INTEGRATIVE CAPSTONE EXPERIENCE

In this course students will synthetize knowledge from the core with knowledge from both specific department required courses and from certificate required courses. The course deliverable is a written paper combining analyses of a student’s selected data set that uses two of the following methods: (linear regression, logistic regression, nonlinear modeling, mixed effect modeling, machine learning, survival analyses). Students will demonstrate understanding of summarizing (numerically and graphically) data for purposes of specific analyses, presenting results, and interpreting them in the context of public health. Finally, students will also demonstrate the ability to present various stages of the analyses, to ask questions in large collaborative settings, and to troubleshoot their work.