Digital Commons Network^™

Robust Regression Methods For Massively Decayed Intelligence Data, Akiva Joachim Lorenz

Wayne State University Dissertations

Homeland Security, sponsored by governmental initiatives, has become a vibrant academic research field. However, most efforts were placed with the recognition of threats (e.g. theory) and response options. Less effort was placed in the analysis of the collected data through statistical modeling. In a field that collects more than 20 terabyte of information per minute though diverse overt and covert means and indexes it for future research, understanding how different statistical models behave when it comes to massively decayed data is of vital importance.

Using Monte Carlo methods, three regression techniques (ordinary least squares, least-trimmed, and maximum likelihood) were tested …

Facilitating Student Discussion: The Case Of A Political Scince [Sic] Class, Emma Fitzhugh

Senior Honors Theses and Projects

This case study analyzed four political science simulations in an introductory course with the intent to identify students learning from the simulation and in group collaboration. Though the discussion and collaboration between students surrounds political science topics, the skills students bring into the classroom and acquired during the course can be used in numerous professional fields. The presentation will focus on the scaffolding of assignments and learning that lead up to the classroom simulations. It will also highlight the skills students developed surrounding group collaboration and student's individual conclusions on decision making.