CET806 Application 1: Introduction to Affective AI

Course Provider

School of Computer Science and Engineering (SCSE)



Academic Unit



Recent developments in the field of AI have fostered multidisciplinary research in various disciplines, including computer science, linguistics, and psychology. Intelligence, in fact, is much more than just IQ: it comprises many other kinds of intelligence, including physical intelligence, cultural intelligence, linguistic intelligence, and EQ. In this course, we are going to the technologies that are referred to as Affective AI or Emotion AI. Affective AI is a subset of artificial intelligence (the broad term for machines replicating the way humans think) that measures, understands, simulates, and reacts to human emotions.

This course is part of:

- Graduate Certificate in Data Science and Artificial Intelligence
- Graduate Certificate in Artificial Intelligence and AI Plus 
FlexiMasters in Data Science and Artificial Intelligence
- FlexiMasters in Artificial Intelligence and AI Plus

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At the end of the course, learners  are able to:


1. understand the difference between kinds of artificial intelligence (e.g., IQ and EQ) and;

2. develop systems and devices that can recognize, interpret, process, and simulate human affects for tasks such as sentiment analysis, social media marketing, financial forecasting, etc.

1. What is Affective AI?
2. What is not Affective AI?
3. What can Affective AI do for you?
4. Pros & cons of Affective AI
5. Potential benefits
6. Limitations
7. Risks
8. Symbolic vs Sub-symbolic Affective AI
9. Knowledge graphs
10. Deep learning
11. Hybrid Affective AI
12. Knowledge Representation for Affective AI
13. One hot encoding
14. Weighing schemes
15. Embeddings
16. Knowledge Exploitation for Affective AI
17. Semantic similarity
18. Dimensionality reduction
19. Vector quantization and classification
20. Affective AI applications
21. Sentiment analysis
22. Empathetic Dialogue systems
23. Common practices and mistakes

For learner who wish to acquire the knowledge and skills to boost their career prospects, become savvier in technology applications as well as better equipped for the fast paced advancements expected ahead.

Standard Course Fee: S$1,944

SSG Funding Support

Course fee payable after SSG funding, if eligible under various schemes

Fee BEFORE funding & GST

Fee AFTER funding & 8% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)



Enhanced Training Support for SMEs (ETSS)


SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

Read more about funding
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Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Data Science and Artificial Intelligence (total 9AUs), and FlexiMasters in Data Science and Artificial Intelligence (total 15AUs).
  • SkillsFuture Credit approved.