Academic Calendar

Keys and Symbols Reference

Insight into electrical and computer engineering is gained through videos and the use of computer software to learn basic problem-solving skills. 

Fundamental programming concepts, including consideration of abstract machine models with emphasis on the memory hierarchy, basic programming constructs, functions, parameter passing, pointers and arrays, file I/O, bit-level operations, programming in the Linux environment, and lab. 

Prerequisite: (MATH 1220 or higher) or ACT Math =>25 or SAT Math Section =>590 or ACCUPLACER College-Level Math =>69. 

{Fall, Spring}

Basic elements and sources. Energy and power. Ohm's law and Kirchhoff's laws. Resistive networks, node and loop analysis. Network theorems. First-order and second-order circuits. Sinusoidal sources and complex representations: impedance, phasors, complex power. Three-phase circuits.

Prerequisite: ENG 120 or MATH 1522.

Pre- or corequisite: PHYS 1320.

{Fall, Spring}

Introduction to laboratory practices and the use of test equipment. Measurements on basic electrical components, dc and ac circuits using ohmmeters, voltmeters, ammeters and oscilloscopes. Circuit simulation.

Prerequisite: ENGL 1120 or ACT English =>29 or SAT Evidence-Based Reading and Writing =>700.

Pre- or corequisite: 203.

{Fall, Spring}

Analysis of balanced three-phase circuits. Laplace transform with applications to circuit analysis. Passive and active filters. Fourier series and Fourier transform analysis. The two-port circuits. 

Prerequisite: 203.

Pre- or corequisite: 300 or (MATH **314 and MATH **316).

{Fall, Spring} 

Introduction to elementary data structures, program design and computer-based solution of engineering problems. Topics include use of pointers, stacks, queues, linked lists, trees, graphs, software design methodology, programming in the Linux environment, and lab. 

Prerequisite: 131L or CS 152L.

{Fall, Spring}

Binary number systems. Boolean algebra. Combinational, sequential and register transfer logic. VHDL. Arithmetic/logic unit. Memories, computer organization. Input-output. Microprocessors.

Prerequisite: 131L or CS 152L.

{Fall, Spring}

First and second order Ordinary Differential Equations are solved with various methods including Laplace Transforms, matrices, eigenvalues and other techniques involving linear algebra. Applications will be emphasized using MATLAB.

Prerequisite: MATH 1522.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

Continuous and discrete time signals and systems; time and frequency domain analysis of LTI systems, Fourier series and transforms, discrete time Fourier series/transform, Z-transform, sampling theorem, block diagrams, modulation/demodulation and filters, Computer implementations. 

Prerequisite: 213 and 300.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

Introduction to diodes, bipolar and field-effect transistors. Analysis and design of digital circuits, gates, flip-flops and memory circuits. Circuits employing operational amplifiers. Analog to digital and digital to analog converters.

Prerequisite: 206L and 213.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Analysis, design, and characterization of linear circuits including operational amplifiers. Design of biasing and reference circuits, multistage amplifiers, and feedback circuits.

Prerequisite: **321L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

Design of software systems using modern modeling techniques. Relationship between software design and process, with emphasis on UML and its interface application code. Exposure to design patterns, software frameworks, and software architectural paradigms.

Prerequisite: 231L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

An introduction to data structures and algorithms. Topics include asymptotic notation recurrence relations, sorting, hash tables, basic priority queues, balanced search trees and basic graph representation and search.

Prerequisite: 231L and MATH **327.

Pre- or corequisite: **340.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

Course considers design principles, implementation issues, and performance evaluation of various software paradigms in an integrated computing environment. Topics include performance measurement and evaluation, program optimization for the underlying architecture, integration and security for large-scale software systems.

Prerequisite: 330.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Advanced combinational circuits; XOR and transmission gates; computer-based optimization methods; RTL and HDL; introduction to computer aided design; advanced sequential machines; asynchronous sequential machines; timing issues; memory and memory interfacing; programmable logic devices; and VLSI concepts.

Prerequisite: 238L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Introduction to probability, random variables, random processes, probability distribution/density functions, expectation, correlation, power spectrum, WSS processes, confidence internals, transmission through LTI, applications of probability. 

