Module Code: H7ALC
Long Title Application Lifecycle
Title Application Lifecycle
Module Level: LEVEL 7
EQF Level: 6
EHEA Level: First Cycle
Credits: 10
Module Coordinator: ORLA LAHART
Module Author: Padraig De Burca
Departments: School of Computing
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Describe the theory, concepts and methods pertaining to Business Analysis.
LO2 Create requirements using use case modelling and requirements engineering concepts.
LO3 Design and implement effective data models.
LO4 Investigate and utilise relational and non-relational databases for optimised storage, retrieval, and organisation of data.
LO5 Describe the theory and concepts of data warehousing and online analytical processing techniques.
LO6 Describe the theory and concepts of Project Management, focusing on IT Project Management.
LO7 Have an understanding of application & data security.
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  
 

Module Content & Assessment

Indicative Content
Use case modelling 10%
• Actors. • Use Cases. • Anatomy of use cases. • Advanced Use Case Concepts.
Databases and Storage 20%
• Relational Databases. • Collecting and storing Data • Data Modelling: ERDs & Normalisation • DBMS. • Indexing and Hashing. • Query processing and optimisation. • Database Performance Evaluation.
SQL for Data Retrieval 10%
• Outputting Data Streams • Complex Joins / Multi-Joins Sub/Correlated Queries • Views
Non-relational Databases 10%
• NoSQL • Types of non-relational databases. • CAP Theorem.
Data Warehousing 10%
• Introduction to Data Warehousing. • Data Warehousing Concepts. • Types of Data Warehouse. • On-line analytical processing (OLAP). • Data-mining.
Testing 15%
• Software testing strategies such as System test, Integration test and unit test. • Software Testing Techniques. • Usability testing. • Black box and White box testing. • Basis path testing. • Cyclomatic complexity.
Application and Data Security 10%
• Threats • Computer-Based Countermeasures • Non-Computer-Based Countermeasures • Risk Analysis • Data Protection
Project Management 15%
• Projects V Operations • Triple Constraint • Process Groups • Traditional PM v IT PM • Scheduling: Gantt & network diagrams
Assessment Breakdown%
Coursework100.00%

Assessments

Full Time

Coursework
Assessment Type: Continuous Assessment (0200) % of total: 100
Assessment Date: n/a Outcome addressed: 1,2,3,4,5,6,7
Non-Marked: No
Assessment Description:
Sample Assessment would be a project: This project counts for 100% of the overall marks for the module. •Project deliverables should be completed individually •The main objective of this project is the development of a database for a game rental shop.•The project is composed of multiple sections or deliverables.•The project work should be carried out in as homework. •You may use any CASE tool / diagramming tool (Rational Rose, Visio, Gliffy, Creately, Smartdraw etc.) to carry out the diagramming but the final work must be presented on paper. •The database construction portion of the project must be completed using MySQL.
No End of Module Assessment
No Workplace Assessment
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

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 No Description 2 Every Week 2.00
Tutorial No Description 2 Every Week 2.00
Independent Learning No Description 17 Every Week 17.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 2 Every Week 2.00
Tutorial No Description 2 Every Week 2.00
Independent Learning No Description 17 Every Week 17.00
Total Weekly Contact Hours 4.00
 

Module Resources

Recommended Book Resources
  • Thomas M. Connolly, Carolyn E. Begg. (2010), Database systems, Boston ; Addison-Wesley, c2010., [ISBN: 0321523067].
  • Roger S. Pressman. Software Engineering, McGraw Hill Higher Education, p.928, [ISBN: 9780071267823].
Supplementary Book Resources
  • Gordon S. Linoff. Data Analysis Using SQL and Excel, Wiley, p.645, [ISBN: 0470099518].
This module does not have any article/paper resources
Other Resources
Discussion Note: