https://github.com/anil951/college_database

https://github.com/anil951/college_database

Last synced: 7 days ago
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• Host: GitHub
• URL: https://github.com/anil951/college_database
• Owner: Anil951
• Created: 2024-05-27T16:39:57.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-05-27T16:54:18.000Z (7 months ago)
• Last Synced: 2024-11-07T09:41:00.447Z (about 2 months ago)
• Size: 176 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# College Database Management System (clgdb)

This project is a comprehensive database management system for a college, designed to efficiently manage data related to students, faculty, courses, results, and more. The system is implemented using MySQL and includes various tables with well-defined relationships and constraints to ensure data integrity and consistency.

## ER Diagram

![ER Diagram](clgdb_er.jpg)

## Features

### 1. Comprehensive Data Management

- **Students**: Track personal details, department, and mentors.

- **Faculty**: Manage faculty details and their corresponding departments and heads of departments (HODs).

- **Courses and Subjects**: Store information about the courses offered and the subjects taught.

- **Hostellers and Day Scholars**: Separate tracking of residential status and associated details.

- **Results and GPA**: Record student grades and calculate GPA.

### 2. Well-Defined Relationships

- **One-to-Many Relationships**: For example, a department can have multiple faculty members.

- **Many-to-Many Relationships**: Through associative entities like `teachers` which connect faculty and subjects.

- **Foreign Key Constraints**: Ensuring referential integrity across tables.

### 3. Advanced SQL Features

- **Triggers**: Automatic enforcement of rules such as preventing duplicate entries across `hostellers` and `dayscholars`, and calculating GPA.

- **Unique Constraints**: Ensuring unique entries where necessary, such as unique roll numbers in the `students` table.

- **Enum Types**: Standardizing categorical data such as departments and years.

## Database Structure

### Tables and Columns

- **students**: Contains roll number, name, department, and mentor.

- **faculty**: Contains faculty ID, name, department, and the corresponding HOD.

- **hod**: Contains HOD ID, name, and department.

- **courses_enrolled**: Links students to the courses they are enrolled in.

- **subjects**: Contains subject code and name.

- **teachers**: Links faculty to the subjects they teach.

- **results**: Records student grades for specific subjects and semesters.

- **gpa**: Stores GPA calculated from student results.

- **hostellers**: Details about students staying in hostels, including fee payment status.

- **dayscholars**: Details about day scholars, including bus usage and fee payment status.

- **alumni**: Information about graduated students, including their current positions and companies.

### Key Relationships

- **One-to-Many**: Between HOD and faculty, faculty and students, faculty and subjects.

- **Many-to-Many**: Between students and courses.

- **One-to-One**: Between students and dayscholars/hostellers, alumini and students.

## Triggers and Constraints

- **Preventing Duplicate Entries**: Trigger to ensure a student cannot be both a hosteller and a day scholar in the same year.

- **GPA Calculation**: Trigger to automatically calculate and insert GPA after inserting results.

- **Alumni Restriction**: Trigger to prevent further modifications of a student’s record once they are marked as alumni.

## Example Queries

- **Get hostellers who haven't paid the fee**:

  ```sql

  SELECT s.name, h.roll 

  FROM hostellers h 

  JOIN students s ON h.roll = s.roll 

  WHERE h.fee_payed = 'no';

  ```

- **Get day scholars using the college bus who haven't paid the fee**:

  ```sql

  SELECT s.name, d.roll 

  FROM dayscholars d 

  JOIN students s ON d.roll = s.roll 

  WHERE d.clgbus_or_not = 'yes' AND d.fee_payed = 'no';

  ```

## Conclusion

This project demonstrates a robust and scalable database design for a college management system, utilizing advanced SQL features to maintain data integrity and automate complex tasks. It serves as a foundation for managing a wide array of academic and administrative data efficiently.

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