Prerequisite: 300.

Pre- or corequisite: **314L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall, Spring}

Amplitude/frequency modulation, pulse position/amplitude modulation, probabilistic noise model, AWGN, Rice representation, figure of merit, phase locked loops, digital modulation, introduction to multiple access systems.

Prerequisite: **314L and **340.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Computers and Microprocessors: architecture, assembly language programming, input/output and applications. Three lectures, 3 hours lab.

Prerequisite: 206L and 238L and **321L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall, Spring}

Introduction to the feedback control problem. Modeling of dynamic systems in frequency and time domains. Transient and steady-state response analyses. Stability concepts. Root-locus techniques. Design via gain adjustment. Frequency response techniques. Nyquist criterion, stability margins. 

Prerequisite: **314L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

Maxwell’s equations, plane wave propagation, waveguides and transmission lines, transient pulse propagation and elementary dipole antenna.

Prerequisite: 213 and MATH 2530 and PHYS 1320.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

Introduction to quantum mechanics, crystal structures, insulators, metals, and semiconductor material properties, PN junction, field effect devices. 

Prerequisite: 300 and PHYS 2310.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

Provides in-depth look at various elements of power systems including power generation, transformer action, transmission line modeling, symmetrical components, pf correction, real/quadrature power calculations, load flow analysis and economic considerations in operating systems.

Prerequisite: 213.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

(Also offered as CS 412)

This course is an introduction to the technical aspects of raster algorithms in computer graphics. Students will learn the foundational concepts of 2-D and 3-D graphics as they relate to real-time and offline techniques. Students will develop a video game as a final project to demonstrate the algorithms learned in class.

Prerequisite: **331 or CS 361L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Design methodology and development of professional project oriented skills including communication, team management, economics and engineering ethics. Working in teams, a proposal for a large design is prepared in response to an industrial or in-house sponsor.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering, and senior standing.

{Fall, Spring}

Continuation of 419. Students work in teams to implement 419 proposal. Prototypes are built and tested to sponsor specifications, and reports made to sponsor in addition to a Final Report and Poster Session presentation.

Prerequisite: 419

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering, and senior standing.

{Fall, Spring}

Design of advanced analog electronic circuits. BJT and MOSFET operational amplifiers, current mirrors and output stages. Frequency response and compensation. Noise. A/D and D/A converters.

Prerequisite: **322L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Advanced topics include: lC technologies, CAD tools, gate arrays, standard cells and full custom designs. Design of memories, PLA, I/0 and random logic circuit. Design for testability. 

Prerequisite: **321L and **338.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

Management and technical issues including business conduct and ethics related to the design of large engineering projects. Student teams will address the design, specification, implementation, testing and documentation of a large hardware/software project.

Prerequisite: **335.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

(Also offered as CS **481)

Fundamental principles of modern operating systems design, with emphasis on concurrency and resource management. Topics include processes, interprocess communication, semaphores, monitors, message passing, input/output device, deadlocks memory management, files system design.

Prerequisite: **331 or CS 341L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall, Spring}

Computer architecture; design and implementation at HDL level; ALU, exception handling and interrupts; addressing; memory; speed issues; pipelining; microprogramming; introduction to distributed and parallel processing; buses; bus protocols and bus masters. CAD project to include written and oral presentations.

Prerequisite: **338 and **344L.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

Bilateral Z transforms, region of convergence, review of sampling theorem, aliasing, the discrete Fourier transform and properties, analysis/design of FIR/IIR filters, FFT algorithms spectral analysis using FFT.

Prerequisite: MATH 1522.

(Also offered as CS **485)

Theoretical and practical study of computer networks, including network structures and architectures. Principles of digital communications systems. Network topologies, protocols and services. TCP/IP protocol suite. Point-to-point networks; broadcast networks; local area networks; routing, error and flow control techniques.

Prerequisite: 330.

Pre- or corequisite: **340.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

The course is an introduction to cellular telephone systems and wireless networks, drawing upon a diversity of electrical engineering areas. Topics include cellular concepts, radio propagation, modulation methods and multiple access techniques.

Prerequisite: 341.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

The VHDL hardware description language is used for description of digital systems at several levels of complexity, from the system level to the gate level. Descriptions provide a mechanism for documentation, for simulation and for synthesis.

