THE UNIVERSITY of EDINBURGH
DEGREE REGULATIONS & PROGRAMMES OF STUDY 2009/2010
Computational Foundations of Cognitive Science 1 (U03859)
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.
? Normal year taken : 1st year
? Contact Teaching Time : 3 hour(s) per week for 10 weeks
First Class Information
All of the following classes
? Additional Class Information : Labs (1hr/week) and Tutorials (1hr/week) as arranged.
Summary of Intended Learning Outcomes
1 - Demonstrate knowledge of the mathematical concepts and techniques covered in this course by being able to apply them to relevant mathematical problems.
2 - Recognise the cognitive relevance of the mathematical concepts and techniques covered in this course by being able to apply them to simple modelling problems and applications in cognitive science.
3 - Describe the relationship between the mathematical formalisation of a cognitive system and its biological implementation and assess the adequacy of the formalisation.
4 - Demonstrate an understanding of usage of computational tools to apply mathematical concepts to problems in cognitive science.
5 - Analyse and evaluate scientific arguments and present the results of the evaluation in written or oral form.
Written Examination 75
Assessed Assignments 25
Oral Presentations 0
The assessed coursework consists of four assignments which cover material from the tutorials and the lab sessions. They carry equal weight, i.e., each assignment is worth 6.25% of the overall mark for the course.
Contact and Further Information
The Course Secretary should be the first point of contact for all enquiries.
Mrs Kirsten Belk
Dr Miles Osborne
Course Website : http://www.inf.ed.ac.uk/teaching/courses/
School Website : http://www.informatics.ed.ac.uk/
College Website : http://www.scieng.ed.ac.uk/