Postgraduate Course: Small Neuroinformatics Research Project (INFR11084)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Not available to visiting students
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
|Home subject area||Informatics
||Other subject area||None
||Taught in Gaelic?||No
|Course description||This course is for students in the MSc year of the 1+3 year MSc/PhD Doctoral Training Centre programme in Neuroinformatics. This course can only be chosen by students who have sufficient Neuroinformatics background to justify exemption from studying most of the programme's 10 point specialist courses, such as NC, NIP, CNV and CCN, and is subject to concession by the School. The project can be on the same topic as the larger Neuroinformatics Dissertation, but does not have the restriction to have an experimental component.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| Only available to students registered on the MSc by Research Neuroinformatics.
This course can only be chosen by students who have sufficient Neuroinformatics background to justify exemption from the programme's specialist courses [NIP, NC, CNV and CCN].
|Additional Costs|| None
Course Delivery Information
|Delivery period: 2013/14 Semester 2, Not available to visiting students (SS1)
||Learn enabled: No
|Course Start Date
|Breakdown of Learning and Teaching activities (Further Info)
Lecture Hours 20,
Seminar/Tutorial Hours 10,
Programme Level Learning and Teaching Hours 6,
Directed Learning and Independent Learning Hours
|Breakdown of Assessment Methods (Further Info)
|No Exam Information
Summary of Intended Learning Outcomes
|1 - Demonstrate the capacity to undertake a research project in the Neuroinformatics field.
2 - Demonstrate the capacity to review the literature in an area of Neuroinformatics and demonstrate this by writing an accurate and coherent review of the area.
3 - Demonstrate the capacity to report the design, implementation, execution and analysis of the research in a short dissertation of at most 15,000 words.
|The course will be assessed by a written report of less than 15000 words, which will be independently marked by the project supervisor and an Informatics staff member. The dissertation will be marked using the standard Informatics dissertation assessment form with scoring adjusted appropriately to take account of the shortened timescale.|
||Students are expected to find their own projects in consultation with supervisors and staff. The project is supervised by either Informatics staff or an associated experimental lab; in the latter case one of the DTC staff members assists with the organisation. The results of the research are written up in a report. Students are expected to provide a short progress report at the end of the first month of work on the project.
Relevant QAA Computing Curriculum Sections: Simulation and Modelling / Artificial Intelligence
||There is no fixed reading list for the course. Students are expected to provide an accurate bibliography as part of their dissertation.
Timetabled Laboratories 0
Non-timetabled assessed assignments 300
Private Study/Other 0
|Course organiser||Dr Jim Bednar
|Course secretary||Miss Kate Weston
Tel: (0131 6)50 2692
© Copyright 2013 The University of Edinburgh - 13 January 2014 4:28 am