- Code COMP3620
- Unit Value 6 units
- Offered by School of Computing
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Computer Science, Intelligent Systems, Artifical Intelligence
- Academic career UGRD
- Dr Felipe Trevizan
- Mode of delivery In Person
- Co-taught Course
First Semester 2021
See Future Offerings
Course has been adjusted for remote participation in S1 2021 Some on-campus activities are available. Attendance at these where possible is encouraged
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.
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, 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 state the conclusions that the evaluation supports.
Assignments (50%); Final Exam (50%)
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WorkloadTwenty-two one-hour lectures, six tutorials and four 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.
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:
- 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.
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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|
|2189||22 Feb 2021||01 Mar 2021||31 Mar 2021||28 May 2021||In Person||N/A|