I believe I truly understand an idea when I can teach it to someone else. A concept may seem clear in my own mind until a student asks a question I cannot answer simply. Preparing to teach makes me examine what I have taken for granted, find a clearer explanation, and show why the idea matters in a real decision. Teaching is a test of my understanding, and it keeps me learning.
Teaching is also a way to make an impact. I want students to leave with more than a method or a formula. I want them to ask better questions, reason through uncertainty, and explain the choices they make. When they carry those habits into their work and teach them to others, the value of a lesson reaches far beyond the classroom.
SINGAPORE MANAGEMENT UNIVERSITY
This course equips students to make data-driven supply chain decisions, from performance benchmarking and new product launch planning to forecasting, inventory management, revenue management, and distribution network design. Students use real-world data, analytical models, and optimization to connect quantitative insights with managerial decisions.
Course materials are shared with enrolled students.
Students use optimization, probability, decision trees, simulation, and spreadsheet models to make well-reasoned decisions. The course emphasizes translating uncertainty and business constraints into clear managerial choices.
Open lecture note ↗Additional course materials are shared with enrolled students.
PREVIOUS TEACHING
R programming, data manipulation and visualization, predictive analytics, and applied machine learning.
Open course notes ↗Business analytics, data visualization, statistical reasoning, forecasting, and storytelling with data.
Quantitative methods for supply chain analysis, simulation, optimization, and spreadsheet modeling.