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Degree Regulations & Programmes of Study 2010/2011
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DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: Cognitive Modelling (Level 10) (INFR10004)

Course Outline
School School of Informatics College College of Science and Engineering
Course type Standard Availability Available to all students
Credit level (Normal year taken) SCQF Level 10 (Year 4 Undergraduate) Credits 10
Home subject area Informatics Other subject area None
Course website http://www.inf.ed.ac.uk/teaching/courses/cm
Course description This course aims to introduce students to the basic concepts and methodology underlying cognitive modelling. The fundamental issues of using a computational approach to the exploration and modelling of cognition are considered. In particular, we explore the way that computational models relate to, are tested against, and illuminate psychological theories and data.

The course will introduce both symbolic and subsymbolic modelling methodologies. The symbolic part will focus on cognitive architectures, while the subsymbolic part will introduce probabilistic models.
Entry Requirements
Pre-requisites It is RECOMMENDED that students have passed Introduction to Cognitive Science (INFR09022)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Cognitive Modelling (Level 11) (INFR11012)
Other requirements Successful completion of Year 3 of an Informatics Single or Combined Honours Degree, or equivalent by permission of the School.
Additional Costs None
Information for Visiting Students
Pre-requisites None
Prospectus website http://www.ed.ac.uk/studying/visiting-exchange/courses
Course Delivery Information
Summary of Intended Learning Outcomes
1 - Demonstrate knowledge of the basic concepts and methodology of cognitive modelling, by being able to design simple cognitive models for sample problems.
2 - Demonstrate understanding of the relationship between computational models and psychological theories, by being able to critically assess the psychological adequacy of a given model.
3 - Qualitatively and quantitatively evaluate cognitive models using a range of techniques, when given a model and a set of experimental data that it is supposed to account for.
4 - Demonstrate an awareness of the most important approaches to cognitive modelling, by being able to use these approaches to formalise theories that are couched in potentially vague and ambiguous terms (e.g., natural language).
5 - Use existing modelling tools (e.g., Cogent) to design and test computer implementations of cognitive models (both existing models from the literature and simple models they have designed themselves).
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0

Assessment
The assignments will require students to develop or modify cognitive models using the Cogent cognitive modelling package and software for probabilistic modelling.

If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year.
Please see Visiting Student Prospectus website for Visiting Student Assessment information
Special Arrangements
Not entered
Contacts
Course organiser Dr Amos Storkey
Tel: (0131 6)51 1208
Email: A.Storkey@ed.ac.uk
Course secretary Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk
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copyright 2010 The University of Edinburgh - 1 September 2010 6:10 am