECE 148 and MAE 148. tomography, nuclear medicine imaging, nuclear magnetic resonance imaging, Off course! ECE 188. Prerequisites: ECE Introduction to Active Circuit Design (4). Nonlinear active circuits design. grades only.) Prerequisites: ECE Recommended preparation: ECE 153 or ECE 250, ECE 161A or ECE 251C, ECE 269 or equivalent, and SIO 207A or equivalent. Prerequisites: ECE 102. This course will build mathematical foundations of linear algebraic techniques and justify their use in signal processing, communication, and machine learning. Conventional and adaptive beamforming. Prerequisites: ECE 125A. Power Grid Resiliency to Adverse Effects (4). Integrated photonic devices and components made using silicon, compound semiconductors, thin-film crystals, and dielectric materials. Integrated CMOS analog/digital systems: Analog This course covers some convex optimization Topics include nanosensors and nanodevices for both clinical diagnostics and biowarfare (bioterror) agent detection; nanostructures for drug delivery; nanoarrays and nanodevices; use of nanoanalytical devices and systems; methods and techniques for modification or functionalization of nanoparticles and nanostructures with biological molecules; nanostructural aspects of fuel cells and biofuel cells; potential use of DNA and other biomolecules for computing and ultra-high-density data storage. Linear Time Invariant Systems. Students learn to create statistical models and use computation and simulations to develop insight and deliver value to the end-user. The Art of Product Engineering I (4). Topics vary based upon current research and have included nonparametric Bayesian models; sampling methods for inference in graphical models; Markov Chain Monte Carlo (MCMC) methods. ECE 163 recommended. Recommended Principles of electro-mechanical energy conversion, balanced three-phase systems, fundamental concepts of magnetic circuits, single-phase transformers, and the steady-state performance of DC and induction machines. lens analysis: taper, spillover, aperture and physical optics methods. Copyright © 2020 Groups of students work to design, build, Prerequisites: ECE 140A. May be taken for credit two times. Topics cover parallel CUDA programming on GPU including efficient memory access, threading models, multi-stream, and multi-GPU programming. Prerequisites: ECE 101 and 102 with grades of C– or better. Weekly discussion of current research conducted and video compression and processing. This course will introduce basic concepts All courses, faculty listings, and curricular and degree requirements described herein are subject to change or deletion without notice. Discrete random signals; conventional (FFT based) spectral estimation. Uses actual case histories, and real examples of best in-class approaches from across the nation and the globe. The final project consists of either a new project designed by the student team or extension of an existing project. (S/U grades only.) Network/Graph Algorithms and Analysis (4). Provides a solid foundation to renewable energy resources such as hydroelectric, solar, wind, geothermal, wave, and tidal. Building on a solid foundation of electrical and computer engineer skills, this course strives to broaden student skills in software, full-stack engineering, and concrete understanding of methods related to the realistic development of a commercial product. Complete course offerings (including descriptions, prerequisites, etc.) instruments. Recommended preparation: ECE 182 or equivalent. Students begin taking electrical and computer engineering courses during their first year. Computer Systems Engineering BEng/MEng. Characteristics of chemical, biological, seismic, and other physical sensors; signal processing techniques supporting distributed detection of salient events; wireless communication and networking protocols supporting formation of robust sensor fabrics; current experience with low power, low cost sensor deployments. Topics include dynamic programming, continuous time Markov models, hidden Markov models, statistical inference of phylogenies, sequence alignment, uncertainty (e.g., bootstrapping), and heterogeneity (e.g., phylogenetic mixture models). Modern Communication Networks (4). Cross-listed with MAE 149 and SIO 238. for more information. Students are able to learn and acquire comprehensive knowledge of computer science from computer hardware and software to design of practical information processing systems. Electromagnetics of circuits. (Course materials and/or program fees may Applied Electromagnetic Theory—Computational Methods for Electromagnetics (4). algorithms. Introduction to Power Electronics I (4). Prerequisites: graduate standing. Structure and operation of bipolar junction transistors, junction field-effect transistors, metal-oxide-semiconductor diodes and transistors. It provides the fundamentals for advanced courses and engineering practice on electric power systems, smart grid, and electricity economics. 252A; graduate standing. Prerequisites: graduate standing. Laser, modulators, and photodetector devices will be discussed. Prerequisites: ECE 166 or consent of instructor; graduate standing. Recommended preparation: ECE 107 and ECE 182 or equivalent, introductory quantum mechanics or ECE 183. information theory/statistical physics models of information flow. interference, stochastic dependencies. Prerequisites: consent of instructor. Introduction to and rigorous treatment of electronic, photonic, magnetic, and mechanical properties of materials at the nanoscale. of the instructors who will teach the course, please refer to the quarterly Schedule Hazard elimination, synchronous/asynchronous FSM synthesis, synchronization and arbitration, pipelining and timing issues. 2C–D with grades of C– or better. The Art of Product Engineering II (4). ECE 295. Engineering Hands-on Group Project (4). This course covers the growth, characterization, and heterojunction properties of III-V compound semiconductors and group-IV heterostructures for the subsequent courses on electronic and photonic device applications. Consider an affordable, flexible undergraduate or graduate degree in computer and electrical engineering from the University of Arizona, and get set to advance emerging technologies that make a difference for people all over the world. 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