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.

Upon completion of this course, the students will:

1. have a global picture of artificial intelligence and some of its main subareas;
2. have knowledge about actual problems, approaches, and algorithms in areas such as agents, search, knowledge representation and reasoning, planning, and learning;
3. have experience with programming solving techniques in some of the five areas listed above;
4. have overview knowledge in areas such as vision, robotics and natural language processing.

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

Thirty one-hour lectures, six tutorials and six laboratory sessions.

COMP2100 or COMP2500; and COMP2600.

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

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