• 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, Intelligent Systems, Artifical Intelligence
  • Academic career Undergraduate
  • Course convener
    • Dr Miguel Ramirez Javega
  • Mode of delivery In Person
  • Co-taught Course COMP6320
  • Offered in First Semester 2018
    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 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.

Learning Outcomes

After completing this course, students should be able to:
  1. Identify problems that are amenable to solution by AI methods, and which AI methods may be suited to solving a given problem.
  2. 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).
  3. Implement basic AI algorithms (e.g., standard search or constraint propagation algorithms).
  4. Design and perform 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

Twenty-two one-hour lectures, six tutorials and four 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. Incompatible with COMP6320.

Prescribed Texts

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

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. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
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
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
2318 19 Feb 2018 26 Feb 2018 31 Mar 2018 25 May 2018 In Person

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