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Course_scheduling_systemV1.0

screenshot of Course_scheduling_systemV1.0

智能排课系统，目的是为减轻计算机学院实验室排课负担。 管理员登录后设置实验室数量，和设定实验室开放的时间。 分发各账号给老师，老师登录后可以按自己的意愿，具体到某个时间使用哪个实验室， 当然也可以选择单双周，总课时进行快速设置。 使用C#后台开发，webservice服务后台 。 UI层，使用 BootStrap美化界面，Html5和aspx 页面混合开发 ，参考书籍为 JavaScript高级程序设计(第3版)）

Github

Overview:

The Course Scheduling System V1.0 is an innovative solution designed to alleviate the workload associated with laboratory scheduling in computer science departments. This intelligent scheduling system allows administrators to easily manage the number of laboratories and their availability, ensuring a more efficient allocation of resources. Teachers can log in and schedule their lab sessions based on personal preferences, including specific times and even alternating weeks.

This user-friendly platform, developed using C# for the backend with web services, provides a seamless experience for both administrators and teachers. The interface leverages BootStrap for an appealing design, combined with HTML5 and ASPX for mixed development. Overall, this system promises to streamline the scheduling process and enhance productivity in an educational setting.

Features:

  • User-Friendly Interface: The system utilizes BootStrap for a modern and intuitive design, making navigation easy for both administrators and teachers.

  • Flexible Scheduling: Teachers can select specific time slots and even choose to alternate weeks for their laboratory sessions, accommodating varying schedules.

  • Administrator Control: Administrators can log in to set the number of labs and their available hours, allowing for comprehensive management of resources.

  • Quick Setup: A feature for bulk setting of class hours is available, enabling teachers to quickly configure their schedule based on their commitments.

  • Web Service Integration: The backend is developed using C#, ensuring robust performance and the ability to handle multiple requests simultaneously.

  • Mixed Development Environment: The use of HTML5 and ASPX pages enriches the application, combining the strengths of both technologies for better functionality.

  • Resource Allocation: By enabling efficient scheduling, the system helps maximize the use of available laboratory resources, ultimately benefiting students and faculty alike.