Course includes both lecture and lab components per week. Learn the fundamentals of drafting communication and the visualization of scientific data. Explore the capabilities of computer-aided drafting through the creation and detailing of 2-D drawings and 3-D solid models conforming to engineering drafting standards, and learn to interpret standard engineering drawings. Develop a basic understanding of programming to manipulate data sets and generate presentation-quality plots.

Course includes both lecture and lab components per week. Learn basic electrical circuit concepts including voltage, current, and resistance. Use Ohm's Law and Kirchhoff's Laws to evaluate series and parallel combinations of RLC circuits. Analyze direct current and alternating current circuits analytically and experimentally.

Course includes both lecture and lab components per week. Investigate loads acting on a physical system that do not result in acceleration. Use vectors and free body diagrams to analyze systems in equilibrium. Evaluate the internal forces of trusses, frames, and machines. Calculate equivalent forces and moments of a force system, centroids, and area moments of inertia. Reinforce concepts through hands-on experiments. Prerequisite: grade of C or higher in MATH 221 and PHYS 260.

Course includes both lecture and lab components per week. Study the motion and systems of forces acting on particles and rigid bodies in three dimensions. Learn about virtual displacements and virtual work, free and force vibrations, degrees of freedom and how to apply constraints to motion. Prerequisite: grade of C or higher in 250 and MATH 221 and PHYS 260.

Courses on topics of interest to engineering students offered on the basis of need, interest, or timeliness. Prerequisites: as determined by the instructor. Restricted to students with freshman or sophomore standing. May be repeated for credit. For specific section description, click to the Section Details in VitNet.

Independent reading and/or research under the guidance of a engineering faculty member. Refer to the academic policy section for independent study policy. Independent study contract is required. May be repeated for credit.

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.

Independent reading and/or research under the guidance of a computer science faculty member. Refer to the academic policy section for independent study policy. Independent study contract is required. May be repeated for credit.

Application of computer science principles to solve real world problems at an organization while earning a wage. Students are expected to work part-time during the semester under the supervision of a software engineer. Restricted to computer science majors with junior standing and computer science faculty approval. Prerequisite: 310. Graded CR/NC.