Module Title:Project (Digital Innovation / Emerging Technology)
Language of Instruction:English
Credits: 20
NFQ Level:8
Module Delivered In No Programmes
Teaching & Learning Strategies: Learners are expected to devote about 10 hours per week to their project work. Staff time is allocated to each project.
Module Aim: The project is a capstone module providing learners with the opportunity to integrate accumulated learning and apply a range of techniques to deliver a computing artefact. The project will involve the analysis of a substantive issue or opportunity and the production of an innovation solution. It is also envisaged that the learner has the option to produce a useful artefact which incorporates an emerging technology that will enhance the learners’ future job prospects.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Prepare a project proposal by identifying a set of requirements and defining the scope of the project.
LO2 Develop a detailed project plan and manage the project to successful completion by delivering an artefact or system.
LO3 Demonstrate independent and self-motivated learning.
LO4 Critically evaluate the work undertaken and to place it in the context of digital innovation.
LO5 Produce a project report with a corresponding presentation and demonstration.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
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.
No requirements listed
 

Module Content & Assessment

Indicative Content
Project Scope
It is ideally anticipated that learners will have generated their own ideas from Work Placement in the previous stage (or personal experiences, interests etc.) However, learners will also be provided over the duration of the first 4-6 weeks with seminars, workshops or guest lectures on relevant (and emerging) topics. Current research and state of the art will be discussed with learners. Sample topics include (but not limited to) IoT, Data Analytics, Artificial Intelligence, Machine Learning, AR/VR/MR, Blockchain and Cryptocurrencies, Smart Devices, Wireless Sensor Networks, GIS and GPS systems, Autonomous Systems, FinTech and InsureTech.
Project Work
Students are required to complete a substantial project culminating in the production of an operational computing artefact (or an equivalent research orientated artefact) along with a project report, presentation and demonstration. All projects should contain, at least, the following four elements: research, design, implementation and evaluation. The selection of the project will be ideally informed by work placement or industry partners so as to enhance the relevance of the project. Staff will be assigned to support the learners.
Assessment
Assessment will be carried out by the project supervisor and a second reader. The assessment will be based on a critical review of the artefact produced and the quality of the reports. The written reports will contain learners reflective assessment of their own progress, lessons learned and a consideration of the decisions made. Assessment will also be made of the learners’ individual presentation skills and demonstration of their artefact.
Assessment Breakdown%
Continuous Assessment100.00%
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Oral Examination/Interview Elevator Pitch style Project Proposal 1,2 10.00 Week 8
Written Report Interim Report 1,2,3 10.00 Week 20
Project Evaluation of artefact and/or system deliverable. 2,3,4 50.00 Sem 2 End
Written Report Final Project Report 4,5 20.00 Week 28
Presentation Presentation and Demonstration 3,4,5 10.00 Sem 2 End
No Project
No Practical
No End of Module Formal Examination

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Estimated Learner Hours Every Week 10.00
Laboratory Every Week 1.00
Total Hours 11.00