Programs and Courses

Source: https://programsandcourses.anu.edu.au/course/COMP1130 Parent: https://programsandcourses.anu.edu.au/program/AACOM

• Code COMP1130

• Unit Value 6 units

• Offered by School of Computing

• ANU College ANU College of Systems and Society
• Course subject Computer Science

• Areas of interest Computer Science, Information Technology, Software Engineering, Software Development, Computer Systems

• Academic career UGRD

• Course convener
• Prof Dirk Pattinson
• Mode of delivery In Person
• Co-taught Course
• COMP1100
• Offered in

First Semester 2026\

See Future Offerings - STEM Course

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Programming as Problem Solving (Advanced) (COMP1130)

• Introduction
• Learning Outcomes
• Indicative Assessment
• Workload
• Requisite and Incompatibility
• Prescribed Texts
• Assumed Knowledge
• Other Information
• Fees
• Offerings and Dates

This course is a variation on Programming for Problem Solving (COMP1100 ). It covers the same topics in more depth, requiring addtional contact hours to allow students to deepen their understanding and experience. They will understand the foundations of program semantics, program proof, and implementation of the programming language features that they have learned in the course. As the advanced version of the course the first six Learning Outcomes are the same as for COMP1100.

Learning Outcomes

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

1. Apply fundamental programming concepts, using a functional programming language, to solve problems.
2. Understand basic types and the benefits of static typing.
3. Describe, understand and evolve programs, via documentation, testing, and debugging.
4. Discuss, use, and apply the fundamentals of data structures, algorithms, and design; create, implement, and debug algorithms for solving problems, including recursively, using divide-and-conquer, and via decomposition.
5. Discuss basic algorithmic analysis for simple algorithms; determine appropriate algorithmic approaches to a problem (for example bruteforce, greedy, divide-and-conquer, recursive backtracking, heuristic, dynamic programming).
6. Understand and apply the concepts of parametric and ad-hoc polymorphism.
7. Reflect on the fundamental mathematical concepts underlying functional programming.
8. Use formal proof and structural induction to reason about the correctness of functional programs.
9. Assessing the significance of different evaluation strategies, including laziness, for the computational behaviour of functional programs.

Other Information

As COMP1130 is the Advanced version of COMP1100, if you choose COMP1130 there is the option to change to COMP1100 in the first 2 weeks of class if needed.

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This course may be taken as an alternative to Programming as Problem Solving COMP1100 and satisfies all prerequisites that would be satisfied by that course.

Indicative Assessment

1. Assignments (30) [LO 1,2,3,4,5,6]
2. Lab Assessment (5) [LO 1,2,3,4,5,6]
3. Mid-Term Exam (10) [LO 1,2,3,7,8]
4. Final Exam (55) [LO 1,2,3,4,5,6,7,8,9]

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 website.

Workload

Lectures, tutorial/laboratory sessions and self-study to work through the material, and prepare for assessments and labs.

Requisite and Incompatibility

Incompatible with COMP1100.

Prescribed Texts

n/a

Assumed Knowledge

Students are assumed to have achieved a level of knowledge of mathematics comparable to at least ACT Specialist Mathematics Major/Minor or NSW Mathematics Extension 1 or equivalent. No programming, Computer Science or IT experience or skills are required

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. 

Student Contribution Band: : 2

Unit value: : 6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) placeor 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.

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

Course fees

Domestic International

Domestic fee paying students

International fee paying students

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.

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

2027

First Semester

First Semester