THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2020/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Group Research Project (Biomedical AI) (INFR11196)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits40 ECTS Credits20
Summary*** Please note this course has been replaced by a 20-credit course "Group Research Project (Biomedical AI)" (INFR11203) from 2020/21.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.
Course description 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)
Pre-requisites Students MUST have passed: Issues in Clinical Data Modelling (INFR11195)
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:
  1. Coordinate with a team of diverse experts to answer a research question in biomedical artificial intelligence.
  2. Plan and monitor a coordinated effort to meet milestones and deadlines within a limited timescale.
  3. Communicate novel research results in biomedicine and AI to an interdisciplinary scientific audience orally and in writing.
Reading List
None
Additional Information
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.
KeywordsBAI-IP
Contacts
Course organiserDr Diego Oyarzun
Tel:
Email: D.Oyarzun@ed.ac.uk
Course secretaryMs Lindsay Seal
Tel: (0131 6)50 2701
Email: lindsay.seal@ed.ac.uk
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