UnitLevel 1Undergraduate

FIT1054 Fundamentals of algorithms (Advanced)

Faculty of Information Technology

FIT1054 Fundamentals of algorithms (Advanced) is a level 1, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2025 in Semester 2 at Clayton. It needs FIT1045 or FIT1053 and unlocks 6 units, leading on to 34 units in all.

Credit points
6
Offered in 2025
Semester 2
Clayton
Assessment
No exam
4 tasks
Workload
144 hours
per semester

This is the 2025 handbook entry. See the 2026 entry.

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Requisites

Overview

This unit introduces you to core problem-solving, analytical skills, and methodologies useful for developing flexible, robust, and maintainable software. In doing this, it covers a range of conceptual levels, from fundamental algorithms and data structures, down to their efficient implementation as well as complexity. Topics include data types, data structures, algorithms, algorithmic complexity, recursion, and their practical applications.

Offerings in 2025

Teaching periodCampusMode
Second semesterClaytonOn campus

Assessment

  • Assignment 1Artefact
    35%
  • Assignment 2Artefact
    35%
  • Assignment 3Artefact
    15%
  • Weekly QuizzesQuiz / Test
    15%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Translate problem statements into algorithms and implement them in a high level programming language;

  2. 2

    Determine appropriate basic abstract data types, including; stacks, queues, lists, binary trees, priority queues, heaps and hash tables; for specific contexts;

  3. 3

    Theoretically and experimentally evaluate different implementations of basic abstract data types;

  4. 4

    Analyse the efficiency of algorithms by determining their best-case and worst-case big-O time complexity;

  5. 5

    Work in teams to analyse algorithms and write programs.

Workload and teaching

  • Workshops24 hours
  • Applied sessions24 hours
  • Teaching approachPeer assisted learning

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.

Learning resources

Recommended resources

Introduction to Algorithms Authors: Thomas Cormen, Charles Leiserson, Ronald Rivest, and Clifford Stein
Problem-Solving with algorithms and data structures using Python Author: Miller & Ranum [also freely available online under CC license: https://interactivepython.org/runestone/static/pythonds/index.html]
Data Structures & Algorithms in Python Authors: Goodrich, Tamassia & Goldwasser

Technology resources

Python 3: This will be our programming language. Please make sure you get at least version 3.3 - https://www.python.org/downloads/

PyCharm : A good Python IDE. http://www.jetbrains.com/pycharm/

Where it fits

FIT1054 is part of 3 areas of study in the 2025 handbook.

Contacts

Chief Examiners
Associate Professor Markus Wagner
Unit Coordinators
Associate Professor Markus Wagner

Common questions

What are the prerequisites for FIT1054?

You need FIT1045 or FIT1053 before you enrol.

What can I take after FIT1054?

FIT1054 is a prerequisite or corequisite for 6 units, including FIT2004, FIT2014, FIT2099, FIT2102, FIT3139 and FIT3179. Those lead on to 34 units in all.

When is FIT1054 offered?

In 2025, FIT1054 runs in Semester 2 at Clayton.

How much work is FIT1054?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does FIT1054 have an exam?

No. FIT1054 has 4 assessment tasks and no exam.

Which majors and minors include FIT1054?

FIT1054 is part of Computational science.

More details

Credit points
6
Level
1
Study level
Undergraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available
Handbook years
2020202120222023202420252026