Student Scholar Symposium

Computer Science

Chapman Rates
Presenter(s): Mica Marietta, Nidhi Vedantam, Brinly Xavier
Advisor(s): Dr. LouAnne Boyd
On the Chapman campus, through taking and choosing various classes, there is a significant need for communication and feedback between students and peers, professors, tutors, and study groups. With this, we wanted to create an application that enables users from various majors to not only easily and effectively communicate with various people in their field, but one that also enables them to give and receive feedback on various classes through a rating system. We believe that the application will aid students in a myriad of specific ways, including being involved in study groups and getting tutoring help, determining which classes to take for following semesters, communicating with professors on a class and individual level, and more. In order to ensure that the application is inclusive and effective, we want to perform user testing with a diverse set of users. Receiving feedback from users with different majors, ages, involvement on campus, technological experience, and more will help us ensure, through user-driven design, that we are accommodating the application for the widest range of students possible.



Chapman Library Room Booking App
Presenter(s): Alejandro Ferrer-Peasley, Elise May, Nawal Alasmari, Sofia Danielle
Advisor(s): Dr. LouAnne Boyd
Our purpose is to develop an application that will adhere to and support diversity and inclusion initiatives on Chapman University’s campus. The application aims to facilitate a seamless process of library room booking for a diverse student body and promote interdisciplinary collaboration through both virtual and face to face interaction. Through user testing, we will be able to collect both qualitative and quantitative data that will allow us to create the most accessible user interface. Functionalities will include booking rooms, joining existing rooms to collaborate with others, chatting with other users, as well as a virtual library room option.



CoronaVirus Regional Updates
Presenter(s): Titan Mitchell, Michael Kulinich, Nader Banna, Chase Bradshaw, Bryce Purnell
Advisor(s): Dr. Michael Fahy
Based on the world’s current situation we have decided to make information about the coronavirus easier to access. We believe that this will be an extremely useful tool for those that don’t have time or those who don’t know where to look for the appropriate coronavirus information. We want to answer the question, ‘What is the CoronaVirus situation in my area?’, for any person that opens our website. This way we can educate people about the CoronaVirus and make our communities safer. Our project will consist of a website where users are able to enter their email addresses to receive accurate coronavirus information. We will use the user’s IP address to determine their location. From there, we will either use a prebuilt CoronaVirus API or web scrape information from government web pages based on the user’s location to build a unique CoronaVirus report. Next, we will utilize an SMTP server to automate an email containing the user’s CoronaVirus report. From this project, we plan to deliver relevant coronavirus information to those in need and we expect the results to be extremely positive. With accurate information being provided and emailed to the user based on their location, we expect our website to get substantial use by the public.

 

Music Caesar - Caes The Music
Presenter(s): Stephen White, Joely Fontana, Arshia Sharma, Saniya Syed, Brinly Xavier, Finn White
Advisor(s): Dr. Michael Fahy
This project is going to be a program that interacts with the Spotify and/or iTunes open APIs (Application Programming Interface) and will act as the audio system (also known as the DJ) at an event. The program will allow anyone connected on the same network to be able to vote (either like or dislike) a song in the queue, or add songs to the queue themselves. Additionally, the interaction of Spotify and/or iTunes with our program will allow the user to have access to the songs they want to add to the queue and provide the functionality of the queue. The songs in the queue will be played in the order of what song is the most upvoted (most liked). Further, the songs in the queue will be actively changing where they are in the queue depending on the number of upvotes and downvotes each individual song receives. The main goal of this project is to use the computer programming language, Java (JDK 13.0.2), to create our program and to be able to integrate Spotify and/or iTunes into this program. This idea is based upon a class project for Data Communications and Networking (CPSC 353), where we create a unique program that will use different open APIs to show varying network communications (or server to client communication). Our expected results would include an application (or app) that implements an easy to use interface that allows for people at an event to control the songs they want to hear from simply being connected to the same network as the audio system.
 

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