Unit of study_

COMP9123: Data Structures and Algorithms

2024 unit information

This unit will teach some powerful ideas that are central to solving algorithmic problems in ways that are more efficient than naive approaches. In particular, students will learn how data collections can support efficient access, for example, how a dictionary or map can allow key-based lookup that does not slow down linearly as the collection grows in size. The data structures covered in this unit include lists, stacks, queues, priority queues, search trees, hash tables, and graphs. Students will also learn efficient techniques for classic tasks such as sorting a collection. The concept of asymptotic notation will be introduced, and used to describe the costs of various data access operations and algorithms.

Unit details and rules

Computer Science

Code COMP9123 Computer Science 6
 Prerequisites: ? None None INFO1105 OR INFO1905 OR COMP2123 OR COMP2823 None

At the completion of this unit, you should be able to:

• LO1. demonstrate proficiency in organising, presenting and discussing professional ideas and issues in oral, written and graphic formats. Thorough descriptive reporting. With thorough consideration of format and audience requirements. Fluent presentation of engineering/IT concepts and issues to professional and non-professional audiences, using a varied range of professional communication tools and formats
• LO2. design an algorithmic solution to a problem, coding it, analysing its complexity, and evaluating its suitability to a context
• LO3. write code that recursively performs an operation on a data structure
• LO4. apply basic algorithmic techniques (e.g. divide-and-conquer, greedy) to given design tasks
• LO5. use notation of big-Oh to represent asymptotic growth of cost functions
• LO6. understand commonly used data structures, e.g., lists, stacks, queues, priority queues, search trees, hash tables, and graphs. This covers the way information is represented in each structure, algorithms for manipulating the structure, and analysis of asymptotic complexity of the operations
• LO7. understand basic algorithms related to data structures, such as algorithms for sorting, tree traversals, and graph traversals
• LO8. use mathematical methods to evaluate the performance of an algorithm.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA   Location Outline
Semester 1 2024
Normal day Camperdown/Darlington, Sydney
Semester 2 2024
Normal evening Camperdown/Darlington, Sydney
Outline unavailable
Session MoA   Location Outline
Semester 1 2020
Normal day Camperdown/Darlington, Sydney
Semester 1 2021
Normal evening Camperdown/Darlington, Sydney
Semester 1 2021
Normal evening Remote
Semester 2 2021
Normal evening Remote
Semester 1 2022
Normal evening Camperdown/Darlington, Sydney
Semester 1 2022
Normal evening Remote
Semester 2 2022
Normal evening Camperdown/Darlington, Sydney
Semester 2 2022
Normal evening Remote
Semester 1 2023
Normal evening Camperdown/Darlington, Sydney
Semester 1 2023
Normal evening Remote
Semester 2 2023
Normal evening Camperdown/Darlington, Sydney

Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.