Course Outline
Organization
COMP3620/6320 is organized in 3 main topics:
1 | Search | |
2 | Knowledge Repr. and Reasoning (KRR) | |
3 | Planning |
Each topic is about 6 lectures long.
In addition to the 3 main topics, there is an introduction to AI in the first week and 2 guest lectures in the end of the semester (speakers to be defined).
The deliverables for COMP3620/6320 are:
- 3 assignments (one per topic)
- multiple mini quizzes (only the best 10 count)
- 3 long quizzes (1 per topic)
- final exam (all assessable material)
For more information regarding the deliverables, late/extension policies, final marks and grades, see the course policies
Each topic is also accompanied by 2 tutorials and 2 lab sessions. For the:
- Tutorials
- The goal is to help understand the material and prepare exam.
- We will discuss a list of questions and you have to try answering them before the tutorial.
- There is a quiz in the end of each tutorial to provide a reality check (that is, check if you are really understanding the material so far).
- Labs
- The labs are unstructured (i.e., there is no lab/question sheet) and self-guided (i.e., you need to bring questions).
- The goal is to get help from the tutors with the assignments
- You have to get started well in advance with the assignments to make the most of the opportunity
Books
Course Book: (recommended):
Artificial Intelligence, A Modern Approach S. Russel and P. Norvig, Prentice Hall, 2010
Others (available on-line for free inside ANU network):
A Concise Introduction to Models and Methods for Automated Planning B. Bonet and H. Geffner, Morgan & Claypool, 2013