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Building an optimized NBA Team Team Composition: A Sports Analytical Approach

Description

Sports analytics is a growing field that attempts to showcase interesting aspects of a sport with the use of modern technology and machine learning techniques. This thesis will demonstrate how the NBA has progressed in the past decade by comparing the performance have five teams (SAS, OKC, PHO, MIN, and…

Sports analytics is a growing field that attempts to showcase interesting aspects of a sport with the use of modern technology and machine learning techniques. This thesis will demonstrate how the NBA has progressed in the past decade by comparing the performance have five teams (SAS, OKC, PHO, MIN, and SAC). It will also provide key insight on what an NBA team should focus on to build an optimized NBA team composition, which will better their performance in the league, which will improve their chances of making into the playoffs. These teams were chosen after conducting extensive analysis on all NBA teams. These five teams were chosen because of the variability in performance (two successful and three less successful teams). Two successful teams, SAS and OKC, and three less successful teams, PHO, MIN, and SAC, were chosen to exemplify the different approaches of teams in the NBA and to distinguish what an NBA team should consider build an optimized team composition to better their performance in the league stage.

ContributorsJegadesan, Sai (Author) / Shin, Donghyuk (Thesis director) / Benjamin, Victor (Committee member) / Department of Information Systems (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)

Created2021-05

Project Stallion

Description

Creation of a database and Python API to clean, organize, and streamline data collection from an updated Qualtrics survey used to capture applicant information for the Fleischer Scholars Program run by the W. P. Carey UG Admissions Office.

ContributorsGordon, Nicolas A (Co-author) / Moreno, Luciano (Co-author) / Sopha, Matthew (Thesis director) / Moser, Kathleen (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)

Created2021-05

Project Stallion

Description

Creation of a database and Python API to clean, organize, and streamline data collection from an updated Qualtrics survey used to capture applicant information for the Fleischer Scholars Program run by the W. P. Carey UG Admissions Office.

ContributorsMoreno, Luciano (Co-author) / Gordan, Nicholas (Co-author) / Sopha, Matt (Thesis director) / Moser, Kathleen (Committee member) / Stark, Karen (Committee member) / Department of Information Systems (Contributor, Contributor) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)

Created2021-05

Tutoring Center Management System

Description

The Tutoring Center Management System is a web-based application for ASU’s University Academic Success Programs (UASP) department, particularly the Math Tutoring Center. It is aimed at providing a user-friendly interface to track queue requests from students visiting the tutoring centers and convert that information into actionable data with the potential…

The Tutoring Center Management System is a web-based application for ASU’s University Academic Success Programs (UASP) department, particularly the Math Tutoring Center. It is aimed at providing a user-friendly interface to track queue requests from students visiting the tutoring centers and convert that information into actionable data with the potential to live-track and assess the performance of each tutoring center and each tutor. Numerous UASP processes are streamlined to create an efficient and integrated workflow, such as tutor scheduling, tutor search, shift coverage requests, and analytics. The intended users of the application feature ASU students and the UASP staff, including tutors and supervisors.

ContributorsJain, Prakshal (Co-author) / Gulati, Sachit (Co-author) / Nakamura, Mutsumi (Thesis director) / Selgrad, Justin (Committee member) / Department of Information Systems (Contributor) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)

Created2019-12

Timing, Diligence, and Innovation: A Case-Study Determining Mobile Application Success

Description

The purpose of this thesis was to develop a tool to provide information and data for design teams to use throughout the mobile application design process. Ideally, this would enable teams to see patterns in iterative design, and ultimately use data-driven analysis to make their own decisions. The initial problem…

The purpose of this thesis was to develop a tool to provide information and data for design teams to use throughout the mobile application design process. Ideally, this would enable teams to see patterns in iterative design, and ultimately use data-driven analysis to make their own decisions. The initial problem was a lack of available information offered by mobile application design teams—the initial goal being to work closely with design teams to learn their decision-making methodology. However, every team that was reached out to responded with rejection, presenting a new problem: a lack of access to quality information regarding the decision-making process for mobile applications. This problem was addressed by the development of an ethical hacking script that retrieves reviews in bulk from the Google Play Store using Python. The project was a success—by feeding an application’s unique Play Store ID, the script retrieves a user-specified amount of reviews (up to millions) for that mobile application and the 4 “recommended” applications from the Play Store. Ultimately, this thesis proved that protected reviews on the Play Store can be ethically retrieved and used for data-driven decision making and identifying patterns in an application’s iterative design. This script provides an automated tool for teams to “put a finger on the pulse” of their target applications.

