• EE 5650: Object & Pattern Recogni

  3.00 Credits

  University of Wyoming

  
  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 ID Methods

  3.00 Credits

  University of Wyoming

  
  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. Prerequisites: EE 4220.
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• EE 5670: Digital Image Formation

  3.00 Credits

  University of Wyoming

  
  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 graduate standing.
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• EE 5700: Power Engineering

  2.00 - 6.00 Credits

  University of Wyoming

  
  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 4510.
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• EE 5710: Electric Power Quality

  3.00 Credits

  University of Wyoming

  
  Power quality is gaining increasing interests among both electric utilities and end users of electric power. In this course, a comprehensive introduction to the electric power quality engineering will be given to prepare you for the incoming power quality disturbances and causes, voltage sag and interruptions, electric transient, and harmonics. Prerequisites: EE 3510 or graduate standing.
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• EE 5740: Digital Control Systems

  3.00 Credits

  University of Wyoming

  
  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

  3.00 Credits

  University of Wyoming

  
  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:

  1.00 - 6.00 Credits

  University of Wyoming

  
  A graduate special topics course in which advanced developments are studied. Section 1 is individual study. Other sections primarily seminar format in which participants present reports on the subject under study. Prior approval of the instructor is required.
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• EE 5885: Special Topics in EE

  0.00 - 6.00 Credits

  University of Wyoming

  
  Features topics not included in regularly offered classes. Normally offered in regular class lecture format; may include a lab component if appropriate.Prerequisites: Prior approval of the instructor is required.
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• EE 5890: Reliability of Engineering Sys

  3.00 Credits

  University of Wyoming

  
  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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