Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

Displaying 1 - 10 of 45
Description
This paper is intended to identify a correlation between the winning percentage of sports teams in the four major professional sports leagues in the United States and the GDP per capita of their respective cities. We initially compiled fifteen years of franchise performance along with economic data from the Federal

This paper is intended to identify a correlation between the winning percentage of sports teams in the four major professional sports leagues in the United States and the GDP per capita of their respective cities. We initially compiled fifteen years of franchise performance along with economic data from the Federal Reserve Bank of St. Louis to analyze this relationship. After converting the data into a language recognized by Stata, the regression tool we used, we ran multiple regressions to find relevant correlations based off of our inputs. This paper will show the value of the economic impact of strong or weak performance throughout various economic cycles through data analysis and conclusions drawn from the results of the regression analysis.
ContributorsAndl, Tyler (Co-author) / Shirk, Brandon (Co-author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
This project's goal was to design a Central Processing Unit (CPU) incorporating a fairly large instruction set and a multistage pipeline design with the potential to be used in a multi-core system. The CPU was coded and synthesized with Verilog. This was accomplished by building on the CPU design from

This project's goal was to design a Central Processing Unit (CPU) incorporating a fairly large instruction set and a multistage pipeline design with the potential to be used in a multi-core system. The CPU was coded and synthesized with Verilog. This was accomplished by building on the CPU design from fundamentals learned in CSE320 and increasing the instruction set to resemble a proper Reduced Instruction Set Computing (RISC) CPU system. A multistage pipeline was incorporated to the CPU to increase instruction throughput, or instructions per second. A major area of focus was on creating a multi-core design. The design used is master-slave in nature. The master core instructs the sub-cores where they should begin execution, the idea being that the operating system or kernel will be executing on the master core and the "user space" programs will be run on the sub-cores. The rationale behind this is that the system would specialize in running several small functions on all of its many supported cores. The system supports around 45 instructions, which include several types of jumps and branches (for changing the program counter based on conditions), arithmetic operations (addition, subtraction, or, and, etc.), and system calls (for controlling the core execution). The system has a very low Clocks per Instruction ratio (CPI), but to achieve this the second stage contains several modules and would most likely be a bottleneck for performance if implemented. The CPU is not perfect and contains a few errors and oversights, but the system as a whole functions as intended.
ContributorsKolden, Brian Andrew (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
The goal of our study is to identify socio-economic risk factors for depressive disorder and poor mental health by statistically analyzing survey data from the CDC. The identification of risk groups in a particular demographic could aid in the development of targeted interventions to improve overall quality of mental health

The goal of our study is to identify socio-economic risk factors for depressive disorder and poor mental health by statistically analyzing survey data from the CDC. The identification of risk groups in a particular demographic could aid in the development of targeted interventions to improve overall quality of mental health in the United States. In our analysis, we studied the influences and correlations of socioeconomic factors that regulate the risk of developing Depressive Disorders and overall poor mental health. Using the statistical software STATA, we ran a regression model of selected independent socio-economic variables with the dependent mental health variables. The independent variables of the statistical model include Income, Race, State, Age, Marital Status, Sex, Education, BMI, Smoker Status, and Alcohol Consumption. Once the regression coefficients were found, we illustrated the data in graphs and heat maps to qualitatively provide visuals of the prevalence of depression in the U.S. demography. Our study indicates that the low-income and under-educated populations who are everyday smokers, obese, and/or are in divorced or separated relationships should be of main concern. A suggestion for mental health organizations would be to support counseling and therapeutic efforts as secondary care for those in smoking cessation programs, weight management programs, marriage counseling, or divorce assistance group. General improvement in alleviating poverty and increasing education could additionally show progress in counter-acting the prevalence of depressive disorder and also improve overall mental health. The identification of these target groups and socio-economic risk factors are critical in developing future preventative measures.
ContributorsGrassel, Samuel (Co-author) / Choueiri, Alexi (Co-author) / Choueiri, Robert (Co-author) / Goegan, Brian (Thesis director) / Holter, Michael (Committee member) / Sandra Day O'Connor College of Law (Contributor) / School of Molecular Sciences (Contributor) / School of Politics and Global Studies (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
The purpose of this project was to construct and write code for a vehicle to take advantage of the benefits of combining stepper motors with mecanum wheels. This process involved building the physical vehicle, designing a custom PCB for the vehicle, writing code for the onboard microprocessor, and implementing motor

The purpose of this project was to construct and write code for a vehicle to take advantage of the benefits of combining stepper motors with mecanum wheels. This process involved building the physical vehicle, designing a custom PCB for the vehicle, writing code for the onboard microprocessor, and implementing motor control algorithms.
ContributorsDavis, Severin Jan (Author) / Burger, Kevin (Thesis director) / Vannoni, Greg (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
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Description
This project was centered around designing a processor model (using the C programming language) based on the Coldfire computer architecture that will run on third party software known as Open Virtual Platforms. The end goal is to have a fully functional processor that can run Coldfire instructions and utilize peripheral

This project was centered around designing a processor model (using the C programming language) based on the Coldfire computer architecture that will run on third party software known as Open Virtual Platforms. The end goal is to have a fully functional processor that can run Coldfire instructions and utilize peripheral devices in the same way as the hardware used in the embedded systems lab at ASU. This project would cut down the substantial amount of time students spend commuting to the lab. Having the processor directly at their disposal would also encourage them to spend more time outside of class learning the hardware and familiarizing themselves with development on an embedded micro-controller. The model will be accurate, fast and reliable. These aspects will be achieved through rigorous unit testing and use of the OVP platform which provides instruction accurate simulations at hundreds of MIPS (million instructions per second) for the specified model. The end product was able to accurately simulate a subset of the Coldfire instructions at very high rates.
ContributorsDunning, David Connor (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-12
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Description
The NFL is one of largest and most influential industries in the world. In America there are few companies that have a stronger hold on the American culture and create such a phenomena from year to year. In this project aimed to develop a strategy that helps an NFL team

The NFL is one of largest and most influential industries in the world. In America there are few companies that have a stronger hold on the American culture and create such a phenomena from year to year. In this project aimed to develop a strategy that helps an NFL team be as successful as possible by defining which positions are most important to a team's success. Data from fifteen years of NFL games was collected and information on every player in the league was analyzed. First there needed to be a benchmark which describes a team as being average and then every player in the NFL must be compared to that average. Based on properties of linear regression using ordinary least squares this project aims to define such a model that shows each position's importance. Finally, once such a model had been established then the focus turned to the NFL draft in which the goal was to find a strategy of where each position needs to be drafted so that it is most likely to give the best payoff based on the results of the regression in part one.
ContributorsBalzer, Kevin Ryan (Author) / Goegan, Brian (Thesis director) / Dassanayake, Maduranga (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
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Description
The purpose of this project was to program a Raspberry Pi to be able to play music from both local storage on the Pi and from internet radio stations such as Pandora. The Pi also needs to be able to play various types of file formats, such as mp3 and

The purpose of this project was to program a Raspberry Pi to be able to play music from both local storage on the Pi and from internet radio stations such as Pandora. The Pi also needs to be able to play various types of file formats, such as mp3 and FLAC. Finally, the project is also to be driven by a mobile app running on a smartphone or tablet. To achieve this, a client server design was employed where the Raspberry Pi acts as the server and the mobile app is the client. The server functionality was achieved using a Python script that listens on a socket and calls various executables that handle the different formats of music being played. The client functionality was achieved by programming an Android app in Java that sends encoded commands to the server, which the server decodes and begins playing the music that command dictates. The designs for both the client and server are easily extensible and allow for any future modifications to the project to be easily made.
ContributorsStorto, Michael Olson (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
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Description
This thesis project provides a thorough cost-benefit analysis of the golf industry in Arizona. We begin by examining the economic, environmental, and social costs that the industry requires. One of the largest costs of the industry is water consumption. Golf courses in Arizona are currently finding ways to reduce water

This thesis project provides a thorough cost-benefit analysis of the golf industry in Arizona. We begin by examining the economic, environmental, and social costs that the industry requires. One of the largest costs of the industry is water consumption. Golf courses in Arizona are currently finding ways to reduce water consumption through various methods, such as turf reduction and increasing the usage of drip irrigation. However, even at current levels of consumption, golf only consumes 1.9% of water in Arizona, compared to the 69% consumed by agriculture. Of the water consumed by the golf industry, 26.3% is wastewater, otherwise known as effluent water. Since the population in Arizona is projected to grow significantly over the next decade, the amount of effluent water produced will also increase. Due to this, we recommend that the golf industry move towards using as much effluent water as possible to conserve clean water sources. Additionally, we examine land allocation and agricultural tradeoffs to the state. Most golf courses are built in urban areas that would not be suitable for agriculture. The same land could be used to build a public park, but this would not provide as many economic benefits to the state. Many courses also act as floodplains which protect the communities surrounding them from flooding. These floodplains have proven to be crucial to protect from occasional flash floods by diverting the excess water away from homes. We also discuss golf's primary social cost in terms of its perception as being a sport played exclusively by privileged and wealthy people. This is proven to be false due to many non-profit organizations centered around the game, as well as municipal courses that provide affordable options for all citizens who want to play. We provide an in-depth analysis of the benefits that the industry provides to the state and its citizens primarily through business and tax revenue, employment, and property values. Including multiplier effects, the golf industry contributed 42,000 full- and part-time jobs, $3.9 billion in sales, $1.5 billion in labor income, and $2.1 billion value added in 2014. An estimated $72 million in state and local taxes were generated from golf facilities alone, without including taxes from indirectly impacted businesses. This tax revenue provides a great benefit to the public sector and increases Arizona's GDP. Also, much of this economic contribution is from the golf tourism industry, which brings new revenue into the state that would otherwise not exist. Golf courses also increase the surrounding real estate prices anywhere from 4.8% to 28%, providing a positive externality to community members in addition to scenic views. Finally, we provide a case study of the Waste Management Phoenix Open (WMO) to illustrate the impact of Arizona's single largest golf event each year. In 2017, the event brought an estimated $389 million into Arizona's economy in one week alone. Also, it regularly hosts massive crowds with a record-breaking 719,179 people attending the event in 2018. The WMO has also taken a "Zero Waste Challenge" to promote eco-friendly and sustainable practices by diverting all of the waste and materials produced by the tournament from landfills. The WMO has been dubbed both the "Greatest Show On Grass" and the "Greenest Show On Grass" due to the entertainment value provided as well as its effort to improve the environment.
ContributorsShershenovich, Andrew (Co-author) / Wilhelm, Spencer (Co-author) / Goegan, Brian (Thesis director) / Van Poucke, Rory (Committee member) / Department of Finance (Contributor) / W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
The goal of this thesis project is to provide insight into the lives of Syrian refugees, asylum seekers, and migrants who have left Syria for the United States within the last 6 years, after the start of the conflict there. I have interviewed individuals who come from different regions of

The goal of this thesis project is to provide insight into the lives of Syrian refugees, asylum seekers, and migrants who have left Syria for the United States within the last 6 years, after the start of the conflict there. I have interviewed individuals who come from different regions of Syria, are members of different religious groups, and who have different opinions in regard to the conflict in Syria. One of the questions that I was most curious to ask and have answered was why America was selected as the final destination for their immigration. Along with their backstories from their time in Syria up until their arrival in the United States, I did research into the immigrants' acclimation process, and whether they feel that private organizations or that our government have helped them in that regard. I also collected data to see what the average amount of time to find a job and become self-sufficient in the United States is for these persons and their families. Although most educated Syrians know French, English, and Arabic, I was proven right in my hypothesis that many refugees have come to the United States knowing little, if any, English. Research was done into the programs that are offered to these people and their personal efforts to learn English were also documented. The primary purpose of this thesis was to find the economic and social effects of Syrian immigrants in the state of Arizona, and hopefully, on a larger scale. It was very challenging to get exact numbers on the amount of refugees and impossible to get specific details in regard to their economic impact on the economy. In order to get an approximation, I read David Card's research into the Mariel Boatlift, which documented the economic effects of Cuban immigrants on the Miami labor market, and Semih Tumen's work, titled, "The Economic Impact of Syrian Refugees on Host Countries: Quasi-Experimental Evidence from Turkey" which provides research-based analysis of the specific effects of Syrian refugees on the economy of Turkey. Conclusions for both the economic and social impact of Syrian refugees in the state of Arizona were made. Due to the current low numbers of Syrian refugees living in Arizona and the mentality that many of them possess, there is a net neutral economic impact. In regard to social impact, I was surprised to learn that the acclimation process for Syrian immigrants is relatively rapid, particularly when compared to other immigrant and refugee populations.
ContributorsGhazoul, John Anthony (Author) / Goegan, Brian (Thesis director) / Bonfiglio, Thomas (Committee member) / Department of Finance (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
This paper intends to analyze the National Football League (NFL) and the role stadiums play within it. The NFL, being the nation's largest professional sports league, has experienced a large amount of volatility over the past couple of decades. Teams have relocated a significant number of times and stadium projects

This paper intends to analyze the National Football League (NFL) and the role stadiums play within it. The NFL, being the nation's largest professional sports league, has experienced a large amount of volatility over the past couple of decades. Teams have relocated a significant number of times and stadium projects have grown in size, cost, and frequency. Because of these observations, we chose to focus in on this particular sports league in order to answer our many questions surrounding the role of a professional sports stadium in the economics of a city. We seek to understand the economics these sports stadiums impact on the league and the cities they reside in. To do this, we compiled data of NFL franchise wins, average ticket prices, stadiums, and franchise values, while researching the stadium building process and referencing the opinions of leading sports economists across the nation. Next, we discussed the process of building a stadium, which entails the core steps of design, construction, cost, and funding. We discuss tax-exempt municipal bonds, and explain what an impact economic analysis is and how teams use them to get cities to support their projects. Moreover, we discuss the threats of relocation and how the NFL can exert pressure on stadium project decisions. Finally, we talk about the future of the NFL, with a new trend of empty stadiums and make predictions for upcoming relocation destinations. Based on these findings, we draw conclusions on the economics of sports stadiums and offer our opinion on the current state of the NFL.
ContributorsGuillen, Sergio (Co-author) / Willms, Jacob (Co-author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05