FIT1062 · Data management

Overview

This unit introduces the principles of data management through the design, implementation, and use of relational databases. It develops foundational skills in modelling data, translating real-world requirements into sound relational designs, and implementing those designs in an enterprise-scale database system. You will learn how to define schemas, enforce integrity, manage transactions, and retrieve and update data using declarative query languages, while also developing an awareness of the broader data-management landscape beyond the relational model. Through practical database design and querying tasks, the unit builds the discipline required to manage data accurately, responsibly, and in ways that support future work in software projects, analytics, and large-scale systems.

Offerings

Assessment

The Handbook publishes no assessment items for this unit yet.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Apply privacy-aware and ethical working practices when handling data assets, recognising obligations around consent, retention and protection across the data lifecycle;
2. Describe how data-management decisions shape equity, sustainability and Indigenous data sovereignty, and identify concrete opportunities to design responsibly for diverse communities;
3. Communicate data designs, schemas and query intentions clearly to technical and non-technical stakeholders using diagrams, declarative queries and structured written explanations;
4. Design, code, test and document database schemas, integrity constraints and queries to agreed standards, making transparent use of AI-enabled tools to accelerate routine work while verifying correctness.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Student experience, not official rules. Nothing here changes what the Handbook says.