Undergraduate Course: Topics in Cognitive Modelling (Level 10) (INFR10050)
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 |
None |
|
|
| Course description |
The aim of this course is to expose students to a variety of cognitive models and to discuss competing models for similar problems, i.e. to explore a small number of cognitive domains in depth rather than to aim for broad coverage, as in CCS. The course will focus especially on how to evaluate and compare models against each other and experimental data. Students will be expected to present and critique classic and recent research articles from the cognitive modelling literature, chosen from a list provided by the instructor. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
Students MUST NOT also be taking
Topics in Cognitive Modelling (Level 11) (INFR11086)
|
Other requirements |
For PG and final year students in Informatics and PPLS only, or by special permission of the School. This course requires familiarity with cognitive and linguistic issues and basic probability theory, as evidenced by having taken, e.g., [Computational Cognitive Science or Computational Cognitive Neuroscience or Cognitive Psychology] and [Advanced NLP or Foundations of NLP].
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | 10:00 - 10:50 | | | | | Central | Lecture | | 1-11 | | | | | 10:00 - 10:50 |
| First Class |
Week 1, Tuesday, 10:00 - 10:50, Zone: Central. Room G.02, William Robertson Building |
Summary of Intended Learning Outcomes
- Demonstrate understanding of classic and current articles on cognitive modelling by summarizing their central ideas and/or results.
- Demonstrate understanding of the relationship between computational models and psychological theories, by being able to critically assess the psychological adequacy of a given model.
- Compare and contrast the strengths and weaknesses of different models of the same behaviour.
- Synthesize information from several papers on the same topic and create a coherent presentation on that topic. |
Assessment Information
Written Examination 0
Assessed Assignments 80
Oral Presentations 20
Assessment
The assessment will be based on several components:
- Oral presentation (20%): students will (in pairs or small groups, depending on course enrolment) choose 2-3 papers on a given topic to present (topics and papers will be selected from a list provided by the instructor; students may choose a different topic if approved by the instructor).
- Brief paper responses (25%): For each class other than the one with their own presentation, students will submit a brief (1 paragraph) summary of the main content of one paper presented that day, as well as any comments or questions arising from their reading. Responses will be due on the day of each paper&©s oral presentation, so that those students who have written responses can serve as additional discussants of paper.
- Essay (55%): students will choose an area of cognitive modelling and write an essay based on one or more articles approved by the instructor. |
| 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 |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:10 am
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