Below is a selection of dissertations and theses from the Computational and Data Sciences program in Schmid College that had been voluntarily included in Chapman University Digital Commons. To view additional dissertations from 2018 or earlier, please visit the Leatherby Libraries' print collection or in Proquest's Dissertations and Theses database. For dissertations and theses from 2019 or later, please visit the appropriate collections on the Chapman Digital Commons:


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