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.

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.