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SDSC3102 - Quality Technologies

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Equivalent Course(s)
Course Offering Term*:
Not offering in current academic year

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

This course aims to provide students with a broad knowledge of quality systems as well as knowledge in concepts, methodology and tools of quality engineering. Upon completion of the course students will be equipped with the ability to apply the knowhow of systems thinking to quality engineering and management problems in their future work. Students will be able to construct models for the analysis and improvement of quality in manufacturing and service environments.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
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
SDSC3102.pdf