As the use of big data become increasingly important to businesses, it is essential to analyse the data and provide meaningful view and knowledge to support judgment and action plans. This unit provides students with advanced analytical methodologies and data mining models for ICT business analytics, as well as contemporary techniques to visualise the data for decision support. The content includes data preparation, association rule analysis, classification, clustering, regression, anomaly detection, building analytic models using SQL and data visualisation.
Unit details
Location:
Study level:
Undergraduate
Credit points:
12
Unit code:
NIT3171
Prerequisites
NIT2171 - Introduction to ICT Management or
NIT2202 - Big Data or
NIT2271 - ICT Change Management
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Learning Outcomes
| 1. | Review the current algorithms, methodologies and modelling for ICT business analytics; | ||
| 2. | Evaluate various ICT business analytic tools and techniques; and | ||
| 3. | Propose a business analytics report to solve practical problems identified in an ICT business project. |
Assessment
| Assessment type | Description | Grade |
|---|---|---|
| Test | Knowledge Test | 20% |
| Other | Contributions to class discussion | 20% |
| Project | Group project on BA solution development | 40% |
| Test | Tests | 20% |
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