Semester 1 - Assignment: Fundamentals of Database Systems

Content

Page1. Introduction 22. Mini World – Description3. Mini World - Analysis

a. Entitiesi. Identify Nounsii. Filter Synonyms / Aliasesiii. Identify Entitiesiv. Final Entitiesv. Entity Relationships

b. Attributesi. Identify Attributesii. Key Attributes

4. Entity Relationship / Extended Entity Relationship Schema

a. Primary ER / EER Schemab. ER / EER Schema after resolving N-nary

relationshipsc. ER / EER Schema after resolving M..N

relationshipsd. Constraintse. Assumptions

5. Relational Schemaa. EER to Relational Mapping

i. Strong / Regular Entitiesii. Weak Entitiesiii. 1:1 Relationshipsiv. 1:N Relationshipsv. M:N Relationshipsvi. Recursive Relationships

b. Relational Schema Diagram6. Data Dictionary7. Consolidated ER/EER Schema8. Limitations and Further Development9. Acknowledgement

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Semester 1 - Assignment: Fundamentals of Database Systems

10. Our Team Spirit

1. Introduction

2. Mini World - Description

ABC Hospital is a leading health care institute which provides both in and out ward services for its clients. In-ward services are delivered through the wards system available for all specialties. Outpatient care is provided by the OPD & Emergency department and the Multispecialty Clinic system.

Administrators of ABC decided to develop an information system to manage the Clinic system to enhance the efficacy of the services provided to clients.

Mini world: Group 1

For the clinics, clients are referred from wards or OPD. Each client is registered at the clinic registration desk in the first visit to a clinic. Each client is given a unique registration number and it can be used for any of the clinics if referred. For each client, information on Name, Gender, Date of Birth, Address, Phone number/s, Clinic name/s and Referred place (Ward/OPD & Emergency) is collected and stored.

Each clinic is conducted at a specific location. Each location is identified by an unique number and information on phone extension, seating capacity and conducted clinics are stored in the system.

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Semester 1 - Assignment: Fundamentals of Database Systems

A specific clinic session is conducted at the specified location according to a given time table. Clinic sessions are allocated for clients to attend a clinic.

Mini world: Group 2

Some doctors of ABC are attached to clinics and a single doctor can work in one or more clinics (non parallel).

Nurses of ABC are attached to a single specific location.

Both doctors and nurses are allocated to relevant clinic sessions.

Information on Name, Gender, Date of Birth, Address and Phone number/s and job category of ABC employees are stored in the system according to a unique employee number.

3. Mini World - Analysis

a. Entities

i. Identify Nouns

Nouns are in red:

Some doctors of ABC are attached to clinics and a single doctor can work in one or more clinics (non parallel).

Nurses of ABC are attached to a single specific location.

Both doctors and nurses are allocated to relevant clinic sessions.

Information on Name, Gender, Date of Birth, Address and Phone number/s and job category of ABC employees are stored in the system according to a unique employee number.

Identified Nouns:

Doctors ABC Hospital Clinics

Nurses Location Clinic Sessions

Name Gender Date of Birth

Address Phone number/s Job category

Employees Employee number

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Semester 1 - Assignment: Fundamentals of Database Systems

ii. Filter Synonyms / Aliases

iii. Identify Entities

Following entities were identified from available mini world information.

Entity Name Entity categoryDoctor

Strong / RegularNurseEmployeeLocationClinicClinic Session Weak

Non-Entity Nouns:

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Doctors ABC Hospital Clinics

Nurses Location Clinic Sessions

Name Gender Date of Birth

Address Phone Number/s Job Category

Employee Number Employees

Doctor Clinic Nurse

LocationClinic

SessionEmployee

Semester 1 - Assignment: Fundamentals of Database Systems

This is the Problem domain

These are attributes of ‘Employee’ entity

iv. Final Entities

v. Entity Relationships

Following relationships and their cardinality constraints were extracted from mini world information.

Some doctors are attached to clinics A single doctor can work in one or more clinics Each nurse is attached to a single specific location Some doctors are allocated to relevant clinic sessions Some nurses are allocated to relevant clinic sessions

Following relationships were made for the completion of schema.

