Open The Teachers Table And Add Three More Professors

Open The Teachers Table And Add Three 3 More Professors Names To Th

Open the Teachers table and add three (3) more professors’ names to the Teachers table. Open the Students_Classes table and add more ClassID for each student to take at least three classes. Open the Course table. The course fee (Fee) in the table Course happened to be typed as Short Text. Convert the Short Text type data for Fee field to real numbers with two digits below the decimal point (For example: “400.50” text should be displayed to 400.50 in real number). And display the average course fee at the bottom row. Open the table Teachers_Classes and set up a lookup table for TeacherID that displays a teacher’s last name (LastName of Teachers table) in the table Teachers that corresponds to the TeacherID number. Open a relationship diagram by clicking Database Tools / Relationships from the top menu. On this diagram, establish 1-to-many relationships between the Teachers table and Teachers_Classes table via TeacherID attribute. Create a query, TeachersPayByClass, that displays LastName, ClassID, and PaymentAmount. (Hint 1: Find the needed tables from the Relationships Diagram.) (Hint 2: If you don’t see TeacherPayments table or other tables of the left pane in the Relationships Diagram, just drag the missing table of the left pane to the right pane. Push Control-S buttons to save the new Relationships Diagram.) Create a query, TeachersPayTotal, that displays TeacherID, LastName, and TotalPay as the sum of the fees for the classes that each teacher teaches. The TotalPay of the query should display in the Currency format. (Hint: You need ∑ Totals / Group By function to set up the query.) Open the table Classes. Provide a validation rule to the field EndingDate that the class should end after 5/1/2017. Also enter a warning message in the Validation Text in the case the previous validation rule is not kept. Create a query, TuitionBalance that displays student’s FirstName, LastName, TotalCharge as the sum of Fee in the Course table, AmountPaid, and Balance as [TotalCharge] – [AmountPaid]. All amounts should display in the Currency format. (Hint 1: You need ∑ Totals / Group By function to set up the query.)

Paper For Above instruction

The task involves multiple steps in managing and analyzing academic data within a relational database system, such as Microsoft Access. The objectives include updating teacher and student information, modifying data types, establishing relationships, and generating queries to facilitate financial and academic insights. This comprehensive approach enhances database integrity, accuracy, and usability, ensuring reliable reporting and informed decision-making.

Introduction

Effective database management in educational institutions is crucial for maintaining accurate records, facilitating data analysis, and supporting administrative decisions. In this context, we focus on various tasks such as updating teacher records, managing course fees, establishing relationships, and creating queries related to teacher payments and student balances. Each task contributes to improving data consistency, enabling detailed reporting, and ensuring data validation.

Updating and Expanding Data

The initial steps involve adding three new professors to the Teachers table, which helps in expanding the database's academic personnel data. This process includes manually inserting new records with the respective names, ensuring the table remains current and comprehensive. Subsequently, the Students_Classes table needs to be enriched by assigning additional ClassID entries for each student—ensuring each student is enrolled in at least three classes. This allows for more detailed tracking of student schedules and course loads.

Modifying Data Types for Accurate Financial Data Representation

One significant aspect is correcting the data type of the Fee field in the Course table. Originally stored as Short Text, which hampers numeric calculations, it must be converted to a numeric data type, specifically a real number with two decimal places, to accurately reflect monetary values. This transformation involves creating an update query that converts text values into numerical format, facilitating accurate calculations such as averages and totals.

Calculating Averages and Setting Up Relationships

Once the Fee data type adjustment is completed, the next step is to compute the average course fee across all courses, which provides insight into tuition pricing trends. This is achieved through a totals query with an aggregate function. Additionally, establishing relational links between tables enhances data integrity and enables meaningful joins. Specifically, creating a lookup for TeacherID in the Teachers_Classes table to display teacher last names improves readability. Furthermore, defining a one-to-many relationship between the Teachers and Teachers_Classes tables ensures referential integrity.

Creating Queries for Financial Insights

The core analytical tasks involve creating two key queries: TeachersPayByClass and TeachersPayTotal. The first displays the last name of teachers, their class IDs, and payment amounts, providing detailed payment per class. The second summarizes total payments each teacher receives by summing class fees, formatted as currency for clarity. These queries support financial tracking and teacher remuneration analysis.

Data Validation and Student Financial Balances

Data validation ensures that course scheduling adheres to academic policies. The EndingDate field in the Classes table is constrained to dates after May 1, 2017, preventing invalid data entry. A validation message warns users when this rule is violated. Finally, a TuitionBalance query combines student personal information with financial data, calculating total charges from course fees, subtracting payments, and displaying balances. All monetary values are formatted as currency, providing a clear view of each student's financial standing.

Conclusion

This comprehensive set of database tasks demonstrates how meticulous data management, relationship setup, and query creation nurture an efficient educational database system. By ensuring data accuracy, establishing meaningful relationships, and producing insightful reports, educational administrators can streamline operations, monitor financial health, and support student success.

References

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