- Code COMP3620
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Computer Science
- Academic career UGRD
- Dr Miguel Ramirez Javega
- Mode of delivery In Person
- Co-taught Course
First Semester 2016
See Future Offerings
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 knowledge representation, search, reasoning, learning and designing intelligent agents. The course also aims to give an overview of other topics within AI, such as for example robotics, and of the historical, philosophical, and logical foundations of AI.
Upon successful completion, students will have the knowledge and skills to:After completing this course, students should be able 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, as a Markov decision process, etc).
- Implement basic AI algorithms (e.g., standard search algorithms or dynamic programming).
- Design and perform an empirical evaluation of different algorithms on a problem formalisation, and state the conclusions that the evaluation supports.
Assignments (50%); Final Exam (50%)
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Thirty three one-hour lectures, four tutorials and five laboratory sessions.
Requisite and Incompatibility
Stuart Russell and Peter Norvig (2010) Artificial Intelligence. A Modern Approach (3rd edition).
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|2379||15 Feb 2016||26 Feb 2016||31 Mar 2016||27 May 2016||In Person||N/A|