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CSCI 5408 1
Assignment 1

Objective:
This assignment covers concepts related to data modelling (conceptual design), and planning of a
hypothetical data management project. Consider this assignment as the first phase of an industry
project. The designed model and data gathered in this assignment will be used in the next phase of
the project.
Grading Scheme:
• Initial data model (drawn using tools) with description: 10% (initial sketch – conceptual
model based on business requirement)
• Data Extraction and Data collection: 30% (writing program/script to gather useful data)
• Data insert: 10% (Actual table creation, insert/upload data from XML file)
[Disclaimer (available on page 3) must be included in the report]
• Final Data Model Design: 20% (Actual Data model after addressing design issues if any –
Include report).
• Normalization up to 3NF (if possible): 15% (Present SQL scripts, and ERDs before and after
normalization)
• Answer the given question: 10% (Present SQL scripts)
• Adding citation in IEEE/ACM Format only. Use reliable information source: 5%

Hypothetical Scenario:
A Company, “Analytics-5408” is trying to establish its position in the business domain in
Canada. Recently it hired you as an information specialist for one of its clients (Dalhousie University).
Your company wants to create an app to provide people higher education related information. This
is not a NEWS app; therefore, as the initial requirement it does not provide current NEWS items. The
app will analyze data and guide people. The project has two components,
(1) Data management, and
(2) Business Intelligence
Fall 2019-20 CSCI 5408 2
As the Information specialist, you should gather all required information during the first
phase. A rough design must be produced from the initial conversation before finalizing the data
model. Once the requirements are gathered, you will collect data from different sources, or sources
provided by your company. This data must be cleaned, formatted, decomposed etc. before uploading
to actual database. A final report is due at end of each phase.
In addition, your goal is to ensure that the designed app receives a good customer rating;
Therefore, you will perform an initial study (market research) of Google Apps’ ratings/ reviews to
identify user behavior. In this phase of the project, you need to identify all possible domains (e.g.
Faculties, Maintenance, Security, Management, Benefits, Health etc.), entity sets, attributes, and
relationships. Once it is established, you need to implement and populate the database using
relational database management system, and run some queries to answer the given questions
(section F)
Dataset:
Google App Rating: https://www.kaggle.com/lava18/google-play-store-apps
Education: visit https://www.dal.ca/ and all the important web pages within the website domain
*** Your Tasks for this Assignment ***
A. Data Modelling (Initial Design or the Conceptual Model)

You need to create two types of data models. One for the Google App market research, and other
for the university related information system.
1. Data Model from Existing Data: Study the Google App ratings data that are available on
Kaggle.com. Identify suitable entities, attributes, and their relationships. For the initial
design, you can use a model like Chen’s model.
2. Data Model from Business Problem: The objective of the project is to design an information
system for people, who want to join Dalhousie University as a student, faculty member, or
staff. Further, the system will help analysts to perform comparative analysis of university
academic programs, courses, number of faculty members, benefits, etc.
You can build this initial data model after visiting the DAL website. This section does not
require any data extraction. However, you need to envision the overall information system to
identify the entities, attributes, and relationships.
B. Data Extraction and Data Collection

1. Collect Google App ratings data from Kaggle.com, and store it in an RDBMS of your choice.
This step does not require any programming.
2. Write a program /script to extract data from DAL website, and store it in an XML format. The
XML file must be created programmatically.
Note: Do not extract personal information, such as employees’ email, contact number etc. You
must add the following Disclaimer in your report.
Fall 2019-20 CSCI 5408 3
Disclaimer (Data Scraping)

Name: <Your Name
#ID: <B00xxxxxx

In assignment 1 of CSCI 5408 course, data scraping is done manually or programmatically
from Dalhousie University’s website, and it is used only for educational purpose. Sensitive
information, such as personal Email, personal contact numbers are not extracted. However,
names of instructors, professors, or other staff members available on the Dalhousie
University websites are extracted for course (CSCI 5408) related analysis, such as “find how
many employees have similar first name etc.” The scope of the extracted data usage is limited
to the course CSCI 5408 only. The course instructor and the Faculty of Computer Science
cannot be held responsible for any misuse of the extracted data.

C. Data Insertion:

Create database and tables using the extended ERD you created, and populate the tables with the
data you obtained from the selected datasets. You can use MySQL or MSSQL or Oracle DBMS
systems to create your database. If you do not want to install the DBMS on your system, you are
free to use cloud based database applications.
D. Final Data Modelling:

1. Is your initial sketch/design free from any design issues? (Yes/No)
Provide justification to support your answer.
Final Design
1. Identify the relationships, and cardinality between the entity sets you created.
2. Construct an extended ERD. Your ERD should highlight if any overlap/disjoint subtype exists.
3. The extended ERD should be created using a tool, such as MySQL workbench/ ErWin/ Visio
etc.

E. Normalization:

Once you create the tables, identify the functional dependencies, and normalize the tables up to
3 NF (no transitive dependency). You should create 2 copies of your database – one copy should
contain table(s) before normalization process, and other should contain tables after
normalization. In addition, you need to generate ERDs before and after the normalization.

F. Write SQL Query:

1. Find the name of the department or faculty that has the highest number of employees having
last name starting with an “A”
2. Find the name of the department or faculty that has the highest number of undergraduate
programs

Fall 2019-20 CSCI 5408 4
Submission Instruction:
• Create a Folder with your name and B00 number, and store following files in the folder–
o PDF file with answers, and disclaimer
o Program source code, and sample run screen capture.
o SQL script file(s) for schema, (before and after normalization)
o SQL script file(s) for data,
o images (ERDs, data models etc.) in the folder.
• Compress the folder and create a .ZIP file (do not use other compression formats)
• Upload the .ZIP file on Brightspace.
• Submission Due: Sep 29, 2019 at 11:59 pm (midnight)