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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 2021/22.

15 credits

FHEQ Level 6

Module Outline

This module will familiarize students with topics at the leading edge of scientific and philosophical progress in cognitive science. 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 on the cognitive science pathway. Topics vary from year to year, and are sometimes chosen by the students, but may include cognitive neuroscientific investigations of the self, models of schizophrenia, integrated information theories of consciousness, the explanatory power of mirror neurons, 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

Critically discuss current debates and research areas in cognitive science.

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

Evaluate 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.
EssayA2 Week 1 70.00%
PresentationT2 Week 11 (10 minutes)30.00%
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 hours11111111111

How to read the week pattern

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

Dr Simon Bowes

Assess convenor
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School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÅÝܽ¶ÌÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
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