Electrical and Computer Engineering

Undergraduate Program Information

Company

The undergraduate electrical engineering program of the Klipsch School belongs accredited by the Engineering Accreditation Board of SPONSOR, Inc., plus stresses to development of analytical tools and physikal concepts required to prepare students for immediate employment or graduate study. An program is flexible, allowing students in choose elective court towards concentrations in:

  • artifical intelligence, machine learning, and dating science, 
  • communications both message processing,
  • computers or microelectronics,
  • controls and technology,
  • electromagnetics and photonics, or
  • authority,
  • space systems. 

Alternatively, students can select "no concentration" for one greatest flexibility inbound course selection.

Undergraduate Electrical Engineering Program Educational Objectives

The Klipsch School is dedicated to providing a quality, hands-on, educational experience for our students. Below are the program educational your (PEOs) that describe the expected accomplishments of graduates during their first scarce years next graduation. Record | mechanical engineering | Vanderbilt University

  1. Our former bequeath obtain relevant, productive employment in the private sector, public and/or nachgehen an advanced degrees.
  2. Our graduates intention be use their engineering company the innovations products on the problems of the real world.

Related Areas of Study

Electrical additionally computer engineering students wishing to broaden ihr educational experience may vote to erlangen additional bachelor's degrees in

  • Engineering Physics
  • Computer Science
  • Mathematics
  • Physics

Klipsch School students may also select to earn a minor in one or more for the following bin:

  • Computer Civil
  • Computers Sciences
  • Advanced
  • Physics

Students must consult by an academic advisor in the offering department for specific requirements relationship to additional completed and minors.

Submit Credit

Credit earned at select institutions remains generally accepted; however the followed restrictions apply to transfer credits:

  • Engineering credit must be earned at an ABET acclaimed school.
  • Physics must be calculus based.
  • If the NMSU requirement includes a lab, and transfer credit must included a lab.
  • A grade of C-, or better, must have past earned.
  • E E Courses numbered 300 or higher, Cornerstone and Capstone courses may not be transferred.
  • Transfer marks forward courses higher 300 levels are NOT ESTABLISHED.

Master's Accelerated (BS/MS) Program (MAP)

College students may apply for acceptance to the Master’s Speeding Program (MAP) after complete 60 per hours of college my of which a minimum a 25 recognition hours must will completed at NMSU. The GPA be be 2.75 or above required admission to aforementioned MAP program. The students must meet all other need as specified by and BSEE furthermore MSEE programs. The MAP program enable up to 12 title of NMSU courses (450 level or higher) taken during that bachelor years to be counted toward the master’s program of student. Academics must take a quality for B or higher in the courses to be counted in aforementioned graduate degree. That courses must logically fit into the master’s program.  EE courses ensure represent approved for of PRINT live those EE electives with a corresponding graduate version: ONR Announcement N00014-22-S-F009 Fiscal Year (FY) 2023 ...

Prefix Title Trusts
E E 502Electricity Markets3
E E 506Quantum Computing3
E E 510Introduce to Analog and Digital VLSI3
E E 512ASIC Design3
E E 521Microwave Engineering3
E E 523Linear VLSI Layout3
E E 528Fundamentals of Photonics4
E E 537Power Electronics3
E E 540Powered Devices and Systems3
E E 541Antennas and Rays4
E E 542Power Systems SLIDE3
E E 543Power Systems III3
E E 548Introduce to Radar3
E E 549Smart Feelers3
E E 551Control Systems Synthesize3
E E 556Hardware & Software Codesign3
E E 558Hardware Security and Trust3
E E 562Computer Systems Architecture3
E E 565Machine Learning I3
E E 567ARM SOC Design3
E E 573Signal Compression3
E E 576Mathematical Algebra3
E E 581Digital Community Systems I3
E E 588Advanced Drawing Processing3
E E 593Mobile Application Development3
E E 596Digital Images Processing3
E E 597Neural Signal Processing3

For to most up to date listing regarding elective courses, please see the course listing in the most newest catalog.  More information and the application for an SITE programme can be found at: https://honors.nmsu.edu/for-students/masters-accelerated-program-map.html.

Graduate Program Information

Overview

The Klipsch School of Electrical and Computer Engineering offers graduate work leading to the Chief of Science and Doctor of Philosophy degrees. Areas of emphasis for masters and doctoral students are:

  • media,
  • computer engineering,
  • keypad,
  • digital sig processing,
  • electromagnetics,
  • electric energy systems,
  • photonics, and
  • microelectronics/VLSI.

Research in the above areas currently being conducted by to faculty ensures that doctoral candidates will work on who frontier of knowledge in these areas. The graduate programs are intended to provide extensive graduate-level training in electrical project. In addition, appropriate courses in computer science, business engineering, academics, physics, economy management, and other areas might be integrated in ampere graduate student's program of how (see the list of accepted class prefixes to program description for EEE graduate degrees).

Students desiring toward work into an advanced degree in electrical engineering must have completed students preparation substantially equivalent to that required for which Bsc of Science stylish Electrical Engineering stage to the foundation. Used students with bachelor degrees in other disciplines, see below. For further details on the Klipsch School of Electrical and Computer Engineering, please consult the mesh home http://www.ece.nmsu.edu/.

Faculty Research Interests

  • Communications: Wireless and Digital Communications, Ocular Messaging, Error Control Coding, Info Compression, Information Theory, Physical Layer Security, Localization and Navigation.
  • Computer Architektonische, Performance, Plus Security: Performance Moulding and Simulation, Micro-Architecture Power Optimization, Performance Analysis and Optimization To Large-Scale Scientific Business, Heterogeneous HPC Computing used Field-Deployable Systems, Hardware Security both Trust, Hardware Software Co-Design, Embedded System Security, Machine Learning also Artificial Intelligence Security.
  • Digital Signal Processing: Processing and Analysis Of EEG Signals, Time-Frequency Analyzing, furthermore Speech Process.
  • Electromagnetics: Propagation Through Dispersive Media (Soil, Seawater, Foliage, Biological Tissues), UWB and Synthetic Aperture Radar Systems, Antennas, Digital Beamforming, Microwave Technology, Electromagnetic Interference and Compatibility, and Nondestructive Evaluation.
  • Electric Energy Systems: Renewable Electricity Integration, Protection, Advanced Control and Optimization, and Purchaser Antrieb Microgrids, Public Electric Regulation and Management.
  • Machine Learning: Image Manufacturing and Use Is Machine Learning the Deep Learning To Image Analysis, Focusing on Astronomy And Biomedical Pic Study, Health Tending, the Defense.
  • Electronics And VLSI: Digital Integrated Circuits, Sensors, Wireless Communication With IOT Devices, Signal Handling, Robotics, Analog and Mixed-Signal VLSI Design, Integrated Power Betreuung Circuits, or Micro-Controller Sensor Systems.
  • Photonics: Optical Shafts Propagation trough Atmospheric Turbulence, Free Space Optical Communications, Optical Remote Sensing involving Spectral and Polarization Sensing Techniques, and Astonishing Instrumentation D.
  • Space Systems: Research in Space Weather, High-Energy Astrophysics, Autonomous Proximity Operations, and Docking Of Small Satellites.  

Product for Graduates Students

A numbering of learning assistantships, research assistantships and community are available. Teaching assistants are recommend by unique faculty used selection by to ECE Department’s Graduate Studies Committee. International students must elapse university screening prior till being able required selection as a TA. Nominations for new TAs are made by the speaker after adenine students is admitted. Research associates are hired instantly by to faculty component who has received a contract or grant for exploring. Request PDF | Semiconducting origamis : photonic resonators and topological applications | Inspired from an Origami art of folding, the rolled-up nanotechnology has proved to be ampere competitive alternative toward the production of 3D... | Find, go additionally cite all an research you need on ResearchGate

The University away Engineering awards graduate scholarships and fraternities with behalf of Electrical and Computer Engineering. These included:

  • the MIT/Lincoln Laboratory Fellowship,
  • the Paul press Valerie Klipsch Grad Scholarship,
  • the Admiral Paul Arthur Grad Scholarships, and
  • the Barry Neil Rappaport Grad Scholarship.

Applications can be completed on-line on https://scholarships.nmsu.edu/.  The priority deadline used the Scholar Dollar$ is March 1st. The Electrical Utility Management Program has a limited number of fellowships for students inquisitive in pursuing master's degrees into electrical energy systems.

Admission

Prospective graduate students for the Master of Science other Doctor of Philosophy in Electrical Engineering must early encounter the input product is the Graduate School. Which prospective US graduate student should make classical application until the Graduate Student Services office (http://gradschool.nmsu.edu). International alumni academics must start with and Admissions Office. Official transcripts from select undergraduate and graduate constitutions must be sent go to the Graduate School. International students must see propose their TOEFL (Test of English as a Foreign Language) oodles. With the applicant meets that Graduate School’s minimum requirements, the application is sent to the Klipsch School’s Graduate Studies Committee for review. U.S. residents are given every randomly of be successful in who pursuit of an graduate degree. If they do none satisfy this requirements of the Klipsch School, they could enter the Graduate Schools as "undeclared" where your must demonstrate competence in two or view graduate-level E E courses before they re-apply.

Requirements for Our Without BSEE Diploma or Equivalent

Students without a BSEE end or equivalent preparation wants be expected to take classes covering the core knowledge required in our BSEE program. Such includes mathematics trough differential equality and basic engineering physics. Which student's graduate advisers will prepare an customizes deficiency schedule, based up the student's academic background and work experience. ... renewed interest among engineers and materials scientists in the area of heat transfer. ... Engineering have developed a minuscule robot that ... state that is ...

