Assignment 1 Business Rules And Data Models Due Week 2

Assignment 1 Business Rules And Data Modelsdue Week 2 And Worth 100 P

Suppose a local college has tasked you to develop a database that will keep track of students and the courses that they have taken. In addition to tracking the students and courses, the client wants the database to keep track of the instructors teaching each of the courses. Use the internet to research the types of information that a college would want to track in a database. Focus your attention on information that could represent entities within a database as well as attributes of such entities. Write a two to three (2-3) page paper in which you: 1. Describe the purpose of the database. 2. Based on your research and/or common knowledge of a college and the information tracked by a college, describe the entities of the database and the attributes of each entity. 3. Based on your research and/or common knowledge of a college and the information tracked by a college, describe the business rules that could impact the structure of the database. 4. Determine the information that the conceptual model of the database would include and determine the information that the physical model of the database would include. Your assignment must follow these formatting requirements: be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions. Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.

Paper For Above instruction

The development of a comprehensive college database system is essential for managing academic and administrative operations efficiently. This database aims to centralize and organize information about students, courses, and instructors, thereby facilitating tracking, reporting, and decision-making processes. Effective data management enhances academic planning, student services, and resource allocation, ultimately contributing to improved educational outcomes and operational efficiency.

Entities within this database would include students, courses, and instructors, each characterized by specific attributes. The student entity might comprise attributes such as student ID, name, date of birth, contact information, enrollment date, and program of study. The course entity would encompass attributes like course ID, course name, description, credits, and schedule timings. The instructor entity could include instructor ID, name, department, office location, contact information, and areas of expertise.

Business rules significantly influence the database structure. For instance, each course must be assigned to at least one instructor, and an instructor may teach multiple courses. Students can enroll in multiple courses, and each course can have many students, indicating a many-to-many relationship that necessitates an associative entity, such as enrollments. Additionally, the system must enforce that each student has a unique student ID, and each course has a unique course ID. Prerequisite rules might also apply, requiring the database to capture which courses are pre-requisites for others. These rules ensure data integrity, consistency, and adherence to academic policies.

The conceptual data model would include entities and relationships, such as students, courses, instructors, and the enrollments linking students and courses. The physical data model translates these into database tables, including details like data types, primary keys, foreign keys, indexes, and constraints to optimize performance and enforce referential integrity. For example, the student entity becomes a "Students" table with columns corresponding to student attributes; the many-to-many enrollment relationship would be represented via an "Enrollments" table with foreign keys referencing students and courses.

In conclusion, the college database system is designed to streamline the management of essential academic data, improve operational efficiency, and support strategic decision-making. Careful planning of entities, attributes, business rules, and data models ensures a robust, scalable, and effective database tailored to academic needs.

References

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• Coronel, C., & Morris, S. (2015). Database Systems: Design, Implementation, & Management (11th ed.). Cengage Learning.
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• Rob, P., & Coronel, C. (2009). Database Systems (10th ed.). Cengage Learning.
• Hoffer, J. A., Venkataraman, R., & Topi, H. (2015). Modern Database Management (12th ed.). Pearson.
• Ullman, J. D., & Widom, J. (2008). A First Course in Database Systems (3rd ed.). Pearson.
• Batini, C., Ceri, S., & Navathe, S. (1992). Conceptual Database Design: An Entity-Relationship Approach. Benjamin/Cummings.
• Poropat, S., Zvizdic, S., & Matic, D. (2019). Designing College Database with Entity-Relationship Model. Proceedings of the International Conference on Computer Science and Information Technologies.
• Higginbotham, J., & Klein, G. (2018). Educational Data Management and Database Design. Journal of Higher Education Technology.