INTRODUCTION TO ELECTRICAL ENGINEERING
Introduction to basic concepts of electrical engineering, including use of variety of electrical engineering instruments, with emphasis on engineering ethics, elementary design problems.

ENGINEERING USE OF COMPUTERS
PREREQUISITE: MTH 184
COREQUISITE: MTH 251
Introduction to use of computers to model systems and to solve engineering problems, including electrical and interdisciplinary problems. Emphasis on numerical models and methods using FORTRAN as well as roots of equations, matrix operations, integration, etc.

ELECTRICAL NETWORK THEORY I
PREREQUISITE: PHY 251
COREQUISITE: MTH 251
Analysis of electrical networks in terms of the forced response and the natural response. Methods include nodal and mesh analysis, superposition and Thevenin's theorem, from DC to steady state sinusoidal responses, and phasor analysis. SPICE. Design project required.

ELECTRICAL NETWORK LAB I
COREQUISITE: EEN 230
Familiarization with oscilloscope, other instruments and test equipment in the experimental verification of basic electric circuit theory. Modeling and validation of models, documentation of experimental work, report preparation.
Introductory design project.

ELECTRICAL NETWORK THEORY II
PREREQUISITE: EEN 230
Introduction to the application of unit-step as forcing function, power and energy, polyphase circuits, complex frequency and frequency responses, transformers and other two-part networks, linear network analysis using Laplace transform methods, and fourier analysis, etc., and SPICE. Design
project required.

ELECTRICAL NETWORK LAB II
COREQUISITE: EEN 232
Familiarization with AC measurements, AC transient circuit experiments, use of good measurement and data collection techniques. Design procedures are developed as appropriate.

MATERIAL SCIENCE
PREREQUISITE: CHM 221, PHY 251
Introduction to mechanics of materials design project with emphasis on following topics: atomic order and disorder in solids; single phase materials; molecular phases; ceramic composites, conductors and semiconductors, magnetic, dielectric and optical materials.

DIGITAL ELECTRONICS LOGIC DESIGN
Study of number systems, binary arithmetic and codes, Boolean algebraic simplification, Quine-McCluskey method, and Karnaught Maps, Diode and transistor logic flip-flops, sequential networks, state tables, state assignments, etc.

ENGINEERING ELECTRONICS I
PREREQUISITE: EEN 232
Introduction to the theory and application of electronic devices; linear equivalent circuits, amplifier and bias considerations, frequency response of amplifiers, and integrated circuits, as well as the concept of electronic circuit
design to meet prescribed specifications. Computer modeling of this employing SPICE or its equivalent.

ENGINEERING ELECTRONICS LAB I
COREQUISITE: EEN 309
Laboratory practical examination, project, report preparation, and oral presentation required. Major emphasis is directed toward electronic circuit design.

ENGINEERING ELECTRONICS II
PREREQUISITE: EEN 309
Equivalent circuits of devices, "H" parameters, frequency and transient response of small signal amplifiers, multistage amplifiers, feedback in electronic circuits, power amplifiers and a more advanced treatment of linear integrated circuits. Computer modeling of electronic systems using SPICE or its
equivalent; project required.

ENGINEERING ELECTRONICS LAB II
COREQUISITE: EEN 310
Frequency and transient response of amplifiers, feedback amplifiers, oscillators, power amplifiers, and linear integrated circuits, including operational amplifiers, with emphasis on electronic design. Laboratory practical examination, project, report preparations, and oral presentation required.

SIGNALS & SYSTEMS I
PREREQUISITES: EEN 232; MTH 372
Introduction to system representations and analysis; representation of signals, methods of linear system analysis using convolution, Fourier series and transforms, and Ztransforms. Formulation and solution of state-variable
equations as well as introduction to amplitude and analog pulse modulation. Design project required.

ELECTROMAGNETIC FIELD THEORY
PREREQUISITES: MTH 372; EEN 232; PHY 250, 251
Study of static, electric, and magnetic fields as well an introduction to Maxwell's equation and applications.

