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Educational Studies |
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EDST 4600 - Diversity & Social Justice Minor Capstone
Credits: 3-6
Max Credit (Max. 6)
In community-engaged learning, sometimes called “service learning,” students have the privilege of gaining work experience with the benefit of a community mentor. This course is a seminar class with a field experience. Students will meet as a group as well as assigned a community field placement experience.
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Electrical Engineering |
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EE 1010 - Introduction to Electrical and Computer Engineering
Credits: 1
Introduction to Electrical and Computer Engineering through a laboratory experience. Students perform both hardware and computer laboratory exercises in a wide range of areas of electrical and computer engineering.
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EE 1101 - First-Year Seminar
Credits: 3
USP Code [(none)< >FYS]
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EE 2220 - Circuits and Signals
Credits: 4
Review of sinusoidal steady state analysis and ac power. Mutual inductance and linear transformers. Laplace transform. Laplace transform in circuit analysis. Frequency dependent circuits, including RLC circuit resonance. Magnitude and phase response, complex poles and zeros. Bode plots. Filter circuit fundamentals. Fourier series. Laboratory.
When Offered (Offered spring semester only)
Former Course Number [3320]
Prerequisite: ES 2210 , or ES 2215 and ES 2216 .
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EE 2390 - Digital Systems Design
Credits: 4
Binary logic, digital logic gates, reduction of Boolean expressions, combinational logic design. MSI and LSI combinational logic ICs, flip-flops, synchronous and asynchronous sequential systems design, MSI and LSI sequential system ICs, and algorithmic state machines.
Prerequisite: COSC 1010 or COSC 1015 or COSC 1030 or ES 1060 , and MATH 2205 .
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EE 2800 - Problems In:
Credits: 1-3
Max Credit (Max. 3)
Section 1 is individual study. Other sections are group study by seminar or class format. Features topics not included in regularly offered courses.
Prerequisite: consent of instructor.
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EE 3150 - Electromagnetics
Credits: 3
A thorough study of static electric and magnetic fields using vector methods with an introduction to dynamic fields.
Prerequisite: ES 2210 , or ES 2215 and ES 2216 , MATH 2210 , and PHYS 1220 or concurrent enrollment.
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EE 3220 - Signals And Systems
Credits: 3
Discrete and continuous-time signals and systems. Topics include linear time-invariant systems; convolution; difference equations; FIR and IIR systems; sampling, aliasing, reconstruction, and quantization. Frequency domain concepts include discrete and continuous Fourier transforms, Z-transforms, system frequency response, Laplace transform properties, and applications of digital filters and DFT analysis.
When Offered (Offered spring semester only)
Prerequisite: EE 2220 .
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EE 3310 - Electronics I
Credits: 4
Physical characteristics and models of semiconductor devices with application to electronic circuit design. Diode circuits, single transistor amplifiers, biasing, and load lines. Laboratory.
When Offered (Offered fall semester only)
Prerequisite: PHYS 1220 or PHYS 1320 or EE 3150 , and EE 2220 .
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EE 3312 - Electronics I Laboratory
Credits: 1
Hands on interactive laboratory investigation of the physical characteristics of semiconductor devices and applications in electronic circuit design. Study of diode and transistor characteristics as well as diode circuits and single transistor amplifier circuit design, construction and testing. Prerequisites: EE3311 must be taken either concurrently or as a prerequisite. (Offered fall semester only)
Prerequisite: EE3311 must be taken either concurrently or as a prerequisite.
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EE 3331 - Electronics II
Credits: 3
Current sources, differential and multistage amplifiers; circuits with ideal and non-ideal operational amplifiers; low and high band frequency response, feedback, stability, gain and phase margin of amplifiers; output stages, class A and push-pull; monolithic operational amplifier; oscillators; transistors as switches and introduction to digital electronic circuits. Laboratory. Prerequisites: (EE 3310 or EE 3311) and EE 2220. (Offered spring semester only)
When Offered (Offered spring semester only)
Prerequisite: (EE 3310 or EE 3311) and EE 2220
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EE 3332 - Electronics II Laboratory
Credits: 1
Hands on interactive laboratory investigation of transistor switching circuits, differential amplifiers, current sources, amplifier frequency response, feedback, output stages, and oscillators. Prerequisites: EE 3312 and EE 3331 concurrently (offered spring semester only).
Prerequisite: EE 3312 and EE 3331 concurrently
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EE 3510 - Electric Machines and Power Systems
Credits: 4
Polyphase AC circuits; single phase and polyphase transformers; AC synchronous and induction machines; introduction to power systems and per unit system; transmission line parameters; steady-state operations of transmission lines; power flows; transient stability; synchrophasor system and its applications.