Prerequisite: **338.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Introduction to design of feedback control systems. Design of compensators in the frequency and time domains. PID control and tuning. Digital implementation of analog controllers. Sensitivity and robust performance. Laboratory exercises using Matlab/Simulink and LabVIEW. 

Prerequisite: 345.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

This lecture/laboratory course provides essential fundamentals for rf, wireless and microwave engineering. Topics include: wave propagation in cables, waveguides and free space; impedance matching, standing wave ratios, Z- and S- parameters.

Prerequisite: 360.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

(Also offered as PHYC *463)

Electromagnetic theory of geometrical optics, Gaussian ray tracing and matrix methods, finite ray tracing, aberrations, interference and diffraction.

Prerequisite: PHYC **302.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

(Also offered as PHYC *464)

Resonator optics. Rate equations; spontaneous and stimulated emission; gas, semiconductor and solid state lasers, pulsed and mode-locked laser techniques.

Prerequisite: 360 or PHYC *406.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Aspects of antenna theory and design; radiation from dipoles, loops, apertures, microstrip antennas and antenna arrays.

Prerequisite: 360.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

An intermediate study of semiconductor materials, energy band structure, p-n junctions, ideal and non-ideal effects in field effect and bipolar transistors.

Prerequisite: **371.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

(Also offered as NSMS 574L)

Materials science of semiconductors, microelectronics technologies, device/circuit fabrication, parasitics and packaging. Lab project features small group design/fabrication/testing of MOS circuits.

Pre- or corequisite: **371.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Basic electro-optics and opto-electronics, with engineering applications. Interaction of light with matter. Introduction to optics of dielectrics, metals and crystals. Introductory descriptions of electro-optic, acousto-optic and magneto-optic effects and related devices. Light sources, displays and detectors. Elementary theory and applications of lasers, optical waveguides and fibers.

Prerequisite: **371.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

Electromagnetic theory and mechanical considerations are employed to develop models for and understanding of Transformers, Induction Machines and Synchronous Machines. Additionally, DC Machines are discussed.

Prerequisite: 381.

Pre- or corequisite: 360.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Introduces modern power conversion techniques at a lower level, dealing with basic structures of power converters and techniques of analyzing converter circuits. Students learn to analyze and design suitable circuits and subsystems for practical applications.

Prerequisite: **322L and 381.

Pre- or corequisite: **371.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Technical concepts of photovoltaics. Solar cell device level operation, packaging, manufacturing, designing phovoltaic system for stand-alone or grid-tied operation, some business-case analysis and some real-life scenarios of applicability of these solutions.

Prerequisite: 381.

Pre- or corequisite: **371.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

A detailed study of current and emerging power and energy systems and technologies. Including renewable energies, storage, Smart Grid concepts, security for power infrastructure. Software modeling of power systems and grids.

Prerequisite: 381.

Pre- or corequisite: 482 and 483 and 484.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Fall}

Analysis and design of practical power electronic circuits and grid or off-grid inverters. Operation and specification of power devices such as diodes, MOSFETS, IGBTs, SCRs, inductors, and transformers. Simulation of converters using SPICE.

Prerequisite: 381 and (482 or 582).

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

{Spring}

Professional practice under the guidance of a practicing engineer. Assignments include design or analysis of systems or hardware, or computer programming. A preliminary proposal and periodic reports are required. The engineer evaluates student’s work; a faculty monitor assigns grade (12 hours/week) (24 hours/week in summer session).

Offered on a CR/NC basis only.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering, and junior standing.

Registration for more than 3 hours requires permission of department chairperson.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

A special seminar open only to honors students. Registration requires permission of department chairperson.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

Open only to honors students.

Registration requires permission of the department chairperson and of the supervising professor.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering.

Restriction: admitted to B.S.Cp.E. Computer Engineering or B.S.E.E. Electrical Engineering, and senior standing.

State space representation of dynamical systems. Analysis and design of linear models in control systems and signal processing. Continuous, discrete and sampled representations. This course is fundamental for students in the system areas.

