# Programs and Courses

**Source**: https://programsandcourses.anu.edu.au/course/COMP1110
**Parent**: https://programsandcourses.anu.edu.au/program/AACOM

- Code
  [COMP1110](https://programsandcourses.anu.edu.au/2026/course/COMP1110)
- Unit Value
  6 units

- Offered by
  School of Computing
- ANU College
  ANU College of Systems and Society
- Course subject
  Computer Science
- Areas of interest
  Business Information Systems, Bioinformatics, Computer Science, Information Technology, Software Engineering
  [More...](#areas-of-interest)

- Academic career
  UGRD
- Course convener
  - Dr Fabian Muehlboeck
  - Dr Liam O'Connor
- Mode of delivery
  In Person
- Co-taught Course
  - [COMP6710](https://programsandcourses.anu.edu.au/course/COMP6710)
- Offered in

  First Semester 2026\

  Second Semester 2026\

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

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Structured Programming ([COMP1110](https://programsandcourses.anu.edu.au/2026/course/COMP1110))

- [Introduction](#introduction)
- [Learning Outcomes](#learning-outcomes)
- [Indicative Assessment](#indicative-assessment)
- [Workload](#workload)
- [Requisite and Incompatibility](#incompatibility)
- [Prescribed Texts](#prescribed-texts)
- [Assumed Knowledge](#assumed-knowledge)
- [Areas of Interest](#areas-of-interest)
- [Fees](#fees)
- [Offerings and Dates](#terms)

This programming course teaches basic concepts in imperative and object-oriented programming and corresponding data structures.

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Students will learn to use an industrial-strength object-oriented programming language and form basic mental models of how computer programs execute and interact with their environment. The course focuses on key aspects of solving programming problems: reasoning about a problem description to design appropriate data representations and function/method descriptions, to find examples, to write, test, debug, and otherwise evaluate the relevant code, and to present and defend their approach.

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Students will learn to effectively use a large standard library and key standard data structures, including lists, trees, hash tables, and graphs. The course also introduces the basics of reasoning about the time and space complexity of algorithms, in particular as related to the above data structures.

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The Advanced version of this course ([COMP1140](https://programsandcourses.anu.edu.au/2026/course/COMP1140) offered in Semester 2 only) covers these topics in more depth, allowing students to deepen their understanding and experience.

## Learning Outcomes

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

1. Apply fundamental programming concepts, using an object-oriented programming language, to solve practical programming problems
2. Implement, debug, and evaluate algorithms for solving substantial problems; implement an abstract data type
3. Apply basic algorithmic analysis to simple algorithms; use appropriate algorithmic approaches to solve problems
4. Design, implement, and test data structures and code
5. Present, explain, evaluate, and defend choices in design and implementations of programs and algorithms
6. Understand their ethical responsibilities as a programmer with respect to Academic integrity, the use of Artificial Intelligence and authorship of code.

## Indicative Assessment

1. Assignments and In-Person activities (40) [LO 1,2,3,4,5,6]
2. Final Exam and mid-term test (60) [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

Lectures, tutorials/laboratory sessions, presentations, assessments and self-study to a total of 130 hours.

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## Requisite and Incompatibility

To enrol in this course you must have completed:
[COMP1100](https://programsandcourses.anu.edu.au/2026/course/COMP1100) OR [COMP1130](https://programsandcourses.anu.edu.au/2026/course/COMP1130) OR [COMP1730](https://programsandcourses.anu.edu.au/2026/course/COMP1730).
You are not able to enrol in this course if you have completed [COMP1140](https://programsandcourses.anu.edu.au/2026/course/COMP1140) or [COMP6710](https://programsandcourses.anu.edu.au/2026/course/COMP6710) or [COMP7710](https://programsandcourses.anu.edu.au/2026/course/COMP7710).

## Prescribed Texts

See [Structured Programming COMP1110 website](https://comp.anu.edu.au/courses/comp1110/)

## Assumed Knowledge

MCOMP students from 2026 onwards must enrol in [COMP7710](https://programsandcourses.anu.edu.au/2026/course/COMP7710) Programming Fundamentals.

## Areas of Interest

- Business Information Systems
- Bioinformatics
- Computer Science
- Information Technology
- Software Engineering
- Advanced Computing
- Information Systems
- Human Centred Computing
- Intelligent Systems
- Software Development
- Algorithms and Data
- Artifical Intelligence
- Computer Systems
- Computer Engineering
- Computational Foundations

## 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.

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## 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.
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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 |
| --- | --- | --- | --- | --- | --- | --- |
| 3697 | 23 Feb 2026 | 02 Mar 2026 | 31 Mar 2026 | 29 May 2026 | In Person | [View](https://programsandcourses.anu.edu.au/course/COMP1110/First%20Semester/3697) |

### Second Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 8671 | 27 Jul 2026 | 03 Aug 2026 | 31 Aug 2026 | 30 Oct 2026 | In Person | N/A |

### First Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 5110 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |

### Second Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 10113 | 26 Jul 2027 | 02 Aug 2027 | 31 Aug 2027 | 29 Oct 2027 | In Person | N/A |