Barrett, The Honors College Thesis/Creative Project Collection
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 66
Description
The following paper presents a case study within the Aerospace industry of a contract between two companies that are working together on an international level. A review of pertinent literature is used to further understand contract manufacturing as it is derived from outsourcing. Additionally, there is discussion of the forms and methods of communication that are used between organizations and the implications that these have upon the functioning of inter-organizational agreements. The case study focuses primarily upon the communications that have been implemented within a contract manufacturing setting to enable two competing Aerospace manufacturers to work together on a multi-year project.
ContributorsTagtmeyer, Robert Jon (Author) / Carter, Joseph (Thesis director) / Printezis, Antonios (Committee member) / Barrett, The Honors College (Contributor) / School of Earth and Space Exploration (Contributor) / Department of Supply Chain Management (Contributor)
Created2015-05
Description
Fiddlevent is an event searching website written in Ruby on Rails. Fiddlevent enables any person to go online and find local events that interest him. Fiddlevent also enables merchants to post their events online. Fiddlevent explores all challenges of website development, such as project management, database design, user interface design, deployment and the software development lifecycle. Fiddlevent aims to utilize best practices for website and software development.
ContributorsThornton, Christopher Gordon (Author) / Balasooriya, Janaka (Thesis director) / Nakamura, Mutsumi (Committee member) / Hurst, Charles (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
Description
Web-application development constantly changes \u2014 new programming languages, testing tools and programming methodologies are often proposed. The focus of this project is on the tool Selenium and the fairly new technique known as High Volume Automated Testing (HVAT). Both of these techniques were used to test the Just-in-Time Teaching and Learning Classroom Management System software. Selenium was used with a black-box testing technique and HVAT was employed in a white-box testing technique. Two of the major functionalities of this software were examined, which include the login and the professor functionality. The results of the black-box testing technique showed parts of the login component contain bugs, but the professor component is clean. HVAT white-box testing revealed error free implementation on the code level. We present an analysis on a new technique for HVAT testing with Selenium.
ContributorsEjaz, Samira (Author) / Balasooriya, Janaka (Thesis director) / Nakamura, Mutsumi (Committee member) / Wilkerson, Kelly (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
Description
We created an Android application, Impromp2, which allows users to search for and save events of interest to them in the Phoenix area. The backend, built on the Parse platform, gathers events daily using Web services and stores them in a database. Impromp2 was designed to improve upon similarly-purposed apps available for Android devices in several key ways, especially in user interface design and data interaction capability. This is a full-stack software project that explores databases and their performance considerations, Web services, user interface design, and the challenges of app development for a mobile platform.
ContributorsNorth, Joseph Robert (Author) / Balasooriya, Janaka (Thesis director) / Nakamura, Mutsumi (Committee member) / Faucon, Philippe (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
My proposed project is an educational application that will seek to simplify the<br/>process of internalizing the chord symbols most commonly seen by those learning<br/>musical improvisation. The application will operate like a game, encouraging the<br/>user to identify chord tones within time limits and award points for successfully<br/>doing so.
ContributorsOwens, Kevin Bradyn (Author) / Balasooriya, Janaka (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Behavioral economics suggests that emotions can affect an individual’s decision making. Recent research on this idea’s application on large societies hints that there may exist some correlation or maybe even some causation relationship between public sentiment—at least what can be pulled from Twitter—and the movement of the stock market. One major result of consistent research on whether or not public sentiment can predict the movement of the stock market is that public sentiment, as a feature, is becoming more and more valid as a variable for stock-market-based machine learning models. While raw values typically serve as invaluable points of data, when training a model, many choose to “engineer” new features for their models—deriving rates of change or range values to improve model accuracy.
Since it doesn’t hurt to attempt to utilize feature extracted values to improve a model (if things don’t work out, one can always use their original features), the question may arise: how could the results of feature extraction on values such as sentiment affect a model’s ability to predict the movement of the stock market? This paper attempts to shine some light on to what the answer could be by deriving TextBlob sentiment values from Twitter data, and using Granger Causality Tests and logistic and linear regression to test if there exist a correlation or causation between the stock market and features extracted from public sentiment.
