Matching Items (52)
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- Creators: School of Mathematical and Statistical Sciences
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Description
Dreadnought is a free-to-play multiplayer flight simulation in which two teams of 8 players each compete against one another to complete an objective. Each player controls a large-scale spaceship, various aspects of which can be customized to improve a player’s performance in a game. One such aspect is Officer Briefings, which are passive abilities that grant ships additional capabilities. Two of these Briefings, known as Retaliator and Get My Good Side, have strong synergy when used together, which has led to the Dreadnought community’s claiming that the Briefings are too powerful and should be rebalanced to be more in line with the power levels of other Briefings. This study collected gameplay data with and without the use of these specific Officer Briefings to determine the precise impact on gameplay. Linear correlation matrices and inference on two means were used to determine performance impact. It was found that, although these Officer Briefings do improve an individual player’s performance in a game, they do not have a consistent impact on the player’s team performance, and that these Officer Briefings are therefore not in need of rebalancing.
ContributorsJacobs, Max I. (Author) / Schneider, Laurence (Thesis director) / Tran, Samantha (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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 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
Description
I will be investigating the merit of participatory culture in online literary roleplaying. While looking at an affinity space within participatory culture, I will be examining the importance of narrative within a roleplay board, the value placed in writing ability and habitual participation, and the gaining of social capital within the affinity space of players through the scope of two forms of participatory culture: expressions and collaborative problem solving. I will also look at the limitations of literary roleplaying before talking about the potential of roleplaying to be used as a tool for students in the classroom. Throughout my investigation, I pool information from online roleplay forum boards as well as Tumblr blogs. Drawing from these examples, I hope to not only show the value and merit of online roleplaying as a form of literature, but also demonstrate its potential as a curriculum guide for educators.
ContributorsLacson, Therese (Author) / Lussier, Mark (Thesis director) / Daer, Alice (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2014-05
Description
Nations have a vital interest in creating a citizenry with certain attributes and beliefs and, since education contributes to the formation of children's national identity, government authorities can influence educational curricula to construct their ideal citizen. In this thesis, I study the educational systems of Pakistan and Arizona and explore the historical and conceptual origins of these entities' manipulation of curricula to construct a particular kind of citizen. I argue that an examination of the ethnic studies debate in Tucson, Arizona, in conjunction with Pakistan's history education policy, will illustrate that the educational systems in both these sites are developed to advance the interests of governing authorities. Resource material demonstrates that both educational systems endorse specific accounts of history, omitting information, perspectives, and beliefs. Eliminating or reimagining certain narratives of history alienates some students from identifying as citizens of the state, particularly when contributions of their ethnic, cultural, or religious groups are not included in the country's textbooks.
ContributorsFritcke, Emily Anne (Author) / Saikia, Yasmin (Thesis director) / Haines, Chad (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2014-12
Description
In the words of W. Edwards Deming, "the central problem in management and in leadership is failure to understand the information in variation." While many quality management programs propose the institution of technical training in advanced statistical methods, this paper proposes that by understanding the fundamental information behind statistical theory, and by minimizing bias and variance while fully utilizing the available information about the system at hand, one can make valuable, accurate predictions about the future. Combining this knowledge with the work of quality gurus W. E. Deming, Eliyahu Goldratt, and Dean Kashiwagi, a framework for making valuable predictions for continuous improvement is made. After this information is synthesized, it is concluded that the best way to make accurate, informative predictions about the future is to "balance the present and future," seeing the future through the lens of the present and thus minimizing bias, variance, and risk.
ContributorsSynodis, Nicholas Dahn (Author) / Kashiwagi, Dean (Thesis director, Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
This project covered different components to strengthen Model United Nations organizations, especially programs in Arizona itself. The lack of strong programs in Arizona can be attributed in many ways to a lack of resources, and this project's work aims to bolster programs by providing some resources. The written component contains a write-up of a 2013 High School Model United Nations Conference at Arizona State University; a write-up of a 2014 Middle School Model United Nations Conference at Arizona State University; a guide on how to run such a conference, focused at the high school level; a university-level curriculum that integrates a Model United Nations organization into a classroom setting, including assignments and; a grade school lesson plan with seven lessons that focuses on teaches students about international relations and global affairs while preparing them for a Model United Nations conference.