Prerequisite: ES 2210 , or ES 2215 and ES 2216 .
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EE 3890 - Engineering Honors Program Research Methods
Credits: 3
A general approach to scientific research and graduate school preparation. Topics will include: finding a research mentor, literature search skills, using the scientific method for approaching a research problem and developing a research methodology, writing a research funding proposal, delivering a research presentation and selecting and applying for graduate school.
Cross Listed ARE 3890 /ATSC 3890 /CE 3890 /CHE 3890 /COSC 3890 /ES 3890 /PETE 3890 .
Restricted Restricted to College of Engineering Honors Program students.
Prerequisite: sophomore standing.
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EE 4075 - C++ with Numerical Methods for Engineers
Credits: 4
Introduction to the fundamentals of practical engineering programming, using specific applications of numerical methods to demonstrate these principles. The use of an object oriented approach using C++ in an efficient manner is emphasized. Other solution approaches, including C and Matlab will be discussed as appropriate.
Note: Credit will not be allowed in both EE 4075 and ES 3070.
Prerequisite: MATH 2205 and (COSC 1010 , COSC 1015 , or ES 1060 ) and (MATH 2250 or MATH 2310 ) or consent of instructor.
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EE 4220 - Probabilistic Signals and Systems
Credits: 3
Fundamentals of probability and statistics for engineers; reliability in engineering systems; random processes, statistical estimation, auto/ cross correlation and power spectral density functions and linear filtering of random signals.
Prerequisite: MATH 2210 and EE 3220 . EE 3220 may be taken concurrently.
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EE 4245 - Digital Signal Processing
Credits: 3
Sampling and oversampling A/D’s; FIR and IIR digital filter design, effects of quantization, practical realizations; applications of the discrete and fast Fourier Transform (DFT and FFT); correlation, periodograms, window effects, multi-rate techniques, multi-dimensional signal processing, and other topics in digital signal processing.
Prerequisite: EE 3220 .
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EE 4250 - Network Synthesis
Credits: 3
Characterization and design specification of analog filters. First and second order passive and active filters. Butterworth and Chebyshev filter responses. Audio frequency active filter synthesis using operational amplifiers. Introduction to frequency transformations and sensitivity.
Prerequisite: EE 2220 and EE 3331 or concurrent enrollment.
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EE 4300 - Microwave and RF Circuits
Credits: 3
Analysis and design of microwave and RF circuits with applications to communication and radar systems. Review of transmission line concepts and the Smith Chart, scattering parameters, microstrip lines, and matching networks. Analysis and design of microwave and RF amplifiers, oscillators, and mixers.
Dual Listed EE 5300 .
Prerequisite: EE 3150 or PHYS 1220 , EE 3331 or concurrent enrollment, or consent of instructor.
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EE 4330 - Electronic Systems Design
Credits: 4
Analog integrated circuits such as amplifiers (operational, instrumentation, isolation, video, transconductance, comparator, logarithmic and exponential); voltage regulators; analog multipliers and dividers; AC to DC converters; sample and hold circuits; digital to analog converters; analog to digital converters; function generators; phase locked loops. Includes design procedures for electronic systems implementing analog integrated circuits. Laboratory.
Former Course Number [4370]
Prerequisite: EE 2390 and EE 3331 .
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EE 4340 - Semiconductor Materials and Devices
Credits: 3
Physical properties of semiconductor materials and devices, including crystal lattices and energy bands, carrier generation, transport, and recombination. PN, metal-semiconductor, and heterojunction operation. Field Effect Transistors, including Metal Oxide Semiconductor (MOSFET), Junction ( JFET), MEtal Semiconductor (MESFET), and High Electron Mobility (HEMT) transistors. Bipolar Junction (BJT) and Heterojunction (HBT) Transistor operation.
Cross Listed PHYS 4340 .
Prerequisite: PHYS 1220 or PHYS 1320 .
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EE 4345 - Hardware Digital Signal Processing
Credits: 3
Hands-on introduction to real-time digital signal processing. Programming DSP algorithms using C on modern DSP hardware. Students gain deep understanding of fundamental DSP concepts by implementing selected applications including sampling, reconstruction, FIR and IIR filters, signal generation, and FFT. Hardware concepts include EDMA, memory maps, interrupts, buffered serial ports.
Prerequisite: EE 3220 .
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EE 4360 - VLSI Design
Credits: 3
Introduction to CMOS processing, MOS fundamentals including devices models; switching and timing; analog subcircuits and amplifiers; inverters and CMOS gates; concept of standard cells and fully custom design; use of SPICE, digital simulation, and chip layout and verification software.
