Postgraduate Course: Scientific Project (STEM11011)
Course Outline
| School | Edinburgh Medical School |
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 | 20 |
ECTS Credits | 10 |
| Summary | In this course students will have multiple opportunities to explore real scientific data. Multiple examples will be discussed and assessments would be drawn from a wide range of datasets including animal behaviour, immunohistochemistry, immunocyctochemistry, electrophysiological and molecular biology data. Students will analyse these datasets and gain feedback prior to assessments looking at:
1 data-handling skills
2 understanding of the background to the datasets
3 the relationship to the literature
4 how scientific experiments may be modified
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| Course description |
This course will allow students to experience and work with real scientific datasets as well as learning how they were generated and the statistical and ethical considerations required to plan/design them
This course will start with students going through scientific literature and breaking it apart before progressing to look at the individual component of a manuscript including results, methods, introduction and abstract and the discussion, with students given multiple opportunities to gain feedback on these components.
The assessments will be designed such that students can pick from the offered datasets and write a manuscript in stages
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate a critical understanding of scientific datasets and how to analyse them
- Evaluate, criticise and appraise the literature around this topic
- Demonstrate their advancement in the basic research skills vital for presenting scientific data in a manuscript
- Communicate and engage with the course¿s concepts and principles with others outwith their own field
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Additional Information
| Graduate Attributes and Skills |
1. Due to working independently students must show a high degree of autonomy and time management skills to complete this course
2. Students will need to display a significant individual drive and determination to engage with this course and remain focused
3. Students will need to not only critically assess their own data with respect to drawing conclusions but this will also allow students to gain an understanding of real-life scientific data gathering and how to analyse and present that data |
| Keywords | Neurodegenerative diseases,stem cells,translation,immunohistochemistry,data analysis |
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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