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2. MOSCH: A MULTI-OBJECTIVE SPATIAL CLUSTERING ALGORITHM WITH CONSTRAINT-HANDLING METHODS

open_access
Open Access
Author:
Baksa, Bridget Marie
Title:
MOSCH: A MULTI-OBJECTIVE SPATIAL CLUSTERING ALGORITHM WITH CONSTRAINT-HANDLING METHODS
Area of Honors:
Information Sciences and Technology
Keywords:
Artificial Intelligence
Machine Learning
Data Science
Clustering
Algorithms
Information Science
Technology
NYC
CitiBike
Big Data
Software Engineering
Python
File:
Download Bridget_Baksa_-_Schreyer_Thesis.pdf
Thesis Supervisors:
Dr. Abdullah Konak, Thesis Supervisor
Dr. Sandy Feinstein, Thesis Honors Advisor

3. A Comparative Analysis on the Ability of Machine Learning Models to Create a Housing Price Index Using Integrated New York City Housing and School Performance Data

open_access
Open Access
Author:
Gault, William
Title:
A Comparative Analysis on the Ability of Machine Learning Models to Create a Housing Price Index Using Integrated New York City Housing and School Performance Data
Area of Honors:
Data Sciences
Keywords:
Data Science
Machine Learning
Feature Engineering
Linear Regression
Neural Network
File:
Download William_Gault_Thesis.pdf
Thesis Supervisors:
John Yen, Thesis Supervisor
John Yen, Thesis Honors Advisor
Suhang Wang, Faculty Reader

7. Modeling of Discrete Dynamic Systems Using an Integrated Operator-and Control- Theoretic Method

open_access
Open Access
Author:
Pandey, Abhinav
Title:
Modeling of Discrete Dynamic Systems Using an Integrated Operator-and Control- Theoretic Method
Area of Honors:
Aerospace Engineering
Keywords:
Machine Learning
Koopman Operator Theory
Analytical Backpropogation
Data Science
Data Driven Modeling
Imitation Learning
Linear Quadratic Regulator
File:
Download Abhinav_Pandey_Honors_Thesis.pdf
Thesis Supervisors:
Daning Huang, Thesis Supervisor
Namiko Yamamoto, Thesis Honors Advisor

8. Understanding Undergraduates' Perceptions of Student Debt Visualizations: A Human-Centered Approach

open_access
Open Access
Author:
Hubbard, Glenn
Title:
Understanding Undergraduates' Perceptions of Student Debt Visualizations: A Human-Centered Approach
Area of Honors:
Data Sciences
Keywords:
Data Science
Visualization
Debt
Student Debt
Human-Computer Interaction
HCI
DS
CS
Python
Excel
Psychology
Interpretivist
Grounded Theory
Undergraduate
Study
Human-Centered
Finance
Amortization
Chart
Graph
Line Graph
Bar Graph
Stacked Bar Graph
Plotly
Mortgage
Debt Crisis
Design
File:
Download Hubbard_Thesis_Final.pdf
Thesis Supervisors:
Syed M. Billah, Thesis Supervisor
John Yen, Thesis Honors Advisor