Prerequisite: EE 2390 , and EE 3331 or concurrent enrollment.
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EE 4390 - Microprocessors
Credits: 3
Design of microcomputers, controllers and instruments which use microprocessors. Semiconductor memory design, CPU architecture, bus structure and timing, input-output interfaces and devices, assembly language programming, assemblers, compilers, editors and simulators. Emphasizes design techniques. Laboratory.
When Offered (Normally offered once a year)
Prerequisite: EE 2390 .
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EE 4440 - Communication Theory
Credits: 3
Amplitude and angle modulation and demodulation; digital baseband and carrier communication systems; performance of communication systems; and current topics in communication systems.
When Offered (Normally offered once a year)
Prerequisite: EE 3220 and EE 4220 .
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EE 4490 - Hardware Descriptive Language (HDL) Digital Design
Credits: 3
Hardware Description Language design of digital systems. Industrial CAD tools are used to produce a functional description of hardware that is both simulated and then synthesized into hardware. Methods to describe both combinational logic and synchronous devices are given. Devices such as CPLDs and FPGAs are targeted in this design process. Emphasizes design techniques.
Prerequisite: EE 2390 .
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EE 4510 - Power Systems
Credits: 3
Electric power distribution and transmission. Distribution systems, transmission line calculations, installation and protection; substations, corona, protective relaying and carrier current communication and telemetering. Introduction to system stability studies.
Prerequisite: ES 2210 and EE 3510 .
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EE 4590 - Real Time Embedded Systems
Credits: 3
Emphasizes a systems approach to real time embedded systems. Students are expected to apply methodical system design practices to designing and implementing a microprocessor-based real time embedded system. Students employ a robot-based educational platform to learn the intricacies of real time embedded systems, distributed processing, and fuzzy logic. Students learn processor input/output interfacing techniques. Students use state-of-the-art design and troubleshooting tools.
Dual Listed EE 5590 .
Prerequisite: EE 4390 .
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EE 4620 - Automatic Control Systems
Credits: 3
Control theory and design methods focused on application. Feedback. Performance limits. Routh-Hurwitz, root locus, Nyquist. Nonminimum-phase systems. State feedback. Proportional-Integral-Derivative control. Lead/lag. High-order compensation. Discrete controllers.
Prerequisite: EE 2220 or ME 3020 .
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EE 4621 - Honors Automatic Control Systems
Credits: 3
Control theory and design methods focused on application. Feedback. Performance limits. Routh-Hurwitz, root locus, Nyquist. Nonminimum-phase systems. State feedback. Proportional-Integral-Derivative control. Lead/lag. High-order compensation. Discrete controllers. Honors students will at the end of the semester design a high-performance control system for a sophisticated plant with realistic feedback limitations.
Prerequisite: EE 2220 or ME 3020 .
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EE 4800 - Problems in _____
Credits: 1-6
Max Credit (Max. 6)
Section 1 is individual study. Other sections are group study by seminar or class format. Features topics not included in regularly offered courses.
Prerequisite: consent of instructor.
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EE 4820 - Senior Design I
Credits: 2
Students choose a senior design project and complete the preliminary design. This stage of senior design includes investigation of alternative solutions that meet the project’s requirements, cost analysis, and building the prototype circuit. Periodic oral and written project progress reports are required.
When Offered (Offered fall semester only)
Prerequisite: EE 2220 , EE 2390 , and EE 3310 or concurrent enrollment, plus 6 hours of 4000 level EE/BE classes, or concurrent enrollment. COM2 must be passed with a C or better grade.
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EE 4830 - Senior Design II
Credits: 2
Students complete the senior design project partially designed in EE 4820 . The final result of the senior design project includes assembly of a PC board hardware that meets the project’s requirements and final report describing the design procedure, designed hardware and software, and results of final testing. Periodic oral and written project progress reports are required.
When Offered (Offered spring semester only)
Prerequisite: EE 4820 and selected courses in the area of the design project.
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EE 4870 - Computer Network Hardware
Credits: 4
Basic LANs, Ethernet LAN architecture, and classical Ethernet CSMA/CD MAC protocol. 10Mbps, 100 Mbps, and gigabit Ethernet architecture. Introduction to switching, queuing theory, architecture, design and performance analysis of switch fabrics. Architecture, design, algorithms and performance analysis of Routing. Cellular Networks. TCP/IP Protocol.
Prerequisite: EE 2390 .
