This course aims to help undergraduate students in understanding the latest software engineering techniques and their applications in the context of industrial and systems engineering. The topics of this course include the fundamental concepts and applications of computer programming, software engineering, computational problem solving, and statistical techniques for data mining and analytics.

This course examines classical Newtonian mechanics from a calculus-based fundamental perspective with close coupling to integrated laboratory experiences. Topics include kinematics; Newton's laws of motion; work-energy theorem, and power; systems of particles and linear momentum; circular motion and rotation; mechanical waves, and oscillations and gravitation within the context of mechanical engineering, using mechanical engineering conventions and nomenclature. Each topic is reviewed in lecture, and then thoroughly studied in an accompanying laboratory session. Students conduct experiments using modern data acquisition technology; and analyze, interpret, and present the results using modern computer software.

This basic course treats the equilibrium of particles and rigid bodies under the action of forces. It integrates the mathematical subjects of calculus, vector algebra and simultaneous algebraic equations with the physical concepts of equilibrium in two and three dimensions. Topics include concepts of force and moment, friction, centroids and moments of inertia, and equilibrium of trusses, frames and machines.

This course provides the student with an overview of the use of computer programming for solving problems encountered in engineering. Students will learn how to develop an algorithm for solving a problem and to translate that algorithm into computer code using fundamental structured programming techniques. The programming language(s) employed are selected to support computational problem-solving in higher-level mechanical engineering courses.

This course is focused on developing skills and knowledge in the areas of instrumentation, computer data acquisition (DAQ), measurement theory, uncertainty analysis, data analysis, and technical report writing. Specific topics that are covered include: • Physical dimension variability assessment • Centrifugal pump performance evaluation • Temperature, pressure, and flow instrumentation and measurements • LabVIEW programming and DAQ hardware application • Transient measurements including computer data acquisition • Digital signal input and output Each topic includes background theoretical content with some individual exercises and then a team-based lab with accompanying lab report. Reports are submitted first in draft form and are reviewed by peers in class before preparing them for final draft submission

Nominally three months of full-time, paid employment in the mechanical engineering field.

Thesis In conference with an adviser, a topic is chosen. Periodic progress reports and a final written document with an oral examination are required.