This course presents advanced techniques for management and analysis of multiple quantitative variables. Topics include analysis of longitudinal datasets, multivariate regression, multi-level modeling, machine learning, and advanced methods of student interest using R. Graduate.
This course provides an introduction to social determinants of health and social justice from a public health perspective. Topics include poverty, food insecurity, neighborhood inequality, education gap, healthcare ethics, and reflective practice. Undergraduate.
This course provides an introduction to data management strategies, descriptive and inferential statistics and the use of data management and analysis packages. Topics include descriptive analysis of cross-sectional datasets, data wrangling, missing data treatments, visualizations, and bivariate inferential statistics using R. Graduate.
This workshop will describe inclusive and equitable teaching, discuss teaching philosophies, and practice developing accessible syllabi.
Challenging students can mean exploring sensitive topics. This workshop overviews lecture planning, emphasizing expertise, self care, and using experience as a teaching aid.
Learn how to assess student understanding in course design, identify and talk with students falling behind and get to know institutional resources to support teaching.
Mentorship is a key part of graduate student learning and wellness. Learn about mentorship philosophies, developing a dissertation committee, and team meetings.
There’s so much to learn as a developing educator. This workshop discusses teaching and job negotiation, strategies to balance responsibilities, and designing syllabi.
Teaching is a big part of being a professor. Learn how to write teaching statements for job applications and discuss teaching and mentorship experience during campus visits.
Are you working on your first lecture or honing public speaking skills? We will overview planning, practice speaking, and discuss active learning and accessibility.