Postgraduate Course: Non-Classical Neurodegenerative Diseases, Models and Stem Cells (STEM11004)
Course Outline
| School | Deanery of Clinical Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Online Distance Learning |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course aims to expand students thinking and introduce them to diseases and models that they may not have traditionally thought of as neurodegenerative utilising 2 examples: multiple sclerosis and stroke. The impact on patients and their carers will be utilised alongside clinical and scientific scenarios to aid students learning. |
| Course description |
This core course will cover diseases that students may not have traditionally thought of as neurodegenerative utilising 2 examples: multiple sclerosis and stroke.
Importantly students will focus on the novel neurodegenerative aspects of these diseases using patients and carers as examples.
Furthermore students will learn about models (in vitro and in vivo) that can be utilised to mirror aspects of these diseases. The use of stem cells and different aspects of modelling, drug screening or treatments will be discussed
Students will be taught by lectures that will be made available online as the course progresses, introducing students to the new topics in order. Furthermore discussion boards and other online activities such as quizzes and puzzles will be used to keep students engaged and to reiterate the key learning outcomes for specific material. Therefore students would have a weekly block of material consisting of 1 hour of lectures (block material dependent) alongside ongoing discussion boards and reading students should be studying and researching independently and continuously.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2022/23, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Block 5 (sem 2) |
| Course Start Date |
08/05/2023 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% coursework |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Organise, illustrate and compare multiple neurodegenerative diseases and various models with respect to the scientific and clinical settings
- Critically compare the various models, cells and literature with an ability to appraise and evaluate their strengths and weaknesses
- Assess the roles of different scientific equipment and methodology required for disease modelling and stem cell generation
- Understand and compare the impact/consequences of these diseases and pain on patients and in the clinical setting
- Appraise their own knowledge generated throughout this course and formulate their findings in a cohesive manner
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Additional Information
| Graduate Attributes and Skills |
1. Via group work (that is both tutor and peer assessed) students will evaluate and improve their communication abilities
2. Critically review their own and others work via the assessments
3. Due to being an online course students must show autonomy, individual drive and determination to engage with the course content and develop their skills
4. Critically review and demonstrate their expanding knowledge using actual, imperfect raw scientific data (final 50% assessment) |
| Keywords | Stroke,Multiple Sclerosis,Neurodegeneration,in vivo,in vitro,stem cells |
Contacts
| Course organiser | Dr David Hampton
Tel: (0131) 242 9421
Email: David.Hampton@ed.ac.uk |
Course secretary | Miss Ana-Maria Lungu
Tel: 0131 242 7355
Email: alungu@ed.ac.uk |
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