Module Code: H6IDMD
Long Title Introduction to Data Modelling and Databases
Title Introduction to Data Modelling and Databases
Module Level: LEVEL 6
EQF Level: 5
EHEA Level: Short Cycle
Credits: 10
Module Coordinator: PAUL HAYES
Module Author: PAUL HAYES
Departments: School of Computing
Specifications of the qualifications and experience required of staff

This module requires a lecturer holding a Master’s degree or higher, in Computer Science. Work experience in this field would be nice to have.

Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Explain the major properties of database systems and their importance in an organization
LO2 Evaluate the objectives of data modelling and distinguish different types of data models and their uses
LO3 Demonstrate competence with use of object-oriented data modelling techniques
LO4 Describe and evaluate the process of creating the relational data model from user requirements
LO5 Design, implement and administer a database system with an appropriate database package
LO6 Formulate advanced SQL commands to manipulate the structure of a database and its contents and produce value-added reporting
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements

See section 4.2 Entry procedures and criteria for the programme including procedures recognition of prior learning.

 

Module Content & Assessment

Indicative Content
Introduction to Databases
Database Applications Database Approach Data Independence Redundancy Introduction to SQL
Database Environment
ANSI-SPARC 3-tier Architecture Types of Data Independence Functions of a DBMS Multiuser DBMS Architectures SQL Data Definition Language
Data Modelling
Types of Data Models Object Based Data Models Record Based Data Models Physical Data Models Key-Value, Document-based and Column-based SQL Data Manipulation Language
Database System Development Lifecycle
Database Planning and Scoping Requirements Capture and Analysis Stages of Database Design ImplementationTest and Maintenance SQL Data Manipulation Language
Conceptual Data Modelling
High-Level Conceptual Modelling Entities, Relationships, Attributes Cardinality constraints and Participation constraints SQL Data Manipulation Language
Mapping of Conceptual to Logical Data Model
Methodology for conversion of Conceptual Model Transformation of many-to-many relationships and other features Deriving Relations Determining primary and foreign keys Advanced SQL DML
Normalisation
The Purpose of Normalisation Functional Dependencies First, Second and Third Normal Forms Boyce-Codd Normal Form (BCNF) De-normalisation impact and strategies
Multi-Table Queries
When to use a Join Computing a Join (Cartesian Product)Joins versus SubqueriesInner (Simple) and Outer Joins Right, Left and Full Joins
Advanced SQL
Integrity Enhancement Features of SQL SQL Access Control: authorisations in SQL, system and user privileges, granting and revoking privileges Views Advanced Data Definition
Security and other issues in Data Management
Security Issues Threats and Countermeasures Resilience and Contingency Legal, ethical and IP rights issues
Assessment Breakdown%
Coursework40.00%
End of Module Assessment60.00%

Assessments

Full Time

Coursework
Assessment Type: Formative Assessment % of total: Non-Marked
Assessment Date: n/a Outcome addressed: 1,2,3,4,5,6
Non-Marked: Yes
Assessment Description:
Ongoing independent and group class activities and feedback.
Assessment Type: Continuous Assessment % of total: 40
Assessment Date: n/a Outcome addressed: 5,6
Non-Marked: No
Assessment Description:
Students to collaborate in teams to design, build, administer and operate a relational database management system based on user requirements. Legal, ethical and IP rights to be taken into account. May include proctored tests on Database theory and SQL to access intermediary progress on learning outcomes.
End of Module Assessment
Assessment Type: Terminal Exam % of total: 60
Assessment Date: End-of-Semester Outcome addressed: 1,2,3,4,5,6
Non-Marked: No
Assessment Description:
Written proctored end of semester examination to access learning outcomes.
No Workplace Assessment
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.
Reassessment Description
Learners who fail this module will be required to sit a repeat module assessment where all learning outcomes will be examined.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Classroom & Demonstrations (hours) 24 Per Semester 2.00
Tutorial Other hours (Practical/Tutorial) 24 Per Semester 2.00
Independent Learning Independent learning (hours) 202 Per Semester 16.83
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 24 Every Week 24.00
Lab No Description 24 Every Week 24.00
Independent Learning No Description 202 Every Week 202.00
Total Weekly Contact Hours 48.00
 

Module Resources

Recommended Book Resources
  • Silberschatz, A., Korth, H. & Sudarshan, S.. (2019), Database System Concepts., 7th Edition. McGraw Hill, New York.
Supplementary Book Resources
  • KRIEV, O.,. (2017), , SQL: The Comprehensive Beginner's Guide to Learn SQL with Practical Examples, New York: Createspace Independent Publishing Platform.
  • Coronel, C. & Rob, P.. (2014), Database Principles: Fundamentals of Design, Implementation, and Management, Cengage Learning, Boston.
This module does not have any article/paper resources
Other Resources
  • [Website], https://www.thoughtco.com/databases-basi cs-4133457.
  • [Website], https://www.quackit.com/database/tutoria l/New.
  • [Website], https://www.codecademy.com/learn/learn-s ql.
  • [Website], http://www.tutorialspoint.com/mysql/mysq l-administration.htm.
  • [Website], http://www.mysqltutorial.org/mysql-jdbc- tutorial/.
Discussion Note: