CA6110 - Statistical Methods and Data Analytics

Offering Academic Unit
Department of Architecture and Civil Engineering
Credit Units
3
Course Duration
One Semester
Course Offering Term*:
Semester B 2024/25

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

This course aims to enrich students' knowledge and skills in handling large amount of data for decision-making in construction industry. Theories and techniques of big data analysis with relevance to engineering management are introduced. Topics will cover principles of descriptive and inferential statistics, sampling and surveying methods, operations research methods and mathematical modelling for big data analysis. 


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

Continuous Assessment: 50%
Examination: 50%

To pass a course, a student must obtain minimum marks of 30% in both coursework and examination components, and an overall mark of at least 40%

Examination Duration: 2 hours
 
Detailed Course Information

CA6110.pdf