Schedule of Classes

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

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.

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 signals and systems using the continuous-time approach. Topics covered: Modeling of continuous time physical systems, sampling, transformation of continuous-time signals, Fourier series, Fourier transform, energy and power density spectra, filter design, stability, state variables for continuous-time systems, feedback, bandwidth, modulation. Simulation and analysis of systems using MATLAB and Simulink.

Numerical analysis and modeling techniques of real-world problems as pertinent to electrical engineers using MATLAB and Simulink.

Time-harmonic steady-state and transient analysis of radio frequency (RF) transmission lines (T Lines); impedance matching; the Smith chart and its applications; vector analysis; static electric fields and capacitance; steady currents and resistance; static magnetic fields and inductance; electrical and magnetic properties of materials; electric and magnetic boundary conditions; electric and magnetic energies.

The student is introduced to experimental implementation of topics covered in ECE 204, ECE 205, and ECE 206.

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.

Continuation of multidisciplinary team effort to prepare a business plan for the launch of a venture based on the electronic product proposed and analyzed in ECE 401. Each student will also gain insight into the critical importance of professional ethics by identifying and analyzing a case in which flawed ethical decisions lead to negative outcomes for individuals and their company. Both deliverables require significant writing, the quality of which will have a major impact on the student's grade.

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

Introduction to dynamic systems analysis with emphasis on mathematical modeling of sensors and electromechanical devices for control system applications. Fundamentals of power and industrial electronics.

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 wireless communication systems; modulation and detection; noise, attenuation; multipath and fading; sensitivity, distortion, inter-modulation, and dynamic range; wireless link RF design; transmitter and receiver architectures; RF components and subsystems; selected wireless systems including multiple-access cellular systems. Cross-listed as ECE 552.

This course covers the theory, design, and engineering applications of machine learning with the emphasis on computational intelligence. Embedded hardware platforms, high-performance libraries, and high-performance architectures are used for implementation. Variants such as Deep Neural Networks and Convolutional Neural Networks are examined. Cross-listed as ECE 565.

Introduction to mechatronics: mechatronics overview, sensors and actuators modeling, interfacing sensors and actuators with digital systems.

Advanced programming of small microprocessor-based systems using high-level programming languages applied to real situations: data acquisition, control, communication, small real-time operating systems. Software development for devices from a family of microcontrollers that are relevant to industrial applications. Cross-listed as ECE 571.

Understanding of Linux and its adoption as an embedded OS platform, including process and thread management; communication, synchronization, and deadlocks; virtual memory and file systems; overview of methods and techniques to design and create embedded systems based on the Linux kernel. The essentials of the Linux operating system are discussed from the embedded system point of view, including selecting, configuring, cross-compiling, and installing a target-specific kernel, drivers, and subsystems; the GNU development tool chain; and tools used to build embedded Linux systems. Cross-listed as ECE 572.

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.

Continuation of the design and implementation of the senior design capstone project. Culminates in an oral presentation and a written report.

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 451.

Introduction to wireless communication systems; modulation and detection; noise, attenuation; multipath and fading; sensitivity distortion, inter-modulation, and dynamic range; wireless link RF design; transmitter and receiver architectures; RF components and subsystems; selected wireless systems including multiple-access cellular systems. Cross-listed as ECE 452.

This course covers the theory, design, and engineering applications of machine learning with the emphasis on computational intelligence. Embedded hardware platforms, high-performance libraries, and high-performance architectures are used for implementation. Variants such as Deep Neural Networks and Convolutional Neural Networks are examined. Cross-listed as ECE 465.

Introduction to mechatronics: mechatronics overview, sensors and actuators modeling, interfacing sensors and actuators with digital systems. Cross-listed as ECE 468. Not open to students with credit in ECE 468.

Advanced programming of small microprocessor-based systems using high-level programming languages applied to real situations: data acquisition, control, communication, small real-time operating systems. Software development for devices from a family of microcontrollers that is relevant to industrial applications. Cross-listed as ECE 471.

Advanced programming of small microprocessor-based systems using high-level programming languages applied to real situations: data acquisition, control, communication, small real-time operating systems. Software development for devices from a family of microcontrollers that is relevant to industrial applications. Cross-listed as ECE 472.

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.