Teaching

I'm an Adjunct Professor in the University of Montana's Master of Science in Business Analytics program. I teach the following courses:

Graduate Introduction to Python

This is a graduate course covering Python fundamentals, including basic programming for manipulating, analyzing, and visualizing a variety of datasets. The course also explores and leverages modern workflows, tools for version control, and open-source libraries via the use of GitHub and JupyterLab.

  • Spring 2025 Rating: 4.84/5.0 (46% response rate)
    • 100% recommended instructor
    • Selected student comments:
      • This was transformational.
      • The professor did an excellent job with the tutorials and overall course structure."
      • I really enjoyed the class! I never used Python extensively before, so this was a great learning experience.
      • Fun and fascinating. Thank you very much Dr. Newton!
Applied Statistics

This is a graduate course covering introductory topics in statistical methods, including descriptive analytics, hypothesis testing, data visualization, unsupervised analytical methods, categorical data analysis, and linear and non-linear regression models. The course is taught with R statistical software and RStudio.

  • Offered Fall 2025
Previous Teaching

Guest Lecturer

  • 2024: University of Montana (Undergraduate Level)
    • People, Process, and Technology II (Instructor: Tyler Talbot)
  • 2017-2024: University of Central Florida (Graduate Level)
    • Topics in Cognitive Science (Instructor: Stephen M. Fiore)
    • Research Methods in Cognitive Science (Instructor: Stephen M. Fiore)

Graduate Teaching Assistant

  • 2020-2021: University of Central Florida (Graduate Level)
    • Perspectives on Modeling and Simulation (Instructor: Patricia Bockelman)
    • Understanding Humans for Modeling and Simulation (Instructor: Patricia Bockelman)
    • Cybersecurity: A Multidisciplinary Approach (Instructor: Bruce Caulkins)