MICROPROCESSORS
PREREQUISITES: EEN 141, 444; Permission of the
Instructor
Introduction to the structure of microprocessors and microcomputers. Representation of information in the computer logic and storage devices. Processor structure registers, transfer of information, and control programming in microcomputers. I/O structure and auxiliary electronics. Interrupt structures, direct memory access. LSI and its implication for microcomputers. Arithmetic operations. Different microcomputer architectures.

MICROPROCESSORS LAB
COREQUISITE: EEN 448
Procedures for reliable digital microcomputer design; understanding manufacturer's specifications, use of special test equipment; characteristics of consumer SSI, MSI, and LSI devices; assembling, testing, and simulation of design, construction procedures, several single-period laboratory
exercises, several design projects, and application of microprocessor in digital design.

DIGITAL INTEGRATED CIRCUITS
PREREQUISITES: EEN 231, EEN 301
COREQUISITE: EEN 302
Study of digital CMOS circuits; MOSFET transistor; combinational circuits; sequential circuits; design simple digital gates and circuits at the transistor level; simulate designed circuits to verify performance.

COMMUNICATIONS ENGINEERING I
PREREQUISITE: EEN 384
Study of amplitude, frequency, and phase, including modulation, sampling and pulse modulation; time division, multiplexing detection and frequency mixing, filters, receivers, transmitters and noise analysis.

ELECTRONICS ENGINEERING SEMINAR
PREREQUISITE: Senior Standing in Electronics Engineering or Approval of the Instructor
Introduction to various aspects of engineering practice and engineering ethics.

ENGINEERING ECONOMICS
PREREQUISITE: MTH 251
Introduction to economic principles and techniques used in making decisions about the acquisition and retirement of capital goods by government and industry. Special emphasis on methods of analysis based on the mathematics of compound interest. Study of time value of money, annual cost, present worth, future value, capitalized cost along with break-even analysis, valuation, and depreciation, and ethics in economics.

CONTROL SYSTEMS ANALYSIS
PREREQUISITES: EEN 302, 302L
Introduction to control systems; mathematical models; feedback control systems characteristics and stability, root locus, frequency responses; stability in the frequency domain analysis.

SENIOR PROJECT
PREREQUISITE: Senior Standing in Electronic Engineering, Consent of the Instructor
Planning, designing, and executing various experimental projects. Emphasis on use of computer simulation to aid in the design process. Preparation of report and oral presentation is required. Formal design topics covered.

SENIOR PROJECT STAGE II
PREREQUISITE: EEN 498
Final hardware, software of design project completed. Presentation and final report required.

Electronic Systems
PREREQUISITE: Graduate Course
3 credits
Explores frequency response and stability of feedback electronic circuits; analysis and design of analog integrated circuits such as operational amplifiers, multipliers, phase locked loops, A/D and D/A converters and their application to instrumentation and control.

ANALOG INTEGRATED CIRCUITS
PREREQUISITE: Graduate Course
3 credits
Topics include design and analysis of analog integrated circuits; feedback amplifier analysis and design, including stability, compensation; layout and floor planning issues associated with mixed-signal IC design; selected applications of analog circuits such as A/D and D/A converters, amplifiers, current sources; extensive use of CAD tools for design entry, simulation; and creation of an analog integrated circuit design project.

ADVANCED DIGITAL DESIGN
PREREQUISITE: Graduate Course
3 credits
Analyze digital hardware and design; digital system organization; digital technologies; and testing. Introduction to digital design issues in the context of VLSI systems. Introduction to a design methodology that encompasses the range from behavior models to circuit simulation. A hardware design project is included.

MICROCONTROLLERS
PREREQUISITE: Graduate Course
3 credits
A hands-on approach to microprocessor and peripheral system programming, I/O interfacing, and interrupt management. A sequence of projects requiring the programming and integration of a microcontroller- based system in conducted. Project assignments require a microcontroller evaluation board and accessories supplied by the student.

