Over the past two decades at RPI, I’ve taught an unusually broad range of topics—database design, quantitative methods, internet marketing, entrepreneurship, applied machine learning, and applied projects. My teaching philosophy adapts to the type of course, but the central theme remains constant: fundamental shifts in the economics of data creation, storage, and use are transforming individuals, organizations, and markets.
Current Courses
MGMT6841
Practicum in Management (MBA Project Course)
Applied project course where MBA students work on real data science and analytics challenges with industry partners. Students develop compelling professional narratives through hands-on problem-solving.
MGMT6445 / MGMT6790
Business Analytics Capstone
Capstone experience for MS Business Analytics students, partnering with companies to address complex, data-driven problems. Each semester features 4-8 projects from a diverse mix of established firms and startups.
MGMT4530/6630
Starting a New Venture
Entrepreneurship course covering opportunity identification, customer discovery, business model development, and go-to-market strategy for technology-based ventures.
ITWS4500
Agentic AI and Web Systems Development (Spring 2026)
New course introducing students to cutting-edge approaches in cloud deployment and agentic AI development, ensuring ITWS coursework remains current with modern techniques. Course materials available at web.biggermatrix.com.
Past Courses
MGMT4190/6560
Introduction to Machine Learning Applications
Developed core course taking students from Python basics through deep learning applications. Now taught by multiple instructors across Business Analytics, Supply Chain, and Finance programs. Course materials available at introml.analyticsdojo.com.
ITWS
Quantum-Inspired Optimization (Fall 2025)
One-credit pilot course developed in collaboration with BQP, engaging students in exploring quantum-inspired optimization. Materials at quantum.analyticsdojo.com.