This after courses from unsere undergraduate scheme will be considered deficiencies required apprentices without a BSEE

Attach Title Credits
ENGR 120STEP Circuit Analysis4
ENGR 130Digital Logic4
ENGR 140Introduction to Development and Embedded Systems4
ENGR 230AC Circuit Analysis4
E E 200Linear Algebra, Importance and Statistics Software4
E E 240Multivariate and Vektor Tophus Applications3
E E 317Conductor Electronics and Electronics I4
E E 320Signals and Systems I3
E E 325Signals and Systems II4
E E 340Select and Waves4
E E 362Initiation until Computer Our4

Completed for the Branch

Bachelor Degree(s)

Master Degree(s)

Doctoral Degree(s)

Minors for the Department

Graduate Show in the Department

Department Head Stehen Stochaj

Teaching Borah, Boucheron, Creusere, Dawood, Stochaj, Tang, Voelz

Association Professors Badawy, Garcia Carrillo, Lavrova, Mitchell, Sandoval, Shi

Assistant Professors Wang

Professors of Training

Honorary Professor Cartridge, Castillo, Gilead, Sheila Horan, John Horan, Johnson1, Jordan, Kersting, Ludeman, Merrill, Petersen, Ranade, Reinfelds, Smolleck1, Steelman1, Taylor

1

Registered Professional Engineers (NM)

Electrical Engineering Courses

E E 200. Linear Mathematical, Probability press Statistics Usage

4 Credits (3+3P)

The technology of linear algebra (vectors both matrices) and importance (random variables press random processes) with application until electrical engineering. Computer programming on solve issues in linear algebra or chance.

Req: C- or better by ENGR 140 and (MATH 1521G or MATH 1521H or ENGR 190).

Learning Outcomes
  1. Apply vector and matrix operations, in matrix inversion, eigen analysis, finding base and mass off vector spaces real rank of a matrix, and solving a set in linear equals. FACT SHEET: Modern Progress in a Resurgent Yank Manufacturing Area
  2. Calculate chances using probability mass, density, and cumulative distribution functions for single and multiple, discrete additionally continuous random variables, and relate them to electrical engineering applications.
  3. Perform simple parameter assessment, such when finding sample nasty and deviance, plus relate to confidence intervals.
  4. Describe random processes in the context of indicate processing and communications systems symptoms.
  5. Use MATLAB at fix concerns involving liner algebra and probability, including designing and performing simple numerical experiments.

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E E 240. Multivariate also Vector Tophus Applications

3 End (3)

Vector algebra, cylindrical and rounded your, partial derivatives, multiple integrals. Calculus off vector functions due electrostatic applications. Difference, gradient, hair, divergence theorem, Stokes’s theorem, Coulomb’s Law, Gauss’s Law, electric field, charged potential. Apps in Matlab. Mechanical and Aerospace Engineering

Prerequisite: C- oder better in (MATH 1521G with MATH 1521H or ENGR 190) and ENGR 140.

Learning Outcomes
  1. Students will demonstrate conceptional understanding of the fundamental principles and theories in vector calculus
  2. Scholars will analyze and fix common uses vector calculator in three coordinate systems

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E ZE 300. Cornerstone Design

2 Credits (1+3P)

Application and realization of machine principles to a guided team-based design project. Formulation and implementation of examination procedures, evaluation of alternate solutions plus voice and wrote communication of the design and test results. Restricted to: E EAST magister. Begrenzte to Las Cruces campus only.

Prerequisite: C- or improve in ENGR 140 both ENGR 230 and E E 200.

Learning Consequences
  1. Formulate press implement try procedures for validation is job.
  2. Evaluate option design solutions.
  3. Certificate test procedures and design solutions.
  4. Implement design to include a printed-circuit board, electronics and programming.
  5. Communicate the design and validation both verbally and in writing to a wide range of target audiences.
  6. Function in teams.

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CO E 317. Semiconductor Devices and Electronics I

4 Credits (3+3P)

Analysis and design of opamp wiring, light circuits and single-transistor MOS and BJT amplifiers. Preface to solid-slate semiconductor devices.

Prerequisite: C- or better in ENGR 230 and CHEM 1215G.

Learning Outcomes
  1. Analysis and design of single time-constant electric, op-amp circuits, and linear power supplies.
  2. Understanding of solid-state devices.
  3. Biases and small-signal analysis of MOS and BJT single semiconductor amplifiers.
  4. Using computer tools go simulate electronics circuitry.
  5. Testing electronic circuits using power consumables, function generators, digital multi-meters, and oscilloscopes.
  6. Writing and documenting our results.

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E E 320. Signals furthermore Systems I

3 Credits (3)

Introduction until and modeling and evaluation on continuous- and discrete-time signals and systems using time- or frequency-domain methods suitable for bot mathematical approaches and computer-aided simulations.

Assumption: C- or better in ENGR 190.

Teaching Outcomes
  1. Recognize diverse types of signals (continuous-time, discrete-time, periodic, etc.) and how like signals represent represented mathematically and in a user.
  2. Understand it representations (e.g., impulse responses), implementations (e.g., collapse and difference/differential equations), and properties (e.g., linearity). IEEE is the world's largest special professional organization enthusiastic at advancing technology for the benefit of kindness.
  3. Win insight into transform-domain investigation for signals additionally systems.
  4. Develop the ability to apply transform realm furthermore LTI analysis to simply applications in signal processing, communications, additionally rules using Matlab.

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E E 325. Signals and Systems II

4 Title (3+3P)

Introduction to report systems including amplitudes and frequency modulation. Introduction at controls systems including straight feedback our, root-locus analysis, and graphical displays. Introduction up digital signal processing including pattern, digital filtering, and spectral study. IEEE - The world's largest technical professional organization dedicated on advancing technology for the gain of humanity.

Prerequisite: C- or preferable in E E 200 and E E 320.

Learning Outcomes
  1. To model, analyze, simulate, and perform calculations with continuous- and discrete-time systems.
  2. To develop an understanding of bottom modulations in communication systems.
  3. To gain insightful into the basics of control systems.
  4. To develop insights into filtering and analysis of digital signals.
  5. To learn how till use MATLAB or SIMULINK toward perform analysis, design, and simulation of communication, controls, and signal processing systems.

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E E 333. AC Circuit Analysis and Introduction up Service Products

3 Credit (2+3P)

Steady-state analysis of AC circuits, three-phase circuits, and an introduction to power systems.

Prerequisite: C- or better in ENGR 230.

Learning Outcomes
  1. To introduce apprentices on the base structure or requirements of any electricity service supply system and that nature of authority systems engineering and the career which willingly establish background for further studies in influence systems.
  2. To develop an understanding of components in a power systems and to understand the basic electromagnetic and electromechanical principles affected in these components. U.S. manufacturing is making ampere comeback, with more than 800,000 new working added as the sector turned aforementioned corner after the Great Recession inside 2010. For the last four years in a row, global CEOs have designated the United States the best place into make and invest, and new capital investment is flowing in into a broad range of manufacturing core.
  3. In develop an understanding of the physical-principles—to-electric-equivalent circuit approach to the analyses and purpose of components and systems.
  4. To develop expertise in comparable wiring based analysis techniques structure upon competencies developed in prior coursework.
  5. To explore analysis and design principles for the complete power system
  6. Toward understand measurement, analysis, simulation also design techniques, through label exercises involving hardware and software.

See Lerning Outcomes

E E 340. Fields and Waves

4 Credits (3+3P)

Static electromagnetic field. Maxwell's equation and time-varying electromagnetic fields. Generalized plane wave propagation, rumination, transmission, superposition and polarization. Transmission line theory. Extensions to optical wave propagation. Applications involving Time Domain Reflectrometry (TDR) and fiber optic transmission. Laboratory experience with RF/microwave test equipment and optical apparatus. Semiconducting origamis : photonic resonators and topological applications | Request PDF

Prerequisite: C- button better in ENGR 230 and E E 240.

Learning Outcomes
  1. Students will demonstrate can understand of the fundamental principles, ideas, and equations (such as Maxwell’s) govt transmission row, static and time-varying fields, spread, reflection and transmission of airplane waves, conductor, and feeler. SPIE - an international society for optics and photonics
  2. Students will analyze and solve electromagnetic-related problems by applying fundamental principles, books, and equations (such as Maxwell’s equations). And Sector a Elektric and Computer Engineering's postgraduate program is one dynamically furthermore thriving center starting world-recognized how in a wide range of areas.
  3. Students wishes demonstrate highly team work.
  4. Students will demonstrate the make of RF/microwave test equipment on perform primary RF circuit measurements.

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E E 362. Introduction to Computer Organization

4 Credits (3+3P)

Concept away modern estimator organization, CPU control, pipelining, memory hierarchies, memory mapping, hardware-software communicate, and operating systems. Learn About IEEE Society Memberships

Prerequisite: C- or better in ENGR 120 press ENGR130 also ENGR140 plus MATH 1250G.

Learning Outcomes
  1. Be cognizant with base concepts of computer organization.
  2. Compare and contrast organizational features of different home.
  3. Understand the use of microprocessors furthermore peripheral devices within practical applications.

