Schedule of Classes

Introduction to electrical engineering. Topics includes: voltage, current, resistance, power, and energy, fundamentals of DC circuit analysis using Ohm's and Kirchoff's laws, Thevenin and Norton equivalent circuits, superposition, DC analysis of operational amplifiers, and simulation and analysis of DC circuits using SPICE.

Introduction to logic design with focus on the following topics: fundamentals of Boolean algebra and minimization techniques, logic realizations of SOP and POS functions, multiple function synthesis using PLDs, combinational circuit design as it applies to computers, sequential circuit elements, flip flops, counters and shift-registers, clock generation circuits, algorithmic state machine method of designing sequential circuits, and VHDL design and synthesis. Course culminates with a design project that uses VHDL to implement a finite state machine.

Introduction to computers and operating systems; introduction to programming in a high level language appropriate to electrical engineering.

The study of signals and systems using the discrete-time approach. Topic covered: modeling of discrete-time physical systems, sampling and reconstruction of signals, analog-to-digital converters, quantization, arithmetic formats (fixed- and floating-point), analysis of discrete-time LTI systems, Implementation of discrete-time systems, Z-transforms, frequency analysis of discrete-time signals, frequency domain analysis of LTI systems, discrete Fourier transform, design of FIR and IIR filters. Simulation and analysis of systems using MATLAB and Simulink.

Exploration of probability, statistics and random processes with emphasis on engineering applications. Topics covered: probability models, probability axioms, statistical independence, conditional probability, random variables, probability distributions, joint probability density functions, correlation, covariance, statistical estimate of random parameters, sampling distributions, reliability, random processes, power spectral density, and response of LTI systems to random inputs. Simulation and analysis using MATLAB.

Orthogonal signal representation; review of Fourier series and Fourier transform; basic probability theory; random processes; power spectral density; Shannon's channel capacity; sampling theorem; baseband signaling; bandpass signaling; complex envelop representation of signals and systems; analog modulations; binary and M-ary digital modulations; phase locked loops, demodulation circuits; matched filter; error performance in digital communications. Cross-listed as ECE 531.

A structured guide to the modeling of the design of digital systems, using VHDL, a hardware description language. VHDL is designed to fill a number of needs in the design process. It allows description of the structure of a system and the specification of the function using familiar programming language forms. As a result it allows the design of a system to be simulated and synthesized. Cross-listed as ECE 581.

Orthogonal signal representation; review of Fourier series and Fourier transform; basic probability theory; random processes; power spectral density; Shannon's channel capacity; sampling theorem; baseband signaling; bandpass signaling; complex envelop representation of signals and systems; analog modulations; binary and M-ary digital modulations; phase locked loops, demodulation circuits; matched filter; error performance in digital communications. Cross-listed as ECE 431.

Design of digital filters and multirate systems. Topics include: review of discrete-time signals and systems, generalized linear phase, all-pass filters, minimum phase systems, inverse systems, FIR filter design, IIR filter design, resampling in time and frequency domain, half-band filters, polyphase filters, quadrature mirror filters and wavelets. Cross-listed as ECE 460.

A structured guide to the modeling of the design of digital systems, using VHDL, a hardware description language. VHDL is designed to fill a number of needs in the design process. It allows description of the structure of a system and the specification of the function using familiar programming language forms. As a result it allows the design of a system to be simulated and synthesized. Cross-listed as ECE 481.

Advanced techniques for analysis of electrical, mechanical, and electromechanical systems. State function concepts are emphasized with applications for determining state equations, system stability, and control.

Analysis, design and implementation of digital computer-controlled systems. Transform and state variable methods are used to analyze and design digital controllers. Introduction to discrete time optimal control, Kalman-Bucy filtering, system identification, nonlinear control, adaptive control, H-infinity control, contemporary software and hardware tools for design and rapid implementation of real-time digital controllers, and hardware-in-the-loop simulation of closed loop systems are presented.

Topics of special interest which may vary each time course is offered. Topic stated in current Schedule of Classes. Repeatable to a maximum of 6 semester hours.