ITTW2021: IT Teaching Workshop 2021
(Open Access)
Repository of slides from 2021 IT Teaching Workshop, hosted by Georgia Tech (virtual).
Source: https://simon.rochester.edu/simon-events/2021-it-teaching-workshop
Created by Natural Stupidity on 2025-05-06
ITTW2023: IT Teaching Workshop 2023
(Open Access)
Repository of slides from 2023 IT Teaching Workshop, hosted by Boston University.
Source: https://www.bu.edu/dbi/events/it-teaching-workshop/
Created by Natural Stupidity on 2025-05-06
ITTW2024: IT Teaching Workshop 2024
(Open Access)
This is a repository of teaching materials shared by participants of the 2024 IT Teaching Workshop hosted by UT Austin.
Created by Huaxia Rui on 2025-05-07
ITTW2019: IT Teaching Workshop 2019
(Open Access)
This is a repository of teaching materials shared by participants of the 2019 IT Teaching Workshop hosted by Wharton. Source: https://simon.rochester.edu/simon-events/2019-it-teaching-workshop
Created by Huaxia Rui on 2025-05-11
ITTW2025: IT Teaching Workshop 2025
(Open Access)
Repository of slides from 2025 IT Teaching Workshop, hosted by University of Delaware. Source: https://sites.udel.edu/it-teaching-workshop/
Created by Huaxia Rui on 2025-05-17
GBA411: Business Modeling
(Open Access)
The course is structured in three parts. In the first part you will learn how
to model business decision problems in a structured way using spreadsheets. In the second part,
you will learn how to use the computer to solve complex decision problems involving many variables
and constraints. In the third part, you will learn Monte Carlo simulation so that you will have a
framework for understanding and analyzing uncertainty in business.
Created by Huaxia Rui on 2025-04-26
MSM505: Stochastoc Process
(Open Access)
This is a PhD level course on stochastic process. We introduce the general concepts and
properties of (mostly discrete-time) stochastic processes which lays the foundation for more
detailed studies of various types of stochastic processes encountered in business research. We
will focus on the classical renewal theory and Markov chain theory. Towards the end, we
unify them in the framework of Markov renewal theory. We will spend the last week or two
to discuss applications, with a particular emphasis on Markov decision process.
Created by Huaxia Rui on 2025-04-26