Introduction to the topic of optimization by the computer. Linear and nonlinear programming. The simplex method, Karmakar method, gradient, conjugate gradient and quasi-Newton methods, Fibonacci/Golden search, Quadratic and Cubic fitting methods, Penalty and Barrier methods.

This course will introduce the student to medical imaging modalities (e.g. MRI, Nuclear Imaging, Ultrasound) with an emphasis on a signals and systems approach. Topics will include hardware, signal formation, image reconstruction and application.

This course will be an introduction to signal and image processing methods for functional magnetic resonance imaging (fMRI) of the brain.

(Also offered as CS 512)

Covers image synthesis techniques from perspective of high-end scanline rendering, including physically-based rendering algorithms. Topics: radiometry, stochastic ray tracing, variance reduction, photon mapping, reflection models, participating media, advanced algorithms for light transport.

Linearization of nonlinear systems. Phase-plane analysis. Lyapunov stability analysis. Hyperstability and Popov stability criterion. Adaptive control systems. Adaptive estimation. Stability of adaptive control systems, backstepping and nonlinear designs.

Prerequisite: 500.

Theory and practice of feature extraction, including edge, texture and shape measures. Picture segmentation; relaxation. Data structures for picture description. Matching and searching as models of association and knowledge learning. Formal models of picture languages.

Decision functions and dichotomization; prototype classification and clustering; statistical classification and Bayes theory; trainable deterministic and statistical classifiers. Feature transformations and selection.

(Also offered as ME 419/519; NSMS 519) 

Lectures and laboratory projects on physical theory, design, analysis, fabrication, and characterization of micro and nanosystems. Special attention given to scaling effects involved with operation of devices at nano and microscale.

Advanced topics include: lC technologies, CAD tools, gate arrays, standard cells and full custom designs. Design of memories, PLA, I/0 and random logic circuit. Design for testability. 

Prerequisite: **321L and **338.

This course provides an introduction to the design of electronic systems that incorporate both hardware and software components.

Prerequisite: *443.

Design of advanced analog electronics circuits. BJT and MOSFET operational amplifiers, current mirrors and output stages. Frequency response and compensation. Noise. A/D and D/A converters.

This course provides an introduction to hardware security and trust primitives and their application to secure and trustworthy hardware systems.

This course will cover introductory material around technical cybersecurity in the internet of things. We will cover host-based attacks, network attacks, fuzzing, web attacks, and defenses thereof.

Students in this course should have an undergraduate-level (or equivalent) education in Computer Engineering or Computer Science.

This course provides an introduction to the techniques and technologies used in cloud computing. It consists of independent and intensive hands-on labs. The course emphasizes on architecture and the development of Web services.

Prerequisite: *440 or 540.

This course is an introduction to the Internet of Things (IoT), focusing on integration with cloud technologies, common IoT communication protocols, and embedded Linux.

Fundamentals of 2D signals and systems. Introduction to multidimensional signal processing. Applications in digital image processing. Image formation, representation and display. Linear and nonlinear operators in multiple dimensions. Orthogonal transforms representation and display. Image analysis, enhancement, restoration and coding. Students will carry out image processing projects.

(Also offered as PHYC 534)

Plasma parameters, adiabatic invariants, orbit theory, plasma oscillations, hydromagnetic waves, plasma transport, stability, kinetic theory, nonlinear effects, applications.

Satellite communication systems provide vital and economical fixed and mobile communication services over large coverage areas. In this course, students learn the fundamentals and techniques for the design and analysis of satellite communication systems.

Prerequisite: 341 and (560/460 or 569/469).

Course considers design principles, implementation issues and performance evaluation of system software in advanced computing environments. Topics include resource allocation and scheduling, information service provider and manipulation, multithreading and concurrency, security for parallel and distributed systems.

Computational aspects of engineering problems. Topics include machine models and computability, classification and performance analysis of algorithms, advanced data structures, approximation algorithms, introduction to complexity theory and complexity classes.

Course provides an in-depth analysis of computer architecture techniques. Topics include high speed computing techniques, memory systems, pipelining, vector machines, parallel processing, multiprocessor systems, high-level language machines and data flow computers.

Hilbert spaces, orthogonal basis, generalized sampling theorem, multirate systems, filterbanks, quantization, structures for LTI systems, finite word-length effects, linear prediction, min/max phase systems, multiresolution signal analysis.

