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
Upon successful completion, students will have the knowledge and skills 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.
Other Information
Indicative Assessment
- Assignments (38) [LO null]
- Quizzes (12) [LO null]
- Final Exam (50) [LO null]
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Workload
22 one-hour lectures, 6 tutorials, 7 labs and self study to a total of 130 hours.
Inherent Requirements
None
Requisite and Incompatibility
Prescribed Texts
Course textbook is "Artificial Intelligence - A Modern Approach", by Stuart Russell and Peter Norvig (Prentice Hall 3rd Edition, or Pearson Edition). This book gives a comprehensive tour of AI, and only a subset of it is part of the course material. Details about which chapters are included and additional course material will be given by the lecturers for each topic.
Assumed Knowledge
Programming: knowledge and experience equivalent to completion of COMP6710
Logic: knowledge and experience equivalent to completion of PHIL2080 or COMP6262.
Fees
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:
- 2
- 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.
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 |
|---|---|
| 2024 | $4980 |
- International fee paying students
| Year | Fee |
|---|---|
| 2024 | $6360 |
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 |
|---|---|---|---|---|---|---|
| 4211 | 19 Feb 2024 | 26 Feb 2024 | 05 Apr 2024 | 24 May 2024 | In Person | View |
