Computational Foundations of Cognitive Science 1 (2009/2010)
Course Overview
This course is designed to teach students the computational and
mathematical approaches that form the quantitative foundation of
cognitive science. The mathematical content of the course includes
basic linear algebra and and an introduction to probability and
information theory. All mathematical and computational content is
supported by putting it in the context of a cognitive science
application. Computational tools, such as Matlab, will play an
important role in the presentation of the course.
The course is suitable for all first year students in Informatics, not
only for Cognitive Science students. It assumes that students have
taken A Level maths or Higher maths.
Mailing List
Announcements regarding the course will be posted to the
course mailing list. All
students taking the course are automatically subscribed to this
list. Previous postings can be accessed using the
mailing
list archive.
Software
We will use
Matlab for the lab
sessions of this course. Matlab is installed on all Dice machines; if
you don't have a Dice account, please apply for one as soon as
possible.
Octave is a free Matlab
clone. The recommended book for learning Matlab is
MATLAB
Demystified by McMahon (see the
reading
list for details).