One of the key features of the scheduler web app is the ability to sort class times efficiently. This functionality greatly simplifies the course selection process for students. By providing a user-friendly interface that allows sorting based on preferred times, students can easily identify and choose classes that fit their schedules. This not only enhances the overall user experience but also contributes to better time management for students.
Another impactful feature of the scheduler web app is the ability to display class GPA averages. This information empowers students to make informed decisions about their course selection by considering the historical performance of each class. By having access to GPA data, students can prioritize courses that align with their academic goals and interests. This feature promotes a more strategic and personalized approach to building class schedules.
The scheduler web app also allows students to choose specific days for their classes. This flexibility is invaluable for individuals with varying commitments and preferences. Students can tailor their schedules to align with their weekly routines, ensuring a balanced and manageable workload. The ability to select days for classes contributes to a more customized and adaptive learning experience, accommodating the diverse needs of the student body.
In conclusion, the scheduler web app significantly enhances the course selection process for students. With features like sorting times, displaying class GPA averages, and selecting days for classes, the app empowers students to make well-informed decisions and create personalized schedules that align with their academic and personal priorities.
The tools and frameworks we use here include MongoDB to store schedules and courses which also utilizes Google Cloud Platform that processes these inputes. We are using GitHub pages to host the site. We webscraped every single course in the Course Search and Enroll as well as scraped Madgrades for GPAs for our datasets.