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SDSC4110 - Statistical Design and Analysis of Experiments

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

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

The aim of this course is to provide students with an understanding of design of experiments and advanced statistical data analysis methods in quality engineering. The principles and techniques of experimental design for systematic data collection, estimation of statistical models using the collected data, and their practical implementation issues in quality improvement are introduced.


Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 50%
Examination: 50%
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

SDSC4110.pdf