Courses taught (or currently teaching): Currently enrolled students have access to lectures/hws/hw solutions through Blackboard)
- EE210: Circuit Analysis I :- Circuit analysis by reduction methods, source transformations, mesh and nodal analysis. Operational amplifier model, transient analysis, alternating current circuits, impedance, power, phasor diagrams, and three-phase balanced networks. Computer programming and application of computer software for circuit analysis.
- EE300: Computational and Statistical Methods for Electrical Engineers :- Deterministic and statistical concepts and models in electrical engineering. Associated plotting and numerical techniques. Graphical representation of data and signal processing using computer-aided engineering tools.
- EE310: Circuit Analysis II :- Transient and frequency response of RLC circuits. Mutual inductance generalized network analysis using Laplace transformations, network functions, poles and zeros, stability of circuits, convolution integrals, Bode diagrams, two-part networks.
- EE410: Signals and Systems :- Linear time-invariant systems, Fourier analysis, Continuous and Discrete signals and systems, filtering, Sampling and z-transform techniques.
- EE420: Feedback Control Systems :- Analysis of systems using the Laplace transform method. System performance and stability; Root-locus, Nyquist, and Bode plots; elementary synthesis techniques. Practical components and examples of typical designs.
- EE483: Power Distribution Systems :- Design and operation of electric power distribution systems. Design of primary and secondary systems, application of one phase and three phase transformer banks, and metering principles and practices.
- EE484: Power Electronics :- Design and analysis of power electronic devices. Power semiconductor switches, switch-mode power supplies, dc-to-ac inverters, PM and PWM ac-to-ac converters. Power electronics applications.
- EE522: Introduction to Digital Control Systems :- Digital controls systems; design algorithms including analog invariance methods, direct digital techniques, and non-parametric approaches such as fuzzy control, neural networks, and evolutionary systems; implementation considerations. (taught before the number change from EE622, did not include the intelligent control material)
- EE596: Renewable Energy Systems and their Integration into the Smart Grid :- Modeling and control of renewable energy sources such as wind turbine generation, solar panel and fuel cell and power electronics interfaces. Integration of renewable energy systems. Micro-grids.
- EE601: Linear System Theory and Design :- State models and solutions of the state equations, stability, controllability and observability, realizability and minimal realizations, linear state and output feedback control, introduction to linear optimal control.
- EE625: Linear Optimal Control :- Optimal control with emphasis on quadratic methods; regulation and tracking using state-feedback; deterministic and statistical estimator design; frequency shaping and model reduction; singular pertubation techniques and suboptimal control; applications to flight control, robotics and control of power systems.
- EE720: Advanced Topics in Control/Power Systems :- The class was on adaptive control, taught from the text of Ioannou and Fidan.