• 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
  • Course convener
    • Dr Sylvie Thiebaux
  • Mode of delivery In Person
  • Offered in First Semester 2014
    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.

Learning Outcomes

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 carry out an empirical evaluation of different algorithms on a problem formalisation, and state the conclusions that the evaluation supports.


Other Information

http://cs.anu.edu.au/student/comp3620/

Indicative Assessment

Assignments (50%); Final Exam (50%)

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 three one-hour lectures, four tutorials and six laboratory sessions.

Requisite and Incompatibility

To enrol in this course you must have completed COMP1100 or COMP1130 and COMP1110 or COMP1140 or COMP1510 and have completed COMP2620 or COMP2600

Prescribed Texts

Stuart Russell and Peter Norvig (2010) Artificial Intelligence. A Modern Approach (3rd edition).

Majors

Specialisations

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 $1650
2004 $2190
2005 $2190
2006 $2190
2007 $2298
2008 $2592
2009 $2850
2010 $2916
2011 $2946
2012 $2946
2013 $2946
2014 $2952
International fee paying students
Year Fee
1994-2003 $3234
2004 $3234
2005 $3288
2006 $3426
2007 $3426
2008 $3426
2009 $3426
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.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
2917 17 Feb 2014 07 Mar 2014 31 Mar 2014 30 May 2014 In Person N/A

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