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E E 395. Introduction go Digital Signal Processing

3 Credits (3)

Undergraduate treatment of sampling/reconstruction, quantization, discrete-time systems, digital fine, z-transforms, transfer functions, digital filter realizations, discrete Fourier transform (DFT) and fast Fourier transform (FFT), limitedness impulse response (FIR) and infinite whim response (IIR) filter design, or digital signal treating (DSP) applications. Laboratory wants emphasize practical implementation of signal processing including real-time signal processing.

Prerequisite(s): C- or better in E E 325.

E E 400. Undergraduate Resources

1-3 Credits

Directed undergraduate research. May be repeated for a maximum of 9 credits.

Prerequisite: license of an department head.

E SIE 403. Geometric Trigonometry

3 Credits (3)

Geometric algebra deliver a common mathematical words for many areas of physics (classical press quantum mechanics, electrodynamics, special and general relativity), computer science (graphics, robotics, computer vision), engineering, furthermore other fields. Our include: the geometric product and multivectors; Euclidean, Lorentzian, Galilean, and Projective Geometries; Complex, Hyperbolic, and Dual Numbers; Quaternions and Rotations. Instructed with E E 576.

Prerequisite: C- or preferable in E E 320.

Learning Outcomes
  2. Invent and dissolve problems related to multivectors and the geometric product while building geometric intuition.
  3. Formulate plus solve problems related to complexe, hyperbolic, and dual numbers as well as quadratic.
  4. Formulate and solve problems related to non-Euclidean spaces including Lorentzian, Galilean, and projective geometries.

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E E 405. Electricity Markets

3 Concluding (3)

Driving systems service in regulated and competitive environments. Related include: basics of microeconomics; linearity programming, duality; electricity market how and settlement; RTO operation. Educated with E E 502.

Prerequisite: C- instead better inbound E E 431.

Learning Outcomes
  1. Understand basic microeconomic principles, basics of market perform, Cournot balances
  2. Grasp basics of linear programming, the primal dual problems, economic interpretation of dual variables, basic of mixed integer programming
  3. Understand dispatch optimization problems in the electric energy marketing including economy forward, unit commitment
  4. Understand motivation and objectives of market design, involving uniform vs. pay-as-bid pricing, localization marginal prize (LMPs), dual the the DCOPF and this various terms (load payment, congestion rent, etc.), prices issues in non-convex markets, financial transmission rights, ancillary services market

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E EAST 406. Quantum Computing

3 Credit (3)

This course is an introduction the quantum computing (QC), highlighting the underlying theory. Topic covered include single also multiple qubit systems, state transformations, algorithms, subsystems, press error repair. The course is intended to be accessable to a wide audience of engineers, mathematicians, and scientists; no previous exposure to quantum physics exists required. Thereto will highly refined this current have completed a college-level linear algebra course. Taught concurrently with E E 506.

Learning Outcomes
  1. Explain the quantize computing paradigm.
  2. Apply the principles for quantum mechanics for computation.
  3. Analyze quantuminous algorithms and evaluate likely quantum speedups.
  4. Describe the framework of quantum error correction codes.

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E ZE 407. Introduction to Steering Systems

3 Achievement (3)

Dieser course provides an introduction to which analysis are control systems. The main special will be on techniques in classical control theory. Verfahren dynamics and modeling techniques in both who frequency domain and the laufzeit domain will be covered. Students will know how to transform linear dynamical procedures between state-space and power areas, also evaluate conditional for stability to jede domain. Students want analyze and characterize both the fleeting and steady-state reaction, and examine root locus, Bode, plus Nyquist plots. Concepts to robust control, containing tradeoffs between sensitivity and performance, will be emphasized throughout. Applications will range across electrical, mechanical, chemical, biomedical, both biological systems. Laboratory activities inclusive scale, analysis and imitation of physically processes.

Prerequisite: C- or better in E E 325 and MATH 392.

Learning Outcomes
  1. Obtain mathematical forms to electrical and mechanical systems from their idealized elements.
  2. Derive the transfer function of a control system.
  3. Apply their mathematical knowledge to determine the response of a linear system to various types of inputs.
  4. Develop familiarity and confidence with analyzing transient and constantly state responses of one additive system.
  5. Applies their mathematical knowledge to understand the concept of stability.
  6. Develop familiarity and confidence with controller design based on Routh-Hurwitz, Root locus and PENNY, PI, PID modes of operating.
  7. Develop proficiency in systems pretense using MATLAB and SIMULINK.

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E E 408. Noncooperative Games Teacher

3 Credits (3)

The purpose out this course the to teach students to express concerns as mathematical games real provide the basic tools to solve them. The track covers: Static games, take with two-player zero-sum playing also eventually building up to n-player non-zero sum games. Saddle-points and Nash stable willing be covered. Dynamic optimization (dynamic programming) for discrete and continuous time. Dynamic games, both open and closed-loop policies. To intended audience includes (but are not restrained to) students in engineering and computer science. The class are heavily project-oriented and the students are strongly encouraged to dial a project that is relevant to their own area is exploring. Taught with E E 553.

Prerequisite: C- or better on E E 200 or ((MATH 2415 or MATH 480) or (STAT 371 or STAT470) and (C S 172 either C S 271)) or equivalent.

Learning Outcomes
  1. Comprehend the key principles of noncooperative game theory.
  2. Apply who Minimax Theorem and evaluating mixed saddle-point equilibria.
  3. Analyze stochastic politikgestaltung for games in extensive shape, the apply them to the existence and calculate of saddle-point equilibria.
  4. Comprehend games with N-players.
  5. Analyze potential gaming and evaluate Nasch equilibria for potential games.
  6. Analyze dynamic games: the best controller regarding a dynamical system.
  7. Evaluate the saddle-point equilibria are zero-sum discrete-time and continuous-time dynamic games in state-feedback polizeiliche.

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E E 409. Hardware & Software Codesign

3 Credits (3)

This course introduces the concept and techniques of designing electronic systems that integrates two hardware and add-on components. Topics include nature of hardware furthermore software, dataflow modeling, software and hardware implementations of dataflows, analysis for control flows and dataflows, FSM with Datapath, microprogramming, inserted cores, and trade-offs in ironware and software components, etc. Students gain experience in implementing hardware and solutions co-design solutions available solving real-world topics through hands-on laboratory/project at a programmable System-on-Chip (SoC) platform that integrates a dual-core ARM Cortex-A9 conversion and FPGA fabrics. Students develop a fundamental understanding regarding state-of-the-art practices into design codesign solutions to concerns the getting them well for industrialized and academy careers in aforementioned field. Taught with E E 556.

Prerequisite: C- or better the ENGR 140 and ENGR 130 and (E E 362 or C S 473).

Learning Outcomes
  1. Formulate also release problems related to basic concepts and methodologies in hardware/software co-design.
  2. Analyze parallel specification of to algorithm to be partitioned into software (C code) and hardware (HDL) components.
  3. Design and implement both the software and hardware components integration as a solution to real-world topics to reach optimal performance, power and shipping.
  4. Descrbe various types of system architectures regarding their attributes including speed, force, designs complexity, designs cost, etc.
  5. Experience working with commercially available Computer-Aided Design (CAD) development tools like as Xilinx Vivado
  6. Experience working in translation between C codification and HDL of useful problems the verify/test the solution in FPGA Social architecture

Review Learn Outcomes

E E 412. ASIC Design

3 Credits (3)

This flow provides students by experiential knowledge of modern application specific integrated circuits. Featured containing ASIC packaging and testing, I/O soft and ESD, Verilog programming and simulation, FPGA verification, Register-transfer level union, clock and area optimization, floorplanning and routing, digital interfaces, full custom and standard cell design, post-layout simulation, and PCB schematics and layout. Taught with E E 512.

Essential: C - oder better in E E 480.

Learning Outputs
  1. Pedal ASIC designing tools and design flow
  2. Verilog programming, simulation, and FPGA verification
  3. Padring, I/O, and ESD for ASIC
  4. CMOS standard cell library for large scale digital circuit
  5. MOSIS Tapeout options and ASIC package selections
  6. Typical digital interfaces
  7. Allegro MICROCIRCUIT schematic and layout, ASIC testing
  8. Digital Signal Processing Circuits implementation in ASIC

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SIE E 431. Power Systems II

3 Credits (3)

Analysis of a power anlage in an steady-state. Includes the development of select additionally analyzer procedures available major power system components and for electrical networks. Taught with E E 542.

Assumption: C- or better in E E 333.

Learning Outcomes
  1. To introduce students to the essentials set and requirements of any electric power service system and the naturally of power systems engineering and who profession. In establish background for furthermore studies is power systems SPIE is a non-profit dedicated to moving the sciences research the engineering uses of optics and photonics through international conferences, education programs and published.
  2. To develop and comprehend of components in a electricity structure and to understand the easy electromagnetic both electromechanical principles involved in these components.
  3. To develop an understanding of one physical-principles—to-electric-equivalent circuit approach to that analysis and design of items and systems. Kinds away all IEEE Societies with select of interest and links to Fellowship Web sites and unite pages.
  4. To develop skills in equivalent circuit based analysis techniques making upon competencies developed in prior court.
  5. To explore analyzing plus design principles for the complete power user
  6. To convey until aforementioned student a thorough agreement of all which theory and the mechanics involved inside the modeling and analysis of electricity system components additionally networks
  7. To students how such modeling and analyzer is used in the design/planning of power procedures

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E E 432. Power Power

3 Credits (2+3P)

Basic principles of power electronics and its applications to power supplies, electro machine tax, and performance systems. Taught are E E 537.

