Introductions to: the profession of electrical engineering; the wide range of sub-disciplines that make electrical engineering so valuable in improving the human condition; the role of electrical engineers in society; and the role of electrical engineering students in the university.

Fundamentals of electrical and electronic components. Basic network laws. Mathematical and computer tools for network analysis.

Laboratory procedures, instrumentation and measurements, report writing, computer use in system design, testing, and troubleshooting. Integrative project-based learning environment including passive, active, electronic and electromechanical systems.

Fundamentals of electrical engineering for mechanical, chemical, or other engineering disciplines, including electric circuits, measurements, data acquisition, sensors, motors, and controllers.

Analysis of linear ac circuits using complex variables. Nodal and mesh analysis, Thevenin and Norton transformations, linearity, superposition, use of math solvers, circuit simulators, and computer-interfaced instrumentation.

Analysis of continuous-time signals and systems in time and frequency domains, Fourier series and transforms, Laplace transforms; introduction to discrete-time signals.

Design and implementation of analog and digital electronic circuits, with emphasis on developing deep individual understanding of curriculum-spanning concepts.

Team-oriented application of sensing, measurement, and real time embedded digital control for autonomous vehicular systems. Requirements analysis, system modeling, software/hardware integration, report writing, development of teaming skills.

An introduction to analysis, design and applications of discrete time systems; z- and discrete Fourier transforms; frequency and impulse responses, FIR and IIR filters.

Fundamentals of control systems. Analysis and design of control systems using physical system models. State variables, steady-state error, time- and frequency-responses, control system stability. Root locus analysis and controller design – PI, PD, PID, lead-lag compensator. Nyquist stability criterion.

Formulation of physics-based dynamic models of electrical or electromechanical systems. Solving dynamic equations of electrical systems in discrete time. Use of object oriented programming language (e.g., C++) and computer tools (e.g, MATLAB, virtual test bed) for solving dynamic equations of electrical systems.

Basic concepts of electric and magnetic fields, including electrostatics, magnetostatics, and quasi-statics with computer applications.

Properties and characteristics of semiconductor materials, p-n and semiconductor-metal junctions. Basic properties, characteristics and operation of diodes and transistors.

Introduction to design and analysis of electronic circuits and systems. Applications of amplifiers, op-amps, diodes, bipolar and field-effect transistors in analog and digital circuits.

Fundamentals of non-invasive probes for biometrics. Principles of ultrasound for echocardiography, optoelectronics for photoplethysmography, and electrochemistry for electrocardiography and electroencephalography. Introduction to amplification methods for biometric probe readout electronics. Studies of engineering tradeoffs between signal level versus adverse effects. Measurement basics of signals.

Planning, preliminary design, and prototyping. Analysis and specification of system and subsystem requirements, measures of performance, analysis of alternatives, effective team work. Project management and scheduling. Prototype implementation and characterization. This course should be taken during student’s penultimate semester.

Graduation with Leadership Distinction: GLD: Professional and Civic Engagement Internships, GLD: Research

Continuation of Capstone Design Project I. Final design and implementation including design iteration, design for reliability, system integration and characterization, business case development.

Graduation with Leadership Distinction: GLD: Professional and Civic Engagement Internships, GLD: Research

Experiential Learning: Experiential Learning Opportunity

The embedded electronics and software used in data acquisition, and process and instrument control in an industrial or manufacturing environment.

Introduction to communication systems, sampling theorem, modulation theory, multiplexing, phase-lock loops, and related topics.

Electric power systems including transformer fundamentals, per-unit analysis, transmission and distribution line design, and power flow analysis.

Individual investigation or studies of special topics. A maximum of 3 credits total may be applied toward a degree. Advanced approval of project proposal by instructor and department advisor.

Graduation with Leadership Distinction: GLD: Professional and Civic Engagement Internships, GLD: Research

Fundamentals of photovoltaic solar cell technologies. Design and operation of solar cells, including efficiency analysis and cost benefit. Applications to green and sustainable energy systems.

Introduction to plane electromagnetic wave propagation, reflection, transmission, antennas and antenna arrays, wireless link margin; noise, noise figure, noise temperature; switches and phase shifters; microwave modeling.

Analysis and design of discrete-time control systems, implementation of control systems using digital electronic systems. Applications to electrical systems.

Sensing, data acquisition, and data processing for evaluation of performance and system health. Integration and implementation of health management systems.

Operating principles and design of bioelectric sensors and sensor systems for medical applications.

Analysis and design of electromechanical energy conversion systems, including electrical machines and electronic drives.

Analysis and design of power systems in presence of photovoltaic generation with focus on protection systems, control, power quality.

Special topics in distributed energy resources for modern electrical energy systems. Course content varies and will be announced in the schedule of classes by title. May be repeated as topics vary.

Fourier techniques and stochastic processes review, multiple access & cellular techniques, signal space representations for signals and noise, baseband modulations and optimal receivers in additive white Gaussian noise, bandpass and higher-order modulations, mobile & wireless propagation channel characteristics, effects of bandlimiting & distortion mitigation, diversity techniques.

Operational principles and characteristics of electronic and optoelectronic semiconductor devices including MOSFETs and high electron mobility transistors (HEMTs) for power electronics, electric cars and high-speed communications, light emitting diodes and lasers for solid state lighting, displays and optical communication, solar cells for green power generation.

RF design fundamentals, lumped elements, transmission line theory, transmission lines and waveguides, S-parameters, impedance matching, microwave resonators.

Basic analysis and design of solid-state power electronic devices and circuitry.

Semiconductor material and device characterization; resistivity, carrier and doping density, contact resistance, Schottky barriers, series resistance, defects, trapped charges, and carrier lifetime.

Prerequisite: ELCT 363.