Brian Faulkner, Ph.D.

Associate Professor Milwaukee School of Engineering

  • Milwaukee WI

Dr. Brian Faulkner is an assistant professor of electrical engineering.

Contact

Milwaukee School of Engineering

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Education, Licensure and Certification

B.S.

Physics and Mathematics

University of Idaho

2010

M.S.

Electrical and Computer Engineering

University of Illinois Urbana-Champaign

2015

Ph.D.

Electrical and Computer Engineering

University of Illinois Urbana-Champaign

2018

Biography

Dr. Brian Faulkner is an Associate Professor in the Electrical, Computer and Biomedical Engineering department and has been a faculty member at MSOE since 2019. He teaches courses in digital signal processing, linear circuits, signals and systems, and electrical engineering.

Affiliations

  • American Society for Engineering Education: Mathematics Division: Secretary/Treasurer

Selected Publications

Where Does the Calculus Go? A Follow Up Investigation of How Calculus Ideas Are Used in Core Engineering Coursework

IEEE Frontiers in Education Conference

Faulkner, B., Herman, G.

2017

Mathematics courses are a major source of engineering student attrition. Many engineering students drop out before even taking an engineering course. While the mismatch between mathematics content and following engineering coursework is already a concern, it is often studied heuristically by talking to engineering faculty. Few rigorous studies empirically document when students actually need to use calculus knowledge in their coursework. We mapped how foundational calculus concepts are used to solve assigned problems in topics covered in the widely required Engineering Statics course. To create this mapping, we used the mathematics-in-use technique of Czocher et al. We present preliminary evidence of the match, or mismatch, between what calculus is taught and learned in mathematics courses and what is expected of students in following engineering coursework. For this work-in-progress, we focused on presenting the alignment between calculus concepts/skills and topics taught in Statics.

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Engineering Faculty Perspectives on Student Mathematical Maturity

ASEE Annual Conference and Exposition

Faulkner, B.E., Herman, G.L., Earl, K.

2017

Mathematics coursework causes significant engineering student attrition. Many students drop out of engineering before even taking their first engineering course due to failing a prerequisite mathematics course. If the mathematics prerequisites fail so many engineering students, it is prudent to understand what exactly those students ought to be gaining by taking these courses. When asked what their students gain from the math course sequence, many engineering faculty members respond that it is not technical mastery, but “mathematical maturity” that matters. We conducted a qualitative thematic analysis of 27 interviews with engineering faculty members from 11 disciplines who taught engineering courses that list part of the core engineering mathematics sequence as a direct prerequisite. We examine which mathematical skills, habits, and attitudes constitute “mathematical maturity” for engineering students according to these engineering faculty members. We constructed an initial coding scheme from literature on mathematical epistemology, mathematical competencies, and symbol sense, with additional codes allowed to emerge during coding by two researchers.

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Understanding Bernoulli's Principle Through Simulations

American Journal of Physics

Faulkner, B.E. and Ytreberg, F.M.

2011

Computer simulations are used to develop a deeper understanding of Bernoulli’s principle. Hard disks undergoing elastic collisions are injected into a Venturi nozzle and the pressure in the narrow throat of the nozzle is compared to the pressure in the wider section of the pipe. This model system is an ideal student project because the theory and programming are straightforward, and the computational cost is low.

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