ContributorsDyer, Mitchell Patrick (Author) / Lin, Elva (Thesis director) / Giles, Charles (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)

Created2016-12

Building a Financial Calculator to Provide Users with the Tools to Make Better Financial Decisions

Description

Financial decisions, which are major life decisions, can often be overly complicated. Day-to-day financial calculations and investment decisions can be time-consuming and prone to human error. Thus, keeping in mind the complicated nature of finance and the heavy dependence on these formulas for decision-making, the need for a comprehensive financial…

Financial decisions, which are major life decisions, can often be overly complicated. Day-to-day financial calculations and investment decisions can be time-consuming and prone to human error. Thus, keeping in mind the complicated nature of finance and the heavy dependence on these formulas for decision-making, the need for a comprehensive financial calculator rises. The financial calculator is a set of comprehensive logical formulas that takes user input and provides recommendations along with numerical values. The program uses Python scripting language and is focused on the core logic. The program also uses a variety of finance topics and related concepts.

ContributorsJee, Ambika (Author) / Hoffman, David (Thesis director) / McDaniel, Cara (Committee member) / Barrett, The Honors College (Contributor) / School of Criminology and Criminal Justice (Contributor) / Department of Information Systems (Contributor)

Created2023-05

Differentiating Between Product and Marketing Trademarks

Description

Trademarks are a unique instrument of the legal system that allows organizations and individuals to claim legal ownership over a symbol, word, or set of words that they believe represent their product/service or marketing efforts. Recent studies investigate new trademarks to gain insights into an organization’s product development and marketing…

Trademarks are a unique instrument of the legal system that allows organizations and individuals to claim legal ownership over a symbol, word, or set of words that they believe represent their product/service or marketing efforts. Recent studies investigate new trademarks to gain insights into an organization’s product development and marketing innovation. My Barrett honors thesis is based on expanding a novel comprehensive dataset of new trademarks using state-of-the-art processing workflow techniques. I also examine the differentiating factors between new product and marketing trademarks. Finally, I investigate the effects of new trademarks on future cash flow from operations and return on assets.

ContributorsReisslein, Tom (Author) / Faurel, Lucile (Thesis director) / Hugon, Artur (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor)

Created2024-05

Investing With Python: Rule-Based Stock Portfolio Management

Description

My creative project is a Python program designed to simulate a $100,000 stock portfolio using real data about the stock market. It runs continuously on my computer and executes the main body of the code once per day at 11:00 am AZ time. It will pull prices from the internet…

My creative project is a Python program designed to simulate a $100,000 stock portfolio using real data about the stock market. It runs continuously on my computer and executes the main body of the code once per day at 11:00 am AZ time. It will pull prices from the internet for all stocks in the S&P 500 between 07/01/2023 and now. Each day, the program outputs two .csv files showing the makeup of the portfolio and an aggregated list of all transactions that have taken place. The financial decisions are made using Modern Portfolio Theory and the Efficient Frontier model, balancing risk and maximizing the Sharpe ratio to create the most mathematically optimal portfolio. There is a lot of documentation available to users to show the process of the code through daily executions, how to install required packages, and ultimately how to use the program. It was designed as a simulation for this project but has the potential to be expanded beyond its current bounds and eventually become a legitimate algorithm trading bot.

ContributorsAmazeen, Andrew (Author) / Sopha, Matt (Thesis director) / Pruitt, Seth (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / Department of Information Systems (Contributor)

Created2024-05

Optimization of the Identification Process of Imaging Markers of Health in Middle-Aged & Older Adults Susceptible to Cognitive Decline using Python Programming Analysis

Description

This paper describes a project involving the optimization of the analysis process of FreeSurfer and ANTS Registration for neuroscience analytics of patients at risk of cognitive decline using Nipype. The paper details the process of discovering more about Nipype, learning to use a supercomputer, and implementing the open-source python code…

This paper describes a project involving the optimization of the analysis process of FreeSurfer and ANTS Registration for neuroscience analytics of patients at risk of cognitive decline using Nipype. The paper details the process of discovering more about Nipype, learning to use a supercomputer, and implementing the open-source python code to fit the needs of the research lab. Nipype is a python-based initiative to unify the various software packages used within the neuroscience community for data analysis. This paper also serves as documentation of the steps taken to complete the project so that future students are able to continue the optimization process to result in one cohesive workflow in which data is able to flow through a unified pipeline of analysis in the future.

ContributorsCave, Elizabet (Author) / Ofori, Edward (Thesis director) / Sopha, Matthew (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor)

Created2023-05

Effects of Minimum Wage

Description

The purpose of this paper is to explore and minimum wage and whether it serves its purpose of fighting poverty. After extensive research on the origin and purpose of minimum wage laws in the US via reading different studies and weighing its positive and negative effects, I have found that…

The purpose of this paper is to explore and minimum wage and whether it serves its purpose of fighting poverty. After extensive research on the origin and purpose of minimum wage laws in the US via reading different studies and weighing its positive and negative effects, I have found that minimum wage is not the most effective tool to fight poverty. There exist programs that would be more beneficial in fighting poverty such as earned-income tax credit (EITC) or training programs.

ContributorsHarvey, Vanessa Nicole (Author) / Douglas, Kacey (Thesis director, Committee member) / School of International Letters and Cultures (Contributor) / Department of Information Systems (Contributor) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor, Contributor) / Barrett, The Honors College (Contributor)

Created2020-05

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