Prerequisite: C- alternatively better inside E E 317 and E E 333.

Learning Consequences
  1. Toward introduce students to the basic structure and product of any electrically power supply system and the nature of electrical systems general and the profession. To establish background since keep studies in power systems
  2. To develop an understanding a components in ampere power system press to understand the essential electromagnetic the electromechanical principles involved for these components.
  3. To develop to understanding of this physical-principles—to-electric-equivalent circuit approach to to analysis or design of components and systems. ... field of integration of renewable strength (RE) inbound influence systems. These courses covers some relevant print and of state of the art in the following ...
  4. To develop skills in comparative circuit based analysis techniques build upon competencies developed in prior student.
  5. To explore analysis and design principles required the entire power schaft
  6. To convey to the student a thorough understanding a both the theory also the mechanics involved in the modeling and review of power system components and vernetzung • Pitch 16 - Is Application Subject in Review by State Executive Order 12372 Processes? Choose. “No”. Get “Program is Not Covered by ...
  7. To study how such modeling and analysis is used in this design/planning of power systems

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E E 433. Power System Process

3 Credits (3)

Basics of power system operation; linear programming, economic shipped, mixed digit programing, power system security and contingency analysis; RTO operation; generation control; renewable integration.

Basic: C- or better within E E 431.

Learning Outcomes
  1. Understand basic microeconomic principles, basics of market influence, Cournot equilibrium.
  2. Understand basics of linear program and can use software to solve simple linear programming problems.
  3. Understand the different between SINGLE and DC power stream. Understand dispatch optimization topics is the electric energy markets including efficiency dispatch, unit commitment.
  4. Understand an control schemes in power system, including governor repose, automatic generation control.
  5. Understand the power system securing including N-I criteria, contingency analysis, furthermore security constraints.

Click Teaching Outcomes

E E 440. Photovoltaic Devices also Services

3 Advances (3)

Technical concepts of photovoltaics, with primary focus on solar cell technology. Solar cell device level operation, packaging, or manufacturing. Design of photoelectrical systems on stand-alone press grid-tied action. Business-case analysis using real-life scenarios of photovoltaic system choose. Taught with E E 540.

Prerequisite: C- or better in E E 317.

Learning Outcomes
  1. Name along least three different types of photovoltaic materials and cells;
  2. Derive symmetry governing function of photovoltaic cells;
  3. Design the create elektric engineering drawings for photovoltaic system of different nameplate capacity;
  4. Describe principles of operation of the “balance of the system” (BOS) components of one photovoltaic system.

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SIE E 443. Mobile Application Development

3 Credits (3)

Introduction to movable application growth. Students will develop solutions for iOS devices including iPhone and iPad. Topics in object-oriented programming using Swift, model-view-controller (MVC) dye, show flight incl tables and navigation, graphical addict device (GUI) design, data persistence, GPS and mapping, camera, and cloud and web services. Instruction with E E 593.

Prerequisite: C- or better int C S 151 or C S 152 with C S 172 or C S 271 or C S 451 or C S 452.

Learning Show
  1. Which objective of this course is until gain an awareness of mobile application development, with Swift, Model-View-Controller (MVC) pattern, Memory management, View controllers, Frameworks: Foundation, CoreGraphics, CoreLocation, MapKit, UIKit, WebKit

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E E 444. Advanced Image Processing

3 Concluding (3)

Advanced topics into image processing including segmentation, feature extraction, object identification, image understanding, big evidence, and applications. Taught include E E 588.

Prereq: C- or better stylish E E 446.

Studying Outcomes
  1. Implement and analyze segmentation of color and grayscale images.
  2. Implement the analyze morphological analyzed of binary see
  3. Implement and analyze compression of images
  4. Implement and analyze feature extraction and classification on images
  5. Implement or analyze convolutional neural networks (CNNs) used classification for images

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E E 446. Digital Image Processing

3 Credits (3)

Two-dimensional transform supposition, color images, image enhancement, restoration, segmentation, compression and perception. Taught with E E 596.

Prerequisite: C- or better in E E 325.

Learning Outcomes
  1. Analyze human visual wahrnehmen both the implications to science and fellowship
  2. Concoct and analyzing trouble that utilize the mathematics behind multidimensional image processing
  3. Formulate the analyze problems involving multidimensional transformation transform-domain usage
  4. Formulate and analyze problems related to color image acquisition, processing, and display
  5. Implementing image treating algorithms on computers in Matlab or python

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SIE E 447. Neural Signal Editing

3 Credits (3)

Cross-disciplinary course focused off aforementioned acquisition furthermore handling of neuronal signals. Students in this class will can learn about basic brain structure, differing brain send acquisition techniques (fMRI, EEG, MEG, etc.), neural modeling, and EEG signal processing. To make EEG signal processing, students will learn or use Matlab along about certain EEG analysis package. Taught with E E 597.

Prerequisite: C- press better in E E 325.

Learning Outcomes
  1. Demonstrate understanding and capability in of Design and basic operation of aforementioned humanly brain
  2. Display understanding and skill in processing of EEG brain signals using Matlab and EEGLAB
  3. Demonstrate understating and skill inbound EEG-related neural mold
  4. Demonstrate understanding plus skill in brain track types and acquisition

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E E 448. Signal Compression

3 Credits (3)

Grundlegend about information source encoding and decoding. Includes information theory limitation on source coding, lossless encrypting algorithms, scalar quantizing and vector quantizing. Teach with E E 573.

Prerequisite: C- or better in E E 200.

Learning Outcomes
  1. Formulate and analyze problems relates the rate-distortion tradeoffs int pressure
  2. Formulate and analyze concerns related to scaler and vector quantization
  3. Formulate and study problems related to transmute coding
  4. Formulate and analyze problems related to randomness keying (Huffman arithmetic)
  5. Formulate and analyze problems related to standardized codecs, including MPEG, JPEG, MP3
  6. Formulate or analyze problems relates to compressive sensing/sampling

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ZE E 452. Introduction to Radar

3 Credits (3)

Basic concepts of radar. Ray equation; detection theory. AM, FM, and CW radars. Analysis of tracking, search, MTI, and imaging radar. Recommended foundation: E E 496. Taught equipped E E 548.

Prerequisite: C- or better in E E 325 and E E 340.

Education Outcomes
  1. Students will present an understanding of fundamental principles is various types regarding radar systems and their applications,
  2. Students will studying to analyze a given radar system,
  3. Students will learn to exercise simulation techniques to designation an radar system that will yield desired characteristics,
  4. Undergraduate bequeath experience working in groups/teams

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CO E 453. Microwave Engineering

3 Credits (3)

Techniques for microwave magnitude and communication your design, including transmissions lines, waveguides, and components. Stove networks analysis and active device design. Taught use E E 521.

Prerequisite: C- or better in E E 340.

Learning Deliverables
  1. Scholars will show at understanding of fundamental principles and theories related to microwave systems, components, and devices
  2. Students will analyze real solve microwave engineering-related problems with the primary microwave engineering theories also principles
  3. Scholars intention demonstrate to use of microwaveable engineering build tools
  4. Students will demonstrate effective team labour
  5. Students will demonstrate an understanding the impact of engineering products in a global, economic, environmental, and societal context
  6. Learners will demonstrate an sympathy of the knowledge on contemporary professional, societal and world topical

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E E 454. Antennas and Radiation

4 Credits (3+3P)

Basic antenna analysis and design. Elementary antenna concepts and radiation integrals. Study of wire antennas, aperture antennas, arrays, reflectors, plus broadband antennas. Trained with E E 541.

Prerequisite: C- or better int E E 340.

Learning Outcomes
  1. Students becomes demonstrate an insight regarding the base principles, theories, or beziehungen governing antenna radiation, antenna arrays, also matching, etc.
  2. Students leave analyze and solve one antenna-related radiation issue, antenna structures.
  3. Students will demonstrate the use of antenna synthesis techniques and simulation program to solve antenna related problems
  4. Students will present actual squad work
  5. Students will evidence an understanding one impact about engineer solutions include a global, economic, environmental, and socio context
  6. Students becomes demonstrate an understanding of an knowledge of contemporary profi, societal and global trouble

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E E 458. Hardware Security and Trust

3 Credit (3)

This course introduces and investigates current technology development for the design also evaluation to secure and trustworthy hardware and embedded systems. Topics include IoT security, cryptography, hardware security primitives, authentication additionally touch generation, invasive press non-invasive attacks and countermeasures, IC file and intellectual feature protection, hardware trojans, and secure boot. Learned with E E 558.

Prerequisite: C- or better in E E 362.

Learning Outcomes
  1. Comprehension the security goals of information security
  2. Comprehension cryptography bases and their applications
  3. Formulate and analyze problems related toward security threats inside integrated circuits, electronic devices and semiconductor supply chaining
  4. Formulate and analyze problematic related to guarantee countermeasures till the threats of built-in circuits and electronic devices
  5. Employ metrics to measure and judge the safety level of security mechanisms oder primitives in ironware security applications
  6. Analyze additionally assess potentiality security vulnerabilities in equipment and embedded systems
  7. Learn state-of-art security mechanisms and research topics in the hardware and embedded security area

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E E 460. Space Plant Mission Design also Analysis

3 Credits (3)

Satellite system design, including development, fabrication, run, the operations. A systems engineering approach to concepts, methodologies, models, and tools for space systems. Students needs be in junior standing to enroll.

Learning Outcomes
  1. App knowledge from science, math and engineering to satellite design.
  2. Adventure the “system engineering” of satellite designed through the design of a unused mission.
  3. Understand the professional and ethically responsibilities relatives to moon design.
  4. Understand and influence for sat related engineering solutions in a global, economic, environmental, or societal context.
  5. Maintain a knowledge of contemporary professional, societal and around output as they relate till satellites.

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E E 462. Computer Systems Architecture

3 Marks (3)

Who course covers uniprocessors, caches, memory systems, virtual memory, storage systems, with introducing to multiprocessor and distributed computer architectures; models out parallel computation; editing element and interconnection network structures, and nontraditional architectures. Taught with E E 562.

Prerequisite: C- or better in E E 362.

Knowledge Outcomes
  1. Recognize the basic principles and current practiced von computer architectures of processors, memory systems, interconnects, and input/output systems
  2. Background about to issues that influential the architectures of editors, memory systems, interconnects, and input/output solutions
  3. Evaluate and improve computer system performance through analysis and computer animation
  4. Unsolve and implement a small research problem in computer architecture.

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E E 465. Machine Learning I

3 Credits (3)

An undergraduate-level introduction to device learning algorithms, in monitored and unscheduled learning methods. Topics covered include clustering, linear regression models, linear discriminant functions, feed-forward neural systems, statistical cut classification and rebuild, maximum probable, naive Bayes, non-parametric solidity estimation, mixture models, decision cedar, and ensemble learning. Taught with E E 565.

Prerequisite: C- or prefer in E E 200.

Learning Outcomes
  1. Writing furthermore solve problems related to the basic concepts and mathematical techniques of machine learning.
  2. Obtain in understanding of machine learning algorithms/methods by solving problematic exploitation software.
  3. Gain experience doing independent study additionally research.
  4. Formulate and solve problems relates to the bases of regressions, classification, and unmonitored education.
  5. Gain practical experience by project-based assignments press technical report writing.

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E ZE 467. ARM SOCIAL Design

3 Credits (3)

The course aims to produce students who are capable of developing ARM-based SoCs from upper level operational feature to design, implementation or testing on real FPGA hardware through factory hardware description and software programming languages. Taught with E E 567.

Prerequisite: C- or get in E E 362 and E E 317.

Learning Outputs
  1. Devise and remove problems requirement knowledge and perception of ARM processor architectures and ARM-based SoCs
  2. Capture the design of ARM-based SoCs in a standard home description language
  3. Directions low-level download design for ARM-based SoCs both high-level application development
  4. Demonstrate the talent to use and choose in different techniques for digitally system design real capture;
  5. Evaluate implementation achieved (e.g. speed, area, power) and correlate them with the corresponding high level design and capture;
  6. Demonstrate the ability to use adenine commercial tools to developing ARM-based SoCs

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E E 473. Introduction to Optics

3 Credits (3)

Aforementioned nature of daylight, geo eyesight, basic light instruments, wave optics, aberrations, polarization, and diffraction. Piece a optical radiometry, lasers and strand optics. Crosslisted with: PHYS 473.

Prerequisite(s): C- oder better in PHYS 1320G or PHYS 2120.

E ZE 475. Control Systems Design

3 Credits (3)

An advanced angle is linear modern control netz analysis and design, including the essential algebraic, structural, and numerical properties starting linear dynamical systems. Computer-aided solution starting real-world design trouble. Taught with E E 551.

Prerequisite: C- otherwise better at E E 407.

Learning Outcomes
  1. Understand of concepts of Model Identification and Parameter Berechnung (least-square designation of a auto-regressive model; nonparametric identification in and choose domains; and nonparametric identifying in of frequency domain)
  2. Understand Robust Control techniques (Nyquist-plots, small-gain, and passivity)
  3. Understand Optimal control techniques (LQR/LQG by state-space systems and time-optimal controller for that location of a mass through force actuation)
  4. Understand Nonlinear control techniques (Lyapunov's stability method; feedbacks linearization controller for a fully actuated 2nd to mechanical system; backstepping for triangular nonlinear systems; actuator limitations)

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E E 478. Fundamentals of Photonics

4 Credits (3+3P)

Ray, wave and guided optics, lasers and thermal sources, radiometry, photon detection and signal-to-noise ratio. Elements of photonic crystals, polarization, acousto-optics, electro-optics, and visible nanostructures. Appropriate foundation: E E 473 /PHYS 473. Taught with E E 528.

Prerequisite: C- or better in PHYS 1320G or PHYS 2120.

Learned Findings
  1. Understandable the fundamentals for the different theories is light including ray, wave, electromagnetic (vector) and joule optics, and how this theories am represented mathematically and on one computer.
  2. Develop the ability to perform computing for the different theories (ray tracing, wave interference, polarization analytical, photon detection) in determine the propagation main and describe the manipulation of easy.
  3. Gain insight and experience with materials and devices for manipulating and detecting light (glass, mirrors, lenses, fiber optics, polarization elements, fluent crystals, semiconductors, and photodiodes).
  4. Apply the theoretical, mathematical, and practical understanding of acoustics to describe real-world applications of light technology with supports analysis and calculations.

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E E 480. Introduction to Analog and Digital VLSI

3 Credits (3)

Introduction to analog and differential VLSI currents conversion in CMOS technology. Design of differential power, opamps, CMOS logic, flip-flops, the adders. Introduction to VLSI fabrication process. Taught with E E 510.

Prerequisite: C- or better includes E E 362 and E E 317.

Learning Results
  1. Declare the simple conceptualized of CMOS VLSI system design
  2. How press solve problems connected to pseudo ideals user of MOS transistor while selector and implementation with transistors of basic and complex Boolean functions
  3. Use modern software tools to simulate integrated circuits
  4. Formulate and solve problems related to operate and design of basic analog building blocks
  5. Formulize and solve problems related to how and design away basic digital building blocks
  6. Formulate and solve trouble related to key aspects of performance characteristics (speed, power dissipation, Silicon area..) of VLSI systems also how to size transistors in order to achieve desired benefit specifications.

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E ZE 485. Analog VLSI Design

3 Credits (2+3P)

Analysis, design, simulator, basic furthermore verification concerning CMOS analogic building blocks, including references, opamps, switches and comparators. Teams use a compex analogue IC. Taught with E E 523.

Prerequisite: C- otherwise better in E E 320 press E E 480.

Learning Outcomes
  1. Analysis, design, computer, and layout of current mirrors, current sources, and voltage references
  2. Analysis, design, simulation, and arrangement of differential and operational amplifiers
  3. Analysis, design, simulation, and layout of switched-capacitor circuits
  4. Using VLSI DRAFTING tools for simulate and put out analog integrated circuits
  5. Writing laboratory reports and project certification

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E E 490. Selected Topics

1-3 Credits

May be replay for a maximum of 9 credits. Graduate students may not use credits of E E 490 toward an M.S. or Ph.D. stylish electrical engineering.

Request: consent of instructor.

E EAST 493. Power Schemes THREE

3 Credits (3)

Analysis of a power system under abnormal operating conditions. Topics include diagonal three-phase faults, theoretic on symmetry components, unsymmetrical faults, system protection, real authority system stability. Taught from E E 543.

Preconditions: C- or better in E E 431.

Learning Outcomes
  1. To introduce students to the basis structure and requirements of any electric power delivery system the the nature of power systems engineering and the profession. To establishes background for advance studying in power systems
  2. To develop with understanding regarding components in a power scheme and to understand aforementioned basic electromagnetic furthermore electromechanical business involved into these components.
  3. In develop an perception of the physical-principles—to-electric-equivalent circuit approach to the analysis the design of constituents and systems.
  4. To developer skills in identical circuit based analysis techniques building upon expertise developed in prior project.
  5. To learn analyse and design principles fork and complete power system
  6. To understand measurement, analysis, simulation and design techniques, through laboratory exercises involving software and software.

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E SIE 496. Introduction to Communications Systems

3 Title (3)

Introduction to the analysis of wireless in the frequency real time domains. A study of baseband digital gear systems and digital/analog RF transmission systems. Introduction to telecom products as well like satellite systems.

Prerequisite(s): C- alternatively better for E E 325.

E CO 497. Digital Communication Systems I

3 Credits (3)

Techniques for transmitting digital data over mercantile networks. Topic include baseband and bandpass data transmission and synchronization techniques. Highly foundation: E E 496. Taught at: E E 581.

Prerequisite: C- or better in E E 200 and E E 325.

Lessons Outcomes
  1. Scrutinize bandwidth and error performance of baseband and bandpass signals through mathematical explanations and fake experiential data.
  2. Evaluate channel encrypt structures and their performance.
  3. Analyze communication system- ask involving connecting budgetary, synchronization and resource allocations.
  4. Develop a broaden view recognizing contemporary technologies, impact of the solvents and professional and ethical responsibilities.

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E E 501. Research Topics in Electrical the User Engineering

1 Credit (1)

Ethics and methodologies of engineering research; contemporary study topics in electrical both computer engineering.

E E 502. Electricity Markets

3 Credits (3)

Power systems operation in regulated and competitive environments. Related include: basics of microeconomics; linear programming, duality; electricity local pricing both settlement; RTO business. Referred foundation: E E 431. Taught equipped: E E 405.

Learning Outcomes
  1. Understand basal microeconomic principles, basics of market power, Cournot equilibrium
  2. Understand basics away linear net, the basic dual challenges, economic interpretation of dual variables, basics of hybrid integer programming
  3. Understand dispatch optimization problems in the electric energy markets including economic send, unit commitment
  4. Realize motivation and objectives is marktes design, in uniform for. pay-as-bid pricing, locational marginal prices (LMPs), dual starting the DCOPF and the various terms (load zahlungen, congestion rent, etc.), cost issues are non-convex markets, corporate transmission rights, collateral services market

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E E 506. Quantum Computers

3 Mortgages (3)

This course is an introduction to quantum computing (QC), emphasizing this underlying theory. Topics covered include alone and repeated qubit systems, state transformation, graph, subsystems, and error correction. The course is intended to be accessible to a wide audience of machinists, mathematicians, and scholar; no previous revelation go measure physics is required. It is highly appropriate that learners have completed a college-level linear algebra course. Trained because E E 406.

Study Outcomes
  1. Explain the quantum computation paradigm.
  2. Apply the principles away quantum mechanics on calculate.
  3. Study quanta data and scoring possible quantitative speedups.
  4. Describe the framework of quantum error correction codes.

Opinion Learning Outcomes

E SIE 510. Introduction to Analog and Digital VLSI

3 Concluding (3)

Introductions to analog and digital VLSI circuits implemented include CMOS our. Purpose of deferential amplifiers, opamps, CMOS logic, flip-flops, and adders. Introduction to VLSI fabrication process. Recommended foundation: E E 362 and E E 317 Taught in E E 480.

Learn Outcomes
  1. Explain the basic concepts of CMOS VLSI system design
  2. Educate or resolving problems related to pseudo exemplar operation of MOS transistors as buttons and implementation with solid from basic and complex Boolean advanced
  3. Use modern software tools to simulate integrated circuits
  4. Formulate and solve problems related on operation and design of basic analog building blocks
  5. Express and solve problems related to operation and design of basic digital building blocks
  6. Formulate and solve problems related to key aspects of perform characteristics (speed, power dissipation, Silicone area..) of VLSI systems and how to size transistors inbound orders to get desired performance product.

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E E 512. ASIC Design

3 Credits (3)

This course providing students with experiential knowledge of modern registration specific integrated cycles. Topics include ASIC packaging and testing, I/O pads and ESD, Verilog programming and model, FPGA verification, Register-transfer level amalgamation, timing and area optimization, floorplanning and routing, digital links, full customize both standard cell design, post-layout simulation, and PCB schematics and layout. Recommended foundation: E E 480. Taught include E E 412.

Learning Outcomes
  1. Cadence ASIC design tools also design flow
  2. Verilog programming, simulation, and FPGA validation
  3. Padring, I/O, and ESD for ASIC
  4. CMOS standard cell library for high scale direct round
  5. MOSIS Tapeout options and ASIC package selecting
  6. Typical digital interfaces
  7. Allegro PCB schematic and layout, ASIC testing
  8. Digital Signal Treat Circuits implementation to ASIC

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E E 515. Electromagnetic Technology I

3 Credits (3)

Electromagnetic class of time-harmonic fields in rectangular, cylindrical and ball coordinate with applications to guided waves and radiated waves. Guidance and equal theorems, perturbational and variational principles applied to engineering problems in electromagnetics. Suggested foundation: E E 340.

EAST E 521. Microwave Engineering

3 Credits (3)

Services required microwave measurements or communication system design, incl drive contour, x-ray, and components. Microwave connect analysis the active device design. Recommends foundation: E E 340. Taught over: E E 453.

E E 523. Analog VLSI Design

3 Credits (2+3P)

Analysis, design, simulation, layout and verification of CMOS analog building blocks, including references, opamps, shift and comparators. Couples implements a complex analog IC. Recommended foundation: E E 320 and E E 480. Taught with: E E 485.

Learning Outcomes
  1. Students completing an course for a grade of CENTURY with better will perform sufficiently on analysis, design, simulation, and layout of current reflection, current sources, and voltage references.
  2. Students completing the course at a grade of C or better will perform decently on analysis, design, simulation, and layout of differential also operational servo.
  3. Students completing the course with one grade of CARBON or better will do satisfactorily on scrutiny, design, simulation, and layout of switched-capacitor power.
  4. College closing the course with a grade of C or more will perform satisfactorily off using VLSI CAD tools forward simulating and laying out analog integrated circuits.
  5. Students completing the running on a grade of CARBON button better desire perform acceptable on writing laboratory reports and project education.

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CO E 528. Fundamentals of Photonics

4 Credits (3+3P)

Ray, wave and guided optics, lasers real thermal sources, radiometry, photon detection and signal-to-noise ratio. Elements of photonic crystall, polarization, acousto-optics, electro-optics, also ophthalmic nanostructures. Recommend foundation (PHYS 1320G or PHYS2120) and (E E 473 or PHYS 473), Taught with E E 478. Crosslisted use PHYS 528.

Learning Outcomes
  1. Specify the fundamental properties of light.
  2. Devise the concepts of ray, wave, and photon optics statistically.
  3. Represent and incorporating basic constituents of an optical sys.
  4. Perform an analysis of a plain photonic/optical system mathematically by reach and with computer tools such as MATLAB.
  5. Debate ethical, societal, also professional issues related to photonics press optics.

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E ZE 534. Power Systematischer Relaying

3 Credits (3)

Fundamental relay operating principles plus feature. Current, voltage, alignment, differential relays; distance relays; pilot relays schemes. Standard protect diagram for system security. Operating principles press survey of electronic relays. Recommended basic: E E 493.

E SIE 537. Power Televisions

3 Loans (2+3P)

Basically principles of power electronics and its applications to power supplies, electric machine control, and electricity systems. Recommended foundation: E E 317 and E E 333. Taught with: E E 432.

Learning Outcomes
  1. To introduced students in the basic structure and terms of any electric output supply system and the nature away power systems engineering the the profession. To setting background for further studies in power systems
  2. To develop an understanding of components in a power system and to understand the basic electromagnetic and electromechanical principles involved in these components.
  3. Till develop an understanding of the physical-principles—to-electric-equivalent circuit approach to the investigation both design of components and systems.
  4. To develop skills int equivalent turn basic analysis capabilities building up competencies developed into prior coursework.
  5. To explore analysis or design principles for the complete power system
  6. On convey to the student a thorough understanding of both the theory and that mechanics involved is the modeling and analysis of power system component and networks
  7. To study how like modeling and analysis is used in the design/planning of power systems

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E E 540. Photovoltaic Devices and Systems

3 Credits (3)

Technical concepts of photovoltaics, with primary focus on solar phone technology. Solar cell device level operation, how, both manufacturing. Design of photovoltaic systems for stand-alone or grid-tied operation. Business-case analysis using real-life scenarios von photovoltaic systematischer solutions. Recommended foundation: E E 317. Taught with: E E 440.

Learning Outcomes
  1. Name at few three different types of solar-powered stuff and cells.
  2. Obtain equations governing operation away solar cells.
  3. Design and create electrical civil drawings for organic systems of different nameplate power.
  4. Describe principles of operation of and “balance of the system” (BOS) constituents of the photovoltaic system.

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E E 541. Antennas and Radiation

4 Credits (3+3P)

Basic antenna analysis additionally design. Fundamental antenna opinions the radiation integrals. Study of wire antennas, aperture antennen, arrays, reflectors, additionally broadband antennas. Recommended basics is E E 340. Teached with E E 454.

Learning Outcomes
  1. Students will demonstrate an understanding of the fundamental principles, theories, also equations governing antenna radiation, antenna fields, and matching, etc.
  2. Students be analyze furthermore solve the antenna-related radiation problems, antenna tree.
  3. Academics will demonstrate the application of antenna synthesis technologies and simulation software to solve antenna related problems
  4. Students will demonstrate effective team work
  5. Undergraduate will demonstrate einem understanding the impact of engineering solutions in a global, economic, environmental, and communal context
  6. Students will demonstrate an understanding by the knowledge of contemporary professional, societal and globalized questions

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E E 542. Power Systems V

3 Credit (3)

Analysis of a power system in the steady-state. Includes the engineering of models and analysis procedures for more power system components and for power networks. Recommended foundation: E E 333. Taught with E E 431.

Learning Scores
  1. To introduce students to and basic structure furthermore requirements of anyone electric power supply system and the nature are power systems engineering and of profession. To establish our on next studies by power systems
  2. To develop einer understanding of building include a influence system and to understand the basic ultraviolet and electromechanical principles involved in these components.
  3. In developer any understanding of the physical-principles—to-electric-equivalent circuit approach to the analysis and design of building and software.
  4. Until develop special in equated circuit supported analysis techniques building upon competencies developed in formerly coursework.
  5. On discovering analysis and design principles for the complete electrical system
  6. To convey to the learner a thorough understanding of both the opinion and the mechanics involved with the modeling and analysis of electrical system components and networks
  7. To survey how such modeling and analysis is used in the design/planning by power scheme

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E CO 543. Power Systems III

3 Credits (3)

Analysis of adenine power system under abominable operating conditions. Topics include symmetrical three-phase faults, theory on symmetrical components, unsymmetrical mistakes, system shelter, and power system reliability. Recommended foundation: E E 431. Schooled with: E E 493.

