Computational Cognitive Science (2017-2018)
NOTE: The CCS web pages are still being updated for 2017/2018.
This course aims to introduce students to the basic concepts and
methods needed to implement and analyse computational models of
cognition. It considers the fundamental issues of using a
computational approach to explore and model cognition. In particular,
we explore the way that computational models relate to, are tested
against, and illuminate psychological theories and data.
The course will mainly focus on probabilistic modelling methodologies,
and provide practical experience with implementing models. The main
modeling domains covered are memory, vision, and language. Matlab will
be used as the modeling language throughout the course.
Announcements regarding the course will be posted to the course
students taking the course are automatically subscribed to this
list. Previous postings can be accessed using the
ccs-students mailing list archive
Virtual Learning Environment
The course will use Blackboard
for various activities.
If you are enrolled in the course, you will automatically have
access to the Learn page of the course. Materials that are not Learn
are on this web site.
The course will use Matlab
tutorials and assignments. Matlab is installed on all DICE machines;
if you don't have a DICE account, please apply for one as soon as
is a free Matlab
clone. The recommended book for learning Matlab is MATLAB
by McMahon (see the reading
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