ESTDatS Curriculum Development
Before joining VIMS, ESTDatS Director Grace Chiu was her academic college's coordinator of the tri-college Master of Applied Data Analytics program at the Australian National University.
Here at VIMS, Grace continues to innovate statistics curricula tailored to professionals who employ statistical and data scientific principles in cross-disciplinary pursuits. In conjunction with the VIMS Quantitative Skills Committee, Academic Council, Associate Dean of Academic Studies, and faculty members, she has been developing new graduate level statistics courses to address the modern quantitative needs of graduate students at VIMS.
Newly developed VIMS courses
- Bayesian Methods for First Time Practitioners (MSCI 698, 2019 Summer)
- Beginner Bayesian Modeling (MSCI 698, 2021 Summer)
- Dependent Data Structure Modeling (MSCI 679, annually since 2021 Spring; MSCI 698, 2020 Spring)
- Foundations of Statistics and Data Science (MSCI 556, 2023 Spring)
- Principles of Bayesian modeling of spatial and spatio-temporal processes (MSCI 698, 2022 Summer, 2020 Summer)
- TBA