Postgraduate Course: Issues in Clinical Data Modelling (INFR11195)
This course will be closed from 31 July 2024
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course provides students on the UKRI CDT in Biomedical Artificial Intelligence with the opportunity to learn the challenges of clinical data modelling directly through guest lectures by leading clinicians who collect and analyse complex biomedical datasets. |
| Course description |
The course is a primer in clinical data modelling, informing students upon the challenges involved in a variety of clinical contexts and in depth understanding of the data collection aspects in one particular area.
Upon completion of the course, the students will have acquired:
- The ability to critically assess and discuss the challenges associated with clinical data modelling across a variety of contexts and diseases;
- Familiarity with the data analysis techniques currently being employed in clinical research.
- A broad understanding of the scale and complexity of datasets across a range of subject domains.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | This course is ONLY available to students in the CDT in Biomedical Artificial Intelligence |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- critically assess the challenges associated with clinical data modelling across a variety of contexts and diseases, in particular with respect to noise in the data, patient stratification and regulatory and ethical issues;
- present and discuss the data acquisition protocols in one area of biomedicine to an interdisciplinary audience.
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Additional Information
| Graduate Attributes and Skills |
Students on the course will develop skills in using a range of specialised skills, techniques, practices and/or materials that are at the forefront of, or informed by forefront developments; In applying a range of standard and specialised research and/or equivalent instruments and techniques of enquiry; planning and executing a significant project of research, investigation or demonstrating originality and/or creativity, including in practices; exercise substantial autonomy and initiative in professional and equivalent activities. |
| Keywords | CDT-BAI,ICDM |
Contacts
| Course organiser | Dr Andrea Weisse
Tel: (0131 6)51 1211
Email: |
Course secretary | Ms Lindsay Seal
Tel: (0131 6)50 5194
Email: |
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