This course teaches introductory programming, fundamental programming language and computer science concepts, and computational problem solving illustrated with applications common in science and engineering, such as data analysis, visualisation, and image processing. We will take a different approach, including prompting and working with GenAI, with emphasis on testing, debugging and problem decomposition, and using GenAI to help understand code.These skills will empower students to write software with the aid of GenAI. Assessment will include exam(s) without the aid of GenAI. Students will also create larger software projects with the aid of GenAI. The course does not require any prior knowledge of programming or computer science. It is designed to be a stand-alone computing unit.Students who wish to study computing courses at a higher level should check course prerequisites as they may need to complete COMP6710 or COMP7710 in addition to COMP6730.
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Requisite and Incompatibility
You are not able to enrol in this course if you have successfully completed COMP1100, COMP1130, COMP1730, COMP6710 or COMP7710.
Referenced entries (5)
Links and code mentions retain their original context above. They may describe options, prerequisites or exclusions.
- COMP1100 · 2027 · saved source not linked
- COMP1130 · 2027 · saved source not linked
- COMP1730 · 2027 · saved source not linked
- COMP6710 · 2027
- COMP7710 · 2027
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Apply advanced programming constructs and structured programming methodologies to develop reliable software systems.
Explain key concepts in AI-assisted programming, including Large Language Models (LLMs), prompting, problem decomposition, and top-down design.
Apply AI-assisted programming workflows and advanced prompt-engineering techniques to guide, refine, and improve code generated by AI assistants.
Analyse the computational complexity of programs, and apply debugging and testing techniques, including black-box and white-box testing.
Evaluate and improve code quality using critical judgement.
Design and implement complete programs that solve practical problems using structured programming methodologies and AI-assisted prompting.
Critically evaluate the role, benefits, limitations, and risks of generative AI in software development projects
Published offerings
Future offerings are indicative. Only recognised 2027 sessions with a published class number are offered in the enrolment demo.
| Year | Session | Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|---|---|
| 2027 | First Semester | 5399 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |
| 2027 | Second Semester | 10103 | 26 Jul 2027 | 02 Aug 2027 | 31 Aug 2027 | 29 Oct 2027 | In Person | N/A |
| 2028 | First Semester | 6710 | 21 Feb 2028 | 28 Feb 2028 | 31 Mar 2028 | 26 May 2028 | In Person | N/A |
| 2028 | Second Semester | 10862 | 24 Jul 2028 | 31 Jul 2028 | 31 Aug 2028 | 27 Oct 2028 | In Person | N/A |
Complete offering text
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. 2027 2028 First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 5399 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 10103 26 Jul 2027 02 Aug 2027 31 Aug 2027 29 Oct 2027 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 6710 21 Feb 2028 28 Feb 2028 31 Mar 2028 26 May 2028 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 10862 24 Jul 2028 31 Jul 2028 31 Aug 2028 27 Oct 2028 In Person N/A
Source evidence (1 saved copy)
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assets/Courses/Remained/6000/Programming for Scientists/Programming for Scientists - ANU.html
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