Shared LACOL Course: Data Confidentiality (MATH 301)
Instructor: Professor Jingchen (Monika) Hu, Vassar College
Topics and Objectives: Statistical agencies are under legal obligation to protect survey respondents’ privacy when releasing respondent-level data to the public. Statistical models could facilitate such release by introducing perturbation to the original, confidential data. How to develop suitable statistical models, and how to evaluate the privacy protection they produce, are the focus of this intensive.
Shared LACOL Course: Bayesian Inference with Python (MATH 399)
Instructor: Professor Jingchen (Monika) Hu, Vassar College
Topics and Objectives: We will focus on computational techniques using Python programming language to estimate various Bayesian models. In the end, students propose and complete a data analysis project of their interests and present it to the group.
*Pending local approvals, this course is open to students in The Liberal Arts Collaborative for Digital Innovation (LACOL), a partnership of Amherst College, Bryn Mawr College, Carleton College, Davidson College, Hamilton College, Haverford College, Swarthmore College, Vassar College, Washington and Lee University, and Williams College
