COMP8023 - Object Programming

Module Details

Module Code: COMP8023
Title: Object Programming
Long Title: Object Programming for Engineers
NFQ Level: Advanced
Valid From: Semester 1 - 2024/25 ( September 2024 )
Duration: 1 Semester
Credits: 5
Field of Study: 4811 - Computer Science
Module Delivered in: 2 programme(s)
Module Description: Object Programming for Engineers migrates students, familiar with single developer-based, structural programming techniques, to the concepts of object-oriented, team project development.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Identify the behaviour and attributes necessary for the creation of simple objects
LO2 Construct classes capable of supporting the necessary object behaviour and attributes
LO3 Apply the principles of polymorphism to maximise software re-use
LO4 Apply a standard architectural design pattern to a software project
LO5 Analyze and develop appropriate class methods, and an appropriate class interface, as part of a team solution for a moderate-sized engineering problem.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

14651 INTR7022 Interface Software Development
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules 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.

No requirements listed
 
Indicative Content
Data Containers
Investigate suitable data containers for local data storage and processing.
Object Oriented Concepts
Abstraction, encapsulation, classes, public members, private members, protected members, constructors and destructors.
Advanced Concepts
Function and operator overloading, friend functions, class interface design, inheritance, polymorphism, inheritance, virtual functions, abstract classes, template functions and classes.
Object Oriented Analysis
Introduction to design patterns.
Database Concepts
Introduce the concepts of relational database design. Apply structured query language (SQL) to create, update, and query such databases.
Structured Architectural Solution
Introduce the concept of design templates for constructing a robust architectural solution for a moderately-sized, object-oriented project and apply one such standard design pattern when developing a component of a solution for a typical engineering problem.
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Short Answer Questions % of Total Mark 20
Timing Week 6 Learning Outcomes 1,2
Assessment Description
Examination of foundational object-programming concepts, such as: data containers, encapsulation, classes, public members, private members, protected members, constructors and destructors.
Assessment Type Project % of Total Mark 25
Timing Week 8 Learning Outcomes 1,2,3
Assessment Description
Constructors, destructors, operator overloading
Assessment Type Short Answer Questions % of Total Mark 25
Timing Week 11 Learning Outcomes 1,2,3
Assessment Description
Examination of advanced object-programming concepts including function and operator overloading, friend functions, class interface design, inheritance, polymorphism, inheritance, virtual functions and abstract classes.
Assessment Type Project % of Total Mark 30
Timing Week 13 Learning Outcomes 1,2,3,4,5
Assessment Description
The student, as part of a team, will analyze, design and implement a software component for a typical, engineering problem.
The team will identify the component services required and allocate their implementation to individual team members.
Each member will supply a report detailing the architectural design and the individual's contribution to the team solution.
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lab Contact Laboratory-delivered theory Every Week 2.00 2
Lab Contact Laboratory-delivered practice Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Review of class material Every Week 3.00 3
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lab Contact Laboratory-delivered theory and practice Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Review of class material Every Week 4.00 4
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 
Module Resources
Recommended Book Resources
  • Tony Gaddis. (2017), Starting Out with C++ from Control Structures to Objects, 9th. Pearson, [ISBN: 9780134498379].
  • Steven F. Lott. (2014), Mastering Object-oriented Python, Packt Publishing Ltd, p.962, [ISBN: 9781783280988].
Supplementary Book Resources
  • Bjarne Stroustrup. (2013), The C++ Programming Language, 4th Edition. Addison-Wesley Professional, [ISBN: 0321563840].
  • A. Lakshmi Muddana. Python for Data Science, Springer Nature, [ISBN: 9783031524738].
This module does not have any article/paper resources
This module does not have any other resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_EELES_8 Bachelor of Engineering (Honours) in Electronic Engineering 7 Mandatory
CR_ESMPR_8 Bachelor of Engineering (Honours) in Smart Product Engineering 5 Mandatory