Journey Through The World of Analytics
Workshop for Community College Faculty
Thursday, June 22 & Friday, June 23, 2023
Join us for a two-day professional development workshop in analytics designed for community college educators. Discover how to harness the power of data to produce smart solutions to challenges in every industry, from supply chains to finance, from e-commerce to transportation. Teach your students how to use analytics to build new products and services in the 21st century.
Use analytics & operations research to enrich curriculum, unlock career opportunities, and empower students.
The workshop is organized by UC Berkeley IEOR Department, in partnership with the NSF AI Institute for Advances in Optimization.
Workshop Agenda
Thursday, June 22 & Friday, June 23
UC Berkeley Campus (exact location pending)
Day 1
8:00 am - 9:00 am: Group Breakfast
9:00 am - 9:15 am: Opening remarks by Prof. Alper Atamturk, Chair of IEOR Department
9:15 am - 10:45 am: Optimization Modeling (Prof. Paul Grigas): Introduction to linear and integer optimization modeling and geometric intuition. Examples from diet planning to meet nutritional needs, and production planning with resource constraints. Overview of the landscape of optimization problems and applications.
10:45 am - 11:00 am: Tea & Coffee Break
11:00 am - 12:30 pm Modeling Uncertainty in Analytics: (Prof. Zeyu Zheng): Review on probability and statistics. Examples of uncertainty in the service system, uncertainty in production and supply chain, and uncertainty in financial markets.
12:30 pm - 2:00 pm: Lunch
2:00 pm - 3:30 pm: Data Analytics and an Optimization Perspective on Machine Learning (Prof. Paul Grigas): Introduction to linear regression for predicting the sale price of homes, using the Ames Housing Dataset. The least squares problem, geometric intuition, and a brief overview of some extensions for large-scale problems.
3:30 pm - 3:45 pm: Tea & Coffee Break
3:45 pm - 5:15 pm: Decision Making under Uncertainty (Prof. Zeyu Zheng): How will uncertainties affect our decision-making in financial portfolio, staffing for service systems, and supply chain arrangements? Introduction to Monte Carlo simulation, simulation analytics, data-oriented decision-making under uncertainty, and stochastic optimization.
5:30 pm - 7:00 pm: Dinner
Day 2
8:00 am - 9:00 am: Group Breakfast
9:00 am - 10:15 am: Financial modeling and risk management (Prof. Thibaut Mastrolia). How to find the fair price of a financial product? Arbitrage theory and application to the pricing and hedging of European Call/Put options in the binomial model.
10:15 am - 10:30 am: Tea & Coffee Break
10:30 am - 12 pm: Contract theory and applications (Prof. Thibaut Mastrolia). How incentivize optimally one or multiple agents for higher interests than their own? Principal-Agent problems and incentive theory, moral hazard and brief review of possible applications.
12:00 pm - 1:00 pm Lunch
1:00 pm - 2:30 pm Analytics of Choice (Prof. Rajan Udwani): How do we choose between comparable options? How can we model choice? We will learn how to model choice behavior with the Multinomial Logit Choice model and discuss an application in designing school choice in public school systems.
2:30 pm - 2:45 pm: Tea & Coffee Break
2:45 pm - 4:00 pm: Matching (Prof. Rajan Udwani): We will learn about the classic Stable Matching problem and parts of the Nobel prize-winning work of Gale, Shapley and Roth on this problem. We will learn how the model is used for assigning schools in the public school system.
4:00 pm - 4:15 pm: Tea & Coffee break
4:15 pm - 5:15 pm: Q&A session: Creating your Analytics and Operations Research course
