Postgraduate Course: Introduction to Disorders Discussions and Key Methodologies (Translational Neuroscience) (NEBM11008)
Course Outline
School | Deanery of Biomedical Sciences |
College | College of Medicine and Veterinary Medicine |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 40 |
ECTS Credits | 20 |
Summary | Students will participate in twice-weekly classes, workshops and tutorials with academics from disciplines that span the life-course. They will be instructed in the range of disorders that affect
humans during the life-course and exposed to the key methodological techniques that underpin research in these areas. This course is only available to students enrolled on the
Integrated 4 Year PhD in Translational Neuroscience. |
Course description |
The Wellcome Trust 4 Year PhD in Translational Neuroscience is a training programme focused on common human brain diseases across the life course. The goal of the programme is to advance
knowledge, expertise and skills in clinical translation. As part of the PhD programme, students are required to take this course 'Disorders Discussions and Key Methodologies' I. The aim of the
course is to provide the students with a deeper understanding of clinical disorders, and the possibilities and limitations of clinical research environments and tools (including patient resources). To
this end, throughout this course they will be taught by basic and clinical researchers in the areas of:
* Disorders of development
* Disorders of adolescence/adulthood
* Disorders of old age/degeneration
To root the course in the process of the experimental approach, the students will be taught the key methodologies that underpin research into these disorders. These will be introduced at
appropriate points during the course and may be revisited in different life-course contexts. Areas covered may include, but will not be limited to:
* Epidemiology
* Medical genetics and genomics
* Experimental design and systematics reviews
* Transgenic and iPS technologies
* Imaging
* Using bio/brain banks
* Neuropathology
* Biomarkers
* Handling large data sets
* Drug development
* Statistics
* Trail design
* Ethics and policy
The course will be both tutor-led and interactive for the students.
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Course Delivery Information
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Academic year 2021/22, Not available to visiting students (SS1)
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Quota: None |
Course Start |
Full Year |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
400
(
Seminar/Tutorial Hours 180,
Programme Level Learning and Teaching Hours 8,
Directed Learning and Independent Learning Hours
212 )
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Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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Additional Information (Assessment) |
Coursework: 100%
ICA is made up of:
Three assessments (equally weighted), one for each life-course theme (development, adolescent/adulthood, old age/degeneration) e.g. a write-up in the form of a 2-page policy summary.
In order to pass the course, students must pass all three assessments. |
Feedback |
Formative feedback will be provided. Appropriate supervisors/tutors will provide feedback on a draft of each assessment before it is submitted for marking. |
No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Appreciate the variety of neuroscience clinical disorders
- Understand the key methodologies associated with fundamental
- Understand the issues related to the translation of fundamental
- Acquire skills in integrating diverse information
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Additional Information
Graduate Attributes and Skills |
* Generic cognitive skills (e.g. evaluation, critical analysis);
* Communication, numeracy and IT skills; and
* Autonomy, accountability and working with others.
http://scqf.org.uk/the-framework/scqf-levels/ |
Keywords | Translation,neuroscience,life-course,disorders |
Contacts
Course organiser | Prof David Price
Tel: (0131 6)50 3262
Email: David.Price@ed.ac.uk |
Course secretary | Ms Jenn Liedtke
Tel: (0131 6)50 3160
Email: Jennifer.Liedtke@ed.ac.uk |
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