Reference no: EM13902846
A) Draw an E-R data model for the Highline University Mentor Program Information System. Use the IE Crow's Foot E-R model for your E-R diagrams. Justify the decisions you make regarding minimum and maximum cardinality.
Your model should track students, advisers, alumni and mentors.
1. Create separate entities for students, alumni, faculty advisers and mentors.
-At Highline University, all students are required to live on campus and are assigned Highline University ID numbers and e-mail accounts in the format [email protected]. The student entity should track student last name, student first name, student University ID number, student e-mail address, dorm name, dorm room number and door phone number.
-At Highline University, all faculty advisors have on-campas offices and are assigned Highline University ID numbers and e-mail accounts in the format [email protected]. The faculty entity should track faculty last name, faculty first name, faculty University ID number, faculty e-mail address, department, office building name, office building room number and office phone number.
-Highline University alumni live off campus and were previously assigned Highline University Id numbers. Alumni have private e-mail accounts in the format [email protected]. The alumni entity should track alumnus last name, almunus first name, alumnus former student number, e-mail address, home address, home city, home state, home zip code and phone number.
-Highline University mentors work for companies and use their company address, phone and e-mail address for contact information. They do not have Highline University ID numbers as mentors. E-mail address is in the format [email protected]. The mentor entity should track mentor last name, mentor first name, mentor e-mail address, company name, company address, company city, company state, company ZIP code and company phone number.
These transactions are summarized as follows
: Liang Company began operations on January 1, 2012. During its first two years, the company completed a number of transactions involving sales on credit, accounts receivable collections, and bad debts
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