Postgraduate Course: Group Research Project (Biomedical AI) (INFR11196)
|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
|Summary||*** Please note this course has been replaced by a 20-credit course "Group Research Project (Biomedical AI)" (INFR11203) from 2020/21. ***
This course requires students to undertake a significant group project in biomedical artificial intelligence, with the advice of a member of staff and a PhD student with a biomedical background. The project requires the application of skills learned through other courses and requires the development and synthesis of new skills, including problem-solving, communication, and teamwork skills.
The course is a group research project where the students will work in groups of 2-3 on an application of Artificial Intelligence to a biomedical problem. All projects will have supervision from a member of staff and will be mentored by a PhD student from a biomedical collaborating group, enabling the students to work in an interdisciplinary environment and be embedded within the application.
Upon completion of the course, the students will have acquired;
- The ability to coordinate the work of a team with diverse intellectual background.
- The ability to design and implement AI systems suitable to biomedical problems.
- The ability to communicate novel scientific results orally and in writing.
Entry Requirements (not applicable to Visiting Students)
|| Students MUST have passed:
Issues in Clinical Data Modelling (INFR11195)
||Other requirements|| This course is ONLY available to students in the CDT in Biomedical Artificial Intelligence
Course Delivery Information
|Not being delivered|
On completion of this course, the student will be able to:
- Coordinate with a team of diverse experts to answer a research question in biomedical artificial intelligence.
- Plan and monitor a coordinated effort to meet milestones and deadlines within a limited timescale.
- Communicate novel research results in biomedicine and AI to an interdisciplinary scientific audience orally and in writing.
|Graduate Attributes and Skills
||Students on the course will develop skills in 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.
|Course organiser||Dr Diego Oyarzun
|Course secretary||Ms Lindsay Seal
Tel: (0131 6)50 2701