Pre-requisite(s):
MATH 1003 LINEAR ALGEBRA, and
AI2033 PROBABILITY AND STATISTICS

Course Description:
This course aims to equip students with knowledge and skills to design machines or classifiers than can extract features and recognize patterns - understanding the basic science, arts, algorithms, and technologies of pattern recognition. The course focuses on mapping various real world problems into pattern recognition frameworks, studying statistical pattern recognition approaches, and experimenting with real world problems to appreciate the methodologies of pattern analytics.