Module: Topics in Innovative and Disruptive Tech

Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title	Topics in Innovative and Disruptive Tech
Module Code	CA3108
School	School of Computing
Module Co-ordinator	Semester 1: Liang Xu Semester 2: Liang Xu Autumn: Liang Xu
Module Teachers	Denise Freir Monica Ward Liang Xu
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Coursework Only

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.

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.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
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

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

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.

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
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; 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 1

Indicative Reading List

Other Resources

59610, Website, 0, Sustainable Development Goals, https://sdgs.un.org/goals, 59611, Website, 0, 21st Century Challenges, https://21stcenturychallenges.org/challenges/, 59612, Website, 0, Challenge Based Learning (Guide), https://www.challengebasedlearning.org/wp-content/uploads/2019/02/CBL_Guide2016.pdf, 59613, Website, 0, Challenge Based Learning (Team work), https://www2.tuhh.de/zll/challenged-based-learning/#support,

Programme or List of Programmes

BPDT	BSc Psychology & Disruptive Technologies
ECIUEC	European Consortium of Innovative Uni

Archives: