University Database Management Project
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The university database management system project involves creating and managing a comprehensive database for a university, including data on students, faculties, and academic programs. The project emphasizes normalization to eliminate data redundancy, avoid null values, and prevent update and delete anomalies, ensuring accurate data management. Key features of the database include 65 tables, complex queries for student performance, and various stored procedures.
University Database Management Project
- 1. University Database Management System Database Management System Project – SEM IV Institute of Engineering and Technology – Ahmedabad University 7th March, 2015 Group Members: Kavi Pandya - 131020 Mayank Jobanputra - 131026 Urvika Sonar - 131060 Preksha Chavda - 121036 DBMS, SEM-IV
- 2. Project Statement University Database Management System creates, manages and performs all the activities related to the database of a given university. The database consists of information about the university, colleges, students, faculties, academic and research programs. The main aim of this project is to manage the database in such a way that information about academic and research activities can be retrieved easily, efficiently and accurately.
- 3. E R Diagram
- 4. Normalization of Forms Normalization is applied to remove problems caused due to redundancy of data and different kinds of anomalies. 1. Removing Redundancy: Information about funding organizations funding different research projects of a university and the data about the research projects being funded by this organizations are stored in different tables because it may be possible that a funding organization maybe funding more than one research project and keeping them in same table results in redundant data. 2. Avoiding Null Values: Information about the faculties currently associated with the university is stored in a faculty table. The data regarding the research projects on which the faculties are currently working on or worked in the past are stored in a different table. It is possible that there may be faculties that are not associated with any research project at present or in the past, so keeping both the information in the same table would result in null values for the faculties that are not related with any research project. Thus to avoid this problem, normalization is applied, tables are separated and data is stored accordingly.
- 5. 3. Update Anomaly: Update anomaly occurs when while updating certain data, past record about that data is lost. Information about the courses being offered are kept in courses table. Information about the courses being offered in a particular semester is stored in different table. It may happen that a particular course was offered in some other semester earlier and is currently being offered in some other semester. If the data is kept combined in one table, it would result in loss of data as the record about the semester in which the particular course was offered earlier would be lost while updating the data for current semester, resulting in update anomaly. 4. Delete Anomaly: This anomaly occurs when data is lost while deleting previous records from the table. Information regarding the topics that are being taught in a given course are stored in one table. The data about the course structure for that particular course is stored in another table. It is done because the course structure for courses might change. For example, few topics that were included in course structure for a particular course earlier are now removed from it. If the data was kept in same table then removing those topics from course structure would permanently remove its record from the database. To avoid this, Normalization is applied and tables are separated for storing data according to that.
- 6. Database Schema Contents: ➢ Tables: 65 ➢ Queries: 57 ➢ Triggers: 6 ➢ Stored Procedures: 4 ➢ Views: 2 ➢ Tables with Java Connectivity: 1
- 7. Complex Queries 1. Finding students having following constraints and studying in section-1, having Attendance>7, quiz>7, assignment>15, project>43, mid-exam>30 and final-exam>35 2. Percentage obtained by student '1301001A01' in SEM-1 in the subject of CS101 in Batch-A (including marks obtained in Quiz, Assignment, Attendance, Project, Mid-Term Exam and Final-Term-Exam)