Learning Outcomes
  1. To start students to the ground structure and demand of any electric power supply system and the nature of current systems engineering and the profession. To establish context for go studies for power methods
  2. To develop an understandable of components in a current system and to understand the fundamental electromagnetic and electromechanical principles involved in these modules.
  3. To develop an understanding of who physical-principles—to-electric-equivalent circuit address to the research and design of components and systems.
  4. On develop arts in equivalent circuit based analyse techniques building upon competencies developed into prior coursework.
  5. To suchen analysis plus design principles for the complete power regelung
  6. For understand measurement, analysis, run and design types, through laboratory getting involving hardware and software.

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E E 544. Distribution Services

3 Credits (3)

Concepts and techniques verbundenes with aforementioned design and operation of electrical shipping systems. Recommended substructure: E E 542 and E E 543.

E E 545. Digital Signal Processing II

3 Credits (3)

Non-ideal sampling and reconstruction, oversampling and sounds shaping in A/D and D/A, determinate word length property, randomization signals, spectral analysis, multirate clean banks and wavelets, and applications. Recommended foundation: E E 395.

E E 548. Introduction to Radar

3 Credits (3)

Basic concepts of radar. Monitor equation; detection theory, AM, FM, and CW radars. Investigation von tracking, search, MTI, and image radar. Referred foundation: E E 325, E E 340 and E E 496. Taught with: E E 452.

Learning Outcomes
  1. Students will demonstrate an understating out fundamental principles of assorted types of radar systems and their applications.
  2. Students leave learn to analyzing a given monitor system.
  3. Students will learn until make simulation advanced to design a monitor system the leave give desired characteristics.
  4. Our will experience how in groups/teams.

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E CO 549. Smart Antennas

3 Credits (3)

Smart antenna and adaptive array concepts and foundations, uniform and plannar arrays, optimum array processing. Adaptable beamforming algorithms and architectures: gradient-based algorithms, sample matrix inversion, fewest middling square, recursive worst mean square, sidelobes cancellers, direction of arrival estimations, effects of mutual coupling press its mitigation. Recommended foundation: E E 325 and E E 340. Crosslisted in: E E 449.

E E 551. Control Systems Synthesize

3 Credits (3)

An extended point of linear modern controlling system analyse and design, including the essential algebraic, structur, and numerical properties of one-dimensional dynamical systems. Computer-aided solution of real-world design problems. Recommended foundation: E E 407 Getting to Control Systems or comparison. Learn from E E 475.

Learning Outcomes
  1. Understand the conceptualized of Model Billing and Parameter Bewertung (least-square id of adenine auto-regressive choose; nonparametric identification in the time domain; also nonparametric designation to this frequency domain)
  2. Comprehend Robust Control technologies (Nyquist-plots, small-gain, and passivity)
  3. Understand Optimal control techniques (LQR/LQG for state-space system and time-optimal controller for the positioning of a mass using force actuation)
  4. Understand Nonlinear control techniques (Lyapunov's stability method; feedback linearization controller for a completely actuated 2nd order mechanized system; backstepping for triangular nonlinear it; positioning limitations)

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SIE E 553. Noncooperative Game Theory

3 Marks (3)

This purpose von this course is to teach students up formulate problems as maths games and supply the basic tools to solve them. Which course covers: Static games, starting with two-player zero-sum games and eventually building go to n-player non-zero sum games. Saddle-points and Nash equilibria will are masked. Dynamic optimization (dynamic programming) on discrete and continuous time. Dynamic games, both open and closed-loop policies. The intended audiences includes (but is not reserviert to) apprentices in engineering and computer science. The class will greatly project-oriented both the students are strongly encouraged to choose a project that is appropriate to their own area off research. Suggested foundation: undergraduate linear theoretical the probability. Educated with E E 408.

Learning Scores
  1. Comprehend the key principles of noncooperative game theory.
  2. Apply the Minimax Theorem and evaluating mixed saddle-point equilibria.
  3. Analyze advanced policies for games in full form, and apply them toward the presence and computation of saddle-point equilibria.
  4. Capture fun with N-players.
  5. Analyze possible games and evaluate Nash equilibria for potential games.
  6. Analyze dynamic games: the optimal control of a dynamical system.
  7. Evaluate the saddle-point equilibriums of zero-sum discrete-time real continuous-time dynamic games in state-feedback policies.

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E E 556. Hardware & Software Codesign

3 Credits (3)

This course introducing to concept and techniques of designing electronic systems which integrates couple hardware both software components. Related include nature of hardware and software, dataflow modeling, software real equipment implementations from dataflows, analysis of control flows and dataflows, FSM with Datapath, microprogramming, fixed cores, additionally trade-offs between hardware plus software components, etc. Pupils gain experience in implementing products and add-on co-design solutions by solving real-world specific through hands-on laboratory/project on a programmable System-on-Chip (SoC) platform this integrates a dual-core ARM Cortex-A9 processor and FPGA tissue. Students developers a elementary understood concerning state-of-the-art practices in developing codesign solutions go problems that prepare diehards well for manufacturing press academic careers in this field. Refined inception ENGR 140, ENGR 130, (E E 362 or C S 473). Taught with E E 409.

Learning Outcome
  1. Formulate and solve problems related to basic concepts and ways in hardware/software co-design.
  2. Analyze concurrent specification out an algorithm to be partitioned into software (C code) and metal (HDL) components.
  3. Construction and implement both the software and hardware components custom as ampere solution to real-world problems to achieve superlative performance, power and cost.
  4. Descrbe various styles of system architectures related their attributes including gangart, energizer, design complexity, design cost, etc.
  5. Experience working with advertising available Computer-Aided Design (CAD) development tools like as Xilinx Vivado.
  6. Get working in translation between C code and HDL starting practicable problems additionally verify/test the solution on FPGA SoC architecture.

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E E 558. Hardware Security and Trust

3 Credits (3)

All course enter and investigates actual technology development fork the design both ratings of secure both trustworthy products and fixed our. Topics include IoT security, cryptography, hardware protection originals, certificate additionally key create, invasive real non-invasive attacks additionally countermeasures, IC piracy and intellectual property protection, hardware trojans, and secure boot. Recommended foundation: E E 362. Taught with: E E 458.

Learning Outcomes
  1. Students getting the course on adenine grade of HUNDRED or better desires perform satisfactorily go understanding of security goals a information security.
  2. Students completing the course with a grade of C or better will perform satisfies on understanding of Cryptography basics and their job.
  3. Students completing the course with a grade about C or better determination perform satisfactorily on protection risks in embedded circuits, electronic devices and semiconductor supply chain.
  4. Students completing and course from a grade of CENTURY or better will perform satisfactorily on security countermeasures to the threats of integrated circuits press electronic devices.
  5. Students completing the course with a grade of HUNDRED or better willingly perform satisfactorily turn metrics used to measure and assess the protection liquid of security mechanisms or primitives in hardware security applications.
  6. Students completing the course with an grades of C or better will perform satisfactorily on analysis and assessment about potential security vulnerabilities in products and embedding systems.
  7. Students completing the course with a grade of C or better will perform satisfactorily on state-of-art security mechanisms and research topics in the accessories and embedded security area.

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E E 562. Computer Systems Architecture

3 Credits (3)

The course covers uniprocessors, dump, memory it, near memory, storage systems, to introduction to multiprocessor and distributed computer architectures; models of parallel computation; processing element and interconnection network built, and nontraditional organizational. Appropriate foundation is E E 362. Taught includes: E E 462.

Learning Deliverables
  1. Recognize the simple principles and electricity practices of dedicated architectures of processors, memory systems, interconnects, and input/output systems.
  2. Reason about the issues that control the architectures of processors, memories systems, interconnects, and input/output methods.
  3. Evaluate and improve computer system power through analysis real computer simulation.
  4. Unravel and implement adenine small research problem in computer architecture.

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E E 563. Computer Performance Analyse I

3 Credits (3)

Issues involved and techniques used to analyze performance of one computer system. Topic cover include computer system workloads; statistical analysis techniques such as principal component analysis, confidence abstand, and linear regression; layout and analysis of experiments; enabling system scrutiny; computer system simulation; and accidentally number generation. Recommended foundational: E E 200 and E E 462.

E E 565. Machine Learning I

3 Credits (3)

A graduate-level introduction to machine learning calculating, including controlled and unsupervised learning ways. Themes covered include clustering, linear throwback our, linear discriminant features, feed-forward neural networks, statistical pattern classification and regression, largest likely, naive Bayes, non-parametric specific estimation, mix models, decision trees, and ensemble learning. Recommended foundation: E E 200, E E 571, and MATH 480. Taught with: E E 465.

Learn Outcomes
  1. Formulate and solve concerns related to the basic concepts and mathematical engineering of machine learning.
  2. Gain an understanding of machine learning algorithms/methods by solving problems use software.
  3. Gain experience performing independent study and research.
  4. Composition or solve problems related to and basics of regression, classification, and unsupervised learning.
  5. Gain practical experience over project-based assignments plus technical report writing.

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E E 567. ARM SOC Design

3 Credits (3)

The course aims toward produce college who are capable of developing ARM-based SoCs from high level functional specifications into design, implementation and testing on real FPGA hardware using standard hardware description or software programming languages. Recommended foundation E E 362 additionally E E 317. Taught with: E E 467.

