• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Advanced
    Specialist
  • Course subject Computer Science
  • Areas of interest Computer Science

This is an advanced graduate course that covers advanced topics in Artificial Intelligence. Topics vary from one offering to the next and are likely to be drawn from the following list: planning, scheduling, games, search, reasoning (constraint-based, model-based, spatial, temporal), knowledge representation, decision-making under uncertainty, reinforcement learning, agents, foundations.

Learning Outcomes

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

The content of the course will vary at each offering. In general, through this course, students should...

  • Gain both a wide and a deep knowledge of the topic(s) taught in the current instance of the course.
  • Improve their skills at navigating through, and critically examining, the scientific literature on the taught topic(s).

Indicative Assessment

Assignments (45%); Seminar (15%); Final Exam (40%)

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

Thirty one-hour lectures

Requisite and Incompatibility

To enrol in this course you must have completed COMP6320; and be studying Master of Computing 7705 or Master of Computing 7706.

Prescribed Texts

Marcus Hutter (2005) Universal Artificial Intelligence, EATCS, Springer.
http://www.springer.com/computer/ai/book/978-3-540-22139-5

Shane Legg (2008) Machine Super Intelligence, Lulu, PhD thesis
http://www.lulu.com/content/2043514

Assumed Knowledge

Students are assumed to have solid background knowledge in general computer science (e.g., programming experience; some basic theoretical CS), but no specialist knowledge.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and 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). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
1994-2003 $2916
2004 $2916
2005 $2916
2006 $2916
2007 $2916
2008 $2916
2009 $2916
2010 $2916
2011 $2946
2012 $2946
2013 $2946
2014 $2952
International fee paying students
Year Fee
1994-2003 $3450
2004 $3450
2005 $3450
2006 $3534
2007 $3618
2008 $3618
2009 $3618
2010 $3750
2011 $3756
2012 $3756
2013 $3756
2014 $3762
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

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.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3652 20 Jul 2015 07 Aug 2015 31 Aug 2015 30 Oct 2015 In Person N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions