Module Code: H7EDT
Long Title Emerging Digital Technologies
Title Emerging Digital Technologies
Module Level: LEVEL 7
EQF Level: 6
EHEA Level: First Cycle
Credits: 10
Module Coordinator: CRISTINA HAVA MUNTEAN
Module Author: David McCarthy
Departments: School of Computing
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Understand the significant role of emerging digital technologies and their relevance to contemporary business practice.
LO2 Discriminate between relevant emerging digital technologies and distinguish their key definitions and components.
LO3 Assess and analyse the impact of emerging digital technologies across a variety of industries.
LO4 Evaluate industry-agnostic approaches and methodologies for integrating emerging digital technologies to innovate, automate and/or simplify business practice.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements  
 

Module Content & Assessment

Indicative Content
Introduction to Emerging Digital Technologies
• Introduction to all Emerging Digital Technologies (EDTs) • EDT showcase (industry application examples)
Cloud Computing and Data Analytics for Business
• Machine learning cloud-based solutions • Business application of data analytics
Artificial Intelligence (AI)
• Key AI definitions and concepts • Artificial Narrow Intelligence • Artificial General Intelligence
AI for Business
• Business benefits of AI • Process automation • Cognitive insight and automation • Application case studies
Blockchain
• Defining blockchain and key concepts • Distributed ledgers • Smart contracts • Case studies
FinTech and Payments
• Introduction to FinTech and FinTech categories • Cryptocurrencies • Applications and case studies
Robotics and EDT integration
• Introduction to Kinematics, Autonomous systems and Computer vision • Industry and commercial applications (e.g. drones in logistics)
Cybersecurity, Privacy and Trust
• Security Fundamentals • Principles of Penetration Testing • IT Law and Ethics • Cryptography
Internet of Things (IoT)
• IoT concepts and standards • IoT hardware • Hardware/software integration
Virtual, Augmented and Mixed Reality
• Key distinctions between VR, AR and MR • Design principles • Use cases
Impact Assessment of Digital Emerging Technologies
• Emerging technologies and the impact of technology on society
Integration of Emerging Digital Technologies in Business
• Innovation and emerging digital technologies • Brief overview of Digital Business Transformation
Assessment Breakdown%
Coursework100.00%

Assessments

Blended

Coursework
Assessment Type: Assignment 1 % of total: 60
Assessment Date: n/a Outcome addressed: 1,2
Non-Marked: No
Assessment Description:
The student will propose a case study where one or more Emerging Digital Technologies were applied that is aligned with all four learning outcomes The student will submit a case study report addressing learning outcomes 1 and 2 to highlight the significant role of one or more EDTs in the chose company and their relevance to the company; the report will also identify and define the relevant EDTs and distinguish their key definitions and components.
Assessment Type: Assignment 2 % of total: 40
Assessment Date: n/a Outcome addressed: 3,4
Non-Marked: No
Assessment Description:
The student will submit a final report that assesses and analyses the impact of EDTs in the chosen company. The report should also include an evaluation of how the EDT or EDTs were integrated into the business based on a relevant business framework to highlight how the company has innovated, automated and/or simplified business practice with the emerging digital technology.
No End of Module Assessment
No Workplace Assessment

Part Time

Coursework
Assessment Type: Assignment 1 % of total: 60
Assessment Date: n/a Outcome addressed: 1,2
Non-Marked: No
Assessment Description:
The student will propose a case study where one or more Emerging Digital Technologies were applied that is aligned with all four learning outcomes The student will submit a case study report addressing learning outcomes 1 and 2 to highlight the significant role of one or more EDTs in the chose company and their relevance to the company; the report will also identify and define the relevant EDTs and distinguish their key definitions and components.
Assessment Type: Assignment 2 % of total: 40
Assessment Date: n/a Outcome addressed: 3,4
Non-Marked: No
Assessment Description:
The student will submit a final report that assesses and analyses the impact of EDTs in the chosen company. The report should also include an evaluation of how the EDT or EDTs were integrated into the business based on a relevant business framework to highlight how the company has innovated, automated and/or simplified business practice with the emerging digital technology.
No End of Module Assessment
No Workplace Assessment
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
Reassessment Description
If a pass grade is not achieved, students must undertake a continuous assessment that assesses all learning outcomes. This could be a different project or the same that was previously submitted provided that significant modifications have been made in consultation with the lecturer.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Blended
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 12 Per Semester 1.00
Directed Learning Directed eLearning 12 Per Semester 1.00
Independent Learning No Description 214 Per Semester 17.83
Tutorial No Description 12 Per Semester 1.00
Total Weekly Contact Hours 3.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 24 Per Semester 2.00
Independent Learning No Description 214 Per Semester 17.83
Tutorial No Description 12 Per Semester 1.00
Total Weekly Contact Hours 3.00
 

Module Resources

Recommended Book Resources
  • Peter H. Diamandis,Steven Kotler. (2020), The Future Is Faster Than You Think, Simon & Schuster, p.384, [ISBN: 1982109661].
  • Victor Del Rosal. (2015), Disruption, CreateSpace, p.184, [ISBN: 1514173948].
Supplementary Book Resources
  • Clayton M. Christensen. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail, [ISBN: 1633691780].
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: