Cleveland State University wants to design a database to organize their student

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Cleveland State University wants to design a database to organize their student

Cleveland State University wants to design a database to organize their student membership in clubs on campus and maintain a record of their meetings. Cleveland State University Student Life maintains data about the following entities:
A. Club, including club name, description, budget, club president, and faculty advisor.
B. Student, including student ID, student name, email address, and major.
C. Faculty Advisor, including faculty ID, faculty name, phone number, email address, and department.
D. Meeting, including date, time, location, meeting length, and agenda Each club must have one faculty member who advises it, and the date when the faculty advisor first advised the club must be appropriately modeled. We are not interested in keeping the meeting information for a club if that club doesn’t exist anymore.
Construct the E-R diagram for Hood Student Life. Document all relationships (both directions for each relationship) and any assumptions that you make. Make sure that your model properly depicts entities, attributes, constraints, and relationships and weak entities (if any).
Note: It is very important that you stay within the bounds of the problem as stated above. For example, the description above refers to clubs that exist on university ’s campus. It does not mention or imply anything about athletic teams. Therefore, don’t even attempt to create a model that accommodates those items.
It is also very important that you do not add attributes if they are not necessary or required by the problem. For example, the description above refers to students. It does not mention or imply anything about student status (i.e. freshman, sophomore etc). Therefore, don’t even attempt to create a model that includes student status as an attribute; it would be superfluous.
These are just examples of how you can find yourself out of bounds. Developing a general, all-inclusive model to solve the problem is as important as creating a well bounded model to solve the problem.
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