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SDSC4109 - Smart Manufacturing and Automation

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Students must complete a minimum of 45 CUs to be eligible
Course Offering Term*:
Not offering in current academic year

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

Students will engage in the statistics and optimization methodologies in smart manufacturing and automation. Students will expand and consolidate their knowledge on learn how the artificial intelligence (AI), machine learning (ML) and optimization techniques can be utilized to solve the real manufacturing problems.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components.
 
Detailed Course Information
SDSC4109.pdf