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ABC Hospital

Name

Gender

Date of Birth

Address

Phone Number/s

Job Category

Employee Number

Employee Doctor Nurse

Location ClinicClinic

Session

Semester 1 - Assignment: Fundamentals of Database Systems

Each clinic has (conducts) clinic sessions Each clinic session is conducted in a specific location

Further to above we have made some assumptions and they are mentioned in relevant sections as well as under section 4.e: Assumptions.

b. Attributes

i. Identify Attributes

Followings are the attributes we identified for each entity.

Employee entity type

Doctor entity type

Nurse entity type

Clinic entity type

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Semester 1 - Assignment: Fundamentals of Database Systems

Location entity type

Clinic session entity type

ii. Key Attributes

Following is the list of key attributes of identified strong entities.

Entity Name Key AttributeEmployee Emp_NoDoctor Inherit Emp_ID from their

super class, EmployeeNurseLocation Location_IDClinic Clinic_ID

4. Entity Relationship / Extended Entity Relationship Schema

a. Primary ER / EER Schema

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Semester 1 - Assignment: Fundamentals of Database Systems

b. ER / EER Schema after resolving N-nary relationships

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Assumption #1All Nurses are

attached to some location

Assumption #2A single location may have 0 or many nurses

Assumption #3There may be some clinics

which have not held any

sessions yet.

N-nary relationshipN-nary relationship

Semester 1 - Assignment: Fundamentals of Database Systems

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Assumption #4There may be some clinic

doctors who have not participated any clinic

session yet.

Assumption #5Each clinic session at least one allocated

nurse

M:N relationshipM:N

relationship

Semester 1 - Assignment: Fundamentals of Database Systems

c. ER / EER Schema after resolving M..N relationships

d. Constraints

Maximum and minimum cardinality constraints are stated in ER/EER schema in section 4.c

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Semester 1 - Assignment: Fundamentals of Database Systems

e. Assumptions

In preparing the ER/EER schema, we made following assumption. They are also stated in relevant places of ER/EER schema at sections 4.a and 4.b

1. All Nurses are attached to some location2. A single location may have 0 or many nurses3. There may be some clinics registered in the system which have not held any

clinic sessions yet4. There may be some clinic doctors who have not participated any clinic

session yet5. Each clinic session at least one allocated nurse

5. Relational Schema

a. EER to Relational Mapping

i. Strong / Regular Entities

ii. Weak Entities

iii. 1:1 Relationships

iv. 1:N Relationships

v. M:N Relationships

vi. Recursive Relationships

b. Relational Schema Diagram

6. Data Dictionary

Abbreviations: (FL – Field Length, Req. – Required, PK – Primary Key, CPK – Composite Primary Key, PaK – Partial Key, FK – Foreign Key)

Relation: EMPLOYEE

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 PK Yes Employee Number ABC12345F_Name String 40 Yes First Name Saman

L_Name String 40 Yes Last Name Perera

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Semester 1 - Assignment: Fundamentals of Database Systems

Gender String 8 Yes Gender of the employee Male

DOB Date 12 Yes Date of birth 23/09/1995

H_No String 10 No House number 123/5A

Street String 40 No Street name Main Street

City String 30 No City name Colombo

Post_Code String 10 No Postal code 10100

Job_Category String 15 Yes Job category Doctor

Relation: PHONE_NO

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 FK Yes Employee Number (PK in Relation: Employee)

ABC12345

Phone_No String 12 Yes Telephone number 0777123456

Type String 10 Yes Type of telephone number mobile

Relation: DOCTOR

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 PK Yes Employee Number ABC12345Designation String 25 Yes Designation General Surgeon

Relation: DOCTOR_QUALIFICATION

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 FK Yes Employee Number(PK in Relation: Doctor)

ABC12345

Qualification String 25 Yes Professional qualifications MS

Relation: NURSE

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 PK Yes Employee Number ABC12345Designation String 25 Yes Designation Nursing Officer

Relation: NURSE_QUALIFICATION

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Semester 1 - Assignment: Fundamentals of Database Systems

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 FK Yes Employee Number(PK in Relation: Doctor)

ABC12345

Qualification String 25 No Professional qualifications NTS Training

Relation: CLINIC

Attribute Name

Data Type

FL Key Req. Description Sample

Clinic_ID String 10 PK Yes Clinic Identification Number Med2Clinic_Name String 25 Yes Name of the Clinic Medical Clinic 2

Relation: CLINIC_DOCTOR

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 FK Yes Employee Number ABC12345Clinic_ID String 10 FK Yes Clinic Identification Number Med2

Relation: LOCATION

Attribute Name

Data Type

FL Key Req. Description Sample

Location_ID String 10 PK Yes Location Identification Number R25Loc_Name String 25 Yes Location Name Room 25

Ext String 6 No Telephone extension Number 1234

Seat_Capacity Integer No Seating Capacity 50

Relation: LOCATION_NURSE

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 FK Yes Employee Number ABC12345Location_ID String 10 FK Yes Location Identification Number R25

Relation: CLINIC_SESSION

Attribute Name

Data Type

FL Key Req. Description Sample

Date Date 12 PaK Yes Date of the clinic session 15/11/2011Start_Time Time 12 PaK Yes Starting time of the clinic session 08:30

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Semester 1 - Assignment: Fundamentals of Database Systems

End_Time Time 12 Yes Ending time of the clinic session 12:00

No_of_Pts Integer No Maximum number of patient for the clinic session

75

Min_per_Pt Time 6 Yes Number of minutes per patient 10

Clinic_ID String 10 FK Yes Clinic Identification Number Med2

Location_ID String 10 FK Yes Location Identification Number R25

Relation: CLINIC_DOCTOR_SESSION

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 FK Yes Employee Number ABC12345Clinic_ID String 10 FK Yes Clinic Identification Number Med2

Location_ID String 10 FK Yes Location Identification Number R25

Date Date 12 FK Yes Date of the clinic session 15/11/2011

Start_Time Time 12 FK Yes Starting time of the clinic session 08:30

Relation: LOCATION_NURSE_SESSION

Attribute Name

Data Type

FL Key Req. Description Sample

Emp_No String 10 FK Yes Employee Number ABC12345Location_ID String 10 FK Yes Location Identification Number R25

Clinic_ID String 10 FK Yes Clinic Identification Number Med2

Date Date 12 FK Yes Date of the clinic session 15/11/2011

Start_Time Time 12 FK Yes Starting time of the clinic session 08:30

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Semester 1 - Assignment: Fundamentals of Database Systems

7. Consolidated ER/EER Schema

8. Limitations and Further Development

9. Acknowledgement

10. Our Team Spirit

Group Member PGIM Roll No.

1.

2.

3.

4.

5.

6.

7.

8.

9.

10.

(List of Responsible areas – to be deleted from original report)

Responsibility

Cover Page1. Introduction Gumindu2. Mini World – Description OK3. Mini World - Analysis OK

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Semester 1 - Assignment: Fundamentals of Database Systems

a. Entities OKi. Identify Nouns OKii. Filter Synonyms / Aliases OKiii. Identify Entities OKiv. Final Entities OKv. Entity Relationships OK

b. Attributes OKi. Identify Attributes OKii. Key Attributes OK

4. Entity Relationship / Extended Entity Relationship Schema

Priiyanga

a. Primary ER / EER Schemab. ER / EER Schema after resolving N-nary

relationshipsc. ER / EER Schema after resolving M..N

relationshipsd. Constraintse. Assumptions

5. Relational Schema

Pramil

a. EER to Relational Mappingi. Strong / Regular Entitiesii. Weak Entitiesiii. 1:1 Relationshipsiv. 1:N Relationshipsv. M:N Relationshipsvi. Recursive Relationships

b. Relational Schema Diagram6. Data Dictionary Priyanga7. Consolidated ER/EER Schema

8. Limitations and Further DevelopmentGumindu/

Pramil9. Acknowledgement

Gumindu10. Our Team Spirit

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