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SDSC2005 - Introduction to Computational Social Science

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 student who are enrolled in Minor in Data Science
Course Offering Term*:
Semester B 2021/22

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

Data science centres around data, originated by human or non-human. This course provides students with an extensive exposure to the elements of computational social science that concerns exclusively with human-generated data. Topics include opportunities and challenges for social science research in the digital age, descriptive/predictive vs. explanatory research, found data versus made data, research design, causal inference, sampling of social units, online experiment, behavioural analytics, text mining, and social research ethics.

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

Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
 
Detailed Course Information

SDSC2005.pdf

Useful Links

School of Data Science