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2 b 1 . ER Model To create an ER model for the given university environment, we need to identify entities, relationships, and attributes. Here

2b1. ER Model
To create an ER model for the given university environment, we need to identify entities, relationships, and attributes. Here is a detailed breakdown:
Entities and Attributes:
Department
Attributes: DepartmentID (PK), Name
Relationships: Has a Chairperson (1:1), Offers Courses (1:M), Has Faculty Members (1:M)
Chairperson
Attributes: ChairpersonID (PK), Name, DepartmentID (FK)
Course
Attributes: CourseID (PK), Title, Description, PrerequisiteCourseID (FK, nullable)
Relationships: Offered by Department (M:1), Has Classes (1:M)
Class (Section)
Attributes: ClassID (PK), SectionNumber, MeetingTime, Location, IsLab (Boolean)
Relationships: Taught by Professor (M:1), Enrolled by Students (M:N), Is a Section of Course (M:1)
Professor
Attributes: ProfessorID (PK), Name, Rank, DepartmentID (FK)
Relationships: Teaches Classes (1:M), Advises Graduate Students (M:N)
Student
Attributes: StudentID (PK), Name, AcademicStatus (undergraduate, graduate, non-degree), FinancialAid
Relationships: Enrolled in Classes (M:N), Has Advisor (Graduate Students)(M:1), Joins Clubs (M:N)
Club
Attributes: ClubID (PK), Title, Description, ContactName, ContactEmail
Relationships: Joined by Students (M:N)
LabManagement
Attributes: StaffID (PK), Name
Relationships: Manages Labs (1:M)
Weak Entity:
Class (Section) is a weak entity dependent on Course.
Supertype-Subtype Entity:
Student can be a supertype with subtypes UndergraduateStudent and GraduateStudent.
Recursive Relationship:
Course has a recursive relationship for prerequisites.
ER Diagram
Below is a textual representation of the ER diagram:
Department (DepartmentID, Name)
1:1 with Chairperson (ChairpersonID, Name, DepartmentID)
1:M with Course (CourseID, Title, Description, PrerequisiteCourseID)
1:M with Professor (ProfessorID, Name, Rank, DepartmentID)
Course (CourseID, Title, Description, PrerequisiteCourseID)
M:1 with Department
1:M with Class (ClassID, SectionNumber, MeetingTime, Location, IsLab)
Recursive relationship for PrerequisiteCourseID
Class (ClassID, SectionNumber, MeetingTime, Location, IsLab)
M:1 with Course
M:1 with Professor
M:N with Student
Professor (ProfessorID, Name, Rank, DepartmentID)
1:M with Class
M:N with GraduateStudent (Advisor relationship)
Student (StudentID, Name, AcademicStatus, FinancialAid)
Supertype with subtypes UndergraduateStudent and GraduateStudent
M:N with Class
M:N with Club
M:1 with Professor (Advisor relationship for Graduate Students)
Club (ClubID, Title, Description, ContactName, ContactEmail)
M:N with Student
LabManagement (StaffID, Name)
1:M with Class (for lab classes)
2b2. Information Not Modeled in ER Diagram
The following information from the narrative cannot be directly modeled using an ER diagram:
Performance and Hard Work of Students: The narrative mentions that some students perform better because they are hard-working. This qualitative information about student performance and effort is not typically captured in an ER diagram.
Summer Courses: The narrative states that not all departments offer summer courses. This temporal aspect of course offerings is not explicitly modeled in the ER diagram.
Financial Aid Dependency on Performance: While financial aid is mentioned, the specific dependency on academic performance is not detailed in the ER diagram.
Double Majors: The concept of students having double majors is not explicitly modeled. This would require additional relationships or entities to represent multiple majors for a single student.
These aspects would require additional business rules or constraints that are typically handled at the application or database management system level.

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