Undergraduate Course: Biomedical Informatics Synoptic Assignment (IBMS10009)
Course Outline
| School | Deanery of Biomedical Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The Biomedical Informatics Synoptic Assignment is an opportunity for students to consolidate the skills and knowledge learnt throughout the BMI programme, and apply them to a project representative of what a biomedical informatician would encounter in their professional practice. This may include the analysis of a publicly available dataset to address a biomedical question, or the production of a piece of software for biomedical analysis. Students work on the project intensively during a 2-week ¿hackathon¿, at the end of which they have to submit both their code, and a reflective description of the underlying biomedical questions, their approach, and their outcomes. During that time, faculty contact is frequent, but unstructured, allowing students to work independently, but draw on faculty expertise as needed. |
| Course description |
Biomedical informaticians, in all kinds of roles, need to be able to quickly understand the biomedical basis of a problem, design and implement a solution, and document both their process and outcomes in a way that is accessible to co-workers and other stakeholders. This course gives you an opportunity to do this. You will be given a problem from biomedical informatics (or you can choose your own), and work on it during a focused 2-week hackathon. Faculty will be available for discussions and questions throughout the hackathon.
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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
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| Academic year 2022/23, 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:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Description of a biological problem, approach and results (40%)«br /»
Documentation of the process by which the code/analysis was developed (20%)«br /»
Reproducible code with instructions on how to run it to reproduce any results reported (40%) |
| Feedback |
There is an opportunity for feedback from peers and faculty at the daily discussion hours. In addition, students can seek more in-depth feedback from their project tutor. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Independently develop innovative computational- and informatics-based approaches to solve a biomedical problem based on real-world data.
- Employ an appropriate approach to develop code to address a biomedical problem, and accurately document this development.
- Manage a project, work independently, and communicate with relevant project stakeholders.
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Additional Information
| Graduate Attributes and Skills |
Specific biomedical informatics skills developed will depend on the nature of the project. For all students, the course develops the following core competencies for Biomedical Informatics, as identified by the American Medical Informatics Association (Kulikowski et al., J Am Med Inform Assoc 19, 2012):
Analyse problems, produce solutions, articulate the rationale, implement, evaluate, and refine, innovate, disseminate.
The course addresses the following general graduate attribute for Bioinformaticians, as identified by Welch et al. (2014) PLoS Comp Biol 10(3):
Time management, project management, independence, curiosity, self-motivation, ability to synthesize information, ability to complete projects, critical thinking, dedication, ability to communicate scientific concepts, analytical reasoning, scientific creativity. |
| Keywords | Biomedical informatics,problem solving,data analysis,coding,project management |
Contacts
| Course organiser | |
Course secretary | Miss Natasha Goldie
Tel:
Email: |
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