Inspired by "A Work-Centered Approach to System User-Evaluation" by Roth (2021) and UX design principles, this thesis project aims to determine the usability levels of the ASU Class Search System to locate pain points and provide appropriate recommendations. The ASU class search system allows students to complete the necessary tasks, but the user experience is frustrating due to unnecessary scrolling, clicking, and searching. The user evaluation confirms that some improvements could be made to the class search system to improve its utility and usability. The main improvements suggested in this work address filter and navigation inconsistencies, an overwhelming amount of scroll real estate, minor design inconsistencies, minor jargon and content inconsistencies, scroll stoppers, and guide support.

Community-based policing and proactive policing are at the forefront of America’s efforts to improve policing. Research shows that data-driven policing, such as focusing efforts on crime hot spots, reduces crime not only in a certain area but in the overall community as well. However, each department may implement data-driven policing differently depending on the unique features of the department. To examine this, interviews and observations were conducted of the Arizona State University Police Department and the Scottsdale Police Department. The results suggest that university police and municipality police have different methods, strategies, and information flow when recognizing and responding to hot spots. On this basis, police departments should develop a plan tailored to their community. Further research is needed to determine how police departments can respond to hot spots using specific community traits.