Social media is one of the main sources of big data. This course aims to enable students to understand about social media and the interaction between human and information. It (1) examines the social and human dimensions of social media; (2) introduces the theories, models, and analysis techniques related to social media and human information interaction; and (3) discusses how to integrate theories and concepts in social media and human information interaction into the analytics and visualization of big data. Topics include: foundations of social media, human cognition and information behavior, online communities and social interactions, as well as infographic and big data visualization.

Course
IERG3320/ESTR3306 – Social Media and Human Information Interaction
IERG Elective MIEG Elective Undergraduate
Co-requisite(s):
Unit(s):
3
Pre-requisite(s):
IERG2051 or MIEG2051 or ENGG2030 or ESTR2302 or ESTR2360 or ESTR2206
Exclusion:
ESTR3306
Term Offered:
Term 1
Teacher:
Prof. Rosanna Chan
Remarks: