Teaching
ACTSCI:301 Actuarial Science Methods II (Lecturer - Undergraduate course)
- 2024 Spring: In-person
- 2023 Fall: In-person
- 2023 Spring: In-person
- 2022 Fall: In-person
- 2022 Spring: In-person
- 2021 Fall: In-person
- 2021 Spring: Online
- 2020 Fall: Online
Course Description: Develop a knowledge of mathematical tools for quantitatively assessing financial risk. Emphasize the applications to problems encountered in actuarial science.
GENBUS:656 Machine Learning for Business Analytics (TA - Graduate course)
- 2023 Fall
- 2022 Fall
- 2021 Fall
Course Description:
An introduction to machine learning foundations, different methodological approaches, and implementation tools for machine learning for business applications. The methods include both supervised learning techniques as well as unsupervised learning techniques.
GENBUS:307 Business Analytics II (TA - Undergraduate course)
- 2020 Spring
- 2019 Fall
Course Description: Emphasis on hands-on experience with many commonly used analytic methodologies using the modeling and optimization tools with a focus on predictive and prescriptive analytics.
GENBUS:306 Business Analytics I (TA - Undergraduate course)
- 2019 Spring
- 2018 Fall
Course Description: Development of quantitative intuition through practical application and utilization of analysis tools, with an emphasis on hypothesis testing and regression analysis and include an introduction to simulation methods.