Metadata
Title
Programs and Courses
Category
courses
UUID
2642a51db16140bf996073f64adbccb9
Source URL
https://programsandcourses.anu.edu.au/2026/course/COMP2620
Parent URL
https://programsandcourses.anu.edu.au/program/AACOM
Crawl Time
2026-03-11T02:04:08+00:00
Rendered Raw Markdown
# Programs and Courses

**Source**: https://programsandcourses.anu.edu.au/2026/course/COMP2620
**Parent**: https://programsandcourses.anu.edu.au/program/AACOM

- Code
  [COMP2620](https://programsandcourses.anu.edu.au/2026/course/COMP2620)
- Unit Value
  6 units

- Offered by
  School of Computing
- ANU College
  ANU College of Systems and Society
- Course subject
  Computer Science
- Areas of interest
  Philosophy, Computer Science, Intelligent Systems, Artifical Intelligence, Computational Foundations

- Academic career
  UGRD
- Course convener
  - Dr Ranald Clouston
- Mode of delivery
  In Person
- Co-taught Course
  - [COMP6262](https://programsandcourses.anu.edu.au/course/COMP6262)
- Offered in

  First Semester 2026\

  [See Future Offerings](#terms)
- STEM Course

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Logic ([COMP2620](https://programsandcourses.anu.edu.au/2026/course/COMP2620))

- [Introduction](#introduction)
- [Learning Outcomes](#learning-outcomes)
- [Indicative Assessment](#indicative-assessment)
- [Workload](#workload)
- [Requisite and Incompatibility](#incompatibility)
- [Prescribed Texts](#prescribed-texts)
- [Fees](#fees)
- [Offerings and Dates](#terms)

Formal logic is the fundamental mathematics of computer science. Its impact ranges from the design of programming languages and hardware, to the specification and verification of critical software, to artificial intelligence systems that can reason. This course introduces propositional and predicate logic. We discuss how to reason within these logics, how to reason about their properties and limitations, and how to use them to model situations of interest in both natural language and computer science applications. We explore how computational thinking can help us solve logic problems.

## Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

1. Model natural language and computer science applications using logical notation.
2. Construct formal proofs in logical calculi.
3. Apply computational methods to solve logical problems.
4. Analyse the properties of logics, including the relationship between logical calculi and mathematical semantics.

## Indicative Assessment

1. Weekly exercises conducted during tutorials (50) [LO 1,2,3]
2. Final Exam (50) [LO 1,2,3,4]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the [ANU Online](http://services.anu.edu.au/information-technology/software-systems/turnitin) website.

## Workload

130 hours of total student learning time made up from lectures, tutorials; and independent student research, reading and writing.

## Requisite and Incompatibility

To enrol in this course you must have completed 6 units of MATH courses OR [COMP1600](https://programsandcourses.anu.edu.au/2026/course/COMP1600).
Incompatible with [PHIL2080](https://programsandcourses.anu.edu.au/2026/course/PHIL2080) or [COMP6262](https://programsandcourses.anu.edu.au/2026/course/COMP6262).

## Prescribed Texts

None

## Fees

Tuition fees are for the academic year indicated at the top of the page.

**Commonwealth Support (CSP) Students**\
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at **[Fees](https://www.anu.edu.au/students/program-administration/fees-payments/student-contributions)**. 

Student Contribution Band:
:   [2](https://students.anu.edu.au/fees/domestic/csp.php)

Unit value:
:   6 units

If you are a **domestic graduate coursework student** with a Domestic Tuition Fee (DTF) place**or international student** you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at **[Fees](http://students.anu.edu.au/fees/)**.

Where there is a unit range displayed for this course, not all unit options below may be available.

| Units | EFTSL |
| --- | --- |
| 6.00 | 0.12500 |

## Course fees

[Domestic](#indicative-fees__domestic)
[International](#indicative-fees__international)

Domestic fee paying students

| Year | Fee |
| --- | --- |
| 2026 | $5520 |

International fee paying students

| Year | Fee |
| --- | --- |
| 2026 | $7020 |

**Note:** Please note that fee information is for current year only.

\

## Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the [Timetable webpage](https://www.anu.edu.au/students/program-administration/timetabling).

The list of offerings for future years is indicative only.
\

Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

[2026](#course-tab-1)

[2027](#course-tab-2)

### First Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 3703 | 23 Feb 2026 | 02 Mar 2026 | 31 Mar 2026 | 29 May 2026 | In Person | [View](https://programsandcourses.anu.edu.au/course/COMP2620/First%20Semester/3703) |

### First Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 5091 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |