AVÊÓƵ

School of Engineering and Informatics (for staff and students)

Current Issues in Cognitive Science (C8807)

Current Issues in Cognitive Science

Module C8807

Module details for 2012/13.

15 credits

FHEQ Level 6

Module Outline

Cognitive science is a fast-changing area. This module will familiarize student with topics at the leading edge of scientific and philosophical progress in this area. It will provide insights into the range of methods used to research those topics and the theories behind those methods, in a way that builds upon issues covered in previous modules in the Cognitive Science IDP. Topics may include non-conceptual content, cognitive neuroscientific investigations of the self, models of schizophrenia, the virtual reality metaphor for experience, individuating the senses and sensory augmentation, theories and architectures of emotion and affect, and folk psychology as theory, simulation and narrative practice.

Library

Rather than a set text, students will read a selection of chapters and articles, such as:
Lenggenhager, B., T. Tadi, et al. (2007). "Video ergo sum: manipulating bodily self-consciousness." Science 317(5841): 1096-1099.
Bayne, T. 2008. The Phenomenology of Agency. Philosophy Compass, 3:1-21.
Keeley, B. (2002) Making Sense of the Senses: Individuating Modalities in Humans and Other Animals

Module learning outcomes

Demonstrate a sound knowledge and background understanding of current debates and research areas in cognitive science.

To adopt and defend a position on a number of current issues in cognitive science.

Demonstrate an awareness of the different methods used by different disciplines to understand the mind, and of the ways in which these different methods might be combined to address specific problems in cognitive science.

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
DissertationT2 Week 12 100.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterSeminar2 hours111111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Prof Ron Chrisley

Assess convenor
/profiles/476

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School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, AVÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
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