FIT1058 Foundations of computing
Faculty of Information Technology
FIT1058 Foundations of computing is a level 1, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2026 in Semester 1 and Semester 2 at Clayton and Malaysia. It has no prerequisites and unlocks 8 units, leading on to 110 units in all.
- Credit points
- 6
- Offered in 2026
- Semester 1, Semester 2
- Clayton, Malaysia
- Assessment
- Exam 80%
- and 8 other tasks
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for FIT1058. This is its 2026 entry, the latest one.
Reviews
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Requisites
Before FIT1058
Corequisites
Pass these before, or take them in the same semester.
Prohibitions
You can't enrol if you have passed any of these.
After FIT1058
8 units list FIT1058 as a prerequisite or corequisite.
- FIT1008Fundamentals of algorithmsRated 4.0 out of 5 from 1 review
- FIT1054Fundamentals of algorithms (Advanced)No reviews yet
- FIT2004Algorithms and data structuresRated 4.0 out of 5 from 1 review
- FIT2014Theory of computationRated 4.0 out of 5 from 1 review
- FIT2083Innovation and research in computer scienceNo reviews yet
- FIT2085Fundamentals of algorithms for engineersNo reviews yet
- FIT2086Modelling for data analysisNo reviews yet
- FIT3139Computational modelling and simulationNo reviews yet
Enrolment rules
Prerequisite: VCE Specialist Mathematics or Mathematical Methods units 3 and 4 with a raw study score of at least 25.
Overview
Computation uses abstract formal models of real objects and systems. This unit lays the theoretical foundations for working with the most fundamental abstract models used in computer science, including relations, sequences, trees and graphs. It will develop skills in abstract modelling, logical reasoning, rigorous proof, formal analysis, enumeration and probability. These concepts and skills will be taught in a variety of contexts from across computer science.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Flexible |
| First semester | Malaysia | On campus |
| Second semester | Clayton | Flexible |
| Second semester | Malaysia | On campus |
| November teaching period | Clayton | On campus |
| October intake teaching period, Malaysia campus | Malaysia | On campus |
Assessment
- Assessed QuizzesQuiz / Test10%
- Assignment 1: Introduction to Computational ThinkingProject10%
- Mid-semester testQuiz / Test15%
- Assignment 2: Formal Methods and Logical ReasoningProject25%
- Scheduled final assessment (3 hours and 10 minutes):Examination40%
- Assessed QuizzesQuiz / TestThreshold hurdle10%
- Assignment 1: Introduction to Computational ThinkingProjectThreshold hurdle10%
- Mid-semester testQuiz / TestThreshold hurdle15%
- Assignment 2: Formal Methods and Logical ReasoningProjectThreshold hurdle25%
- Scheduled final assessment (3 hours and 10 minutes):ExaminationThreshold hurdle40%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Define discrete structures and key concepts commonly found in set theory, logic and proof, number theory, probability, combinatorics, graph theory, and related fields underlying computer science;
- 2
Solve problems in computer science using a variety of objects and structures, including sets, functions, relations, graphs, matrices and random variables;
- 3
Analyse complex formal statements, formally define discrete structures, and prove properties about them using a wide range of techniques, including proof by construction, by cases, by contradiction and by induction;
- 4
Use the language of propositional and predicate logic to formally model and reason about problems in computer science and its applications;
- 5
Apply precise counting principles and the tools of probability, number theory, and combinatorics to problems in computer science;
- 6
Relate areas of computer science with appropriate discrete structures and methods.
Workload and teaching
- Seminars36 hours
- Applied sessions24 hours
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.
Where it fits
FIT1058 is part of 2 areas of study in the 2026 handbook.
Contacts
- Chief Examiners
- Rebecca Robinson
- Dr Sheila Ilangovan
- Unit Coordinators
- Rebecca Robinson
- Michael Gill
- Dr Sheila Ilangovan
Common questions
What are the prerequisites for FIT1058?
None, but you must take FIT1045, FIT1053, ENG1013 or ENG1014 before or alongside it.
What can I take after FIT1058?
FIT1058 is a prerequisite or corequisite for 8 units, including FIT1008, FIT1054, FIT2004, FIT2014, FIT2083 and FIT2085. Those lead on to 110 units in all.
When is FIT1058 offered?
In 2026, FIT1058 runs in Semester 1 and Semester 2 at Clayton and Malaysia.
How much work is FIT1058?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT1058 have an exam?
Yes. The exam is worth 80% of the final mark, alongside 9 other tasks.
Which majors and minors include FIT1058?
FIT1058 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
- 20252026