![]() |
THE UNIVERSITY of EDINBURGHDEGREE REGULATIONS & PROGRAMMES OF STUDY 2005/2006
|
|
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 AreasHome subject areaDelivery 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
All of the following classes
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
Contact and Further InformationThe Course Secretary should be the first point of contact for all enquiries. Course Secretary Mr Neil McGillivray Course Organiser Dr Douglas Armstrong 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/ |
|