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EE 4990 - Advanced Microprocessors
Credits: 3
Architecture and instruction set of Intel family of microprocessors; Intel System Development Kit and its monitor program; Microsoft Macro Assembler (MASM) and Visual C/C++ Express; modular programming; High level language compilers of object code; Interface design issues of peripheral devices to Personal Computer.
Prerequisite: EE 4390 .
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EE 5210 - Systems Theory
Credits: 3
Review of linear time-invariant systems theory. Laplace, Fourier, and Z-transforms. Introduction to complex variable theory and its application to integral transform inversion. State variable formulation of physical systems. Application of linear algebra and matrices to the analysis of finite-state constant differential systems. Controllability and observability.
Prerequisite: EE 4620 .
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EE 5300 - Microwave and RF Circuits
Credits: 3
Analysis and design of microwave and RF circuits with applications to communication and radar systems. Review of transmission line concepts and the Smith Chart, scattering parameters, microstrip lines, and matching networks. Analysis and design of microwave and RF amplifiers, oscillators, and mixers.
Dual Listed EE 4300 .
Prerequisite: EE 3150 or PHYS 1220 , EE 3331 or concurrent enrollment, or consent of instructor.
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EE 5330 - Advanced Electronic Systems Design
Credits: 3
Theory of errors. High accuracy: multiplexers; voltage references; sample and hold circuits. Amplifiers: programmable gain; high speed voltage feedback; current feedback. Noise in integrated circuits. Pulse code modulation ADC; sigma delta ADC; oversampling; undersampling. Analog and digital audio systems. CD players. Superheterodyne and digital receivers. Signal transmission and conditioning. Hardware design techniques.
Prerequisite: EE 4330 and EE 4210.
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EE 5340 - Advanced Semiconductor Material and Devices
Credits: 3
Advanced semiconductor materials and device concepts including noise in semiconductors, heterostructure and quantum fundamentals, high power materials and devices, high performance transistors including the MESFET, HEMT, and HBT. Also discusses GUNN and IMPATT diodes, Resonant Tunneling devices, and future computing devices based on the quantum properties of semiconductors.
Prerequisite: EE 4340 .
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EE 5350 - Optoelectronic Semiconductor Materials and Devices
Credits: 3
Optoelectronic properties of semiconductor materials and devices. Includes a review of the basic electronic properties of semiconductors materials, epitaxial growth, optical properties including absorption and emission of light, effects of quantum confinement and strain, and Heterostructures. Operation and optimization of basic optoelectronic devices including: photodetectors, LEDs Lasers, and modulators.
Prerequisite: EE 4340 .
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EE 5360 - Digital VLSI Design
Credits: 3
Digital building blocks, stick diagrams, CMOS cells and arrays, CMOS digital subsystems and systems. Chip design software such as layout, simulators and digital synthesis using HDL. Digital design verification and timing issues.
Prerequisite: EE 4360 .
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EE 5390 - Computer Architecture
Credits: 3
Examines the various methodologies used in the design of high-performance computer systems. Topics include CISC and RISC architecture and instruction sets, pipelining, instruction-level parallelism, memory hierarchy (including cache) design and computer networks.
Prerequisite: EE 4390 .
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EE 5400 - Introduction To Robotics
Credits: 3
Representation of pose using Euler angles, quaternions and homogeneous coordinate transformations. Forward and inverse kinematics of rigid body manipulators. Velocity and force transformation in a rigid robot using Jacobians. Trajectory generation using splines. Robotic vision for depth measurement. Analysis of actual robotic systems.
Prerequisite: MATH 2250 .
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EE 5410 - Neural and Fuzzy Systems
Credits: 3
Theory of feed forward and recurrent neural networks. Supervised and unsupervised learning theories. Fuzzy logic and systems. Associative memories. Matching and self-organizing networks. Application of neural and fuzzy systems.
Prerequisite: EE 3220 .
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EE 5430 - 3-D Computer Vision
Credits: 3
This course is intended to provide a mathematical framework for describing three dimensional imaging and computer vision. Topics include 3-D coordinate transforms, image formation, camera calibration, reconstruction from two views, SIFT detection, hidden Markov models, Markov random fields, and “bag-of-words” visual description.
Prerequisite: EE 4220 , MATH 2250 .
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EE 5450 - Topics in Robotics
Credits: 3
Topics vary between offerings, but include exponential coordinates for describing rigid motion, parallel machines, robotic vision, actuators and sensors, calibration, quaternions, motion planning, multifinger grasp dynamics, singularities, and singularity-free design, and limited-DOF machines.
Prerequisite: MATH 2250 senior or higher level standing and permission of the instructor.
