Artificial Intelligence

6 unitsSem 1In Person

School of Computing · ANU College of Systems and Society

About this course

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

1Identify problems that are amenable to solution by AI methods, and which AI methods may be suited to solving a given problem.
2Formalise 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).
3Implement basic AI algorithms (e.g., standard search or constraint propagation algorithms).
4Design and perform an empirical evaluation of different algorithms on a problem formalisation, and state the conclusions that the evaluation supports.

Assessment

Weights and hurdle requirements come straight from the imported ANU record.

Assignments

Learning outcomes 1, 2, 3, 4

50%

Final Exam

Learning outcomes 1, 2, 3

50%

Study expectations

Study information

Lectures, tutorials and laboratory sessions, plus self study for a total of 130 hours. Other Information Course Webpage

Texts and reading

Artificial Intelligence - A Modern Approach”, by Stuart Russell and Peter Norvig (Prentice Hall 4th Edition, or Pearson Edition)

Related courses

COMP6320

Related ANU course

Co taught

Course essentials

Academic year: 2026
Course subject: COMP
Subject name: Computer Science
Academic career: UGRD
School: School of Computing
College: ANU College of Systems and Society
Convener: Prof Jochen Renz
Delivery: In Person
Unit value: 6 units
EFTSL: 0.125
Last source update: Not listed

View the ANU course source

Fees

Domestic fee paying students: Domestic · 2026 · Course basis; $5,520
International fee paying students: International · 2026 · Course basis; $7,020
Student Contribution Band Code 2: Commonwealth supported · 2026; ANU contribution-band code 2

Areas and attributes

Areas of interest

Computer ScienceIntelligent SystemsArtifical Intelligence