Module: Digital Business Tools

Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title	Digital Business Tools
Module Code	BAA1043 (ITS: SB106)
Faculty	DCU Business School	School	DCU Business School
NFQ level	8	Credit Rating	10

Description

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.

Learning Outcomes

1. Discuss the roles and functions of information, information systems (IS) and digital tools in the decision and communication processes of an organisation.
2. Demonstrate an understanding of IS and digital tools which not only support firms in business operations, but aid managerial decision making and provide a strategic advantage to the organisation.
3. Discuss the advantages of using digital tools and describe the main types of digital tools used within organisation.
4. Describe how digital tools are developed, implemented and managed.
5. Understand basics of python and to write simple commands and programs.
6. To manage collaborative projects effectively by communicating professionally within a group, resolving conflicts constructively, and contributing equitably to achieve shared goals.

*Type*	*Hours*	*Description*
Workload	Full time hours per semester
Lecture	24	Lecture
Tutorial	20	No Description
Independent Study	45	No Description
Group work	60	No Description
Online activity	36	Exercises and Digital badges
Assignment Completion	65	No Description
Total Workload: 250

Section Breakdown
CRN	20074	Part of Term	Semester 2
Coursework	100%	Examination Weight	0%
Grade Scale	40PASS	Pass Both Elements	N
Resit Category	RC1	Best Mark	N
Module Co-ordinator	Babu Veeresh Thummadi	Module Teacher

Type	Description	% of total	Assessment Date
Assessment Breakdown
Completion of online activity	Kubicle learning	5%	Week 4
In Class Test	In Class Test about digital business tools	25%	Week 8
In Class Test	Python exam	10%	Week 10
Group assignment	Group project	30%	Week 11
Assignment	Individual assignment	30%	Week 12

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

Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

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 to digital technologies
Understand the differences between Information Systems (IS) and digital technologies

Artificial Intelligence
Understand Artificial Intelligence and its usage in organisations

Big data
Understand big data concepts such as 4V/5V and their usage in organisations

History of Information Systems technologies
History of computers and growth of IS and emerging technologies

Indicative Reading List

Books:

Kenneth C. Laudon and Jane P. Laudon: 0, Management Information Systems: Managing the Digital Firm,
Cristina Alaimo and Jannis Kallinikos: 2024, Data Rules Reinventing the Market Economy,

Articles:
None

Other Resources

1: Learning Platform, Kubicle,