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
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
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 |
Course fees
- Domestic fee paying students
| Year | Fee | Description |
|---|---|---|
| 1994-2003 | $1650 | |
| 2014 | $2952 | |
| 2013 | $2946 | |
| 2012 | $2946 | |
| 2011 | $2946 | |
| 2010 | $2916 | |
| 2009 | $2850 | |
| 2008 | $2592 | |
| 2007 | $2298 | |
| 2006 | $2190 | |
| 2005 | $2190 | |
| 2004 | $2190 |
- International fee paying students
| Year | Fee |
|---|---|
| 1994-2003 | $3234 |
| 2014 | $3762 |
| 2013 | $3756 |
| 2012 | $3756 |
| 2011 | $3756 |
| 2010 | $3750 |
| 2009 | $3426 |
| 2008 | $3426 |
| 2007 | $3426 |
| 2006 | $3426 |
| 2005 | $3288 |
| 2004 | $3234 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
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 |
