Skip Navigation | ANU Home | Search ANU | Search FEIT | Feedback

Lecture Notes

The lecture notes will be made available as the semester progresses.
IMPORTANT:
Voice records will NOT be available for all lectures. Make sure you attend all lectures in class.

Notes	Lecturer
Lecture 0 - Course organization To be squeezed at the beginning of Lecture 1.	Adi Botea
Lectures 1 to 3 - Introduction and Intelligent Agents Slides Lecture 1 voice record -- FROM 2008; IGNORE OUT OF DATE ADMINISTRATIVE INFO Lecture 3 voice record -- FROM 2008	Marcus Hutter
Lectures 4 to 9 - Search Handouts Lecture 4 (Search 1) voice record Lecture 5 (Search 2) voice record Lecture 6 (Search 3) voice record Lecture 7 (Search 4) voice record Lecture 8 (Search 5) voice record Lecture 9 (Search 6) voice record	Phil Kilby
Lectures 10 to 15 - Knowledge Representation and Reasoning Handouts - first part Handouts - 2nd part Handouts - 3rd part Handouts - 4th part Lecture 10 (KRR 1) voice record Lecture 11 (KRR 2) voice record Lecture 12 (KRR 3) voice record Lecture 13 (KRR 4) voice record Lecture 14 (KRR 5) voice record Lecture 15 (KRR 6) voice record	Scott Sanner
Lectures 16 to 21 - Planning Slides: lectures 16 to 20 Slides: lecture21 Lecture 16 (Planning 1) voice record Lecture 17 (Planning 2) voice record Lecture 18 (Planning 3) voice record Lecture 19 (Planning 4) voice record Lecture 20 (Planning 5) voice record Lecture 21 (Planning 6) voice record	Adi Botea
Lectures 22 to 27 - Machine Learning Lecture 22 (Learning 1) Lecture 23 (Learning 2) Lecture 24 (Learning 3) Lecture 25 (Learning 4) Lecture 26 (Learning 5) Lecture 27 (Learning 6) Lecture 22 (Learning 1) voice record Lecture 23 (Learning 2) voice record Lecture 24 (Learning 3) voice record Lecture 25 (Learning 4) voice record Lecture 27 (Learning 6) voice record	Kee Siong Ng
Lectures 28 to 30 - Other AI Areas <Lecture 28 (Vision) Lecture 29 (Robotics) Lecture 30 (Natural Language Processing)	Patrik Haslum