Students will participate in an off-campus engineering internship, applying course knowledge and skills to problems within a work environment. Internship placements must be established prior to enrollment in this course in consultation with careers office and/or science/engineering faculty member. May be repeated for credit. Permission of instructor required.

Course includes both lecture and lab components per week. Study the interactions of energy and matter. Learn and apply the 0th, 1st, and 2nd laws of thermodynamics, work and heat, free energy, entropy, enthalpy. Learn how equations of state relate quantities such as temperature, pressure, volume, and internal energy for ideal gases and more complex systems. Prerequisite: grade of C or higher in PHYS 260.

Course includes both lecture and lab components per week. Learn about fundamental crystal structures, elastic constants, stress and strain due to mechanical deformation and thermal expansion, and plastic deformation. Use the Schmid factor to determine active slip systems. Learn how to model viscoelasticity and select optimal materials using Ashby plots. Prerequisite: grade of C or higher in 250.

Students learn basic procedural programming skills in a program such as Matlab, and study various mathematical models along with their applications to engineering. Various deterministic, stochastic, and simulation models are covered. Requirements include modeling projects with written reports and class presentations. Prerequisite: acceptable placement score or grade of C or higher in 220, 325. (Equivalent to MATH 365). QL, WCII

Students work with a team to explore a realistic, open-ended and multifaceted case under the guidance of a faculty advisor. Students carry out and document solution exploration, solution refinement, and prototyping. Restricted to computer science majors with senior standing. Prerequisite: grade of C or highter in 498.

This graduate-level course builds on the foundational concepts of web development introduced at the undergraduate level. This course builds an understanding of how frameworks fit together through project-based learning. Students will gain experience with front-end and back-end development, explore advanced frameworks and tools, and apply best practices in building scalable and efficient web applications. Prerequisite: three-credit web development undergraduate course or equivalent industry experience.

Learn optimization and simulation methods including linear optimization, Monte Carlo, and discrete event simulation. Apply modeling to business problems to recommend possible actions toward a solution. Prerequisite: MATH-230 or equivalent and three credits of intro to programming course.

This graduate-level course introduces fundamental principles and practices in embedded systems design and builds upon these principles to study the interaction of computer systems (CPU, memory) and interfacing with those systems. The course covers microcontroller/microprocessor architecture, real-time operating systems (RTOS), hardware/software co-design, system-on-chip (SoC) architectures, and interfacing with peripherals. Prerequisite: three credits of introductory programming and a discrete math course.

Explore metacognitive strategies to better understand how you learn, reflect on problem-solving approaches, and build habits for lifelong learning in technical fields. Develop an applied understanding of precalculus, linear algebra, spatial reasoning, and calculus.

Course includes both lecture and lab components per week. Practice innovation by designing and building solutions subject to physical constraints. Explore the creative side of problem solving, learn the fundamentals of the design process, and strengthen solutions by working in teams. Sharpen real-world presentation skills by giving pitches to "customers". AE