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.
ITC403 Data Analytics and Modelling
This unit builds capacities and capabilities to undertake data surveys and critically interpret statistics and related business information and apply them to enhance business outcomes. The unit focuses on developing a comprehensive understanding of the broad spectrum of analytical tools available and an appreciation of the application of statistics to business choices. Real data is utilised to ensure relevance to contemporary business sectors.
RELEVANT COURSES
- Master of Counterterrorism Leadership
- Master of Police Leadership
- Graduate Diploma of Counterterrorism Leadership
- Graduate Diploma of Police Leadership
- Graduate Certificate in Leadership (Cybersecurity)*
- Graduate Certificate in Police Leadership
- Graduate Certificate in Police Leadership (Cybersecurity)
Core unit*
CREDIT POINTS
10
STUDY MODES
On campus, online, hybrid
PREREQUISITE OR CO-REQUISITE
Nil
UNIT LEARNING OUTCOMES
- Demonstrate proficiency in analysis, interpretation, and application of statistics.
- Demonstrate application of the concepts of probability theory and probability distributions to the solution of real problems.
- Draw statistical conclusions about samples and populations based on the inferential statistical tests.
- Recommend and apply appropriate statistical techniques for solving industry problems.
- Derive meaningful conclusions from detailed, statistical data analysis.
CONTENT
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- Probability; continuous and discrete probability distributions
- Sampling distribution
- Estimating single population parameters
- Estimation and hypothesis testing for two population parameters
- Hypothesis tests and estimation for population variances
- Analysis of variance
- Goodness-of-Fit tests and contingency analysis
- Forecasting including regression analysis and time series forecasting
- Sampling and simulation
ASSESSMENT METHODS
- Online quizzes – 20%
- Statistical Applications – 30%
- Exam – 40%
PRESCRIBED READINGS
Nil