Engineering Courses

Civil Engineering (CE)

200 Fundamentals of Surveying Lab. 6 (2 cr.) P: MATH 163. Basic surveying operations and computations; theories of errors and their analysis; fundamental concepts of horizontal, vertical, and angular measurement;

horizontal and vertical control systems; trav- erse computations; location of manmade structures; use of topographic maps.

272 Mechanics of Materials Class 3, Lab. 2 (4 cr.) P: ME 270 or equivalent. Analysis of stress and strain; equations of equilibrium and compatibility; stress-strain laws; extension, torsion, and bending of bars; mem- brane theory of pressure vessels; elastic stability; selected topics. Laboratory experiments include testing of mechanical properties and failure analysis.

340 Hydraulics Class 2, Lab. 3 (3 cr.) P; ME 270. Fluid properties; hydrostaticS; kinematics and dynamics of fluid flows; conservation of mass, energy, and momentum; flows in pipes and open channels. Formal laboratory experiments.

350 Environmental Engineering Class 3 (3 cr.) P; Freshman engineering or equivalent. Introduction to water pollution, air pollution, noise, and their control. Swimming pool sanitation and development of environmental impact statements.

363 Transportation Engineering Class 3 (3 cr.) P: Junior standing. Functions of transportation, technological and operating characteristics of transportation systems, the factors in deSign, and introduction to transportation planning.

370 Water Resources Engineering Class 3 (3 cr.) P; ME 310. Introduction to hydrology, water resources planning, irrigation, municipal and industrial water supply, hydraulic structures, including dams, spillways, open channels, and pressure conduits.

372 Introductory Structural Analysis Class 4 (4 cr.) P: CE 272. Analysis of statically deter- minate structures, including beams and trusses, influence lines, and moving loads;

statically indeterminate structures including application of moment area and virtual work methods and slope deflection and moment distribution for beams and frames.

Civil Engineering Courses 73

374 Introductory Structural Design Gass 4 (4 cr.) P; CE 372. Introduction to the behavior of steel, concrete, and timber structures, the design of steel, concrete, and timber structural members for tensile and compressive loads, their flexure, and the behavior of selected structural systems.

382 Soil Mechanics and Foundations Class 4 (4 cr.) P; CE 272. Identification and classification of soils; engineering behavior and properties of soils; including compaction, com- preSSibility, permeability, and shearing resistance; the effect of these soil properties on the design of foundations.

454 Analysis and Design in Environmental Engineering Gass 3 (3 cr.) P; ME 310. Intro- duction to environmental engineering; water supply and wastewater engineering; solid waste management and air pollution control.

(Equivalent to SPEA V552.)

471 Advanced Structural Design Class 3 (3 cr.) P; CE 374. The design of structural systems, including continuous span bridges, culverts, retaining walls, rigid frames, multi- level buildings, etc.

472 Structural Analysis II Gass 3 (3 cr.) P;

CE 372. Basic procedures in analysis of rigid frames having members of constant or variable moment of inertia; method of angle changes, slope deflection, and column anal- ogy. Design of rigid frame structures.

497 Civil Engineering Projects Hours and credits to be arranged.

498 Civil Engineering Design Project (3 cr.) P: CE 372. Planning, design, and analysis of a civil project; integrated and realistic group project involves as much as possible all major aspects of the civil engineering profession.

527 Energy Conservation in Buildings Class 3 (3 cr.) P; Senior standing in engineering.

Role of construction managers, engineers, and planners in design and construction of energy-efficient buildings; influence on energy consumption of the building envelope, human factors, lighting, heating, ventilating, and air conditioning; energy conservation regulation and codes; energy audits and estimating techniques; non-depletable energy source applications, active and passive solar energy systems; life cycle costing and energy consumption estimating techniques.

74 Electrial Engineering Courses

557 Air Quality Management Class 3 (3 cr.) P: ME 310 or consent of instructor. Discus- sion of fugitive, mobile, and point sources of air pollution with attendant effects on materials, plants, and humans. Development and status of state and federal regulations with emphasis on the development and use of mathematical dispersion models including meteorological fundamentals and atmos- pheric transport. Discussion of concepts for ambient air quality control strategies including urban planning and transportation con- siderations.

