Specifically, this paper focuses on the Arizona State University Sun Devils football team’s year-over-year results from 2006-2016 and uses this dataset as a comparison against multiple academic and financial measures from the university. This paper also attempts to define what a university's “brand” is and discuss the effect that these teams have on a student’s experience at the university. Based on these findings and results, we attempt to draw conclusions surrounding this information on if there are certain correlations between football success and university indicators and how strongly these indicators affect the university and its brand.
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models
predict the likelihood of going for fourth down with a 64% or more probability based on
2015-17 data obtained from ESPN’s college football API. Offense type though important
but non-measurable was incorporated as a random effect. We found that distance to go,
play type, field position, and week of the season were key leading covariates in
predictability. On average, our model performed as much as 14% better than coaches
in 2018.
This project looked at how certain factors impacted how likely consumers were to buy tickets to NCAA Division I FBS Football games, otherwise known as FBS Football games. It first analyzed prior research into sports ticket sales to identify factors that generally impact ticket sales for sports in general that could be feasibly analyzed using a sample of college students. From this, four factors were chosen to be analyzed. These factors were fan loyalty, price sensitivity, opposing team quality, and home team quality. After collecting data from intro level marketing students and performing a statistical analysis of the data, it was concluded that all four factors impacted the likelihood of an individual buying a ticket to an FBS Football game.
The NCAA’s legalization of athletes to profit off of their own name, image, and likeness (NIL) was met with mixed response from fans of collegiate sports. A popular talking point among people against NIL was that its legalization would cause talented athletes to “follow the money” and increase the recruiting quality at schools where NIL opportunities were plentiful. In essence, a theoretical “talent gap” would form due to this movement of athlete talent. The goal of this paper is to determine the talent gap’s existence or lack thereof while also setting stakeholders directly involved with NIL deals (colleges, businesses, companies) up for success in the age of NIL. This was executed first through the issuance of a survey that collected five categories of data: fandom and interest in college sports, industry sector interest, NIL preferences (structure, money, form), NIL recruiting preferences, and demographics. Following this collection of survey data, recruiting and transfer data for the years 2011-2023 was obtained and analyzed to determine the influence of specific variables in the recruiting process. The survey used in this paper was sent out to over 300 Arizona State University students from Dr. Eaton’s fall semester marketing class, with 158 participants filtered out in order to exclusively measure the responses of students with a similar perspective to athletes. The recruiting and transfer data was derived from the recruiting websites 247 Sports, Rivals, and On3 sports, with On3 Sports additionally providing NIL valuation estimates. Findings from the survey and recruiting data analysis could neither prove or disprove the existence of the theorized athletic talent gap. Results suggest that football or basketball program prestige is the true primary driver of talent movement, not NIL. Businesses looking to issue NIL deals should focus on the marketing obligations and payment structure of the deal rather than payment value, as money does not significantly influence the decision to take an NIL deal offer.
The return to collegiate football at the forefront of the COVID-19 Pandemic was a highly debated topic. In this paper, I argue that when the SEC is treated as a business entity, the initial decision to return to play can be ethically justified.
for Unmanned Aerial Vehicles.
Towards enabling a UAV to autonomously sense and avoid moving obstacles, this thesis makes the following contributions. Initially, an image-based reactive motion planner is developed for a quadrotor to avoid a fast approaching obstacle. Furthermore, A Dubin’s curve based geometry method is developed as a global path planner for a fixed-wing UAV to avoid collisions with aircraft. The image-based method is unable to produce an optimal path and the geometry method uses a simplified UAV model. To compensate
these two disadvantages, a series of algorithms built upon the Closed-Loop Rapid Exploratory Random Tree are developed as global path planners to generate collision avoidance paths in real time. The algorithms are validated in Software-In-the-Loop (SITL) and Hardware-In-the-Loop (HIL) simulations using a fixed-wing UAV model and in real flight experiments using quadrotors. It is observed that the algorithm enables a UAV to avoid moving obstacles approaching to it with different directions and speeds.