AC9TDI10P01

Elaborations

• AC9TDI10P01_E1developing systems that store structured data, for example a movie or travel review website that collects Likert scale ratings and written reviews
• AC9TDI10P01_E2developing systems that check data is correct and meaningful using automated techniques and manual analysis, for example, validating movie review data using rules and user interface elements, and detecting bias and fake reviews through simple statistical analysis
• AC9TDI10P01_E3developing systems that acquire, use and protect data according to the Australian Privacy Principles, for example ensuring personally identifiable information is not publicly shared without consent and is protected from unauthorised access
• AC9TDI10P01_E4accessing and storing data from the Australian Bureau of Statistics in a format that is useful for analysis, for example acquiring data on the population growth across age groups in Australia
• AC9TDI10P01_E5identifying strengths and weaknesses of collecting data using different methods, for example online surveys, face-to-face interviews, phone interviews, observation, comments in response to a social media posting, phone logs, browser history and online webcam systems
• AC9TDI10P01_E6considering how training data issues such as the zero problem dictate the output from predictive models; for example, a model with many examples of horses and no zebras in its training data is likely to classify all zebras as horses