ContributorsLanza, Jentry Elizabeth (Author) / Von Hagen, Mark (Thesis director) / Hutchinson, Marcie (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Politics and Global Studies (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2014-05
Description
Previous research discusses students' difficulties in grasping an operational understanding of covariational reasoning. In this study, I interviewed four undergraduate students in calculus and pre-calculus classes to determine their ways of thinking when working on an animated covariation problem. With previous studies in mind and with the use of technology, I devised an interview method, which I structured using multiple phases of pre-planned support. With these interviews, I gathered information about two main aspects about students' thinking: how students think when attempting to reason covariationally and which of the identified ways of thinking are most propitious for the development of an understanding of covariational reasoning. I will discuss how, based on interview data, one of the five identified ways of thinking about covariational reasoning is highly propitious, while the other four are somewhat less propitious.
ContributorsWhitmire, Benjamin James (Author) / Thompson, Patrick (Thesis director) / Musgrave, Stacy (Committee member) / Moore, Kevin C. (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor)
Created2014-05
Description
The demographics of Arizona are changing as Hispanics children are passing through their youth and into adulthood. Yet, even with this changing population Arizona has demonstrated an unwillingness to provide adequate educational opportunities for Hispanic school children. The state has perpetuated fear throughout the Hispanic community in an attempt to marginalize and stigmatize the race. Such attempts have extended to youth in schools creating an environment of fear. This fear limits the academic potential of young Hispanics who are wary of government officials and institutions. Arizona has also failed to provide appropriate funding for programs used predominantly by Hispanic students leaving them unprepared for a workplace that desperately needs them. Finally, Arizona has refused to allow course content with a record of increasing academic achievement and graduation rates amongst Hispanics to be taught in schools. Taken as a whole Arizona's efforts are creating a cadre of unskilled and unprepared laborers who will be desperately needed to take jobs in the Arizona economy in the coming years. This blatant disregard for the educational needs of a large segment of the population will have a devastating impact on Arizona's future.
ContributorsSmith, Jason Ryan (Author) / Davis, T. J. (Thesis director) / Ovando, Carlos (Committee member) / Tsosie, Rebecca (Committee member) / Barrett, The Honors College (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor)
Created2013-12
Description
Analytic research on basketball games is growing quickly, specifically in the National Basketball Association. This paper explored the development of this analytic research and discovered that there has been a focus on individual player metrics and a dearth of quantitative team characterizations and evaluations. Consequently, this paper continued the exploratory research of Fewell and Armbruster's "Basketball teams as strategic networks" (2012), which modeled basketball teams as networks and used metrics to characterize team strategy in the NBA's 2010 playoffs. Individual players and outcomes were nodes and passes and actions were the links. This paper used data that was recorded from playoff games of the two 2012 NBA finalists: the Miami Heat and the Oklahoma City Thunder. The same metrics that Fewell and Armbruster used were explained, then calculated using this data. The offensive networks of these two teams during the playoffs were analyzed and interpreted by using other data and qualitative characterization of the teams' strategies; the paper found that the calculated metrics largely matched with our qualitative characterizations of the teams. The validity of the metrics in this paper and Fewell and Armbruster's paper was then discussed, and modeling basketball teams as multiple-order Markov chains rather than as networks was explored.
ContributorsMohanraj, Hariharan (Co-author) / Choi, David (Co-author) / Armbruster, Dieter (Thesis director) / Fewell, Jennifer (Committee member) / Brooks, Daniel (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2013-05
Description
Electromyography (EMG) and Electroencephalography (EEG) are techniques used to detect electrical activity produced by the human body. EMG detects electrical activity in the skeletal muscles, while EEG detects electrical activity from the scalp. The purpose of this study is to capture different types of EMG and EEG signals and to determine if the signals can be distinguished between each other and processed into output signals to trigger events in prosthetics. Results from the study suggest that the PSD estimates can be used to compare signals that have significant differences such as the wrist, scalp, and fingers, but it cannot fully distinguish between signals that are closely related, such as two different fingers. The signals that were identified were able to be translated into the physical output simulated on the Arduino circuit.
ContributorsJanis, William Edward (Author) / LaBelle, Jeffrey (Thesis director) / Santello, Marco (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2013-12