COMMUNICATIONS SYSTEMS ENGINEERING
PREREQUISITE: Graduate Course
3 credits
To present the fundamentals of modern digital communication systems and evaluate their performance. Topics include a brief review of random processes theory, principles of optimum receiver design for discrete and continuous messages, matched filters and correlation receivers, signal design, and error performance for various signal geometries. The course also treats aspects of system design such as propagation, link power calculations, noise models, RF components, and antennas.

VLSI SYSTEMS DESIGN
PREREQUISITE: Graduate Course
3 credits
Introduction, design tools, the CMOS transistor, fabrication, layout and design rules implementing logic in CMOS, design of adders, dynamic CMOS logic high speed adders and ALUs, CMOS transistor theory, circuit characterization, delay estimation, CMOS performance optimization, clocking strategies, other building blocks and memory, control design, electrical effects, introduction to design verification, introduction to testing, design of high performance circuits, low power design high performance processor design, introduction to timing verification, introduction to formal verification, verification of large designs, design for testability, design of asynchronous circuits, future trends.

ANALOG INTEGRATED CIRCUITS
PREREQUISITE: Graduate Course
RESEARCH METHODS 1 credit

COMPUTER GRAPHICS IN ENGINEERING
PREREQUISITE: Graduate Course
3 credits
Analyzes display devices, line and circle generators; clipping and windowing; data structures; 2-D picture transformations; hidden line and surface algorithm; shading algorithms; free form surfaces; color graphics; 3-D picture transformation.

DIGITAL IMAGE PROCESSING
PREREQUISITE: Graduate Course
3 credits
An introduction to the theory of multidimensional signal processing and digital image processing, including key applications in multimedia products and services, and telecommunications.

ADVANCED COMPUTER VISION
PREREQUISITE: Graduate Course
3 credits
Studies automated reconstruction of imaged objects and computer interpretation of imaged scenes; techniques for three-dimensional object reconstructionl computing motion parameters from sequences of images; computational frameworks for vision tasks such as regularization, and stochastic relaxation; approaches for autonomous navigation; depth image analysis; novel image techniques and applications; parallel architectures for computer vision.

NEURAL NETWORKS
PREREQUISITE: Graduate Course
3 credits
Provides a working knowledge of the fundamental theory, design and applications of Artificial Neural Networks (ANN). Topics include the major general architectures: backpropagation, competitive learning, counterpropagation, etc. Learning rules such as Hebbian, Widrow-Hoff, generalized delta, Kohonen linear and auto associators, etc., are presented. Specific architectures such as the Neocognitron, Hopfield-Tank, etc., are included. Hardware implementation is considered.

ELECTROMAGNETIC FIELD THEORY
PREREQUISITE: Graduate Course
3 credits
Topics include techniques for solving and analyzing engineering electromagnetic systems; relation of fundamental concepts of electromagnetic field theory and circuit theory, including duality, equivalence principles, reciprocity, and Green's functions; applications of electromagnetic principles to antennas, waveguide discontinuities, and equivalent impedance calculations.

ADVANCED DIGITAL SIGNAL PROCESSING
PREREQUISITE: Graduate Course
3 credits
Topics include a review of matrix analysis tools, the elements of estimation theory, and the Cramer-Rao Bound; spectral estimation, especially nonparametric methods; parametric methods for rational and line spectra; spatial spectra analysis and adaptive filtering, especially least measures (LMS) and recurvsive least squares (RLS) algorithms.

COMPUTER ARCHITECTURE
PREREQUISITE: Graduate Course
3 credits
An introduction to computer architectures. Analysis and design of computer subsystems including central processing units, memories and input/output subsystems. Important concepts include data paths, computer arithmetic, instruction cycles, pipelining, virtual and cache memories, direct memory access and controller design.