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EE 5460 - Probabilistic Robotics
Credits: 3
Fundamental theory underlying the robust sensing and planning used in self-driving machines is developed. Topics covered are: Bayesian, Kalman, and Particle Filters; simple ground robot motion models; mobile robot localization; simultaneous localization and mapping; partially observable Markov decision processes.
Prerequisite: EE 4220 .
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EE 5490 - Convex Optimization
Credits: 3
Covers fundamentals of numerical convex optimization. These methods have potential applications in many fields, so the goal of the course is to develop the skills and background needed to recognize, formulate, and solve convex optimization problems. Covers convex sets, convex functions, convex optimization problems and applications.
Prerequisite: MATH 2250 and senior or higher level standing.
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EE 5590 - Real Time Embedded Systems
Credits: 3
Emphasizes a systems approach to real time embedded systems. Students are expected to apply methodical system design practices to designing and implementing a microprocessor-based real time embedded system. Students employ a robot-based educational platform to learn the intracacies of real time embedded systems, distributed processing, and fuzzy logic. Students learn processor input/output interfacing techniques. Students use state-of-the-art design and troubleshooting tools.
Dual Listed EE 4590 .
Corequisite: EE 4390 .
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EE 5600 - Statistical Signal Processing in:
Credits: 2-4
Max Credit (Max. 9)
Topics vary between offerings but include signal detection, feature extraction and pattern recognition, information theory and coding, spectral analysis, identification, speech processing, image processing, and seismic processing.
Prerequisite: EE 4220 .
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EE 5610 - Random Processing Theory I
Credits: 3
Introduction to statistical models. Applications of sampling theorems. Correlation functions and spectra. Shot noise and thermal noise. Introduction to measurements and computational techniques. Nonlinear random processes. Term papers on special problems.
Prerequisite: EE 4220 .
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EE 5620 - Digital Image Processing
Credits: 3
Methodologies and algorithms for processing digital images by computer. Includes gray level transformations, histogram analysis, spatial domain filtering, 2D Fourier transforms, frequency domain filtering, image restoration, and reconstruction of computer tomography (CT) medical images.
When Offered (Offered fall of even-numbered years)
Former Course Number [4530]
Prerequisite: EE 3220 or equivalent background.
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EE 5625 - Spectral Analysis
Credits: 3
Spectral estimation including nonparametric methods such as Welch and Blackman-Tukey; modern parametric methods for AR, MA and ARMA spectra including Yule-Walker and Levinson-Durbin. Parametric line spectral subspace methods including MUSIC and ESPRIT. Filterbank and spatial methods such as beamforming.
Prerequisite: EE 3220 , EE 4220 or equivalent.
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EE 5630 - Advanced Image Processing
Credits: 3
Introduces students to advanced aspects of image processing (IP), using specific applications to demonstrate these principles. Concepts such as medical imaging; color IP; wavelets and multiresolution IP; image compression; morphological IP; image segmentation, representation, description and understanding are covered.
Prerequisite: EE 5620 .
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EE 5640 - Adaptive Filters and Signal Processing
Credits: 3
Adaptive filtering including eigenanalysis, low-rank modeling, Wiener filters, linear prediction, steepest descent methods, least mean-squares and recursive least squares methods, adaptive beamforming. Performance, convergence, and stability issues. Realization techniques.
Prerequisite: EE 4220 .
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EE 5650 - Object and Pattern Recognition
Credits: 3
Introduces students to both fundamental and advanced aspects of object and pattern recognition, using specific applications to demonstrate these principles. Concepts such as Bayesian, maximum-likelihood, principal components, nonparametric, linear discriminant, multi-layer neural networks, etc., and the trade-offs and appropriateness of classification techniques are covered.
Prerequisite: EE 4220 .
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EE 5660 - System Identification
Credits: 3
Fundamental and advanced topics in identification of system models from measured data. A variety of model structures are studied such as ARX, ARMAX, and State Space. Both non-parametric and parametric identification techniques are investigated with applications to real world systems and data. Experiment design and model validation are also examined.
Prerequisite: EE 4220 .
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EE 5670 - Digital Image Formation
Credits: 3
This course introduces fundamental aspects of practical digital image formation, using specific applications to demonstrate these principles. Standard CCD and CMOS cameras (both still and video) and standard camera lens systems are assumed.
Prerequisite: EE 3220 or equivalent background.
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EE 5700 - Power Engineering
Credits: 2-6
Max Credit (Max. 6)
Design of transmission lines and distribution systems. Coordination studies. System stability studies, load distribution and dispatching. System interconnections. Correlation of machines and transmission systems.
Prerequisite: EE 3510 .
