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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2005/2006
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Home : College of Science and Engineering : School of Informatics (Schedule O) : Cognitive Science

Neural Information Processing (P01489)

? Credit Points : 10  ? SCQF Level : 11  ? Acronym : INF-P-NIP

This course builds one recent insights that in many cases the computation done by the nervous system can be described in machine learning terms and using information theory. This course focusses on the more mathematical models of the brain and sensory processing. The solutions found by the nervous system might transfer to engineering applications such as compression, parallel processing, and dealing with complex data. The LFD or PMR course is a good primer for this course.

Entry Requirements

? Pre-requisites : A good grounding in mathematics, particularly with regard to probability and statistics, vectors and matrices.

Subject Areas

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

First Class Information

Date Start End Room Area Additional Information
09/01/2006 15:00 16:00 Forrest Hill, Room A9/11

All of the following classes

Type Day Start End Area
Lecture Monday 15:00 15:50 Central
Lecture Thursday 15:00 15:50 Central

Summary of Intended Learning Outcomes

It is anticipated that students who complete this course will be able to:
- Demonstrate knowledge of recent models of neural information processing.
- Critically evaluate mathematical models of information processing.
- To implement models in Matlab.

Assessment Information

Written Examination 75%
Assessed Assignments 25%

Exam times

Diet Diet Month Paper Code Paper Name Length
1ST May - - 1 hour(s) 45 minutes

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Mr Neil McGillivray
Tel : (0131 6)50 2701
Email : Neil.McGillivray@ed.ac.uk

Course Organiser

Dr Douglas Armstrong
Tel : (0131 6)50 4492
Email : Douglas.Armstrong@ed.ac.uk

Course Website : http://www.inf.ed.ac.uk/teaching/courses/

School Website : http://www.informatics.ed.ac.uk/

College Website : http://www.scieng.ed.ac.uk/

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