Research, design and implementation of high-performance computer networks and distributed systems. High speed networking technologies, multimedia networks, enterprise network security and management, client/server database applications, mobile communications and state-of-the-art internetworking solutions.

Axiomatic probability theory, projection theorem for Hilbert spaces, conditioned expectations, modes of stochastic convergence, Markov chains, mean-square calculus, Wiener filtering, optimal signal estimation, prediction stationarity, ergodicity, transmission through linear and nonlinear systems, sampling.

Elements of information theory and source coding, digital modulation techniques, signal space representation, optimal receivers for coherent/non-coherent detection in AWGN channels, error probability bounds, channel capacity, elements of block and convolutional coding, fading, equalization signal design.

Prerequisite: 541.

Hermite, Smith and Smith-McMillan canonic forms for polynomial and rational matrices. Coprime matrix-fraction representations for rational matrices. Bezout identity. Poles and zeros for multivariable systems. Matrix-fraction approach to feedback system design. Optimal linear-quadratic-Gaussian (LQG) control. Multivariable Nyquist stability criteria.

Prerequisite: 500.

An introduction to information theory. Fundamental concepts such as entropy, mutual information, and the asymptotic equipartition property are introduced. Additional topics include data compression, communication over noisy channels, algorithmic information theory, and applications.

Prerequisite: 340 or equivalent.

(Also offered as PHYC 554)

Diffractions theory, coherence theory, coherent objects, and incoherent imaging, and polarization.

Mathematical foundations for engineering electromagnetics: linear analysis and method of moments, complex analysis and Kramers-Kronig relations, Green’s functions, spectral representation method and electromagnetic sources.

Principles of pulsed power circuits, components, systems and their relationship to charged particle acceleration and transport. Energy storage, voltage multiplication, pulse shaping, insulation and breakdown and switching. Single particle dynamics and accelerator configurations.

Overview of physics of particle beams and applications at high-current and high-energy. Topics include review of collective physics, beam emittance, space-charge forces, transport at high power levels, and application to high power microwave generation.

Prerequisite: 557.

(Also offered as PHYC 559)

Students do research and/or development work at a participating industry or government laboratory in any area of optical science and engineering.

This lecture/laboratory course provides essential fundamentals for rf, wireless and microwave engineering. Topics include: wave propagation in cables, waveguides and free space; impedance matching, standing wave ratios, Z- and S- parameters.

Maxwell’s equations, electromagnetic interaction with materials, the wave equation, plane wave propagation, wave reflection and transmission, vector potentials and radiation equations, electromagnetic field theorems, wave propagation in anisotropic media and metamaterials, period structures, dielectric slab waveguides.

Prerequisite: 555.

Course will cover rf design techniques using transmission lines, strip lines and solid state devices. It will include the design of filters and matching elements required for realizable high frequency design. Amplifiers, oscillators and phase lock loops are covered from a rf perspective.

Computational techniques for partial differential and integral equations: finite-difference, finite-element, method of moments. Applications include transmission lines, resonators, waveguides, integrated circuits, solid-state device modeling, electromagnetic scattering and antennas.

Prerequisite: 561.

Optical propagation in free space, colored dielectrics, metals, semiconductors, crystals, graded index media. Radiation and guided modes in complex structures. Input and output coupling, cross-coupling mode conversion. Directional couplers, modulators, sources and detectors.

Optical waveguides, optical fiber attenuation and dispersion, power launching and coupling of light, mechanical and fiber lifetime issues, photoreceivers, digital on-off keying, modulation methods, SNR and BER, QAM and M-QAM, modulation methods, SNR, and BER, intersymbol interference (impact on SNR), clock and data recovery issues, point-to-point digital links, optical amplifiers theory and design (SOA, EDFA, and SRA), simple WDM system concepts, WDM components.

Avalanche photodiode technologies and concepts; linear-mode and Geiger-mode applications; system-level performance metrics; statistics of the multiplication factor and buildup time; device modeling; device design, fabrication and characterization.

Prerequisite: *471 or *475.

