Electives under Digital Competency Curriculum
ITC3012 (For Full-time UG)
- Credit: 2 (26 hours)
- No computer science background required
- Learn AI & machine learning basics (supervised + unsupervised)
- Explore key methods: KNN, decision trees, regression + evaluation
- Apply AI to smart applications: computer vision, generative AI, IoT/sensors, mixed reality
- Build and present an AI project proposal
- Understand ethics & responsible AI use
- Upon completion: E-badges awarded in LinkedIn
If you are interested in this elective course, please register via the hyperlink or button below:
ITC5013 (For Full-time PGDE)
- Credit: 2 (26 hours)
- No computer science background required
- Hands-on AI coding for K–12 teaching & learning
- Use LLMs to support personalised learning
- Analyse & visualise education data to find actionable insights
- Design, implement & evaluate AI-driven solutions
- Critically reflect on limits & future improvements
- Upon completion: E-badges awarded in LinkedIn
To enroll, please contact your programme office for enrollment details
ITC2010
(For Full-time HD(ECE) or Senior Year students who completed ITC1009: Artificial
Intelligence Literacy)
- Credit: 2 (26 hours)
- Hands-on AI & digital skills
- Apply Generative AI in education & workplace
- Learn key implications: prototypes, ethics, cybersecurity & data security
- Strengthen problem-solving & innovation skills
- Build digital competency via workshops /seminars and self-regulated learning
(recognition via SRL in AI with Chatbot)
If you are interested in this elective course, please register via the hyperlink or button below:
