Below is a selection of dissertations from the Computational and Data Sciences program in Schmid College that have been voluntarily included in Chapman University Digital Commons. Some may be restricted to Chapman users only. Additional dissertations are available through the Leatherby Libraries' print collection or in Proquest's Dissertations and Theses database.

If you are a previous student and would like to include your dissertation or thesis in Chapman University Digital Commons, please contact Kristin Laughtin-Dunker at


Theses from 2017


Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods, Michael Schwartz

Theses from 2016


Assisting Children Action Association Through Visual Queues and Wearable Technology, Anthony Young

Theses from 2015


An Application of the Autism Management Platform to Tracking Student Progress in the Special Education Environment, Ryan Thomas Burns