Abstract Data Types

This category challenges Higher Level students to work with abstract data structures that enable efficient organization, access, and manipulation of data. Students will study linear and non-linear ADTs, including stacks, queues, linked lists, trees, and graphs, focusing on their conceptual behavior, underlying operations, and algorithmic implementation. The emphasis is on understanding how data structures are used to solve problems efficiently, analyzing trade-offs in performance (e.g., time/space complexity), and applying recursion where appropriate. Students will implement these structures in code, develop algorithms that leverage them effectively, and evaluate their use in diverse computational contexts. Mastery of ADTs forms a crucial bridge to advanced computing, software engineering, and algorithmic problem solving.