570 Advanced Structural Mechanics Class 3 (3 cr.) P: CE 272 and MATH 262. Studies of stress and strain, failure theories, and yield criteria; flexure and torsion theories for solid and thin-walled members; and energy methods.

571 Matrix Analysis of Structures Class 3 (3 cr.) P: CE 272 and CE 372 or consent of instructor. Matrix terminology and operations;

matrix procedures of analysis of continuous beams, plane frames, and space frames under static and quasi-static loading; stiffness and flexibility methods, computer applications; special techniques for large systems.

574 Structural Reliability Class 3 (3 cr.) P:

CE 392 and CE 374 or consent of instructor.

Elements of probability theory and its application to structural engineering; statistical distributions of load; probable strength of structural elements and machine parts; safety analysis and reliability prediction of structural and mechanical systems; reliability- based designs.

577 Theory of Elasticity, Plates, and Shells Class 3 (3 cr.) P: MATH 262. Two-dimen- sional elasticity theory and applications, classical analysis of circular and rectangular plates, analysis of thin cylindrical shells and shells of revolution.

579 Structural Stabilitv Class 3 (3 cr.) P: CE 472. Bending of struct~ral members subjected to axial and lateral loads; buckling of compression members and frames in elastic and inelastic ranges; local buckling, lateral buckling of beams, and design criteria.

597 Civil Engineering Projects Hours and credits to be arranged.

Electrical Engineering (EE)

201 Linear Circuit Analysis I Class 3 (3 cr.) P or C: MATH 261. Volt-ampere characteristics for circuit elements; independent and de- pendent sources; Kirchhoff's laws and circuit equations. Source transformations; Th~~en

in's and Norton's theorems; superpoSitlon.

Transient response of RC RL, and RLC cir-

cuits, sinusiodal steady-state and impedance.

Instantaneous and average power. (Students enrolling in EE 201 should enroll concurrently in EE 207.)

202 Linear Circuit Analysis II Class 3 (3 cr.) P: EE 201. Continuation of EE 201. Use of computer-aided design programs. Bode diagrams, complex plane, resonance, and coupled circuits. Two-port network parameters.

Fourier series. State variable formulation.

207 Electronic Measurement Techniques Lab.

3 (1 cr.) P or C; EE 201. Experimental exercise in the use of laboratory instruments, device characteristics, waveform analysis, frequency and transient responses, and transistor circuits.

208 Electronic Devices and Design laboratory Lab. 3 (1 cr.) P: EE 207. C: EE 255. Labo- ratory experiments in the measurement of electronic device characteristics. Design of biasing networks, small signal amplifiers, and switching circuits.

255 Introduction to Electronics Analysis and Design Class 3 (3 cr.) P: EE 201. Diode, bipolar transistor, and FET circuit models for the design and analysis of electronic circuits. Sin- gle and multistage analysis and design. Com- puter-aided design calculations, amplifier operating point design, frequency response, and Bode plots. Switching of the transistor from saturation to cut-off, charge control concepts, logic families, and gates. (Students enrolling in EE 255 are encouraged to enroll concurrently in EE 208.)

261 Digital Systems Design I Class 3 (3 cr.) P or C: EE 201 or consent of instructor. Intro- duction to logic design. Topics include binary and decimal arithmetic, binary codes, basic digital devices, logic design using state machines, read-only memory implementation of digital machines, linked-state machines, and analogfdigital conversion. (Students enrolling in EE 261 are encouraged to enroll concurrently in EE 267.)

267 Introductory Digital Subsystems Labora- tory Lab. 3 (1 cr.) P: EE 261 and EE 207. Lab- oratory experiments designed to follow EE 261 course material requiring the design and implementation of a variety of digital logic circuits ranging from simple combinational logic circuits to complex sequential logic circuits utilizing integrated circuit counters, shift registers, and binary arithmetic elements.

301 Signals and Systems Class 4 (4 cr.) P: EE 201 and MATH 262. Description of detennin- istic signals through the use of Fourier series, Fourier, Laplace, and Z-transforms. System description treated by differential and differ- ence equations including transform methods.

Computation of system response to both continuous and discrete inputs.

