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DSC3010 - Digital Trace Analytics

Offering Academic Unit
Department of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
DSC1001* and DSC2001

* Pre-requisite DSC1001 will be exempted for students who are enrolled in Minor in Data Science
Equivalent Course(s)
SDSC3010
Course Offering Term*:
Semester B 2026/27

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

This course provides students with an extensive exposure to the elements of opinion/behavioural data analytics. Topics include self-reported data, behavioural data, social science sampling, questionnaire design, offline surveys, online surveys, digital trace measurement, multi-source data analytics, and privacy protection.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
Min. Continuous Assessment Passing Requirement: 30%
Min. Examination Passing Requirement: 30%
 

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
DSC3010.pdf