COMPUTER COMMUNICATIONS
PREREQUISITE: Graduate Course
3 credits
Analysis and modeling of computer data communication systems. Topics include modulation, transmission over voice-grade circuits, methods for increasing channel capacity, packet and asynchronous transfer mode (ATM) switching, and modes of local area networks (LANs). Additional topics include information codes, error correction, reliability, data compression and queuing theory.

MICROCOMPUTER FOR REAL-TIME APPLICATIONS
PREREQUISITE: Graduate Course
3 credits
Introduction to microprocessors, Structures of 80X86 Processors. Microcomputer programming methodologies. Memory and input/output interfacing Peripheral devices. PC based system for data acquisition and control. Introduction to DOS operating system. Assembly language programming Microcomputers for monitoring and control of real-time system. Trends in parallel processing architecture and operating system for multi-processor microcomputers

MICROCOMPUTER SYSTEM DESIGN II
PREREQUISITE: Graduate Course
3 credits
Design of microcomputer systems based on 16 bit processors like 8086, 80286 and MOTOROLA 68000. Multiprocessing, Co processing concepts. Interrupt and DMA Controllers. Introduction to PCs, single user operating systems. The MSDOS, System designs with PC as a control computer.

DIGITAL SIGNAL PROCESSING
PREREQUISITE: Graduate Course
3 credits
An introduction to the Analysis and Design of discrete time systems. Time Domain Analysis, Solution of difference equations, z-transform analysis, Discrete Fourier Transforms, Sampling of Continuous Signals, Digital Filter Design and State Variable Representations for discrete time systems.

DIGITAL COMMUNICATIONS
PREREQUISITE: Graduate Course
3 credits
An in-depth treatment of digital communications techniques and performance. Topics include performance of uncoded systems such as Mary, PSK, PFK, and multi-level signaling; orthogonal and bi-orthogonal codes; block and convolutional coding with algebraic and maximum likelihood decoding; burst correcting codes; efficiency and bandwidth; synchronization for carrier reference and bit timing; baseband signaling techniques and intersymbol interference; and equalization.

PERFORMANCE ANALYSIS OF COMMUNICATION NETWORKS
PREREQUISITE: Graduate Course
3 credits
Topologies arising in communication networks, Queuing Theory, Markov Chains and Ergodicity, theory of regenerative processes, routing algorithms, multi-access and random access transmission algorithms, mathematical analysis for throughput and delay analyses and evaluations, performance evaluation, performance monitoring, LANS and interactive LANS.

COMPUTER NETWORKS
PREREQUISITE: Graduate Course
3 credits
Network protocols, Internet routing/addressing, network design and management, performance modeling and analysis, voice and data converged networks, telecommunication network architectures and technologies, encryption and security.

OPTICS AND LASERS
PREREQUISITE: Graduate Course
3 credits
Reviews the electromagnetic principles of optics; Maxwell’s equations; reflection and transmission of electromagnetic fields at dielectric interfaces; Gaussian beams; interference and diffraction; laser theory with illustrations chosen from atomic, gas, and semiconductor laser systems; detectors including photomultipliers and semiconductor-based detectors; and noise theory and noise sources in optical detection.

OPTICS FOR OPTOELECTRONICS
PREREQUISITE: Graduate Course
3 credits
Covers the electromagnetic applications of Maxwell'sequations in photonic devices such as the dielectric waveguide, fiber optic waveguide and Bragg optical scattering devices. Includes the discussion of the exchange of electromagnetic energy between adjacent guides. Ends with an introduction to nonlinear optics, which include second harmonicgeneration and soliton waves.

SOLID STATE DEVICES
PREREQUISITE: Graduate Course
3 credits
Introduces semiconductor device operation based on energy bands and carrier statistics. Describes the operation of p-n junctions and metal semiconductor junctions. Extends this knowledge to descriptions of bipolar and field effect transistors, and other microelectronic devices.

FOURIER OPTICS
PREREQUISITE: Graduate Course
3 credits
Presents the fundamental principles of optical signal processing. Begins with an introduction to two-dimensional spatial, linear systems analysis using Fourier techniques. Includes scalar diffraction theory, Fourier transforming and imaging properties of lenses and the theory of optical coherence. Applications of wavefront-reconstruction techniques in imaging. Applications of Fourier Optics to analog computing.

LINEAR CONTROL SYSTEMS
PREREQUISITE: Graduate Course
3 credits
Studies the dynamics of linear, closed-loop systems; mechanical, electrical, hydraulic, and other servo systems. Analysis of transfer functions; stability theory. Considers compensation methods.

DIGITAL CONTROL SYSTEMS
PREREQUISITE: Graduate Course
3 credits
Includes sampling processes and theorems, z-transforms, modified transforms, transfer functions, and stability criteria; analysis in frequency and time domains; discrete state models of systems containing digital computers. Some in-class experiments using small computers to control dynamic processes.

LINEAR STATE-SPACE CONTROL SYSTEMS
PREREQUISITE: Graduate Course
3 credits
A comprehensive treatment of the theory of linear state space systems, focusing on general results which provide a conceptual framework as well as analysis tools for investigation in a wide variety of engineering contexts. Topics include vector spaces, linear operators, functions of matrices, state space description, solutions to state equations (time invariant and time varying), state transition matrices, system modes and decomposition, stability, controllability and observability, Kalman decomposition, system realizations, grammians and model reduction, state feedback, and observers.

OPTIMAL CONTROL SYSTEMS
PREREQUISITE: Graduate Course
3 credits
Analyzes the development and utilization of Pontryagin's maximum principle, the calculus of variations, Hamilton-Jacobi theory and dynamic programming in solving optimal control problems; performance criteria including time, fuel, and energy; optimal regulators and trackers for quadratic cost index designed via the Ricatti equation; introduction to numerical optimization techniques.

MULTIVARIABLE ROBUST CONTROL SYSTEMS
PREREQUISITE: Graduate Course
3 credits
Studies advanced topics in modern multivariable control theory; matrix fraction descriptions, state-space realizations, multivariable poles and zeroes; operator norms, singular value analysis; representation of unstructured and structured uncertainty, linear fractional transformation, stability robustness and performance robustness, parametrization of stabilizing controllers; approaches to controller synthesis; H2-optimal control and loop transfer recovery; H2-optimal control and state-space solution methods.

NONLINEAR CONTROL SYSTEMS
PREREQUISITE: Graduate Course
3 credits
Studies the dynamic response of nonlinear systems; approximate analytical and graphical analysis methods; stability analysis using the second method of Liapunov, describing functions, and other methods; adaptive, learning, and switched systems; examples from current literature.

DIGITAL INTEGRATED CIRCUIT TESTING
PREREQUISITE: Graduate Course
3 credits
Production testing of digital integrated circuits. Outline of methods of testing used in production. Testing schemes and design for testability. Faults and fault models, yield estimates, testability measures, fault simulation, test generation methods, sequential testing, scan design, boundary scan, built-in self test, CMOS testing.

COMPUTER METHODS FOR ANALYSIS AND DESIGN OF VLSI CIRCUITS
PREREQUISITE: Graduate Course
3 credits
Formulation of circuit equations. Sparse matrix techniques. Frequency and time-domain solutions. Relaxation techniques and timing analysis. Noise and distortion analysis. Transmission line effects. Interconnect analysis and crosstalk simulation. Numerical inversion techniques. Asymptotic waveform estimation. Mixed frequency/time domain techniques. Sensitivity analysis.

ADVANCED TOPICS IN VLSI
PREREQUISITE: Graduate Course
3 credits
Recent and advanced topics in the design of very large-scale integrated circuits, with emphasis on mixed analog/digital circuits for telecommunications applications. Topic varies from year to year according to departmental research interests. Students may be expected to contribute lectures or seminars on selected topics.

SIGNAL PROCESSING ELECTRONICS
PREREQUISITE: Graduate Course
3 credits
CCDs, transversal filters, recursive filters, switched capacitor filters, with particular emphasis on integration of analog signal processing techniques in monolithic MOS ICs. Detailed op amp design in CMOS technology. Implications of non-ideal op amp behavior in filter performance. Basic sampled data concepts.

ASICS IN TELECOMMUNICATIONS
PREREQUISITE: Graduate Course
3 credits
Modern ASIC technologies for Telecom will be introduced. Circuit level building blocks for typical wireline and wireless applications will be overviewed. Both analog and digital circuits will be considered. A topical literature study, circuit level design exercises and take home final exam will be required.

MASTER’S THESIS
PREREQUISITE: Graduate Course
3 credits

COMMUNICATION SKILLS I
PREREQUISITE: Satisfactory Scoring on Placement Examination or Promotion from ENG 100
Experiences in multiple-draft writing of expository themes through the writing-process approach. Focus on thesis analysis and development, and analyses of audience, purpose, tone, style, and diction. Selected readings included.

COMMUNICATION SKILLS II
PREREQUISITE: ENG 101
Development of critical and analytical skills in communication which provides experience in argumentative reading and writing and in techniques of research.

PRINCIPLES OF SPEECH
PREREQUISITES: ENG 101 and 102
Basic communication theory and practice of public speaking, including information processing skills, oral style, and delivery. Practical emphasis on developing verbal and vocal skills through a variety of speech purposes.

CALCULUS I
PREREQUISITE: MTH 153 or the Equivalent
Treatment of the essentials of calculus necessary for the study of more advanced subjects in the natural sciences and mathematics including limits, continuity, derivatives and applications, antiderivatives and the Fundamental Theorem of Calculus. Integration of some calculus applications with
computer activities included.

CALCULUS II
PREREQUISITE: MTH 184
Applications of definite integrals, the calculus of transcendental functions, infinite series, and integration techniques. Some topics are integrated with computer activities.

CALCULUS III
PREREQUISITE: MTH 251
Investigation of calculus concepts at the intermediate level including polar coordinates, vectors, and the calculus of several variables.

ENGINEERING PROBABILITY & STATISTICS
PREREQUISITE: MTH 252
Applications of random variables and random processes to engineering analysis and design. Cumulative and probability density functions; error function; central limit theorem; finite samples; auto correlation; power spectral density; effect of filters on digital data. Probabilistic and statistical design of
systems required.

DIFFERENTIAL EQUATIONS
PREREQUISITE: MTH 251
A first course in ordinary differential equations. Topics include first-order equations, linear differential equations, and variable-coefficient equations. Applications include growth/decay models and the vibrational models.

UNIVERSITY PHYSICS
COREQUISITE: MTH 184, PHY 160L, PHY 161L
Study of mechanics, heat, sound, light, electricity and magnetism, and modern physics. Emphasis on analytical methods with application of calculus and problem solving.

UNIVERSITY PHYSICS LABORATORY
COREQUISITES: PHY 160, 161
Opportunity to investigate the laws and principles of physics and to make conclusions based on observations and analysis.

GENERAL CHEMISTRY I
PREREQUISITES: MTH 153
Emphasis on theoretical principles necessary for an understanding of the nature of matter and the physical and chemical changes which it undergoes. High school chemistry not required but desirable. Good understanding of algebra
desirable. Must be taken in sequence.

INTRODUCTION TO UNIVERSITY LIFE
Non-credit introduction to university life to enhance students’ transition.

FUNDAMENTALS OF FITNESS FOR LIFE
Development of knowledge and appreciation for total fitness as an individualized lifetime goal, including the improvement in current levels of fitness and the development of positive lifestyles.

PERSONAL AND COMMUNITY HEALTH
Study of a basic knowledge of current personal and community health problems to make informed decisions, to develop more positive attitudes, and to practice a lifestyle of healthful living.

Choose from 300 level courses in math, computer science, chemistry, physics or engineering