Postgraduate Course: Principles of Neuroscience (INFR11048)
|School||School of Informatics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Not available to visiting students
|Summary||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.
During the course the students are exposed to active research area and methodologies in neuroscience. Every week a different research area is discussed. Examples are brain imaging, neuropharmacology, synaptic plasticity, and computational modeling . Each of the ten weeks consist of a combination of lectures by staff, tutorials, reading of papers in the particular area, and self-study. Each week is concluded by presentations in which groups of students present what they found in the literature, discuss implication, future research suggested by the papers, and place the subject in a wider context.
Relevant QAA Computing Curriculum Sections: Not yet available
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| First Year DTC neuroinformatics students only.
Course Delivery Information
|Not being delivered|
| 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
|"Neuroscience", by Purves, Augustine, Fitzpatrick, Hall, LaMantia, McNamara, and White. ISBN: 0878936971 (Copies will be provided to DTC students by the DTC.)|
|Course organiser||Dr James Bednar
|Course secretary||Ms Katey Lee
Tel: (0131 6)50 2701