Postgraduate Course: Cognitive Modelling (Level 11) (INFR11012)
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 11 (Postgraduate) |
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.
This course is identical to the level 10 version except for the assessed coursework and an additional learning outcome. |
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 10) (INFR10004)
|
Other requirements |
For Informatics PG and final year MInf students only, or by special permission of the School.
The courses Introduction to Cognition and Cognitive Psychology are strongly recommended, although not currently required. Introduction to Cognitive Science may be taken in parallel.
|
| Additional Costs |
None |
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).
6 - Solve cognitive modelling problems of a more open-ended nature, such as the ones set in the assessed coursework. |
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.
The assignments of the level 11 version of this course include exercises which require students to solve more open-ended cognitive modelling problems.
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 Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Gillian Watt
Tel: (0131 6)50 5194
Email: gwatt@inf.ed.ac.uk |
|
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1 September 2010 6:10 am
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