Course overview
This course provides an introduction to program development techniques with a focus on basic ideas of correctness and proof. The course introduces, among others, notions of complexity and analysis, recursion, abstract data types, representation of lists, stacks, queues, sets, trees and hash tables, graphs and Graph Traversal. The course allows students to experience different approaches to problem solving.
Course learning outcomes
- Skills in performing analysis of given recursive and iterative algorithms.
- Understanding and performing simple proofs of algorithmic complexity and correctness.
- An ability to understand and derive recurrences describing algorithms and properties of data structures.
- An understanding of the implementation and efficiency of a range of data structures including, trees, binary heaps, hash-tables and graphs.
- An understanding of a variety of well-known algorithms on some of the data structures presented.
- The ability to implement and use these algorithms in code.
- A foundational understanding of intractability.
- An understanding of proof techniques for NP-Completeness.
- Ability to solve new analytic and algorithmic problems.
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.