Dear colleagues,
How to turn a rigorous analytics course into an interactive fun-filled learning experience? How to prepare students to meet the new challenges of the job market that demand both management and analytics skills?
You are invited to an online workshop: "Best Practices of Teaching Supply Chain Management and Analytics", which is free and intended for instructors developing new courses or improving existing ones on supply chain management and analytics, for undergraduate or master's students.
Topics:
1. Inventory Analytics & Market Intelligence: Unfold the impact of inventory on firms' financial and stock market performance by data visualization and interpretation.
2. Sourcing Analytics: Teach how to explore and rationalize sourcing opportunities globally.
3. Hunger Games: Understand the cause and solution to panic orders and hoarding under supply shortages as we experienced in the pandemic.
4. Flower Games: Make the hardest (and important) topic in SCM: supply chain contracts and collaboration, easy to learn and fun.
Dates: August 5,6,7,8, 2-3pm ET (New York Time), 2024.
Join us online for the best experience or receive recordings through registration:
https://rutgers.zoom.us/meeting/register/tJMpdOygqT0vGN29TSo0joHxWz0biS9KNmOK
Feedback:
· Student: "No one truly enjoys analyzing data, but when you analyze it in a way that is so visually informative, I found that to be tremendously helpful and fun. I don't know that I would've been provided the opportunity to do so anywhere else."
· Instructor: "For this year's EMBA teaching, I got 5.0 [out of 5.0] … The game is so awesome that is enthusiastically received by my students".
Bio: Yao is a professor of Supply Chain Management at Rutgers University. He won the 1st prize of INFORM Case Writing Competition 2014 and the Dean's Meritorious Teaching Award 2016. His instructional game "Hunger Chain simulation" won DSJIE Best Teaching Brief award in 2021. Modules of his book, "Supply Chain Analytics: Cases, Games and Solutions" (https://yzhao12345.github.io/#book), have been adopted by numerous instructors from around the world.
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Yao Zhao
Professor
Rutgers University
Newark NJ
https://yzhao12345.github.io/------------------------------