| Module Title |
Topics in Innovative & Disruptive Technologies |
| Module Code |
CSC1043 (ITS: CA3108) |
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Faculty |
Computing |
School |
Engineering & Computing |
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NFQ level |
8 |
Credit Rating |
5 |
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Description
The purpose of this module is to provide an overview of the various innovative technologies in computing. There will be seminars on innovative technologies being researched activities by lecturers and researchers in the School of Computing and other Schools. Students are expected to participate in a variety of innovative teaching approaches and activities throughout the semester and will apply knowledge gained in a variety of formats.
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Learning Outcomes
1. Explain innovative technologies being researched in the university and industry.
2. Produce an output in a group the shows their understanding of innovative and disruptive technologies.
3. Evaluate the societal, personal and psychological impacts of innovative and disruptive technologies.
4. Analyse the potential impact of innovative and disruptive technologies.
5. Develop an artefact that demonstrates an understanding of innovative and disruptive technologies.
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Seminars | 12 | Seminars from leading researchers and industry experts. | | Class Presentation | 12 | Students will share their ideas with other students. | | Workshop | 24 | Students will explore innovative and disruptive technologies. | | Debate | 5 | Students will debate aspects of innovative and disruptive technologies. | | Online activity | 15 | Access to digital resources. | | Professional Practice | 15 | Students will discuss innovative and disruptive technologies in a workplace context. | | Group work | 32 | Students will work on various aspects of the module in groups. | | Independent Study | 10 | Independent Reading |
| Total Workload: 125 |
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| Section Breakdown | | CRN | 10222 | Part of Term | Semester 1 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Liang Xu | Module Teacher | |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Assignment | This assignment will enable students to demonstrate an understanding of innovative technologies. | 15% | Once per semester | | Digital Project | This assessment will involve evaluating the societal, personal, psychological and Sustainable Development Goal-related impacts of innovative and disruptive technologies. | 20% | Once per semester | | Project | This project will involve the development of an artefact that demonstrates an understanding of innovative and disruptive technologies. | 35% | Once per semester | | Oral Examination | This will be an Interactive Oral exam where the students discuss their artefact on innovative and disruptive technologies. | 30% | Once per semester |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
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Pre-requisite |
None
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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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
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Indicative Content and Learning Activities
Artificial Intelligence and Machine Learning
An overview of Artificial Intelligence (AI) and Machine Learning (ML)
Virtual Reality (VR) and Augmented Reality (AR)
An overview of Virtual Reality (VR) and Augmented Reality (AR).
Internet of Things, pervasive and ubiquitous computing
An overview of Internet of Things (IoT), pervasive and ubiquitous computing.
Natural Language Processing and related technologies
An overview of Natural Language Processing and related technologies (e.g. Machine Learning)
Educational Technologies
An overview of Educational Technologies and how Computer Assisted Learning (CAL) can impact education. This will look at both formal and informal learning at different stages of education.
Industry-led topics
Industry speakers will share information on innovative technologies in their field.
Research Centre-led topic
Speakers from different research centres will provide insights into the innovative technologies they are currently researching.
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Indicative Reading List
Books:
None
Articles:
None |
Other Resources
- Website: Sustainable Development Goals, https://sdgs.un.org/goals
- Website: 21st Century Challenges, https://21stcenturychallenges.org/challenges/
- Website: Challenge Based Learning (Guide), https://www.challengebasedlearning.org/wp-content/uploads/2019/02/CBL_Guide2016.pdf
- Website: Challenge Based Learning (Team work), https://www2.tuhh.de/zll/challenged-based-learning/#support
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