1. Understanding Undergraduates' Perceptions of Student Debt Visualizations: A Human-Centered Approach Open Access Author: Hubbard, Glenn Title: Understanding Undergraduates' Perceptions of Student Debt Visualizations: A Human-Centered Approach Area of Honors: Data Sciences Keywords: Data ScienceVisualizationDebtStudent DebtHuman-Computer InteractionHCIDSCSPythonExcelPsychologyInterpretivistGrounded TheoryUndergraduateStudyHuman-CenteredFinanceAmortizationChartGraphLine GraphBar GraphStacked Bar GraphPlotlyMortgageDebt CrisisDesign File: Download Hubbard_Thesis_Final.pdf Thesis Supervisors: Syed M. Billah, Thesis SupervisorJohn Yen, Thesis Honors Advisor
2. Predicting 30-Day ICU Readmission Rates Using Machine Learning on Electronic Health Records Open Access Author: Farooq, Sarah Title: Predicting 30-Day ICU Readmission Rates Using Machine Learning on Electronic Health Records Area of Honors: Data Sciences Keywords: machine learningclassificationEHRdataelectronic health recordshospitalICUreadmissionclass imbalancemissing valuesimputationrebalancinghospital readmissionpatientmedical dataXG BoostMICE data imputationhealthhealth caremodelsupervised learningmodel performance File: Download SarahFarooq_Honors_Thesis.pdf Thesis Supervisors: Fenglong Ma, Thesis SupervisorJohn Yen, Thesis Honors Advisor
3. Modeling Stock Return Volatility, a Comparative Approach Open Access Author: Krimetz, Robert Title: Modeling Stock Return Volatility, a Comparative Approach Area of Honors: Data Sciences Keywords: Stock Volatilitytime series modelsBayesian ModelsProbabilistic ProgrammingMarkov chain Monte CarloHamiltonian Monte CarloImplied VolatilityRealized Volatility File: Download Krimetz_Robert_Modeling_Stock_Return_Volatility_a_Comparative_Approach.pdf Thesis Supervisors: Matthew D Beckman, Thesis SupervisorAnh Tuan Le, Thesis Honors AdvisorJeremy Seeman, Faculty Reader
4. Anxiety Levels Throughout the Covid Pandemic: A Comparative Study of Age Groups and U.S. States Restricted (Penn State Only) Author: Zhu, Alex Title: Anxiety Levels Throughout the Covid Pandemic: A Comparative Study of Age Groups and U.S. States Area of Honors: Data Sciences Keywords: Data AnalyticsMachine Learning File: Login to Download Thesis Supervisors: Kaamran Raahemifar, Thesis SupervisorEdward J Glantz, Thesis Honors Advisor