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application was tested for its usability and practicality by a small sample of students. Users provided suggestions on how to make the application more versatile and functional, and confirmed that the application made first aid easier and was something that they could see themselves using. While this application is not aimed to replace the current physical guide solution completely, the findings of this project show that SmartAid has potential to stand in as an improved, easy to use, and convenient alternative for first aid guidance.
The history of Arizona is filled with ambitious pioneers, courageous Natives, and loyal<br/>soldiers, but there is a seeming disconnect between those who came before us and many of those<br/>who currently inhabit this space. Many historic locations that are vital to discovering the past in<br/>Arizona are both hard to find and lacking in information pertaining to what happened there.<br/>However, despite the apparent lack of history and knowledge pertaining to these locations, they<br/>are vitally present in the public memory of the region, and we wish to shed some much-needed<br/>light on a few of these locations and the historical takeaways that can be gleaned from their<br/>study. This thesis argues the significance of three concepts: place-making, public memory, and<br/>stories. Place-making is the reinvention of history in the theater of mind which creates a<br/>plausible reality of the past through what is known in the present. Public memory is a way to<br/>explain how events in a location affect the public consciousness regarding that site and further<br/>events that stem from it. Lastly, stories about a place and event help to explain its overall impact<br/>and what can be learned from the occurrences there. Throughout this thesis we will be discussing<br/>seven sites across Arizona, the events that occurred there, and how these three aspects of study<br/>can be used to experience history in a personal way that gives us a special perspective on the<br/>land around us. The importance of personalizing history lies in finding our own identity as<br/>inhabitants of this land we call home and knowing the stories gives us greater attachment to the<br/>larger narrative of humanity as it has existed in this space.
The privatization of prisons within Arizona has been a hot button issue and needs to be further analyzed to determine their benefits and expenses. To begin this investigation into the effectiveness of private prisons within Arizona and possible steps that need to be taken for its rehabilitation certain definitions and prior research need to be understood. Following this explanation, areas such as costs analysis across different types of prisons, liability rates across differing types of prison guards, and the differing psychology of different types of prisons can be examined to gain an overall assessment of the current performance of privatized prisons within Arizona. After this in-depth analysis of the current private prison system within Arizona, the flaws of the system will become abundantly clear and the solutions that should be implemented to alleviate these problems will be discussed.
In order to train the model, data was collected from the NBA statistics website. The model was trained on games dating from the 2010 NBA season through the 2017 NBA season. Three separate models were built, predicting the winner, predicting the total points, and finally predicting the margin of victory for a team. These models learned on 80 percent of the data and validated on the other 20 percent. These models were trained for 40 epochs with a batch size of 15.
The model for predicting the winner achieved an accuracy of 65.61 percent, just slightly below the accuracy of other experts in the field of predicting the NBA. The model for predicting total points performed decently as well, it could beat Las Vegas’ prediction 50.04 percent of the time. The model for predicting margin of victory also did well, it beat Las Vegas 50.58 percent of the time.
To do this, a 4-week long pilot curriculum was created, implemented, and tested through an optional class at I Am Zambia, available to women who had already graduated from the year-long I Am Zambia Academy program. A total of 18 women ages 18-24 chose to enroll in the course. There were a total of 10 lessons, taught over 20 class period. These lessons covered four main computational thinking frameworks: introduction to computational thinking, algorithmic thinking, pseudocode, and debugging. Knowledge retention was tested through the use of a CS educational tool, QuizIt, created by the CSI Lab of School of Computing, Informatics and Decision Systems Engineering at Arizona State University. Furthermore, pre and post tests were given to assess the successfulness of the curriculum in teaching students the aforementioned concepts. 14 of the 18 students successfully completed the pre and post test.
Limitations of this study and suggestions for how to improve this curriculum in order to extend it into a year long course are also presented at the conclusion of this paper.