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SDSC3011 - Social Data Processing and Modelling

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
SDSC1001* and SDSC2001

* Pre-requisite SDSC1001 will be exempted for students who are enrolled in Minor in Data Science
Course Offering Term*:
Semester B 2022/23 (Tentative)

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

This course provides students with an extensive exposure to the elements of data processing and modelling for social media. Topics include human error detection, missing data handling, record aggregation, data integration, categorical variable modelling, multivariate data modelling, multilevel data modelling, latent data modelling, temporal data modelling, and spatial data modelling.


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

Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
 
Detailed Course Information

SDSC3011.pdf

Useful Links

School of Data Science