Location
https://www.kennesaw.edu/ccse/events/computing-showcase/fa24-cday-program.php
Event Website
https://sites.google.com/view/ksugtaapp/home
Document Type
Event
Start Date
19-11-2024 4:00 PM
Description
The Graduate Teaching Assistant (GTA) Management System is designed to address inefficiencies in the GTA hiring and assignment process at the departmental level. This full-stack web application utilizes modern Python frameworks such as Flask for backend development, providing a robust and scalable foundation for data handling and business logic. The frontend is developed using HTML, CSS, and JavaScript, ensuring an intuitive and responsive user experience. Key features include user access, automated GTA request generation based on course catalog data, and real-time tracking of hiring progress. By integrating data import capabilities from sources like Owl Express via Excel, the system handles complex requirements like cross-listed sections and enrollment rules. This application aims to enhance administrative efficiency, reduce workload for faculty and staff, and improve the coordination and transparency of GTA management processes across departments. Through leveraging the power of Python frameworks and full-stack development methodologies, the system is both flexible and scalable, ready to adapt to future institutional needs.
Included in
GMC-241 GTA Request / Hiring Management
https://www.kennesaw.edu/ccse/events/computing-showcase/fa24-cday-program.php
The Graduate Teaching Assistant (GTA) Management System is designed to address inefficiencies in the GTA hiring and assignment process at the departmental level. This full-stack web application utilizes modern Python frameworks such as Flask for backend development, providing a robust and scalable foundation for data handling and business logic. The frontend is developed using HTML, CSS, and JavaScript, ensuring an intuitive and responsive user experience. Key features include user access, automated GTA request generation based on course catalog data, and real-time tracking of hiring progress. By integrating data import capabilities from sources like Owl Express via Excel, the system handles complex requirements like cross-listed sections and enrollment rules. This application aims to enhance administrative efficiency, reduce workload for faculty and staff, and improve the coordination and transparency of GTA management processes across departments. Through leveraging the power of Python frameworks and full-stack development methodologies, the system is both flexible and scalable, ready to adapt to future institutional needs.
https://digitalcommons.kennesaw.edu/cday/Fall_2024/Graduate_Project/11