Courses Taught:

• At University of Virginia:
  • EE 307 - Electronics II (Fall '97)
    Electronic circuit design to specifications. Construction and testing of student designed circuits in the laboratory to verify and predicted performance. Includes single stage amplifiers, difference amplifiers and audio amplifiers. Three hours of lecture and three hours of laboratory.

  • ECE 402 - Linear Control Systems (Fall '00, Fall '01)
    Explores the modeling of linear dynamic systems via differential equations and transfer functions utilizing state space representations and classical input-output representations; the analysis of systems in the time and frequency domains; study of closed-loop systems; state-space methods and the classical stability tests, such as the Routh-Hurwitz criterion, Nyquist criterion, root-locus plots and Bode plots. Studies compensation design through lead and lag networks, rate feedback, and linear state-variable feedback.

  • ECE 403 - Control Laboratory (Fall '00: Section 1, Fall '00: Section 2, Fall '01: Section 1, Fall '01: Section 2)
    A laboratory consisting of design, analysis, construction, and testing of electrical and electromechanical circuits and devices.

  • ECE 412 - Digital Control Systems (Spring '98, Spring '99, Spring '00, Spring '01, Spring '02, Spring '03 )
    Analysis and design of dynamic systems which contain digital computers; the Z transform; block diagrams and transfer functions in z-domain; block diagrams, frequency response and stability in z-domain. State space methods. Design using the z-transform and state methods.

  • ECE621/MAE651 - Linear Automatic Control Systems (Fall '00, Fall '01)
    Provides a working knowledge of the analysis and design of linear automatic control systems using classical methods. Introduces state space techniques; dynamic models of mechanical, electrical, hydraulic and other systems; transfer functions; block diagrams; stability of linear systems, and Nyquist criterion; frequency response methods of feedback systems design and Bode diagram; Root locus method; System design to satisfy specifications; PID controllers; compensation using Bode plots and the root locus. Powerful software is used for system design.

  • ECE 622/MAE 652 - Modern Control Theory (Fall '02)
    A study of linear dynamical systems emphasizing canonical representation and decomposition, state representation, controllability, observability, normal systems, state feedback and the decoupling problem. Representative physical examples. Cross-listed as MAE 652.

  • EE 724/MAE 752 - Modern Control Theory (Fall '98)
    A study of linear dynamical systems emphasizing canonical representation and decomposition, state representation, controllability, observability, normal systems, state feedback and the decoupling problem. Representative physical examples. Cross-listed as MAE 752.

  • ECE 726/MAE 756 - Nonlinear Control Systems (Fall '99, Spring '01, Spring '03 )
    Topics include the dynamic response of nonlinear systems; analysis of nonlinear systems using approximate analytical methods; stability analysis using the second method of Liapunov, describing functions and other methods. Selected topics such as i adaptive, neural and switched systems. Introduction to the current literature.

• At State University of New York at Stony Brook:
  • AMS 236 - Statistics in Engineering Quality Control
    Understanding of, and facility with, basic statistical techniques used in manufacturing and quality control including introductory probability and statistical inference. Empirical distributions, discrete and continuous distributions, order statistics, testing, estimation, quality control, and regression.

  • AMS 310 - Survey of Probability and Statistics
    A survey of data analysis, probability theory, and statistics. Stem-and-leaf displays, box plots, schematic plots, fitting straight-line relationships, discrete and continuous probability distributions, conditional distributions, binomial distribution, normal and t distributions, confidence intervals, and significance tests.

  • AMS 311 - Probability Theory
    Probability spaces, random variables, moment generating functions, algebra of expectations, conditional and marginal distributions, multivariate distributions, order statistics, law of large numbers.

  • AMS 569 - Probability Theory I
    Probability spaces and sigma-algebras. Random variables as measurable mappings. Borel-Cantelli lemmas. Expectation using simple functions. Monotone and dominated convergence theorems. Inequalities. Stochastic convergence. Characteristic functions. Laws of large numbers and the central limit theorem.

  • AMS 623 - Topics in Systems and Control Theory
    This course is designed by second- and third-year graduate students who wish to pursue research in the area of systems and control theory. The students are expected to have a strong research background in linear algebra and differential equations and basic knowledge in systems and control theory.

• At Washington State University:
  • EE 489 - Introduction to Control Systems
    State variable models, system response, stability analysis, root locus analysis and design, frequency response, and state space analysis and design.