ITM 6700 · Graduate
Advanced Data Analytics
Predictive modeling and machine learning applied to business decisions.
Case-driven modeling with oral defense of method choices.
Teaching
Learning that has to survive contact with a real decision
I teach statistics, business analytics, machine learning, and data management — and I design courses so students leave able to act, not only to recall.
- Experiential Learning
- Analytics Education
- AI-Enabled Teaching
- Gamification
- Oral Assessment
- Business Simulations
- Student Engagement
- Mentoring
Teaching philosophy
A student who can run the model but cannot defend the choice has not learned the thing I was trying to teach.
Courses
Eleven courses, three kinds of classroom
From a first encounter with statistical thinking to graduate teams delivering analytics work for external sponsors.
Analytics, Statistics & AI
ITM 6400 · Graduate
Applied Business Analytics
From messy data to a defensible recommendation.
Every deliverable ends in a recommendation, not a model summary.
MBA 6001 · Graduate
Advanced Analytics
Analytics for managers who must interrogate, not build, the model.
Executive-framing exercises and interpretation over computation.
OPM 5020 · Graduate
Applied Business Statistics
Statistical reasoning under real business uncertainty.
Frequent low-stakes retrieval practice via PopQuizBuddy.
ITM 4700 / BTM 4700 · Undergraduate
Machine Learning for Business Analytics
Supervised and unsupervised methods with an emphasis on when to use them.
Model bake-offs where the winning argument matters more than the winning metric.
ITM 3700 / BTM 3700 · Undergraduate
Business Analytics
The core analytics toolkit for business students.
Gamified practice rounds and applied datasets.
Operations & Decision-Making
OPM 2070 · Undergraduate
Introduction to Business Statistics
First contact with statistical thinking for business.
Anonymous question channel to surface confusion early.
ITM 3300 / BTM 3300 · Undergraduate
Database Management Systems
Data modeling, SQL, and how information systems actually store decisions.
Build-a-schema projects from ambiguous requirements.
BIZ 1100 · Undergraduate
Business in Action
An entry point into how business functions connect.
Team challenges and rapid decision exercises.
Experiential / Practicum Education
MBA 6015 · Graduate
Industry Practicum
One-Year MBA teams solve live analytics problems for sponsoring organizations.
Real sponsors, real scope, managed like a delivery program.
BTM 4811 · Undergraduate
Data Analytics Practicum
Undergraduate teams delivering analytics work for external partners.
Client governance, checkpoints, and a final stakeholder presentation.
Evidence
What students and colleagues report back
Recognition selected by students, faculty, and an external corporate program — three independent audiences.
3×
Graduate Business Faculty of the Year
11
Distinct courses taught across BS, MS, and MBA programs
8
Years teaching at the Chaifetz School of Business
Recognized three consecutive award cycles as Graduate Business Faculty of the Year, alongside the Emerson Excellence in Teaching Award and a student-selected honor from Beta Gamma Sigma.
Teaching innovation
Every tool on this site started as a classroom complaint
A problem I ran into while teaching, and the thing I built in response.
Problem
Students hesitate to ask questions in front of eighty peers.
Response
Anonymous Questions PlatformProblem
Written work no longer reliably evidences individual understanding.
Response
QuizBuddy oral assessmentProblem
Attention decays and misunderstanding surfaces too late.
Response
PopQuizBuddy retrieval checksProblem
Analytics is taught as technique, then tested as technique.
Response
Gamelytics decision rounds3 recognitions and eleven courses aside, the part of teaching I find most interesting is the part that is still broken.
Next
The classroom problems above turn into research questions. Here is the agenda they add up to.