Subject code: CP5806:03
This subject covers a variety of important topics under the umbrella of data and information management. Students will learn concepts and techniques related to a varied spectrum of topics in this area, ranging from database management to data security, privacy and ethics. Core elements of this subject include: Data sources, data measurement, data storage (including principles of data warehousing and distributed database management systems), advanced data querying (basics on data cubes and OLAP), notions of data integrity, sharing, security, ethics and privacy in data management and analysis including essentials on privacy preserving techniques for data analysis.
Software platform: various
- Analyse and apply the principles of data warehousing and distributed database management systems
- Construct and apply advanced data querying including data cubes and OLAP.
- Critically evaluate the principals of data integrity, sharing, security, ethics and privacy in data management and analysis including the implementation of the essentials on privacy preserving techniques for data analysis.
Assessment for this course will occur at various times across the seven-week study period. Tasks may include online quizzes, discussion board activity, portfolio development, case studies, reflection, literature reviews presentations and reports.Feedback will be provided to you throughout the study period as well as a final grade at the conclusion of the study period.
This is one of the interdisciplinary subjects studied in the online Master of Data Science.
Please note, course structure and content are subject to change. For information on all course subjects download the course guide.