Postgraduate Course: The Computational Mind MSc (PHIL11115)
|School||School of Philosophy, Psychology and Language Sciences
||College||College of Humanities and Social Science
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Not available to visiting students
|Summary||Computation appears to be our best hope for explaining how the mind works. Over the past forty years, computational models have scored numerous successes in explaining various mental phenomena. Today, computation dominates cognitive science. This course introduces the computational approach to the mind and explores some foundational questions and challenges that it faces.
Topics covered by this course include:
- What is a computation?
- If the mind is a computer, what kind is it?
- Is computation a real feature of brain, or a projection of our
- Can consciousness be explained by computation?
- Are cognitive computations in the brain or do they spill into the
The Computational Mind MSc is also shared with the undergraduate version The Computational Mind (PHIL10134).
Formative feedback includes:
- Opportunity to submit a formative essay on Learn by week 6 deadline (Monday 24th February 2014 by 12 noon)
- Weekly forum discussion posts on the set readings
- MSc reading group
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Course Delivery Information
|Academic year 2014/15, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 21,
Feedback/Feedforward Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||One essay of 2500 words.
Assignment deadline: Monday 20th April 2015 by 12 noon
Word limit: 2500 maximum
Return deadline: Tuesday 12th May 2015
|No Exam Information
| To develop further the philosophical skills, and to extend as well as deepen the philosophical knowledge, acquired in previous courses.
||Please see Learn page
|Graduate Attributes and Skills
||An ability to approach and characterise problems in a rigorous and systematic way.
|Additional Class Delivery Information
||Taught by Dr Mark Sprevak
|Course organiser||Dr Mark Sprevak
|Course secretary||Miss Lynsey Buchanan
Tel: (0131 6)51 5002
© Copyright 2014 The University of Edinburgh - 12 January 2015 4:38 am