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The Australian National University
Faculty of Engineering and Information Technology (FEIT)
Department of Computer Science
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Artificial Intelligence COMP3620

Schedule

For the times and locations of lectures, labs and tutorials, check the 2009 Class Timetable.

You should be able to register for a tutorial with the http://cs.anu.edu.au/streams/ system.
Note you only need to register for the lab and you will be placed in the tutorial at the same time slot on odd weeks.

Semester Timetable

Changes can occur with no further notification.
Week
Lecture
Tutorial
Laboratory
8
  1. Introduction - Adi Botea and Marcus Hutter (23/02/2009)
  2. Intelligent Agents - Marcus Hutter (24/02/2009)
  3. Intelligent Agents - Marcus Hutter (25/02/2009)
----- -----
9
  1. Search 1 - Philip Kilby (02/03/2009)
  2. Search 2 - Philip Kilby (03/03/2009)
  3. Search 3 - Philip Kilby (04/03/2009)
Tutorial 0: Introduction and Agents
Tutor: Amir Hadad
-----
10
  1. Public Holiday (09/03/2009)
  2. Search 4 - Philip Kilby (10/03/2009)
  3. Search 5 - Philip Kilby (11/03/2009)
----- Laboratory 1: Search
Tutor: Jimmy Thomson
11
  1. Search 6 - Philip Kilby (16/03/2009)
  2. Knowledge Representation and Reasoning (KRR) 1 - Scott Sanner (17/03/2009)
  3. KRR 2 - Scott Sanner (18/03/2009)
Tutorial 1: Search
Tutor: Jimmy Thomson
-----
12
  1. KRR 3 - Scott Sanner (23/03/2009)
  2. KRR 4 - Scott Sanner (24/03/2009)
  3. KRR 5 - Scott Sanner (25/03/2009)
----- Laboratory 2: KRR
Tutor: Amir Hadad
13
  1. KRR 6 - Scott Sanner (30/03/2009)
  2. Planning 1 - Adi Botea (31/03/2009)
  3. Planning 2 - Adi Botea (01/04/2009)
Tutorial 2: KRR
Tutor: Amir Hadad
-----
14
  1. Planning 3 - Adi Botea (06/04/2009)
  2. Planning 4 - Adi Botea (07/04/2009)
  3. Planning 5 - Adi Botea (08/04/2009)
----- Laboratory 3: Planning
Tutor: Jimmy Thomson
Mid-semester break
17
  1. Public Holiday (27/04/2009)
  2. Planning 6 - Adi Botea (28/04/2009)
  3. Learning 1 - Kee Siong Ng (29/04/2009)
Tutorial 3: Planning
Tutor: Jimmy Thomson
-----
18
  1. Learning 2 - Kee Siong Ng (04/05/2009)
  2. Learning 3 - Kee Siong Ng (05/05/2009)
  3. Learning 4 - Kee Siong Ng (06/05/2009)
----- Laboratory 4: Learning
Tutor: Amir Hadad
19
  1. Learning 5 - Kee Siong Ng (11/05/2009)
  2. Learning 6 - Kee Siong Ng (12/05/2009)
  3. Overview of Other AI Areas - Patrik Haslum (13/05/2009)
Tutorial 4: Learning
Tutor: Amir Hadad
-----
20
  1. Overview of Other AI Areas - Patrik Haslum (18/05/2009)
  2. Overview of Other AI Areas - Patrik Haslum (19/05/2009)
  3. No lecture
----- -----
21
  1. No lecture
  2. No lecture
  3. No lecture
----- -----
22
  1. No lecture
  2. No lecture
  3. No lecture
----- -----