Integrated Learning Project
Where Innovation Meets Opportunity
This Integrated Learning Project (ILP) module is only offered to those taking the Industry Practice Master of Digital Economy and Industry Graduate Diploma.
Note: The ILP is unfunded and a minimum class size of 20 is required for the class to run.
Description
Artificial Intelligence (AI) is a central driver of the digital economy, reshaping how individuals work, how organisations operate, and how entire industries compete. From AI-powered chatbots and predictive analytics to intelligent automation, cloud computing, and blockchain-enabled systems, AI technologies are transforming traditional business processes such as registration, documentation, logistics, and decision-making.
- As part of the Fourth Industrial Revolution, AI enables businesses to process transactions automatically, personalise customer experiences, optimise supply chains, and generate strategic insights from data. These developments raise critical questions:
- How does AI create new business opportunities and competitive advantages?
- How does AI-driven digitalisation transform business strategies, governance, and operations?
- Are organisations and individuals prepared for AI-enabled work environments?
This module explores the role of AI within the broader digital economy and examines its economic, organisational, and professional implications. Students will develop an understanding of how AI systems are designed, implemented, and managed in business contexts, and how digital skills are becoming essential for future professionals.
Learning Objectives
At the end of this module, students may be able to:
- Explain the role of Artificial Intelligence in the digital economy at industry, organisational, and individual levels.
- Analyse how AI-driven technologies transform business models, strategies, and processes.
- Evaluate opportunities and challenges created by AI, including automation, ethics, governance, and workforce transformation.
- Demonstrate self-directed learning and problem-solving skills by exploring real-world AI applications in professional practice.
- Collaborate effectively to assess AI-enabled solutions within constrained timelines.
- Self-directed research tasks on AI applications in specific industries.
- Group problem-solving exercises using real or simulated AI business scenarios.
- Case study analysis of AI adoption in specific industries.
| Session | Activity |
|---|---|
10 Feb 7pm - 9pm Face-to-face |
|
3 Mar 7pm - 10:15pm Zoom |
|
10 Mar 7pm - 10:15pm | Independent research work |
| 17 Mar 7pm - 10:15pm | |
| 24 Mar 7pm - 10:15pm | |
31 Mar 7pm - 10:15pm Zoom | Mid-term project progress update presentation |
7 Apr 7pm - 10:15pm | Independent research work |
| 14 Apr 7pm - 10:15pm | |
| 21 Apr 7pm - 10:15pm | |
28 Apr 7pm - 10:15pm Face-to-face |
|
Trainers
Gary PAN
Full-time Faculty
Professor of Accounting (Education); Associate Provost (Lifelong Learning); Associate Dean (Undergraduate Admissions and Student Development); ResWORK Fellow
Venky SHANKARARAMAN
Full-time Faculty
Vice Provost (Education); Professor of Information Systems (Education); SMU Fortitude Fellow in Computing Education
