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 NOT enrolled in the 3770 must have successfully completed one of the following groupings
(MATH 1028 Statistical Decision Making OR
MATH 1003 Biometry OR
COMP 1014 Thinking about Data)
OR
(MATH 1030 Statistics for Business AND
COMP 1013 MATH 1002 Analytics Programming)
OR
(MATH 1012 Management Analytics AND
COMP 1013 MATH 1002 Analytics Programming)
OR
(MATH 2006 Experimental Design and Analysis AND
COMP 1013 MATH 1002 Analytics Programming)
(MATH 1028 Statistical Decision Making OR
MATH 1003 Biometry OR
COMP 1014 Thinking about Data)
OR
(MATH 1030 Statistics for Business AND
COMP 1013 MATH 1002 Analytics Programming)
OR
(MATH 1012 Management Analytics AND
COMP 1013 MATH 1002 Analytics Programming)
OR
(MATH 2006 Experimental Design and Analysis AND
COMP 1013 MATH 1002 Analytics Programming)
Co-requisite(s): For students enrolled in courses 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science
COMP 1014 Thinking About Data
COMP 1014 Thinking About Data
Restrictions: Please see the Subject Details page for any restrictions for this subject
