Postgraduate Course: Principles of Neuroscience (INFR11048)
Course Outline
| School |
School of Informatics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Not available to visiting students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
40 |
| Home subject area |
Informatics |
Other subject area |
None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/ |
|
|
| Course description |
This course introduces students to the principles of experimental and computational neuroscience, by presenting different topics in neuroscience. The course provides research training to students in the 1+3 yr DTC PhD programme. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
First Year DTC neuroinformatics students only.
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Not available to visiting students (SS1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | 09:00 - 13:00 | | |
| First Class |
First class information not currently available |
Summary of Intended Learning Outcomes
1 - critically evaluate primary research literature in neuroscience
2 - evaluate the impact of neuroscience research in a computational context
3 - discuss recent developments in neuroscience and current experimental methodologies and techniques
4 - communicate and summarize scientific papers to a non-specialist audience.
5 - discuss a research topic in detail and form new hypotheses |
Assessment Information
Written Examination 0
Assessed Assignments 100
Oral Presentations 0
Assessment
The course is assessed by a critical review of about 4000 words of an experimental paper. The students should explore the context of the paper, critically evaluate its findings and conclusions, and discuss questions raised by the papers. Furthermore, students should suggest follow-up experiments and discuss the computational consequences of the work. |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Gillian Watt
Tel: (0131 6)50 5194
Email: gwatt@inf.ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:11 am
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