UnitLevel 2Undergraduate

FIT2014 Theory of computation

Faculty of Information Technology

FIT2014 Theory of computation is a level 2, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2022 in Semester 2 at Clayton and Malaysia. It has no prerequisites and unlocks 3 units, leading on to 6 units in all. Students rate it 4.0 out of 5 from 1 review and call it hard.

Credit points
6
Offered in 2022
Semester 2
Clayton, Malaysia
Assessment
Exam 50%
and 4 other tasks
Workload
144 hours
per semester

This is the 2022 handbook entry. See the 2027 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
5.0out of 5 from 1 review
Assessment
4.0out of 5 from 1 review
Usefulness
3.0out of 5 from 1 review
Difficulty
Hard
Workload
Moderate

What students say

  • JSOctober 2026 · Took it in 2025
    4 out of 5: Good

    Theory of computation is abstract at first but really satisfying once automata and Turing machines click. Less directly practical than other units, but it changes how you think about problems. Keep up with the tutorials, the later weeks build on everything.

    • Teaching4out of 5
    • Content5out of 5
    • Assessment4out of 5
    • Usefulness3out of 5
    • DifficultyHard
    • WorkloadModerate

Requisites

Before FIT2014

No prerequisites or corequisites besides the enrolment rules below.

Enrolment rules

Prerequisite:

  • One of FIT1045, FIT1048, FIT1051, FIT1053, ENG1003, ENG1013 or (FIT1040 and FIT1029), or an equivalent introductory programming unit

AND

  • One of MAT1830, MTH1030, MTH1035, ENG1005 or equivalent

Prohibition: 

  • CSE2303

Overview

This unit introduces formal languages, models of computation, and computational complexity. It looks at what computers can and cannot compute. Topics include finite state automata, regular expressions, grammars, pushdown automata, computable functions, Turing machines, polynomial-time reductions, complexity classes P and NP, and NP-completeness. Skills at writing formal proofs will be developed.

Offerings in 2022

Teaching periodCampusMode
Second semesterClaytonOn campus
Second semesterMalaysiaOn campus

Assessment

  • Practical PreparationOtherThreshold hurdle
    5%
  • Assignment 1: Regular Expressions and Finite AutomataAssignmentThreshold hurdle
    10%
  • Mid-semester TestIn class testThreshold hurdle
    15%
  • Assignment 2: Lexical Analysis, Parsing, ComputabilityAssignmentThreshold hurdle
    20%
  • Scheduled final assessment (3 hours and 10 minutes)ExamThreshold hurdle
    50%

Learning outcomes

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

  1. 1

    Use propositional logic, predicates and quantifiers to represent and analyse problems in the theory of computation;

  2. 2

    Construct Finite Automata, Nondeterministic Finite Automata and Context-Free Grammars to describe languages;

  3. 3

    Convert Regular Expressions into Finite Automata and vice versa;

  4. 4

    Find a Regular Grammar for a Regular Language;

  5. 5

    Find a parse tree, leftmost derivation and rightmost derivation for a word in a Context Free Language;

  6. 6

    Use Turing Machines to describe languages and represent computable functions;

  7. 7

    Demonstrate the limitations of the models of computation considered;

  8. 8

    Show a language is not regular, or not context-free, or not decidable;

  9. 9

    Show that a language is in P, or in NP, or NP-complete;

  10. 10

     

    Write rigorous formal proofs, including proofs by construction, cases, contradiction and induction.

     

     

Workload and teaching

  • Laboratories6 hours
  • Lectures36 hours
  • Tutorials16 hours
  • Teaching approachEnquiry-based learning
  • Teaching approachActive learning
  • Teaching approachPeer assisted learning
  • Teaching approachProblem-based 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 activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement.

Learning resources

Recommended resources

Sipser, M., 2013, Introduction to the theory of computation, 3rd Edition, Cengage Learning, Boston, MA

Sydney Padua, The Thrilling Adventures of Lovelace and Babbage, Penguin, 2016. ISBN:  978-0-141-98153-6

Technology resources

Turing machine simulator, Tuatara (version 2.1), as well as Linux.

Where it fits

FIT2014 is part of 7 areas of study in the 2022 handbook.

Contacts

Unit Coordinators
Associate Professor Wong Kok Sheik
Chief Examiners
Professor Graham Farr

Common questions

What are the prerequisites for FIT2014?

FIT2014 has no prerequisites, but enrolment rules apply.

What can I take after FIT2014?

FIT2014 is a prerequisite or corequisite for 3 units, including MTH2137, MTH3170 and MTH3175. Those lead on to 6 units in all.

When is FIT2014 offered?

In 2022, FIT2014 runs in Semester 2 at Clayton and Malaysia.

Is FIT2014 hard?

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

Does FIT2014 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 4 other tasks.

Which majors and minors include FIT2014?

FIT2014 is part of Computational science, Computer science, Mathematics and Pure mathematics.

What do students think of FIT2014?

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
2
Study level
Undergraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available