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MIS10050

Academic Year 2024/2025

Digital Technologies in Business (MIS10050)

Subject:
Management Information Systems
College:
Business
School:
Business
Level:
1 (Introductory)
Credits:
5
Module Coordinator:
Dr Michael MacDonnell
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

Information systems are an integral part of all business activities and careers. This course is designed to introduce students to contemporary information systems and demonstrate how these systems are used throughout global organisations. The module introduces a range of technologies used in business, from Enterprise Resource Planning systems to Augmented Reality solutions. Students will also research emerging technologies by reading about leading organisations in the field.

The course is structured in two halves:

1. Digital technologies used in business: spreadsheet modelling, technology outlook and enterprise systems. We undertake hands-on activities to gather and model business data from live sources - qualitative and quantitative information is obtained using the Financial Times academic subscription. We will then learn about integrated business processes by user training in the leading enterprise system suite, SAP.

2. In recent years, emerging Artificial Intelligence (AI) enhanced applications have had a fundamental impact on businesses and individuals alike.

The second part of MIS10050 provides students with essential insights into the following AI-related key topics: History of AI, underpinning AI concepts, and AI applications. Having gained fundamental knowledge, students will utilise a combination of relevant AI and prototyping applications to identify and draft an innovative mobile application prototype.

About this Module

Learning Outcomes:

On completion of this module, students will be able to :
Understand the concept of information and in particular business information, and how information is generated, sourced, stored, analysed and interpreted.
Understand how businesses are using information systems for operational efficiency and to be competitive.
Be aware of emerging technologies that enable new forms of communication, collaboration, and partnering, including providing stronger relationships with customers and suppliers.
Understand fundamental AI principles
Identify suitable AI applications to identify business opportunities
Design and implement an innovative mobile application prototype

Indicative Module Content:

Spreadsheet modelling with Excel
Gathering business intelligence and financial data using the Financial Times (ft.com)
Working with standard business processes using Enterprise Resource Planning systems like SAP
Review of the principles of Artificial Intelligence and opportunities to deploy AI solutions
Development of a prototype AI application using current tools

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

36
Autonomous Student Learning

56
Practical

24
Total

116

Approaches to Teaching and Learning:
This module is based largely on practical work, building skills using current business technology tools.
Also, students will research technology trends and events using readings assigned, mainly from UCD's Financial Times online subscription.
Students will work in groups to develop an Augmented Reality business application.
Assessment is based on in-class activities and assigned reports.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
MIS10020 - Intro to Computers & Info Sys, MIS10070 - ICT for Decision Support, SMGT10030 - Information Technology


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Participation in Learning Activities: Week 4 MCQ based on a practical exam using Excel
Week 4 group poster presentation based on a share portfolio using the Financial Times
Week 4 submission of a draft learning journal		 Week 4 Graded No
25
 No
Individual Project: Final learning journal covering in-class practical activities and reviews of assigned Financial Times articles
Completion of business user training on SAP Enterprise Resource Planning tools		 Week 6 Graded No
25
 No
Quizzes/Short Exercises: Online quiz with mandatory in-person attendance Week 9 Graded No
20
 No
Group Work Assignment: Project poster and video Week 12 Graded No
30
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Autumn No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Matthias Glowatz Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Small Group Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 09:00 - 10:50
Spring Small Group Offering 2 Week(s) - 20, 21, 22, 23, 24, 25, 26, 30, 31, 32, 33 Fri 09:00 - 10:50
Spring Small Group Offering 3 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 09:00 - 10:50
Spring Small Group Offering 4 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 16:00 - 17:50
Spring Small Group Offering 5 Week(s) - 20, 21, 22, 23, 24, 25, 26, 30, 31, 32, 33 Fri 11:00 - 12:50
Spring Small Group Offering 6 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 09:00 - 10:50
Spring Small Group Offering 7 Week(s) - 20, 21, 22, 23, 24, 25, 26, 30, 31, 32, 33 Fri 09:00 - 10:50
Spring Small Group Offering 8 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 16:00 - 17:50
Spring Small Group Offering 9 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 12:00 - 13:50
Spring Small Group Offering 10 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 12:00 - 13:50
Spring Small Group Offering 11 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 14:00 - 15:50
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