302 Probabilistic Methods in Electrical Engi- neering Class 3 (3 cr.) P: MATH 262; P or C:

EE 301. An introductory treatment of probability theory including distribution and density functions, moments, and random variables. Applications of nonnal and exponential distributions. Estimation of means, variances, correlation, and spectral density functions.

Random processes and response of linear systems to random inputs.

311 Electric and Magnetic Fields Class 3 (3 cr.) P; MATH 262 and PHYS 251. Contin- ued study of vector calculus, electrostatics, and magnetostatics. Maxwell's equations, introduction to electro-magnetic waves, transmission lines, and radiation from antennas.

(Students may not receive credit for both EE 311 and PHYS 330.)

321 Introduction to Electric Energy Engineer- ing Class 3 (3 cr.) P: EE 202; P or C: EE 311.

Fundamental concepts in electric power.

Principles of magnetic circuits and electromechanical energy conversion. Steady state analysis of three-phase power systems.

350 Nonlinear Circuits and Devices Labora- tory Class 1, Lab. 3 (2 cr.) P: EE 208 and EE 255. Laboratory exercises in application of modern devices, nonlinear synthesis, and first-order nonlinear networks.

360 Microprocessor Application Laboratory Lab. 3 (1 cr.) P or C: EE 361. Laboratory experiments in the design and implementation of microcomputer system hardware and software. Interface devices such as UART's, PIA's, and D/A converters are studied in a variety of applications, including microcomputer input/output, data transfer, data conversion, man-machirle interface, and real- time control. A design project illustrates overall system design.

361 Microcomputer System Design and Ap- plications Class 3 (3 cr.) P: ENGR 109 or equivalent, EE 301 and EE 261. Introduction to digital system design at the register transfer level: design incorporating register transfer modules, microprocessors, memory devices, and other MSI and LSI circuits;

applications to digital interface and instrumentation, waveform generators and analyz- ers, signal processing, special purpose stored program computers; case studies in engineer-

Electrical Engineering Courses 75

ing applications of digital systems. (Students enrolling in EE 361 are encouraged to enroll concurrently in EE 360)

369 Introduction to Finite-State Machines Class 3 (3 cr.) P; EE 261. Introduction to finite-state machines and discrete mathematical structures. Topics include foundation of discrete mathematics, groups and semi- groups, counting and enumeration, applications of Boolean algebra and group theory to computer design, group codes in computer systems, basic models of finite-state machines, state and machine identification experiments, and regular expressions and machine specification.

382 Feedback System Analysis and Design Class 3 (3 cr.) P: EE 301 or equivalent. In this course classical concepts of feedback system analysis and associated compensation techniques are presented. In particular, the root locus, Bode diagram, and Nyquist criterion are used as determinants of stability. (Stu- dents may not receive credit for both EE 382 and EE 518)

402 Semiconductor Devices and Circuit Models Class 4 (4 cr.) P: EE 311 and PHYS 342. Conduction processes in solids. The operation of solid state devices is analyzed from a microscopic and equivalent circuit point of view.

425 Elements of Electro-Mechanical Energy Conversion Class 3 (3 cr.) P: EE 321. Classical analysis of direct current, induction, and synchronous machines. Steady-state and dynamic characteristics. Equal-area method.

Real and reactive power regulation. llIustra- tion of transient behavior of a synchronous machine-infinite bus system.

432 Elements of Power System Engineering Class 3 (3 cr.) P: EE 321 or consent of instructor. Fundamental concepts and operation consideration of power systems basic compo- nent model representations, steady state per- fonnance, operating strategies, and control of power systems.

444 Introduction to Communication Systems Analysis Class 3 (3 cr.) P: EE 301 and EE 302.

Applications of the principles of signal analysis of amplitude, phase, and frequency mod- ulator systems. Behavior of receivers in the presence of noise. Pulse code modulation and multiplex systems. Emphasis on applications of theory to communication system design.

76 Electrical Engineering Courses

450 Computational Methods for Circuit Analysis and Design Class 3 (3 cr.) P: EE 202, EE 255 and ENGR 301. Algorithmic and computational aspect of electronic circuit analysis and design of linear and nonlinear circuits; matrix formulation of circuit equations; introduction to nonlinear optimization;

use of user-oriented software such as SPICE, SNAP, and XPLORE; and principles of computer-aided circuit design. (Students may not receive graduation credit for both EE 446 and EE 45O.)

483 Digital Control Systems-Analysis and Design Class 3 (3 cr.) P: EE 382. Modeling using state variable representation in discrete time and Z-transfer function. Parameter de- termination. Extension of basic frequency domain approaches to digital systems design.

Time domain design of discrete time systems. Computational methods emphasized in the design. Basics of computer control.

491 Engineering Design Project (1-2 cr.) P:

Senior standing and consent of a faculty sponsor. The student selects an engineering design project and works under the direction of the faculty sponsor. Suitable projects may be from the local industrial, municipal, state, and educational communities. May be re- peated for a maximum of 4 credits.

495 Selected Topics in Electrical Engineering (1-4 cr.)

518 Introduction to Automatic Control Sys- tems Class 3 (3 cr.) P: Graduate standing.

Mathematical modeling of a system. Linear systems analysis in the time and frequency domains. State variables and transfer functions. Stability, controllability, and observa- bility. Feedback control design techniques.

Equalizer synthesis on Bode-Nyquist and root-locus diagrams, analytic design, and parameter optimization techniquest. (Students may not receive credit for both EE 382 and EE 518.)

519 Control Theory II Class 3 (3 cr.) P: EE 518. The approximation of common nonlin- earities by describing functions and the analysis of resultant system behavior. Review of matrix analysis. Statespace formulation, solution, and design. Introduction to optimization and computational methods.

525 Analysis of Electromechanical Systems I Class 3 (3 cr.) P: EE 425 or graduate standing. Modem analysis of synchronous and induction machines in electromechanical systems. The concept of multiple reference frames used to analyze unbalanced conditions. Computer simulations. Analysis of operating point stability and variable frequency drive systems.

532 Computational Methods for Power Sys- tem Analysis Class 3 (3 cr.) P: EE 432 or consent of instructor. System, modeling, and matrix analysis of three-phase power networks. Applications of numerical methods and computers to the solution of a variety of problems related to the planning, deSign, and operation of electric power systems.

543 Digital Techniques in Spectral Analysis, Estimation, and Filtering Gass 3 (3 cr.) P: EE 302. Practical techniques for the analysis of discrete-time signals and sampled continuous-time signals. Characterization of deter- ministic and random discrete-time signals, discrete Fourier transform, spectral analysis and correlation function estimation, periodo- grams and window functions, optimum detection algorithms, maximum likelihood and Bayes estimation, and Kalman filtering.

554 Electronic Instrumentation and Control Circuits Class 3 (3 cr.) P: EE 255 and EE 301.

Analysis and design of special amplifiers, pulse circuits, operational circuits, DC amplifiers, and transducers used in instrumentation, control, and computation.

569 Introduction to Robotic Systems Class 3 (3 cr.) P: EE 382 or graduate standing. Analy- sis of methods of the design and operation of robotic systems. Identification of three-di- mensional objects using digitized images.

Arm Control: coordinate transformations, feedback control systems, hardware compo- nents. Applications of distributed micro-computer systems to robotic control. Discussion of command languages and planning of job assignments.

580 Optimization Methods for Systems and Control Class 3 (3 cr.) P: EE 382, EE 483, or graduate standing. Introduction to various methods of obtaining the extremum of a nondynamic or dynamic system and their use in control system design. Linear programming, various search methods, nonlinear programming, and dynamic programming are presented for discrete-time as well as continuous-time systems. Various real-life applications are discussed, and appropriate case studies are investigated.

589 State Estimation and Parameter Identifi- cation of Stochastic Systems (3 cr.) P: EE 302. Introduction to point estimation, least squares, Bayes risk, and maximum likelihood. Optimum means-square recursive estimation for nondynamic stochastic systems.

State estimation for discrete-time and continuous-time dynamic systems. Parameter identification of stochastic systems using maximum likelihood, stochastic approximation, least squares, and random search alogrithms.

595 Selected Topics in Electrical Engineering Hours and credits to be arranged.

600 Random Variables and Signals Class 3 (3 cr.) P: EE 444, or EE 483 or graduate standing. Engineering applications of probability theory. Problems of events, independ- ence, random variables, distribution and density functions, expectations, and charac- teristic functions. Dependence, correlation, and regression; multivariate Gaussian distribution. Stochastic processes, stationary, er- godicity, correlation functions, spectral densi- ties, random inputs to linear systems;

Gaussian processes.

602 Lumped System Theory Class 3 (3 cr.) P:

EE 444 or EE 483 or graduate standing. Basic methods of modem system theory. Time domain techniques for both linear and nonlinear systems. Characterization of both continuous and discrete-time linear systems in the time and frequency domains, energy rela- tionships, and the restriction that positive energy storage places on physical systems.

604 Electromagnetic Field Theory Class 3 (3 cr.) P: EE 311 or graduate standing. Review of general concepts, (Maxwell'S equations, materials interaction, boundary conditions, energy flow); statics (Laplace's equation, Poisson's equation, mapping); distributed parameter systems (classification of solutions, transmission lines, and waveguide); radiation and antennas (arrays, reciprocity, Huygen's principle); a selected special topic (e.g., quantum electronics, plasmas, coupled modes, relativity).

606 Solid-State Devices Class 3 (3 cr.) P:

Graduate standing or consent of instructor. A relatively-broad moderate-depth coverage of semiconductor ,devices and related topicS.

The first portion of the course presents and examines semiconductor fundamentals re- quired in the operational analysis of solid state devices. This is followed by a detailed examination of the PN junction diode. Many other junction devices, such as the PIN diode, the bipolar transistor, PNPN devices, and the JFET are then analyzed as a logical extension of the basic junction diode. The fi- nal portion of the course treats heterojunc- tion surface devices including the Schottky diode, the MOS capacitor, and the MOSFET.

608 Foundations of Computer Engineering Class 3 (3 cr.) P: EE 369 or graduate standing. Data structures including linked lists and binary trees. Sorting and searching algorithms; hashing. Some structure programming experience is assumed. Finite-state machine models, minimization and decom- position of sequential machines, initial and

General Engineering Courses 77 terminal state identification and machine identification, linear sequetial machines, Tur- ing machines.

644 Communications I Class 3 (3 cr.) P: EE 444 or graduate standing and P or C: EE 600.

The statistical basis of communication theory is developed and applied to detection and estimation in telephone, radio, and radar systems. Topics covered include: propagation and transmission of radio waves; noise and interference; modulation and demodulation;

signal representation; sampling, quantization, and multiplexing; optimum receivers and error probabilities.

645 Communications II Class 3 (3 cr.) P: EE 600. The theory of optimum signal processing in the presence of noise. Bounds on per- formance are determined and optimum receivers developed for detection and

estimation of signal parameters in white and colored noise. Optimum filters of the Wiener- Kolmogorov and Kalman-Bucy types are ex- amined and teChniques of constrained optimization are developed. Special topics such as phase lock loops, error control, and feedback communication are considered.

680 Introduction to Modern Control Theory Class 3 (3 cr.) P: EE 580 or EE 602. Theoreti- cal methods in optimum control theory. Top- ics include the calculus of variations and the Pontryagin minimum principle with applications to minimum energy problems. Geomet- ric methods will be applied to the solution of minimum time problems. Computational methods, Singular problems, observed theory, and sufficient conditions for existence of solutions are also discussed.

685 Digital Process Control and Mathemati- cal Modeling of Industrial Systems Class 3 (3 cr,) P: EE 483 or equivalent. This course describes the recent status of automatic control in industry with emphasis on the application of digital control. Problems involved in the use of both supervisory and direct digital control systems will be presented and the development of process mathematical models will also be covered.

696 Advanced Electrical Engineering Proj- ects. Hours and credits to be arranged.

General Engineering (ENGR)

109 Introduction to Computer Programming Class 2, Rec. 1 (3 cr.) C: MATH 163. An introduction to FORTRAN programming for engineering freshmen with some emphasis on solutions to engineering problems.

195 Selected Topics in Engineering I (0-3 cr.) Selected topics in general or interdisciplinary engineering (freshman level).

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