Course handbook for present students. Don't be scared by the challenging scope: look at the lecture/seminar topics. You are carefully lead through many interesting things, supported all the way.
It's a joint effort with Biology. It's listed in their course directory.
Exploring the areas in which biology and Artificial Intelligence (AI) researchers are touching on similar questions, through case-studies, reading, analysis and debate. Looking for principles of intelligence that apply across species, as well as understanding the differences in their capabilities, and the behavioural strategies and brain structures that underlie them. Hence the course is interesting whether or not you are bothered about AI!
Yes, but for the coming year we're changing it to be a normal 15-credit option like the others.
The lecturers know their audience. This is a great chance to get a knowledge of the parts of biology most relevant to AI, from lecturers who really know their stuff.
The overlap with previous courses only amounts to a couple of lectures, and even then we aim to give new examples and perspectives.
The lecturers know their audience: we assume no prior AI knowledge, and concentrate on general principles rather than technical details. This is a good chance to see how your knowledge and skills can contribute to debates in AI, and how attempting to design intelligent machines can give new tools and perspectives to biological inquiry. The course should be interesting even if you don't care much about AI.
When it comes to assessed work, including the exam, you are given a lot of choice. So if you find some topic difficult, you could choose other questions.
So that each topic is covered by an expert - we consider a broad range of material. Together, the lecturers offer a very rich resource for you. The organiser is Paul Graham in BES, and from Informatics Adrian Thompson can also answer queries.
Content from 2008, but 2010 will be similar:
Adrian Thompson 01/03/2010 22:30