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EE 5740 - Digital Control Systems
Credits: 3
Mathematical models of digital control system components; Sample-and-Hold Device, A/D and D/A conversion, Pulse transfer function, Modified Z-transform; Jury’s and Routh-Hurwitz test, Bilinear Transformations, Nyquist Criterion, Root Locus; Frequency Domain Techniques (Bode Diagrams, Nichols Charts); Digital Control Design, Observers; DT state space representation; Sampling and Quanitization, Aliasing. Design Project.
Prerequisite: EE 4620 .
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EE 5770 - Non Linear Systems
Credits: 3
Time variable parameter systems, approximation methods for small nonlinearites. Phase-plane methods. The second method of Liapunov. Describing function. Optimum switched systems. Adaptive control systems.
Prerequisite: EE 4620 .
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EE 5880 - Problems In Electrical Engineering
Credits: 1-6
Max Credit (Max. 9)
A graduate special topics course in which advanced developments are studied. Section 1 is individual study. Other sections are primarily seminar format in which participants present reports on the subject under study.
Prerequisite: Prior approval of the instructor is required.
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EE 5885 - Special Topics in Electrical Engineering
Credits: 1-6
Max Credit (Max. 30)
Features topics not included in regularly offered classes. Normally offered in regular class lecture format; may include a lab component if appropriate.
Prerequisite: Prior approval of the instructor is required.
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EE 5890 - Reliability of Engineering Systems
Credits: 3
This course will cover general reliability modeling and evaluation; probability and stochastic processes; system modeling; methods of reliability assessment (state space, frequency balancing, cut-set and tie-set analysis, decomposition, Monte Carlo simulation); and reliability modeling and analysis of electric power systems: bulk power systems, distribution systems, and industrial systems.
Prerequisite: MATH 2310 with a grade of C or better.
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EE 5900 - Practicum in College Teaching
Credits: 1-3
Max Credit (Max. 3)
Work in classroom with a major professor. Expected to give some lectures and gain classroom experience.
Prerequisite: graduate status.
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EE 5920 - Continuing Registration: On Campus
Credits: 1-2
Max Credit (Max. 16)
Prerequisite: advanced degree candidacy.
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EE 5940 - Continuing Registration: Off Campus
Credits: 1-2
Max Credit (Max. 16)
Prerequisite: advanced degree candidacy.
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EE 5959 - Enrichment Studies:
Credits: 1-3
Max Credit (Max. 99)
Designed to provide an enrichment experience in a variety of topics.
Note: credit in this course may not be included in a graduate program of study for degree purposes.
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EE 5960 - Thesis Research
Credits: 1-12
Max Credit (Max. 12)
Designed for students who are involved in research for their thesis project. Also used for students whose coursework is complete and are writing their thesis.
Prerequisite: enrolled in a graduate degree program.
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EE 5980 - Dissertation Research
Credits: 1-12
Max Credit (Max. 48)
Designed for students who are involved in research for their dissertation project. Also used for students whose coursework is complete and are writing their dissertation.
Prerequisite: enrolled in a graduate level degree program.
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EE 5990 - Internship
Credits: 1-12
Max Credit (Max. 24)
Prerequisite: graduate standing.
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EDEL 1000 - Exploring Hot Topics in Education
Credits: 2
Academic, content-based course designed for first year students. Focuses on critical-thinking skills necessary to understand, analyze, and produce knowledge within the framework of educational inquiry.
USP Code [I,L< >(none)]
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EDEL 1010 - Field Experience for Prospective Elementary and Secondary Teachers
Credits: 1‑4
Introductory course in teacher education. Provides an overview of the theory and practice of what is required to become and be a teacher. An initial practicum is included.
Cross Listed EDSE 1010 .
When Offered (Offered based on sufficient demand and resources. )
Former Course Number [EDCI 1010]
Prerequisite: sophomore standing.
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EDEL 1200 - Introduction to Elementary Education
Credits: 3
This course is designed to introduce first-year elementary education majors to educational issues relevant to teaching, learning, curriculum, assessment, school politics, and special needs of students in elementary settings.
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EDEL 1430 - Life Science in the Elementary School
Credits: 1
Covers selection of basic life science concepts, materials and curricula appropriate for elementary school. This course parallels the content of LIFE 1020 and concurrent enrollment in LIFE 1020 is expected.
Former Course Number [EDCI 1430]
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EDEL 2000 - Undergraduate Seminar in (TOPIC)
Credits: 1-2
Max Credit (Max. 8)
Designed to discuss strategies and instructional activities used in content courses the students take and to be a linkage between what the prospective teachers study and what they will teach. It provides the opportunity to discuss appropriate activities, strategies and programs in a teaching area related to the content area being studied.
