Artificial intelligence is the science that studies and develops methods of making computers more intelligent. The focus of this course is on core AI techniques for search, knowledge representation and reasoning, planning, and designing intelligent agents. The course also aims to give an overview of the historical, philosophical, and logical foundations of AI.
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Requisite and Incompatibility
To enrol in this course you must have completed (COMP6710 OR COMP7710 OR COMP1110 OR be enrolled in Master of Computing (Advanced)) AND have completed or be currently enrolled in COMP6262 OR COMP2620 Incompatible with COMP3620.
Referenced entries (6)
Links and code mentions retain their original context above. They may describe options, prerequisites or exclusions.
- COMP6710 · 2027
- COMP7710 · 2027
- COMP1110 · 2027 · saved source not linked
- COMP6262 · 2027
- COMP2620 · 2027 · saved source not linked
- COMP3620 · 2027 · saved source not linked
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Identify problems that are amenable to solution by AI methods, and which AI methods may be suited to solving a given problem.
Formalise a given problem in the language/framework of different AI methods (e.g., as a search problem, as a constraint satisfaction problem, as a planning problem, etc).
Implement basic AI algorithms (e.g., standard search or constraint propagation algorithms).
Design and perform an empirical evaluation of different algorithms on a problem formalisation, and relate the conclusions that the evaluation supports.
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 | 5053 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |
| 2028 | First Semester | 6462 | 21 Feb 2028 | 28 Feb 2028 | 31 Mar 2028 | 26 May 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 5053 22 Feb 2027 01 Mar 2027 31 Mar 2027 28 May 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 6462 21 Feb 2028 28 Feb 2028 31 Mar 2028 26 May 2028 In Person N/A
Source evidence (1 saved copy)
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assets/Courses/Artificial Intelligence/6000/Artificial Intelligence/Artificial Intelligence - ANU.html
Published ANU page · saved page URL
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