University of Technology, Sydney

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31243 Analytics Capstone Project B

6cp
Requisite(s): 31250 Introduction to Data Analytics

Information Technology: Software


Undergraduate

Description

Data mining and knowledge discovery is the kernel of contemporary computer analytics and intelligence. The process consists of several iterative steps, including data pre-processing and transformation, the actual data mining and pattern discovery steps, and putting discovered information and knowledge into action. This subject is focused on the practical implementation of this process to large data sets from different areas of human endeavour. It provides students with exposure to real-world analytics scenarios, and with expertise and experience in the application of the data mining techniques and in professional communication of analytics results. Students choose a real-world project of interest and, with the help of a staff mentor, research, plan and produce an outcome. They communicate the results of the project in a detailed report.

Typical availability

Autumn session, City campus

Spring session, City campus


Detailed subject description.

Fee information

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Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.