UnitLevel 1Undergraduate

FIT1008 Fundamentals of algorithms

Faculty of Information Technology

FIT1008 Fundamentals of algorithms is a level 1, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2025 in Semester 1 and Semester 2 at Clayton and Malaysia. It needs FIT1045 or FIT1053 and unlocks 12 units, leading on to 47 units in all. Students rate it 4.0 out of 5 from 1 review and call it hard.

Credit points
6
Offered in 2025
Semester 1, Semester 2
Clayton, Malaysia
Assessment
No exam
7 tasks
Workload
144 hours
per semester

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

Reviews

Rated 4.0 out of 5 from 1 review
4.01 review
  1. 5 stars: 0
  2. 4 stars: 1
  3. 3 stars: 0
  4. 2 stars: 0
  5. 1 star: 0
Teaching
4.0out of 5 from 1 review
Content
4.0out of 5 from 1 review
Assessment
3.0out of 5 from 1 review
Usefulness
5.0out of 5 from 1 review
Difficulty
Hard
Workload
Heavy

What students say

  • JSOctober 2026 · Took it in 2024
    4 out of 5: Good

    Solid introduction to data structures and complexity. The content is genuinely useful for interviews later on. Assignment specs were a bit long and some marking felt strict on edge cases, so read the rubric carefully and write your own tests.

    • Teaching4out of 5
    • Content4out of 5
    • Assessment3out of 5
    • Usefulness5out of 5
    • DifficultyHard
    • WorkloadHeavy

Requisites

Enrolment rules

Prerequisites: Students beginning FIT1008 are assumed to be able to: Identify the main components of an algorithm (variables, operators, expressions, etc), and write the algorithm associated to the specification of a simple problem. Be able to translate a simple algorithm into a program containing variable declarations, selection, repetition, and lists and/or arrays.

Equivalent units

The same content under another code. Only one of them counts.

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
First semesterClaytonOn campus
First semesterMalaysiaOn campus
Second semesterClaytonOn campus
Second semesterMalaysiaOn campus

Assessment

  • Assignment A1aArtefact
    15%
  • Assignment A1bQuiz / Test
    20%
  • Assignment A2aArtefact
    20%
  • Assignment A2bQuiz / Test
    15%
  • Assignment A3aArtefact
    7.5%
  • Assignment A3bQuiz / Test
    7.5%
  • Weekly QuizQuiz / 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

This unit has a requirement of 1-2 hours per week of asynchronous 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

1.  Problem-Solving with algorithms and data structures using Python, Authors: Miller & Ranum
[also freely available online under CC license: https://interactivepython.org/runestone/static/pythonds/index.html]

2. Data Structures & Algorithms in Python, Authors: Goodrich, Tamassia & Goldwasser

3. "Introduction to Algorithms” by Thomas Cormen, Charles Leiserson, Ronald Rivest, and Clifford Stein

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

FIT1008 is part of 4 areas of study in the 2025 handbook.

Contacts

Unit Coordinators
Brendon Taylor
Yasmeen George
Dr Muhammad Fermi Pasha
Chief Examiners
Associate Professor Markus Wagner

Common questions

What are the prerequisites for FIT1008?

You need FIT1045 or FIT1053 before you enrol. Enrolment rules also apply.

What can I take after FIT1008?

FIT1008 is a prerequisite or corequisite for 12 units, including FIT2004, FIT2014, FIT2099, FIT2102, FIT2179 and FIT3139. Those lead on to 47 units in all.

When is FIT1008 offered?

In 2025, FIT1008 runs in Semester 1 and Semester 2 at Clayton and Malaysia.

Is FIT1008 hard?

Students who took it rate it hard to do well in and heavy on workload (1 rating). The handbook expects about 144 hours of study across the semester.

Does FIT1008 have an exam?

No. FIT1008 has 7 assessment tasks and no exam.

Which majors and minors include FIT1008?

FIT1008 is part of Computational science and Computer science.

What do students think of FIT1008?

It is rated 4.0 out of 5 from 1 review. Read the reviews above or add your own.

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