Teaching & Curriculum Development
My teaching helps students understand how information, technology, and analytical methods shape organizations, business processes, and decision-making.
As an Information Systems and Business Analytics educator, I emphasize conceptual foundations, analytical reasoning, and applied problem-solving. Students should understand not only how methods and technologies work, but also when they are appropriate, what assumptions they involve, and how to evaluate their limitations.
Curriculum Development
At the University of Wisconsin–Eau Claire, I initiated and developed two undergraduate courses contributing to the College of Business curriculum. Both connect enduring disciplinary foundations with emerging business and technological challenges.
IS 480 — Advanced Business Analytics
I developed and have taught this upper-division course, which introduces predictive and exploratory modeling, machine learning, text analytics, and the evaluation of analytical results. Students practice formulating business questions, selecting suitable methods, assessing data and model limitations, and communicating defensible findings. The course contributes to the undergraduate business curriculum and Business Analytics certificate.
IS 360 — AI Systems in Business
I initiated and developed this undergraduate course to build students' understanding of AI systems, their capabilities and limitations, and their implications for business processes and organizational decision-making. The course emphasizes foundational understanding and responsible evaluation of AI in organizational contexts. It has received curriculum approval and is scheduled for its first offering in Spring 2027.
Teaching Areas
Information Systems and Business Processes
How information systems support organizational operations, processes, and decisions, including relationships among people, information, technology, and business needs.
Business Analytics and Data-Driven Decision-Making
How to formulate analytical questions, assess evidence, evaluate methods, and interpret results in a business context.
Artificial Intelligence and Emerging Technologies
Foundations, applications, opportunities, and limitations of AI and emerging technologies, with attention to organizational implications and responsible use.
Systems Analysis and Development
How information systems are conceptualized, designed, and developed to address organizational problems and support business objectives.
Teaching Philosophy
Technical proficiency alone is not enough for effective decision-making. I emphasize three complementary learning goals: conceptual understanding of systems and analytical foundations; applied problem-solving through business-relevant exercises and projects; and critical evaluation of information quality, methodological choices, and technological limitations.
My research on digital behavior, information quality, trust, and human–AI interaction informs this approach, reinforcing the importance of independent judgment when interpreting information and AI-assisted outputs.
Student Mentorship and Engagement
I serve as the faculty advisor and mentor for the Leadership & Technology Club at UW–Eau Claire. This role complements my classroom teaching through student mentorship and engagement beyond formal coursework.