Since it doesn’t hurt to attempt to utilize feature extracted values to improve a model (if things don’t work out, one can always use their original features), the question may arise: how could the results of feature extraction on values such as sentiment affect a model’s ability to predict the movement of the stock market? This paper attempts to shine some light on to what the answer could be by deriving TextBlob sentiment values from Twitter data, and using Granger Causality Tests and logistic and linear regression to test if there exist a correlation or causation between the stock market and features extracted from public sentiment.
ContributorsYu, James (Author) / Meuth, Ryan (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
My journey through Arizona State University did not start with Supply Chain Management. I began as a Finance Major, but something did not resonate with me. I eventually switched my major to Supply Chain Management in my Junior year, after taking Professor Eddie Davila’s SCM 300 course. The hands-on nature of supply chain management, as well as the broad range of industries it covered, got me hooked. For my alternative thesis, I had to attend four seminars for WPC supply faculty, then write summaries on them. I would then choose one of the four to further extrapolate on and do independent research. However, after attending only two, the COVID-19 outbreak occurred, leading to the cancellation of the remaining seminars. As a result, I was faced with two choices; abandon the thesis project entirely, or work with what I had. With the approval of my director, I decided on the following outline. The first part of this paper will summarize and reflect on the two faculty lectures I was able to attend. The second part of the paper will look at the way COVID-19 has impacted the supply chain of a local business, SilverTree Dentistry. I will use information gathered from the dental office, supplier sites, and online sources as well as from the two faculty lectures to develop a cohesive plan of potential action for SilverTree to better equip themselves and their supply chain to handle the COVID-19 pandemic, as well as how to respond as a small business in future times of crisis. This paper’s focus is on how small business supply chains are disrupted in their areas of supplier selection and supplier power, specifically how those areas affect the business’s spend.
ContributorsMladenov, Stefan Nikolaev (Author) / Oke, Adegoke (Thesis director) / Printezis, Antonios (Committee member) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The purpose of this thesis paper is to discuss the life cycle curves of today’s innovation-driven digital services and how these life cycles can be extended. To decide on this subject, four supply chain management seminars were attended and summarized, and personal notes were added. After analysis of the seminars, the paper will dive deeper into the topic discussed by Professor Adegoke Oke of Arizona State University in his lecture on innovation-driven life cycle curves and their exemplification of the shark fin curve. This paper will analyze the nature of product life cycle curves, discuss three PC games and their life cycle curves, and evaluate the best methods for creating life cycle extension.
ContributorsDriscoll, Trevor (Author) / Oke, Adegoke (Thesis director) / Printezis, Antonios (Committee member) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Coffee is one of the most widely consumed beverages in the world, with a staggering 1.4 billion cups of coffee poured a day (Coffee Consumption around the World). One-point six percent of total US GDP is made up by coffee operations and fuels 1.6 million jobs in the United States (The Global Coffee Industry). However, with an increasingly complex political and economic world, along with the threat of climate change, the world’s coffee supply is at risk of total collapse. There are two primary varieties of coffee consumed in the world, Arabica and Robusta coffee. Most coffee producing countries run along the equator and are generally classified as developing economies. The global south is relied upon for coffee production. “Across Mexico and Central America, over 4 million people depend directly on coffee production for their livelihoods” (An Integrated Framework). Coffee production helps boost these economies and support families financially, with many workers having to support dependent individuals.
ContributorsWinter, Lauren Dorothy (Author) / Keane, Katy (Thesis director) / Printezis, Antonios (Committee member) / Department of Supply Chain Management (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The bulk of this thesis is the translation itself—of Episodes 8-10—with timed subtitles. However, I also wanted to provide commentary on a few issues of interest that I came across during the translation. Conveying meaning from one language to the other does not simply involve translating the denotations of each word, but also the social context, humor, tone, and other aspects surrounding the situation. Whether words are used individually to interject, or come together to form unique idioms or phrases, the challenge presented to the translator is the choices: what words do I select to best convey not only the dictionary sense, but also the contextual meaning? This is especially difficult in wordplay-type situations. If there’s no perfect option, can I find a cultural analog that differs from the original denotation, but preserves the intention of the words? Otherwise, do I find the original important enough that it is worth educating the reader in order to preserve it—or, do I see no other translation option but to educate as a last resort? These are all choices that I had to make, and in this thesis I will be discussing the most interesting situations that came up, and my choices in dealing with them.
ContributorsLiong, Katerina Vakana (Author) / Tueller, Michael A. (Thesis director) / Printezis, Antonios (Committee member) / School of Life Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05