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Module Specifications..

Current Academic Year 2024 - 2025

Please note that this information is subject to change.

Module Title
Module Code
School
Module Co-ordinatorSemester 1: Mingming Liu
Semester 2: Mingming Liu
Autumn: Mingming Liu
Module TeachersConor McArdle
Derek Molloy
Jennifer Bruton
Mingming Liu
NFQ level 9 Credit Rating
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Repeat the module
Array
Description

To allow the student to put theoretical knowledge of engineering to use in a practical project related to the Machine Learning and to document the project outputs to research publication standard. In this module students will use and develop knowledge and skills in planning and managing projects, risk and health & safety assessments, reviewing literature, analysing, defining and implementing an engineering solution, documenting and presenting outcomes and key findings.

Learning Outcomes

1. Design and implement a test-bed or prototype of a novel solution to an electronic and/or computer technology challenge, allowing for identified technical requirements, health and safety, ethical issues and practicality.
2. Devise appropriate tests or experiments in order to allow exploration, analysis and evaluation of a proposed solution.
3. Use statistical approaches, critical analysis, quantitative and/or qualitative comparisons to evaluate the quality of their own work and that of others and to draw concrete conclusions as to the effectiveness of their design.
4. Document their work in a well structured portfolio (consisting of a conference paper, a presentation/demonstration, reflective journal etc.), where the contents communicate technical concepts, ideas and outcomes at the correct level of technical detail to suit the intended reader, and where the student's own work is distinguished from that of others in a proper manner.
5. Apply and adapt appropriate project planning and reflective journal approaches in the execution of the project in order to undertake all project implementation and development work, and to produce a complete RD&I project to a deadline, whilst taking responsibility for managing their interactions with other project stakeholders.



Workload Full-time hours per semester
Type Hours Description
Directed learning15Initial project implementation and technical set up
Independent Study300Technical Implementation
Portfolio Preparation60Final Portfolio Production & Assessment
Total Workload: 375

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Implementation of Solution
Activities carried out to fulfill the project plan. May take many forms - laboratory work, computer based analysis, cognitive reasoning etc.

Testing & Analysis of Results
Designing appropriate tests and evaluating the outcome from these and the new information developed during the project in a critical and insightful manner.

Documentation of Outcomes
Production of a portfolio which should document key aspects and findings of the project and reach conclusions. Production of a video presentation.

Communication
Arranged communications with industry stakeholders, technical support and assessors to discuss the advancement of the project and the technical resources/inputs required.

Assessment Breakdown
Continuous Assessment% Examination Weight%
Course Work Breakdown
TypeDescription% of totalAssessment Date
PresentationThe presentation should describe the value of the project work. The presentation should describe the work completed and the proposed plan of work. The presentation should discuss findings from literature searches and reviews and their relationship to the project topic and implementation.7%n/a
Reflective journalStatus report. Students will give an update on their work at the end of semester one or at the beginning of the second semester. Students will maintain a record of all work performed throughout the project that aligns with the project plan that is developed in the preceding EE5RDI module. All source code (where present) and development materials (e.g., pcb designs, script files, system designs) will be maintained in a suitable repository with regular commit histories and versioning. This can all be viewed by the assessors and mid-term feedback can be given.7%Other
ProjectConference Paper and associated appendices and Interview. Assessment will take the form of a research conference submission, where students submit their work in the form of a conference paper. All supporting materials or links to such materials shall be included in the portfolio. An interview with the assessors shall take place.85%Other
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category
Indicative Reading List

  • Hannah Spring, Barbara Sen and Maria J. Grant: 2013, Research, evaluation and audit: key steps in demonstrating your value, [eBook], Facet, London, UK, 9781856049719
  • Paul D. Leehy and Jeanne Ellis Ormrod: 2015, Practical Research: Planning and Design, Global Edition, 11th [eBook], Pearson, Edinburgh, UK, B019CQ9F0I
  • Ann Pilkington: 2013, Communicating projects: an end-to-end guide to planning, implementing and evaluating effective communication, [eBook], Gower, Farnham, Surrey, UK, 9781409453208
Other Resources

None
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