Matching Items (294)
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- All Subjects: Finance
- All Subjects: Computer Science
- Creators: Barrett, The Honors College
Description
Polar ice masses can be valuable indicators of trends in global climate. In an effort to better understand the dynamics of Arctic ice, this project analyzes sea ice concentration anomaly data collected over gridded regions (cells) and builds graphs based upon high correlations between cells. These graphs offer the opportunity to use metrics such as clustering coefficients and connected components to isolate representative trends in ice masses. Based upon this analysis, the structure of sea ice graphs differs at a statistically significant level from random graphs, and several regions show erratically decreasing trends in sea ice concentration.
ContributorsWallace-Patterson, Chloe Rae (Author) / Syrotiuk, Violet (Thesis director) / Colbourn, Charles (Committee member) / Montgomery, Douglas (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
ContributorsShah, Beejal (Author) / Nakamura, Mutsumi (Thesis director) / Balasooriya, Janaka (Committee member) / Wilkerson, Kelly (Committee member) / Ira A. Fulton School of Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2012-12
Description
Stand-up comedy, as a performance art, has a dearth of serious academic literature and exposition. In this paper, I set out to analyze comedy at the edge, what I refer to as abject comedy. I draw on the major performers in this vein of performance to analyze the effects of their material. Also, I use my more than three years experience in the stand-up world to take a sincere look at the power and effectiveness of this brand of comedy. The abject comedian addresses the personally political narrative of self-discovery, social inequality, and performative boundaries to absolve herself of the existing circumstances she perceives as deplorable and unfounded. I show that abject stand-up exhibits realistic performative change in not only the audience and performer, but in society as a whole. Lastly, I seek out my own motivations for performing stand-up comedy and address my personal relationship with humor and audience interaction, finding that I aim to discover truth, establish uncertainty, and test the limits of social boundaries. At the very least, I aim to make the audience question, to make them think. I do not expect my material to always have my personal intended affect on the audience, but making an affect, sparking a question, challenging the individual's accepted conceptual boundaries, these are my reasons for approaching the stage. Baring my self through a microphone on a well lit stage in a dark room for a group of strangers whose acceptance or denial elevates or remands my spirit; this is my pursuit. This is why I tell jokes
ContributorsRollingher, Daniel (Author) / Fahs, Breanne (Thesis director) / Botham, Thad (Committee member) / Vicich, Tony (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor)
Created2012-12
Description
The goal of this thesis is to motivate college students to be financially aware and drive them toward attainable financial goals and freedom through budgeting. By providing a foundation of financial knowledge, they can begin to make intelligent decisions about their purchases. After they learn about their current spending habits, students can soundly determine what they have monetarily and then how to allocate that money appropriately. The paper outlines different categories these students should focus on fiscally, like rent and housing as the largest expenses and entertainment expenses as a common pitfall in a college student's budget. Constant financial awareness is reiterated throughout, indicating this is a day-to-day skill to develop. The thesis finally ties up with discussing financing options for college and life in general, with student loans, credit cards, and savings.
ContributorsSchachte, Jessica Linn (Author) / Budolfson, Arthur (Thesis director) / Hoffman, David (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2013-12
Description
Twitter has become a very popular social media site that is used daily by many people and organizations. This paper will focus on the financial aspect of Twitter, as a process will be shown to be able to mine data about specific companies' stock prices. This was done by writing a program to grab tweets about the stocks of the thirty companies in the Dow Jones.
ContributorsLarson, Grant Elliott (Author) / Davulcu, Hasan (Thesis director) / Ye, Jieping (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-05
Description
The object of the present study is to examine methods in which the company can optimize their costs on third-party suppliers whom oversee other third-party trade labor. The third parties in scope of this study are suspected to overstaff their workforce, thus overcharging the company. We will introduce a complex spreadsheet model that will propose a proper project staffing level based on key qualitative variables and statistics. Using the model outputs, the Thesis team proposes a headcount solution for the company and problem areas to focus on, going forward. All sources of information come from company proprietary and confidential documents.
ContributorsLoo, Andrew (Co-author) / Brennan, Michael (Co-author) / Sheiner, Alexander (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor)
Created2014-05
Description
This work explores the development of a visual analytics tool for geodemographic exploration in an online environment. We mine 78 million records from the United States white pages, link the location data to demographic data (specifically income) from the United States Census Bureau, and allow users to interactively compare distributions of names with regards to spatial location similarity and income. In order to enable interactive similarity exploration, we explore methods of pre-processing the data as well as on-the-fly lookups. As data becomes larger and more complex, the development of appropriate data storage and analytics solutions has become even more critical when enabling online visualization. We discuss problems faced in implementation, design decisions and directions for future work.
ContributorsIbarra, Jose Luis (Author) / Maciejewski, Ross (Thesis director) / Mack, Elizabeth (Committee member) / Longley, Paul (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-05
DescriptionA group project working to implemented programs in the Town of Gilbert that build an entrepreneurial ecosystem within the town.
ContributorsCarneal, Tracy (Co-author) / Browning, Kelcey (Co-author) / Camoriano, James (Co-author) / Badulescu, Chris (Co-author) / Lindsey, Laura (Thesis director) / Riddel, Dana (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor)
Created2014-05
Description
This paper presents an overview of The Dyadic Interaction Assistant for Individuals with Visual Impairments with a focus on the software component. The system is designed to communicate facial information (facial Action Units, facial expressions, and facial features) to an individual with visual impairments in a dyadic interaction between two people sitting across from each other. Comprised of (1) a webcam, (2) software, and (3) a haptic device, the system can also be described as a series of input, processing, and output stages, respectively. The processing stage of the system builds on the open source FaceTracker software and the application Computer Expression Recognition Toolbox (CERT). While these two sources provide the facial data, the program developed through the IDE Qt Creator and several AppleScripts are used to adapt the information to a Graphical User Interface (GUI) and output the data to a comma-separated values (CSV) file. It is the first software to convey all 3 types of facial information at once in real-time. Future work includes testing and evaluating the quality of the software with human subjects (both sighted and blind/low vision), integrating the haptic device to complete the system, and evaluating the entire system with human subjects (sighted and blind/low vision).
ContributorsBrzezinski, Chelsea Victoria (Author) / Balasubramanian, Vineeth (Thesis director) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-05
Description
This paper investigates whether measures of investor sentiment can be used to predict future total returns of the S&P 500 index. Rolling regressions and other statistical techniques are used to determine which indicators contain the most predictive information and which time horizons' returns are "easiest" to predict in a three year data set. The five "most predictive" indicators are used to predict 180 calendar day future returns of the market and simulated investment of hypothetical accounts is conducted in an independent six year data set based on the rolling regression future return predictions. Some indicators, most notably the VIX index, appear to contain predictive information which led to out-performance of the accounts that invested based on the rolling regression model's predictions.
ContributorsDundas, Matthew William (Author) / Boggess, May (Thesis director) / Budolfson, Arthur (Committee member) / Hedegaard, Esben (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor)
Created2013-12