This course aims to provide foundational knowledge of Artificial Intelligence (AI) principles, techniques, and applications relevant to modern computing systems. It introduces students to problem-solving paradigms, intelligent agents, and knowledge-based systems, while also emphasizing the AI lifecycle, neural network fundamentals, and ethical and governance considerations. The course prepares students to design and analyze intelligent solutions for real-world problems across domains such as healthcare, finance, and smart systems. It also fosters an understanding of how AI systems are developed, evaluated, deployed, and governed responsibly in society.
Prerequisite Graph
Required first
CT2006Algorithm Design & AnalysisIntroduction to Artificial Intelligence
Unlocks
Available Indexes
| Mon | Tue | Wed | Thu | Fri | Sat | |
|---|---|---|---|---|---|---|
| 930 | 14553 TUT (COMP4) 0930-1150 Sat LHN-TR+06 Wk1-7 | |||||
| 1000 | ||||||
| 1030 | ||||||
| 1100 | ||||||
| 1130 |
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