Cross Listed EDSE 2000 .
When Offered (Offered based on sufficient demand and resources)
Former Course Number [EDCI 2000]
Prerequisite: consent of instructor.
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EDEL 2140 - Teaching Literacy in the Elementary School
Credits: 3
Provides an acquaintance with basic assumptions underlying curriculum and processes in literacy and to give opportunity for selecting and using instructional materials.
Prerequisite: ENGL 1010 , sophomore standing, admitted into Elementary Education program.
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EDEL 2170 - Art in the Elementary School
Credits: 3
Provides a foundation for understanding art in order to facilitate the teaching of art and the integration of art education into the elementary school curriculum. Involves both applied reading and studio production. Attention is given to development of artistic skills and meaningful art experiences based on DBAE principles.
USP Code [CA< >(none)]
Former Course Number [EDCI 3170]
Prerequisite: junior classification,
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EDEL 2275 - Literature for Young Children
Credits: 3
Introduce major genres and conventions. Will develop critical skills for reading and writing about children’s literature and culture; interpretive skills to enrich the understanding of literature for readers
USP Code [CH< >(none)]
Prerequisite: ENGL 1010 and sophomore standing.
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EDEL 2280 - Literature for Children
Credits: 3
A survey course, the purpose of which is to prepare prospective elementary teachers and library-media specialists to provide knowledgeable service in the use of print and non-print materials for children. Includes study of evaluative criteria, wide reading, viewing and listening as well as discussion of literature for children.
USP Code [CH< >H]
Former Course Number [LIBS 2280]
Prerequisite: successful completion of ENGL 1010 , sophomore standing, education major.
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EDEL 3140 - Teaching Reading in the Elementary School
Credits: 2‑4
Provides an acquaintance with basic assumptions underlying curriculum and processes in reading and to give opportunity for selecting and using instructional materials.
When Offered (Offered based on sufficient demand and resources)
Former Course Number [EDCI 3140]
Prerequisite: junior standing,
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EDEL 3710 - Disciplinary/Genre-Based Literacy
Credits: 3
Introduction to instruction in genre-specific and disciplinary appropriate literacy practices, with a focus on characteristics of a variety of genres and disciplines and how those characteristics inform appropriate comprehension instruction.
Prerequisite: EDEL 2140 .
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EDEL 3720 - Literacy Difficulties: Assessment and Instruction
Credits: 3
Focuses on the causes of student difficulties with reading and writing and assessment and instruction for students with such difficulties.
Prerequisite: EDEL 2140 .
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EDEL 3724 - Elementary Science Education
Credits: 3
Max Credit 3
Includes content and pedagogy in teaching science in the elementary school. Addresses the following topics to encourage the development of scientific literacy: 1) Current national and state science standards; 2) science education pedagogical models; 3) curriculum; and 4) theory translated into instructional planning and practice.
Restricted Elementary Education Majors, ELSP Majors
Prerequisite: Students must have completed at least one of the three required science content courses with a grade of C or better.
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EDEL 4000 - Becoming a Reflective Practitioner: Practicum
Credits: 2
Part of Phase IIIa of the teacher education program. Practicum experience is integral to EDUC 4250 and must be taken concurrently.
Former Course Number [EDUC 4000]
Prerequisite: 2.500 cumulative GPA, successful completion of EDST 3100 (grade, interview and portfolio).
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EDEL 4109 - Elementary Humanities Education
Credits: 5
Content and pedagogy to develop the reflective practitioner of teaching humanities in the elementary school. The following themes are addressed: curriculum; theory translated into instructional planning and practice; practices that promote effective learning; behavior and relationships; and teaching strategies.
Former Course Number [EDUC 4109]
Prerequisite: 2.750 cumulative GPA; 2.500 content GPA; grade of C or better in EDST 3100 ; successful completion of specific content courses required in major; grade of C or better in EDST 2550; concurrent enrollment in EDEL 4309 and EDEL 4409 .
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EDEL 4309 - Elementary Literacy Education
Credits: 2-5
Max Credit (Max. 6)
Encompasses content and pedagogy to develop the reflective practitioner for teaching literacy in the elementary school. Addresses the following themes: curriculum; theory translated into instructional planning and practice; practices that promote effective learning; behavior and relationships; and teaching strategies.
Former Course Number [EDUC 4309]
Prerequisite: 2.750 cumulative GPA; 2.500 content GPA; Grade C or better in EDST 3100 , successful completion of specific content courses required in major; grade C or better in EDST 2550. Concurrent enrollment in EDEL 4109 and EDEL 4409 .
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EDEL 4409 - Elementary Math/ Science Education
Credits: 5
Max Credit (Max. 6)
Includes content and pedagogy in teaching math/science in the elementary school. Addresses the following themes: curriculum; theory translated into instructional planning and practice; practices that promote effective learning; behavior and relationships; and teaching strategies.
USP Code [WC< >(none)]
Former Course Number [EDUC 4409]
Prerequisite: 2.750 cumulative GPA; 2.500 content GPA; grade of C or better in EDST 3100 ; successful completion of specific content courses required in major; grade of C or better in EST 2550; concurrent enrollment in EDEL 4109 and EDEL 4309 .
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EDEL 4500 - Residency in Teaching
Credits: 1-16
Max Credit (Max. 24)
Comprises the final professional academic semester of the teacher education program. A full-time residency, including a period of being intensively mentored and coached, a period of independent teaching and a period of team teaching.
Cross Listed EDSE 4500 .
Former Course Number [EDUC 4500]
Prerequisite: 2.750 cumulative GPA, 2.500 GPA in major content courses, completion of all content courses, successful completion of Phase IIIa specific pedagogy and practicum, complete review of the prospective teacher’s record.
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EDEL 4740 - Field Studies in (TOPIC)
Credits: 1‑12
Offered only through extension services. Broad and flexible and can be utilized in numberous situations to meet local needs. Credit in this course is not applicable toward advanced degrees.
When Offered (Offered based on sufficient demand and resources)
Former Course Number [EDCI 4740]
Prerequisite: 6 hours of education.
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EDEL 4975 - Independent Study
Credits: 1-3
Max Credit (Max. 6)
Primarily for upper-division students who can benefit from independent study with minimal supervision. Given to allow interested students to pursue specific aspects of curriculum and instruction.
Cross Listed EDSE 4975 .
Former Course Number [EDCI 4975]
Prerequisite: 12 hours of education courses and consent of instructor.
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EDST 2200 - Practicum 2
Credits: 1
Max Credit 1
Proposed Crs Descript: Students will display an educator identity; develop skills in creating student-centered and culturally relevant/sustaining learning environments; apply ethical principles in service-learning activities; and collaborate in planning, implementing and reflecting on activities for learners. Students engage in classwork and at least 30 clock hours of practicum in educational settings.
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Engineering Science |
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ES 1000 - Orientation to Engineering Study
Credits: 1
Skills and professional development related to engineering. Involves problem solving, critical thinking and ethics, as well as activities to help transition to university environment. Required of all freshmen entering engineering curricula.
USP Code [I,L< >(none)]
Note: Students with credit in UNST 1000 may not receive credit for this course.
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ES 1002 - Introduction to Engineering Information Literacy
Credits: 0.5
Offers transfer students the opportunity to satisfy the College of Engineering and Applied Science requirements for the Information Literacy and the initial O component of the University Studies Program.
USP Code [L< >(none)]
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ES 1060 - Introduction to Engineering Problem Solving
Credits: 3
An overview of the methodology and tools used in the engineering profession for analyzing problems. Example problems are solved using spreadsheet tools and structured programming language. Laboratory.
Prerequisite: MATH 2200 or concurrent enrollment.
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ES 1061 - Engineering Problem Solving with Spreadsheets
Credits: 1
An introduction to engineering problem solving through the use of computer spreadsheets. Topics include functions, referencing, conditional statements, graphs, trendlines, and iterative solvers.
Prerequisite: MATH 1400 or MATH 1450 orACT Math Score of 25 or Math Placement Exam score of 4.
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ES 1062 - Introduction to Structured Programming
Credits: 1
Introduction to structured programming through the use of computer applications. Topics include built-in functions, user functions, logical operators, flowcharts, pseudo code, selection structures, repetition structures, and plotting.
Prerequisite: ES 1061 .
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ES 1063 - Graphical Communication and Solid Modeling
Credits: 1
An introduction to solid models and graphical communication. Topics include geometric relationships, solid parts, solid assemblies, constraints, orthogonal projection, multiview representation, dimensioning, and drawing annotation.
Prerequisite: MATH 1400 or MATH 1450 or ACT Math Score of 25 or Math Placement Exam score of 4.
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ES 1101 - First-Year Seminar
Credits: 3
USP Code [(none)< >FYS]
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ES 2110 - Statics
Credits: 3
Vector statics of particles and rigid bodies, including equilibrium in two and three dimensions, center of gravity, centroids, distributed loads, truss analysis, simple structures and machines, friction, and internal actions.
Prerequisite: MATH 2205 or concurrent enrollment.
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