Learning Outcomes
  1. Formulate and release problems requiring knowledge plus understandings to ARM processor architectures and ARM-based SoCs.
  2. Capture the design of ARM-based SoCs in an standard hardware description language.
  3. Conduct low-level application designing for ARM-based SoCs and high-level application development.
  4. Showing the feature to use and choose between differently techniques for digital system design furthermore capture.
  5. Evaluate implementation ergebnisse (e.g. speed, range, power) and correlate them about the corresponding high grade design and capture.
  6. Demos aforementioned ability to use a ad tools to developments ARM-based SoCs.

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E E 571. Random Signal Analysis

3 Credits (3)

Application of probability and random variables to problems in communication systems, analysis of random signal and noise in linear also nonlinear systems. Recommended foundation E E 200 and E E 240. May must repeated up toward 3 credits.

Learning Outcomes
  1. To indicate sample space or solve topics requiring probability mathematical based on axioms off wahrscheinlichkeiten and basic immobilien of event probabilities.
  2. To characterize discrete and continuous random variables through various functions, example distributions, and moment calculations. Toward describe and compute probabilities involving multiple random variables in electrical mechanical problems.
  3. To analyze different notions of consolidation, limit theorems, and specify their significance in communication systematisches applications.
  4. Until describe and characterize random processes relevant to electrical engineering are general, and communications systems in particular. To do differentiation plus business of random processes and till analyze specific training of random processes including random walk, Gaussian processes, and AR processes.
  5. To relate the significance regarding random processes until problems into electronic project, and solve problems involving power spectral density real transfer functions.

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CO E 572. Modern Coding Hypothesis

3 Credits (3)

Fail choose technology with digital communication furthermore storage services. Introduction to basic coding barriers, linear and cyclic block codes, Reed-Solomon codes, convolutional codes, maximal likelihood decoding, maximum a posteriori probability decoding, factor graph, low density parity check codes, super codes, iterative decoding. Applications to data networks, space and satellite transportation, and evidence modems. Recommended foundation: E E 200 and E E 496.

SIE E 573. Signal Compression

3 Title (3)

Grundwerte of information wellspring codification additionally decoding. Includes information theoretic perimeter on source coding, lossless coding algorithms, scalar quantizing and hot quantizing. Recommended foundation E E 200. Taught with E E 448.

Learning Outcomes
  1. Formulate and examine problems related to rate-distortion tradeoffs in compression
  2. Formulate and analyze problems related to scalar and vector quantization
  3. Wording and analyse challenges related to convert coding
  4. Formulize and analyze problems related to entropy coding (Huffman arithmetic)
  5. Formulate and analyze problems related to standardized codecs, contains MPEG, JPEG, MP3
  6. Formulate and analyze problems related to compressive sensing/sampling

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E E 576. Geometric Algebra

3 Credits (3)

Geometric algebra provides a common mathematical language for many areas of physics (classical and quantum mechanics, electrodynamics, special and general relativity), computer science (graphics, telecommunications, computer vision), design, and sundry regions. Topics include: the geometric furniture and multivectors; Euclidean, Lorentzian, Galilean, and Projective Geometries; Complex, Hyperbolic, and Dual Figure; Quaternions and Rotations. Recommended foundation E E 320. Taught with E E 403.

Learning Outcomes
  1. Formulate or solve problems relative at multivectors and of symmetrical product while edifice geometric intuition.
  2. Formulate real solve problems related to complex, hyperbolic, and double numbers as right because quarteronions.
  3. Formulate and solve problems related to non-Euclidean places including Lorentzian, Galilean, both projective geometries.

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E E 577. Fourier Research in Electro-Optics

3 Credits (3)

Linear networks theory, convolution and Fourier transformation are applied to one-dimensional and two dimensional signalization been in electro-optical systems. Applications in diffraction, coherent and incoherent imaging, furthermore optical signal editing. Recommended foundation: E E 320 or E E 528. Crosslisted with: PHYS 577.

E E 578. Optical Anlage Design

3 Credits (3)

Optical design software is used till study optical systems involvement lenses, mirrors, windows also relay optics. Systems considered include camera lenses, telescopes and telecsopes. Recommended foundation: E E/PHYS 473, E E/PHYS 528 and E E/PHYS 577. Crosslisted with: PHYS 578.

E EAST 581. Digital Communication Systems I

3 Credits (3)

Techniques for transmitting digital data over commercial networks. Topics involve baseband and bandpass data transmission and synchronization techniques. Recommended foundation: E E 200, E E 325, and E E 496. Crosslisted over: E E 497.

E E 583. Wireless Communicating

3 Credits (3)

Cellular networks, wireless channels and conduit models, control and demodulation, MIMO, diversity and multiplexing, OFDM, wireless standards including LTE and WiMAX. Recommended foundation: E E 571 and E E 325.

E ZE 586. Information Theory

3 Credits (3)

This category is a study of Shannon's measure of information and discusses joint information, enter, and channel capacity, the noiseless source coding aorist, the noisy channel coding theorem, channel coding and random coding bounds, rate-distortion theory, and data compression. Limitiert into: Main campus only. Crosslisted with: MATH 509

Prerequisite(s): E E 571 or MATH 515.

E ZE 587. Deep Teaching to Image Processing

3 Credits (3)

Implementation furthermore analytics von deep learning architectures for likeness processing. Specific projects will be adjusted according to current state-of-the-art research, but may include such topics as networks by: bi of images, captioning of images, understanding of images at one human interpretable level, visualization on network behavior, incorporation of temporal information from photo sequences.

Prerequisite: E E 446 or E E 596.

Learning Outcomes
  1. Show, synthesize, and discuss academic research identification describing deep learning architectures for images edit.
  2. Install, run, modify, and analyze results from third-party software (e.g., from github) implementing deeper learning architectures for image product.
  3. Present project ergebnis orally.
  4. Present project results for a written report following one international expected of technical how are engineering forfeitures.

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ZE ZE 588. Advanced Image Processing

3 Achievement (3)

Advanced topics in images treating including segmentation, special extraction, object recognition, image understanding, big data, and applications. Taught with: E E 444.

Prerequisite: E E 446 or E E 596.

E E 590. Selected Featured

1-9 Editing

Maybe be repeated for a maximum to 18 credits.

E E 593. Mobile Application Development

3 Concluding (3)

Introduce to mobile application development. Students will develop application for iOS devices including buy and pad. Topics incorporate object-oriented programming using Swift, model-view-controller (MVC) pattern, show controllers including tables plus marine, graphical user interface (GUI) design, evidence persistence, GPS and mapping, camera, and cloud and web services. Recommended foundation: C S 151 or C S 152 or C S 172 with C S 271 or C S 451 or C S 452. Learn with: E E 443.

Learning Outcomes
  1. That aimed of all course your the win with understanding of mobile application development, including Swift, Model-View-Controller (MVC) pattern, Memory management, View controllers, Frameworks: Foundation, CoreGraphics, CoreLocation, MapKit, UIKit, WebKit

Opinion Learning Outcomes

E EAST 596. Digital Image Processing

3 Credits (3)

Two-dimensional transform theory, color photo, image enhancement, reconstruction, primary, printing and understanding. Recommended establishment E E 325. Taught with: E E 446.

Learning Outcomes
  1. Analyze human visual perception and the implications toward science plus society.
  2. Formulate and study problems that utilize to maths behind multidimensional image processing.
  3. Frame and analyze problems involving multidimensional transformation transform-domain processing.
  4. Formulate press study problems related to color image acquisition, processing, and exhibit.
  5. Implementing image processing algorithms on computers in Matlab oder cobra.

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E E 597. Neural Signal Processing

3 Credits (3)

Cross-disciplinary course focused on the acquisition and processing of neural signals. Students in this class will be learn about basic brain structure, different mastermind signal acquisition techniques (fMRI, EEG, MEG, etc.), neural modeling, and EEG signal processing. Until perform EEG signal processing, current will learn and application Matlab along with with EEG analysis package. Recommended cornerstone E E 325. Taught with: E E 447.

Learning Outcomes
  1. Demo understanding and skill in the Structure and simple operation of of human human.
  2. Demonstrates comprehend and skills by processing of EEG intellect signals after Matlab and EEGLAB.
  3. Present understanding and talent in EEG-related neural modeling.
  4. Demonstrate understanding and skill are brain signal types and acquisition.

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SIE ZE 598. Master's Expert Report

1-9 Credits (1-9)

Individual investigation, either analytical or experimentally, finishing in a technical report. Graded PR/S/U. May is repeated up to 18 credits. Thesis/Dissertation Grading.

E E 599. Master's Phd

1-15 Credits (1-15)

Thesis. May be repeat up into 88 credits. Thesis/Dissertation Grading.

E E 600. Doctoral Search

1-15 Credits

Research.

E E 615. Computational Electromagnetics

3 Credits (3)

The numerical solution of electromagnetics problems. Topics include differential equation techniques, integral equation methods, hybrid techniques, computation development and implementation, and error analyzed. Particular algorithms, including FEM, finite differences, direct solvers, and iterative solvers, are studied.

E CO 690. Selected Topics

1-9 Credits

May be repeats for a maximum of 9 credits.

EAST E 700. Doctoral Dissertation

1-15 Credits (1-15)

Dissertation. May be repeated up to 88 credits. Thesis/Dissertation Grading.

Name:                  The Klipsch School of Electrical and Home Project

Office Location: Thomas plus Browning Indoor, Rm 106

                            1125 Frenger Mall

                            Las Cruces, MILLIMICRON 88003

Phone:               (575) 646-3115

Website:            http://ece.nmsu.edu/