Jason Hartley is lecturer in criminology at Griffith University in Brisbane, Australia. He is a former police officer with 23 years of experience, and has trained personnel for deployment in Timor Leste, the Solomon Islands, Iraq and Afghanistan. Jason specializes in, and has published on engagement with Muslim communities, Indigenous Polynesian approaches to rehabilitation and reducing recidivism, and Asian Organised Crime. Jason also completed a community internship in Hebron on the West Bank.
ITC503 Big Data
This unit provides advanced understanding of techniques, such as data mining, machine learning, and deep learning from computer science, statistics, and maths to a range of organisational and business fields. It provides critical assistance in determining sustainability and profitability of businesses. Students will learn and apply various techniques used in big data and analysis of data to deliver business outcomes and gain competitive advantage.
RELEVANT COURSES
- Master of Business Administration*
- Master of Counterterrorism Leadership
- Master of Police Leadership
- Graduate Diploma of Business Administration*
- Graduate Diploma of Counterterrorism Leadership
- Graduate Diploma of Police Leadership
- Graduate Certificate in Leadership (Cybersecurity)
* Core unit
CREDIT POINTS
10
STUDY MODES
On campus, online, hybrid
PREREQUISITE OR CO-REQUISITE
ITC400 Information Systems
UNIT LEARNING OUTCOMES
- Demonstrate an advanced understanding of the use of big data tools and techniques in business contexts.
- Critically analyse various data mining techniques to discover patterns in large data sets.
- Apply big data tools and techniques in scenarios involving various combinations of physical and economic factors.
- Apply R programming to produce real-time analysis of emerging issues in commercial products.
- Explain algorithms of social media analytics to leverage insights into customer sentiment.
CONTENT
- Big data and big data science in business
- Software and programs of big data analytics
- Hadoop architecture and HDFS
- Hadoop clusters and the Hadoop ecosystem
- Incorporation of business data into Hadoop MapReduce Framework
- R programming
- Correlation test and matrix
- Nonlinear regression, factor analysis
- Big analytics in commerce
ASSESSMENT METHODS
- Project – 20%
- Group Presentation – 30%
- Model – 50%
PRESCRIBED READINGS
Nil













