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SDSC6020 - Artificial Intelligence for Scientific Knowledge Discovery

Offering Academic Unit
Department of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
1) Basic programming skills (Python recommended) 2) Foundational course in linear algebra, calculus, and statistics 3) Introductory knowledge of machine learning is helpful but not required 4) Basic Knowledge in physics, chemistry or biology.
Course Offering Term*:
Not offering in current academic year

* The offering term is subject to change without prior notice
 
Course Aims

This course explores the application of Artificial Intelligence (AI) techniques to accelerate scientific research and facilitate the discovery of new scientific knowledge. Students will learn foundational AI methods, data analysis, and machine learning models tailored for scientific data, along with case studies from various disciplines such as biology, physics and chemistry.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 70%
Examination: 30%
Examination Duration: 2 hours
Min. Continuous Assessment Passing Requirement: 30%
Min. Examination Passing Requirement: 30%
 
Detailed Course Information
SDSC6020.pdf