Schedule of Classes

Introduction to fundamental concepts in electrical and computer engineering.

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

Full-time cooperative education assignment for electrical engineering students who alternate periods of full-time school with periods of full-time academic or career-related work in industry. Satisfactory/Unsatisfactory.

The study of AC circuits with a dynamical systems approach. Topic covered: capacitance, inductance, phasors, impedance, admittance, Thevenin and Norton equivalents, operational amplifiers, differential equation models of linear circuits and systems, impulse and step responses, convolution integral, Laplace transform, frequency response, and transformers. Simulation and analysis of AC circuits using SPICE and MATLAB.

Introduction to an 8-bit microcontroller. Topics include: architecture, instruction set, assembly language programming, assembler directives, input/output operations, C language programming for an 8-bit embedded device, timers, analog-to-digital conversion, interrupts, timing analysis, embedded design project, and discussion of an integrated design environment that includes a assembler, compiler, and debugger.

Introduce fundamentals of electrical engineering principles. Basic circuit theory, Operational Amplifiers, First and second order passive circuits, AC sinusoidal analysis, Frequency Responses, Digital logic circuits, DC motors and generators, and accompanying laboratory experiments and projects. Open to non-electrical engineering majors only.

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.

Function and applications of diodes, transistors and operational amplifiers. Simulations of electronic devices and circuits using SPICE.

Laboratory sequence with focus on design of electronic interfaces to embedded devices. Topics include: transistor switches, analog-to-digital conversion, digital-to-analog conversion, pulse-width modulation, communication interfaces. Culminates in a design project.

Multidisciplinary team effort to identify a market need based on realistic constraints; propose an electrical or electronic product to meet the need; prepare a feasibility study assessing economic and technical viability of the product.

Topics of special interest which may vary each time course is offered. Topic stated in current Schedule of Classes.

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.

Analysis and design of linear automatic control systems for continuous-time systems using classical control theory. Root locus and Bode methods. Modeling of physical systems. Introduction to digital control. Computer-aided design and simulation.

The project-based course deals with the fundamentals on autonomous and intelligent robotics systems. It covers kinematics, manipulability, motion of robots, the basic definition, architecture, motion planning, control and navigation of autonomous robotics.

Review of transmission lines, impedance matching and transformations, S-parameters, passive RF junctions, RF amplifier design, RF systems, and front-end design. Cross-listed as ECE 551.

Introduction to image processing. Topics covered: digital image fundamentals, image enhancements in spatial domain, image restoration, color image processing, wavelets and multiresolution, image compression, morphological image processing, image segmentation, pattern recognition. Cross-listed as ECE 562.

Introduction to data structures, object-oriented programming, memory management, problems of efficiency and complexity of algorithms applicable to embedded systems. Cross-listed as ECE 570.

Architectures of CISC & RISC microprocessors: CPU, Control Unit, ALU, MMU, pipelines, etc. Design trade-offs investigated. Cross-listed as ECE 583.

The primary goal of this course is to have the student (and partner) choose a senior project and use a top-down design approach prior to implementation in senior lab. In addition, the student will serve on a Design Review Team (DRT) that will analyze other senior projects.

Design and implementation of senior design capstone project. Requires an oral progress presentation.

The project-based course deals with the fundamentals on autonomous and intelligent robotics systems. It covers kinematics, manipulability, motion of robots, the basic definition, architecture, motion planning, control and navigation of autonomous robotics.

Introduction to image processing. Topics covered: digital image fundamentals, image enhancements in spatial domain, image restoration, color image processing, wavelets and multiresolution, image compression, morphological image processing, image segmentation, pattern recognition. Cross-listed as ECE 462.

Introduction to data structures, object-oriented programming, memory management, problems of efficiency and complexity of algorithms applicable to embedded systems. Cross-listed as ECE 470.

Architectures of CISC & RISC microprocessors: CPU, Control Unit, ALU, MMU, pipelines, etc. Design trade-offs investigated. Cross-listed as ECE 483.

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.

Graduate research on a project selected by student and advisor. Repeatable to a maximum of 6 semester hours.

Advanced electrical and computer engineering research or design under the guidance of a faculty advisor. Required of students choosing thesis option. Repeatable to a maximum of 6 semester hours.