Theory and operation of optoelectronic semiconductor devices; semiconductor alloys, epitaxial growth, relevant semiconductor physics (recombination processes, heterojunctions, noise, impact ionization), analysis of the theory and practice of important OE semiconductor devices (LEDs, Lasers, Photodetectors, Solar Cells).

Prerequisite: 471 or 572.

Sigmon

Crystal properties, symmetry and imperfections. Energy bands, electron dynamics, effective mass tensor, concept and properties of holes. Equilibrium distributions, density of states, Fermi energy and transport properties including Boltzmann’s equation. Continuity equation, diffusion and drift of carriers.

Prerequisite: *471.

(Also offered as NSMS 574L)

Materials science of semiconductors, microelectronics technologies, device/circuit fabrication, parasitics and packaging. Lab project features small group design/fabrication/testing of MOS circuits.

Pre- or corequisite: **371.

Review of the evolution of VLSI technology and basic device physics. Detailed analysis of MOSFET devices, CMOS device design including device scaling concepts.

Prerequisite: 471 or 572.

Carrier generation and recombination, photon generation and loss in laser cavities, density of optical modes and blackbody radiation, radiative and non-radiative processes, optical gain, spontaneous and stimulated emission, Fermi’s golden rule, gain and current relations, characterizing real diode lasers, dynamic effects, rate equation; small signal and large signal analysis, radiative intensity noise and linewidth.

Prerequisite: 572.

(Also offered as BME, NSMS 581)

Intended for students planning careers combining engineering, materials science, and biomedical sciences. Covers synthesis, nanocrystals characterization, biofunctionalization, biomedical nanosensors, FRET-based nanosensing, molecular-level sensing/imaging, and applications in cell biology, cancer diagnostics and therapy, neuroscience, and drug delivery.

Electromagnetic theory and mechanical considerations are employed to develop models for and understanding of Transformers, Induction Machines and Synchronous Machines. Additionally, DC Machines are discussed.

Prerequisite: 381.

Pre- or corequisite: 360.

Introduces modern power conversion techniques at a lower level, dealing with basic structures of power converters and techniques of analyzing converter circuits. Students learn to analyze and design suitable circuits and subsystems for practical applications.

Prerequisite: **322L and 381.

Pre- or corequisite: **371.

Technical concepts of photovoltaics. Solar cell device level operation, packaging, manufacturing, designing phovoltaic system for stand-alone or grid-tied operation, some business-case analysis and some real-life scenarios of applicability of these solutions.

Prerequisite: 381.

Pre- or corequisite: **371.

A detailed study of current and emerging power and energy systems and technologies. Including renewable energies, storage, Smart Grid concepts, security for power infrastructure. Software modeling of power systems and grids.

Prerequisite: 381.

Pre- or corequisite: 582 and 583 and 584.

Analysis and design of practical power electronic circuits and grid or off-grid inverters. Operation and specification of power devices such as diodes, MOSFETS, IGBTs, SCRs, inductors, and transformers. Simulation of converters using SPICE.

Prerequisite: 381 and (582 or 482).

Advanced topics in complex systems including but not limited to biological systems social and technological networks, and complex dynamics.

(Also offered as ANTH 620, BIOL 520, CS 520, STAT 520)

Varying interdisciplinary topics taught by collaborative scientists from UNM, SFI, and LANL.

Advanced topics including but not limited to computational, mathematical, multi-scale, and spatial statistical methods for multi-dimensional signal processing, multi-spectral imagery, image and video processing.

Advanced topics including advanced computer architecture, networks, distributed computing, large-scale resource management, high-performance computing and grid-based computing.

Prerequisite: 537.

Advanced topics including advanced computer architecture, networks, distributed computing, large-scale resource management, high-performance computing and grid-based computing.

Prerequisite: 538.

Hypothesis testing; Karhunen-Loeve representation; optimal detection of discrete- and continuous-time signals; ML, MMSE, and MAP estimation; sufficient statistics, estimation error bounds; Wiener and Kalman-Bucy filtering; detection/receivers for multiuser and multipath fading channels.

Prerequisite: 541.

Topics include advanced antenna theory, electromagnetic scattering and propagation, electromagnetic compatibility, low temperature plasma science, advanced plasma physics, and other subjects in applied electromagnetics.

Prerequisite: 561.

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