Electrical & Computer Engineering

A project-based introduction to engineering design. Industry-standard software design tools are used to create and document electrical and mechanical assemblies which are constructed using 3D printers and machine tools. Team-based design, engineering documentation, and collaborative work is emphasized.

An introduction to programming and software development for engineering, mathematical, and scientific applications. The basics of LabVIEW, MATLAB, and C/C++ will be introduced, and these programming environments will be used to solve problems, conduct experiments, and perform measurements. Topics include data types, functions, conditional statements, loops, structures, arrays, strings, file I/O, data visualization, and finite state machines.

Elements of AC/DC circuits with semiconductor devices as applied to computing and other systems. Lecture and lab. Fee charged.

Designed to give accelerated access to upper level physical science courses by providing, in one semester, the essential background in mathematical methods. Course content may include multivariable calculus, linear algebra, complex functions, vector calculus, differential equations, and special functions. Lecture.

This course covers applied electrostatics and electrodynamics. Topics include boundary value problems, Maxwell's equations, and electromagnetic waves. Static fields and waves will be analyzed under various boundary conditions in vacuum and in linear media.

A study of Cartesian and polar coordinates, parametric equations, vectors and vector-valued functions in 2 and 3 dimensions, limits, differentiation of functions with applications, integration of functions with applications, Taylor polynomials, and series. It is strongly recommended that students take PHY 2110 and PHY 2120 concurrently with MAT 1510 and MAT 1520, respectively.

A study of Cartesian and polar coordinates, parametric equations, vectors and vector-valued functions in 2 and 3 dimensions, limits, differentiation of functions with applications, integration of functions with applications, Taylor polynomials, and series. It is strongly recommended that students take PHY 2110 and PHY 2120 concurrently with MAT 1510 and MAT 1520, respectively.

A study of partial derivatives and multiple integrals and additional topics in vector-valued functions.

Probability of sample spaces, random variables, discrete and continuous probability distributions. Analysis of the principles of descriptive and inferential statistics.

This course applies digital logic design methodologies to topics such as digital system design, bus structure, clock synchronization and timing, optimization, asynchronous sequential circuits, computer aided design, design for test techniques and tools, and VLSI design.

A two-semester, team-based design project using the skills and knowledge learned throughout the first two years of study in the electrical and computer engineering program. Projects will be selected from a list of options. Designs will be planned, documented, implemented, and tested. Emphasis will be placed on project planning, teamwork, resource allocation, and recovery from unexpected challenges.

A two-semester, team-based design project using the skills and knowledge learned throughout the first two years of study in the electrical and computer engineering program. Projects will be selected from a list of options. Designs will be planned, documented, implemented, and tested. Emphasis will be placed on project planning, teamwork, resource allocation, and recovery from unexpected challenges.

This course makes use of the Python programming language to design object-oriented software for engineering applications. Topics include classes, encapsulation, inheritance, composition, polymorphism, file I/O, and Graphical User Interfaces. Additional topics include numerical methods and data visualization using Python.

This course centers on linear system theory for analog and digital systems. Topics include linearity, causality and time invariance, impulse response, convolution and stability, Laplace and z- transforms, and Fourier series and transforms. Applications to Linear Time Invariant (LTI) systems, frequency response, and filter design will also be explored.

A practical introduction to 8-bit and 32-bit microcontrollers, digital and analog sensors, data conversion, interface protocols, and real-time operating systems. Microcontrollers will be programmed in the C programming language. Topics include timers, interrupts, UART, SPI and I2C communication, Analog to Digital Conversion, and finite state machines.

This course introduces analysis and design of linear-feedback control systems, modeling of physical systems, performance specifications, sensitivity and steady-state error. Additional topics include use of Root Locus and frequency-response techniques to analyze system performance and design compensation (lead/lag and PID controllers) to meet performance specifications.

The theory and design of analog and digital communications systems. Signal classification, correlation, representation, analysis and transmission methods are investigated, as are amplitude and frequency modulation, signal encoding/decoding, encryption and error detection/ correction.

A two-semester, team-based design project using the skills and knowledge learned throughout the first three years of study in the electrical and computer engineering program. Projects will involve multiple design constraints and will incorporate appropriate engineering standards. Emphasis will be placed on design specification, planning, teamwork, resource allocation, product safety, and compliance.

A two-semester, team-based design project using the skills and knowledge learned throughout the first three years of study in the electrical and computer engineering program. Projects will involve multiple design constraints and will incorporate appropriate engineering standards. Emphasis will be placed on design specification, planning, teamwork, resource allocation, product safety, and compliance.

This course covers a variety of topics, including decision, cost, and risk analysis, informatics, project management, entrepreneurship, and elements of operations research.

This course includes three parts: theory, case studies, and research presentation. The main activities of this course involves the analysis of engineering ethics case studies. Topics include ethics, philosophy of engineering, professional practices, and engineering ethics case study methodology.

A study of discrete structures geared toward those entering computer or electrical engineering. Topics may include problem solving, numeration systems, sets, logic, relations, recursion, graphs and trees, sorting, Boolean algebra and circuits, and elementary data structures.