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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Digital Business Tools
Module Code SB106
School DCUBS
Module Co-ordinatorSemester 1: Louise Kirke
Semester 2: Regina Connolly
Autumn: Regina Connolly
Module TeachersRegina Connolly
Cliona McParland
Louise Kirke
NFQ level 8 Credit Rating 10
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None

This is a blended learning, applied module co-created and co-delivered with DCU Futures industry partners. The module serves to provide students with exposure to key tools and language of digital business. The module will focus on experiential learning so students can appreciate the breadth of technology including, but not limited to, coding approaches and tools, traditional web technologies, cloud based technologies, mobile internet technologies, Internet of things, artificial intelligence, robotics, augmented reality and machine-learning. The module will be underpinned by curated learning and reflection points.

Learning Outcomes

1. appreciate the scope of digital business tools
2. explore and experiment with chosen technologies
3. reflect on the use and potential of digital business tools
4. design, conduct and reflect on a curated digital learning journey

Workload Full-time hours per semester
Type Hours Description
Workshop20No Description
Group work60No Description
Directed learning60curated learning journey
Assignment Completion65No Description
Online activity45Exercises and Digital badges
Total Workload: 250

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

Introduction via Gamification
Learning with and from technology (DCU Futures Partner co-created introduction)

Experimentation via engagement
Opportunity and challenges (DCU Futures Partner experiential exercise) e.g. machine learning, virtual reality

Introduction to coding via practice
Coding languages, techniques and developments

Applied digital tools via reflection
Curated learning journey experiencing and gaining understanding in select technology. Discover what it is and how it could be applied in organisations.

Foresight via scenarios and road mapping
Implications of technology for the future of business and ways of doing business. Technology Road mapping

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Performance evaluationDigital tool in action performance evaluation10%n/a
Completion of online activityDigital badge completion of on-line curated journey10%n/a
ParticipationGamification experience10%n/a
Reflective journalReflection of key observations, learnings, and challenges30%n/a
Group assignmentForecast and foresight project. Exploring the role and potential of a digital tool in the context of a specific business problem/challenge40%n/a
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

  • Global Centre for Public Service: 2018, Foresight Manual - Empowered Futures for the 2030 Agenda, UNDPO Singapore,
  • Agrawal, A., Gans, J., & Goldfarb, A.: 2018, Prediction Machines: The Simple Economics of Artificial Intelligence, Harvard Business Review.,
Other Resources

44120, Website, Microsoft, 0, AI, https://docs.microsoft.com/en-us/learn/topics/ai-business-school,
Programme or List of Programmes
DBIBSc in Digital Business and Innovation

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