Data Structures And Algorithms

Every piece of software you have ever used — from your banking app to the checkout at Coles — stands or falls on two things: how it organises its data, and how efficiently it works with that data. Data structures and algorithms are the difference between code that merely runs and code that scales, between a developer who copies solutions and one who designs them. They are also, without exception, the subject matter of every serious technical interview at Australian and global tech employers alike. This course is a complete, ground-up pathway: you begin with how a computer actually stores information and finish able to select, implement and reason about the right structure and the right algorithm for a real problem — and to defend your choice in Big-O terms. Every example is practical and Australianised: postcodes and suburb lookups for hash tables, Melbourne's train network for graphs, delivery routes along the Surf Coast for shortest-path algorithms, and AUD-denominated scenarios throughout. Fully self-paced and delivered through our Moodle LMS as interactive lessons, each chapter combines short, focused reading with animated algorithm visualisations, hands-on coding activities, knowledge checks, drag-and-drop exercises and branching real-world scenarios — so you're doing, not just watching, from the very first session.