Module Details
Module Code: |
INTR8037 |
Title: |
Design for Digital Ecosystems
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Long Title:
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Design for Digital Ecosystems
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NFQ Level: |
Advanced |
Valid From: |
Semester 2 - 2021/22 ( January 2022 ) |
Field of Study: |
5213 - Interdisciplinary Engineering
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Module Description: |
In the development of products for the modern Internet of Things, the product designers are dependent on a portfolio of interconnected systems, referred to as an ecosystem. This module equips the learner to consider the elements of the ecosystem and consider the impact of design decisions across multiple disciplines. The design process will consider integration of the physical product, the associated services and the experience for the end user.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Analyse case studies of contemporary digital and technology ecosystems. |
LO2 |
Develop a prototype digital ecosystem using a design thinking approach. |
LO3 |
Select appropriate tools and platforms to integrate smart products and services. |
LO4 |
Develop and validate a model for the enterprise architecture supporting a digital ecosystem. |
LO5 |
Reflect critically on the personal and societal impacts of the design choices in the digital ecosystem. |
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).
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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.
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No incompatible modules listed |
Co-requisite Modules
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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.
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No requirements listed |
Indicative Content |
Technology Ecosystems
Core components, products and complementary applications, support and infrastructure, relationship management, Open systems,Sustainable Innovation, Evolution of Ecosystems,
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Development Platforms.
Platform as a Service. Modelling approaches to the Ecosystem. Enterprise Architectures, ISO/IEC/IEEE 42010, Scaling of systems, API's and Semantic interoperability.
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Design Aspects
Interaction of hardware and software design, co-design principles. Security Analysis and Test Frameworks from initial design through to deployment and maintenance. Integration of heterogeneous tools. User Centered Design, Design Thinking Approach, Ethical considerations and organizational culture.
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Case Studies
Conduct case studies of representative enterprises in the commercial, open source and crowd funded spaces, e.g. The Things Network (LoRaWAN), mDash, Address the development, selection and integration of technologies, security risk assessments and assessment of the wider impact on the industry, users and society.
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Physical Interaction
UI/UX implications for ecosystem design, Tangibility of the product. Physical aspects of Interaction design
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Module Content & Assessment
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Assessment Breakdown | % |
Coursework | 100.00% |
Assessments
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.
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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 |
Lecture |
Contact |
Discussion of material and case studies |
Every Week |
2.00 |
2 |
Lab |
Contact |
Workshop Exercises in designing digital ecosystems |
Every Week |
2.00 |
2 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Self Study, Research assignments, prepare deliverables |
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 |
Lecture |
Contact |
Discussion of materials and case studies |
Every Week |
2.00 |
2 |
Lab |
Contact |
Workshop exercises related to case studies and Ecosystem design |
Every Second Week |
1.00 |
2 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Self Study, Research assignments, prepare deliverables |
Every Week |
4.00 |
4 |
Total Hours |
8.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
3.00 |
Module Resources
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Recommended Book Resources |
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Lazazzara, Alessandra, Ricciardi, Francesca, Za, Stefano (Eds.),. (2020), Exploring Digital Ecosystems, Organizational and Human Challenges, 1st Ed.. Springer, [ISBN: 9783030236649].
| Supplementary Article/Paper Resources |
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Lee J.H., Ostwald M.J., Gu N.. (2020), Design Thinking and the Digital
Ecosystem, Design Thinking: Creativity,
Collaboration and Culture.,
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M. J. Anwar and A. Q. Gill. (2019), "A Review of the Seven Modelling
Approaches for Digital Ecosystem
Architecture", IEEE 21st Conference on Business
Informatics (CBI),
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Skilton M.. (2016), Trends of Technological Ecosystems, Building Digital Ecosystem
Architectures. Business in the Digital
Economy,
| Other Resources |
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Website, IEEE Standards Association. (2011), IEEE/ISO/IEC 42010-2011 - ISO/IEC/IEEE
Systems and software engineering --
Architecture description,
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Website, EAM Initiative. The Open Enterprise Architecture
Management Knowledge Platform,
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Website, Systems Engineering Body of Knowledge,
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