Postgraduate Course: Neuroimaging: Common Image Processing Techniques 1 (NEME11006)
|Deanery of Clinical Sciences
|College of Medicine and Veterinary Medicine
|Credit level (Normal year taken)
|SCQF Level 11 (Postgraduate)
|Not available to visiting students
|This core course aims to introduce the student to the major forms of image analysis commonly used in neuroimaging research. This ranges from the 'bread and butter' techniques like qualitative and quantitative assessment of whole brain and subregional brain volumes, simple and complex ways of measuring lesion size, region of interst measurements to assess tissue parameters as might be derived from diffusion-weighted or perfusion images, and simple tractography techniques.
Entry Requirements (not applicable to Visiting Students)
Course Delivery Information
|Academic year 2023/24, Available to all students (SV1)
|Course Start Date
|Learning and Teaching activities (Further Info)
Lecture Hours 40,
Online Activities 40,
Formative Assessment Hours 4,
Summative Assessment Hours 4,
Revision Session Hours 40,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
|Assessment will consist of continuous, in-course assessments and a final assessment. In-course assessment will be composed of a mixture of multiple choice-type questions, short essays, practical tasks, contributions to discussions and group learning activities - and will be delivered in time with individual modules making up the course. Final assessment will normally include a combination of multiple choice-type questions and short essays and it will take place at the end of the course period.
A number of bespoke technologies and the University's online assessment tool QuestionMark Perception will be used to deliver the more interactive and visually driven elements of assessment.
The principle of constructive alignment will underpin all assessments. This will ensure the assessment tasks are aligned with the specific course objectives.
|No Exam Information
| The programme aims to contribute to improved understanding of the use of neuroimaging in research by users from a wide range of different disciplines, including understanding the principals of study design to avoid bias, practicalities and limitations of different imaging techniques, and image analysis processes. This will improve the design, quality and interpretation of neuroimaging as used in research and help advance knowledge faster.
|Graduate Attributes and Skills
|All courses will be delivered taught by distance learning, using Blackboard Learn as the delivery platform. Registered students are provided with a user name and password that allows them to access a protected course web site. The website houses a number of interactive tutorials that allow students to work with information in a self-paced manner to test their understanding of important concepts and principles. Online delivery will be supported through online discussions with peers and tutors. The website provides a variety of educational material and supports a range of approaches by the students to the material provided.
Study guides with lecture notes are available, either to be read on screen or printed by the students for private use. Selected readings from relevant journals and textbooks are also provided.
|Additional Class Delivery Information
|Course will be delivered by distance learning, using Blackboard Learn as the delivery platform. Students will be expected to spend 15-20 hour a week studying, including accessing online materials and tests and participating in online discussions.
|Prof Andrew Farrall
Tel: (0131) 537 3910
|Dr Charilaos Alexakis
Tel: 0131 537 3125