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COMP 3020 Social Web Analytics

COMP 3020  Social Web Analytics  (10 Credit Points)  
Subject Details  Legacy Code: 300958  

The Social Web provides everyone with a voice; information from Facebook, Twitter and other social networks allows us to identify trends and relationships in society. Whilst this has interest on a personal level, the killer-apps will be in analysing social Web data for business, such as tracking the buzz around a new product, and understanding the relationships between customers and products. This subject will introduce its students to the Social Web data that is available, and blend data science and machine learning concepts to allow extraction and analysis of such data.

Level: Undergraduate Level 3 subject  
Pre-requisite(s): Students who are NOT enrolled in 1837 Bachelor of Cyber Security and Behaviour 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science must have successfully completed one the following three units
MATH 1003 Biometry
MATH 1028 Statistical Decision Making
MATH 1030 Statistics for Business

Students enrolled in 1837 Bachelor of Cyber Security and Behaviour must have successfully completed the following two units
MATH 2006 Experimental Design and Analysis AND
MATH 1002 Analytics Programming
  
Co-requisite(s): For students enrolled in courses 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science
MATH 1033 Thinking About Data
  
Restrictions: Please see the Subject Details page for any restrictions for this subject