Improving access to undergraduate education, particularly in STEM, is a cornerstone of my teaching at UWT. My classes span levels of statistics and environmental modeling, including introductory classes (TMATH 110), calculus-based statistics (TMATH 390), regression (TMATH 410), and environmental modeling (TESC 430).

TMATH 110: Introductory Statistics With Applications. In this class you will learn the basics of statistical reasoning.

TMATH 390: Probability and Statistics in Engineering and Science. In this class you will learn statistical concepts of probability distributions, exploratory data analysis, statistical estimation and inference. We use the R statistical program throughout the quarter to lay a foundation for statistical computing.

TMATH 410: Regression Modeling with Applications. Regression analysis is one of the foundational skills in data science. The fundamentals you learn in this class will prepare you for more advanced topics in statistical modeling and analysis.

TESC 430: Environmental Modeling. Any person with an interest in a career in environmental science, policy, or just a general interest in the environment, requires skills in and knowledge of environmental modeling.

TMATH 350/351: Foundations of Mathematical Research/Mathematics Seminar. This course is designed for Junior-level mathematics majors, where you will learn how to read, write, and communicate mathematically. We use LaTeX and Beamer for our writing and oral presentations. We spend much of the quarter researching a potential capstone project and developing a proposal for that project. This is also associated with a seminar series. See here for the Autumn 2022 schedule. Math Enthusiast Series Autumn 2022