| Long Title: | Introduction to Databases |
| Language of Instruction: | English |
| Field of Study: |
Software and applications development and analysis
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| Module Coordinator: |
PAUL HAYES |
| Module editor: |
PAUL HAYES |
| Teaching and Learning Strategy: |
The module uses a learner-centred interactive approach which acknowledges the variety of learning preferences in the classroom. Learners are encouraged to question all the material that is presented and participation and teamwork is encouraged during the interactive lectures and tutorial sessions. The hands-on practical work is highly engaging and students are encouraged to work in teams if they wish. Thus learners have the opportunity of working and learning on their own, with scaffolding from a tutor or by engaging in peer-learning. In addition the module makes extensive use of web-based supports. The continuous assessment can be done though online Moodle quiz with the practical work submitted on Moodle. One of the assessment involves the students working in teams to develop a database solution for a domain of their own choosing. They can then make use of their database in the Web Application Development module. While one of the projects in the Web Application Development module will make use of the database developed by the students it will not be assessed as it will already have been assessed in this module. |
| Learning Environment: |
Learning will take place in a classroom/lab environment with access IT resources. Learners will have access to library resources, both physical and electronic and to faculty outside of the classroom where required. Module materials will be placed on Moodle, the College’s virtual learning environment. |
| Module Description: |
The aim of this module is to impart to students knowledge of database management systems, as well as to provide students with the practical skills to design, implement and use these systems. |
| Learning Outcomes |
| On successful completion of this module the learner will be able to: |
| LO1 |
Identify and analyse current trends in database systems |
| LO2 |
Describe and apply data model concepts |
| LO3 |
Comprehend and evaluate the relational database concept |
| LO4 |
Design, implement and administer a database system with an appropriate database package |
| LO5 |
Formulate advanced SQL commands to manipulate the structure of a database and its contents |
| Pre-requisite learning |
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).
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| No recommendations listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
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| No requirements listed |
Module Content & Assessment
| Indicative Content |
|
Introduction to Databases (15%)
Introduction to Databases
Traditional File-Based Systems
The history of Database Management Systems
Roles in the Database Environment
Functions of a DBMS
Components of a DBMS
Advantages and Disadvantages of Database Management Systems
DBMS Selection
Data Administration and Database Administration
The Web as a Database Application Platform
Hierarchical, Network and Object-Oriented Data Models
Relational versus Non-Relational
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The Relational Model (15%)
Introduction to the Relational Model
Properties of Database Tables
Integrity Constraints
Views
When is a DBMS Relational?
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Database Planning, Design, and Administration (10%)
Overview of the Information Systems Lifecycle
The Database Application Lifecycle
Overview of Database Design.
Application Design
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Data Modelling (10%)
Introduction to data modelling
The Concepts of the Entity-Relationship Model
Structural Constraints
The Enhanced Entity-Relationship Model
Guidelines for a well-formed E-R diagram
Converting from conceptual data model to logical data model
Deriving relations from logical data model
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Normalisation (10%)
The Purpose of Normalisation
Data Redundancy and Update Anomalies
Functional Dependencies
The Process of Normalisation
First, Second and Third Normal Forms
Boyce-Codd Normal Form (BCNF)
Higher Normal Forms
Denormalisation impact and strategies
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SQL: Structured Query Language (25%)
Introduction to SQL
Evolution of SQL
Writing SQL Commands
Data Definition Language
• Data Manipulation
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Advanced SQL Features (15%)
Introduction
SQL Access Control: authorisations in SQL, system and user privileges, granting and revoking privileges
Views
Integrity Enhancement Features of SQL
Advanced Data Definition
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| Assessment Breakdown | % |
| Coursework | 50.00% |
| End of Module Assessment | 50.00% |
Full Time
| Coursework |
| Assessment Type |
Assessment Description |
Outcome addressed |
% of total |
Assessment Date |
| Test One |
n/a |
1,2,3 |
20.00 |
Week 6 |
| Assignment |
n/a |
4 |
5.00 |
Week 8 |
| Test Two |
n/a |
5 |
25.00 |
Week 11 |
| End of Module Assessment |
| Assessment Type |
Assessment Description |
Outcome addressed |
% of total |
Assessment Date |
| Terminal Exam |
End-of-Semester Final Examination |
1,2,3,4,5 |
50.00 |
End-of-Semester |
| 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.
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NCIRL reserves the right to alter the nature and timings of assessment
Module Workload
| Workload: Full Time |
| Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
| Lecture |
No Description |
2 |
Every Week |
2.00 |
| Lab |
No Description |
1 |
Every Week |
1.00 |
| Independent Learning |
No Description |
7.5 |
Once per semester |
0.63 |
| Total Hours |
10.50 |
| Total Weekly Learner Workload |
3.63 |
| Total Weekly Contact Hours |
3.00 |
| Workload: Part Time |
| Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
| Lecture |
No Description |
24 |
Every Week |
24.00 |
| Lab |
No Description |
12 |
Every Week |
12.00 |
| Independent Learning |
No Description |
89 |
Once per semester |
7.42 |
| Total Hours |
125.00 |
| Total Weekly Learner Workload |
43.42 |
| Total Weekly Contact Hours |
36.00 |
Module Resources
| Recommended Book Resources |
|---|
- Thomas Connolly, Carolyn Begg 2014, Database Systems: A Practical Approach to Design, Implementation, and Management, 6th Edition Ed., Pearson Education [ISBN: 1292061189]
- Carlos Coronel, Stephen Morris, Peter Rob and Keeley Crocket 2013, Database Principles, 2nd Edition Ed., CENGAGE Learning [ISBN: 140806636]
| | Supplementary Book Resources |
|---|
- Abraham Silberschatz, Henry F. Korth, S. Sudarshan 2010, Database System Concepts, 6th Edition Ed., McGraw Hill Higher Education [ISBN: 0071289593]
- Ramez Elmasri and Shamkant Navathe 2013, Fundamentals of Database Systems, 6th Edition Ed., Pearson Education [ISBN: 1292025603]
- C.J. Date 2012, Database Design and Relational Theory, O'Reilly Media [ISBN: 1449328016]
- Larry Rockoff 2010, The Language of SQL, Course Technology PTR [ISBN: 143545751X]
| | This module does not have any article/paper resources |
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| This module does not have any other resources |
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Module Delivered in
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