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Course Criteria
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3.00 Credits
Advanced topics in VLSI testing and Design-For-Test applications. Memory-specific test methodology and special features of memory designs employed in high volume manufacturing for improved testability, yield, and reliability. VLSI failure modes, their detection and prevention. Application of trim, redundancy, wear-leveling, and error correction. Prerequisite: EEE 238. Graded: Graded Student. Units: 3.0
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3.00 Credits
Analyzes linear systems in the state-space. System realization and modeling, solutions of linear systems, stability including the method of Lyapunov, controllability and observability, state feedback and observers for both continuous and discrete-time systems. Familiarity with MATLAB is required. Prerequisite: EEE 180 or equivalent. Graded: Graded Student. Units: 3.0
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3.00 Credits
Introduces the student to modern statistical approaches for solving electronic system noise problems. A few of the topics covered are: Stochastic processes, Wiener and Kalman filters, linear prediction, lattice predictors and singular-value decomposition. Graded: Graded Student. Units: 3.0
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3.00 Credits
Introduction to sequence of random variables and multivariable distributions; models of stochastic processes; stationary stochastic processes and their applications; Markov processes, Markov chains, continuous Markov chains; renewal processes; birth-death processes; time-series applications in stochastic processes in filtering, reliability and forecasting, prediction and control. Prerequisite: ENGR 120. Graded: Graded Student. Units: 3.0
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3.00 Credits
Electrical Engineering Computational Methods and Applications. Computational methods for solving problems in engineering analysis. Topics include variational methods, finite-difference analysis, optimization methods, and matrix methods. Focuses predominantly on applications of the methods, and students are required to solve real-world, engineering problems on the computer. Prerequisite: EEE 180. Graded: Graded Student. Units: 3.0
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3.00 Credits
Advanced signal processing topics include: multirate signal processing, adaptive filter design and analysis, spatial filtering and the application of FIR filter theory to beamforming. Applications of digital signal processing in communication systems, radar systems, and imaging systems are covered. Hardware and software topics, including current products and the incorporation of VLSI are included. Lecture. Prerequisite: EEE 174, EEE 181 or equivalent. Graded: Graded Student. Units: 3.0
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3.00 Credits
Review of digital control methods using transform techniques. State-variable representation and design of digital control systems, state-space compensators and tracking systems, polynomial equations approach, LQR and LQG discrete-time control and identification, and introduction to adaptive self-turning regulators. Prerequisite: EEE 241. Graded: Graded Student. Units: 3.0
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3.00 Credits
Computation of phase and sequence impedances for transmission lines, machines, and transformers; sequence capacitance of transmission lines; applications of symmetrical components; changes in symmetry; analysis of simultaneous faults by two-port network theory and matrix transformations; analytical simplification for shunt and series faults; solution of the generalized fault diagrams; computer solution methods using the admittance and impedance matrices. Prerequisite: EEE 141 or equivalent. Graded: Graded Student. Units: 3.0
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3.00 Credits
Study of a number of engineering and economic matters involved in planning, operating, and controlling power generation and transmission systems in electric utilities. Effects of hydro and nuclear plants on system economics. Economic and environmental constraints. Theoretical developments and computer methods in determining economic operation of interconnected power systems with emphasis on digital computers. Prerequisite: EEE 141 or equivalent. Graded: Graded Student. Units: 3.0
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3.00 Credits
Power system economics, generation, transmission and distribution reliability. Production costing and generation planning, transmission planning. Prerequisite: EEE 142 or equivalent. Graded: Graded Student. Units: 3.0
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