Postgraduate Course: Group Research Project (Biomedical AI) (INFR11196)
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 | 40 |
ECTS Credits | 20 |
| Summary | 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.
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Course Delivery Information
|
| Academic year 2019/20, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
400
(
Lecture Hours 2,
Seminar/Tutorial Hours 2,
Programme Level Learning and Teaching Hours 8,
Directed Learning and Independent Learning Hours
388 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
100% Coursework.«br /»
«br /»
The course assessment will consist of a written report to be marked by the supervisor, and an oral presentation to be assessed by the supervisor and an external member of staff. The dissertation will address the following:«br /»
¿ motivation: why is the problem tackled important?«br /»
¿ background: what are the necessary AI and biomedical knowledge?«br /»
¿ originality: what is different in what is proposed?«br /»
¿ implications: what is the impact of the research, both scientifically and more broadly in terms of its societal implications? |
| Feedback |
Feedback on assessed coursework will be provided within two weeks, and will include formative comments on work in relation to concepts studied in the course.
Report drafts will be reviewed by peers, the course instructor, and individual supervisors under a provided rubric.
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| No Exam Information |
Learning Outcomes
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.
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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. |
| Keywords | BAI-IP |
Contacts
| Course organiser | Prof Guido Sanguinetti
Tel: (0131 6)50 5136
Email: gsanguin@inf.ed.ac.uk |
Course secretary | Ms Lindsay Seal
Tel: (0131 6)50 2701
Email: lindsay.seal@ed.ac.uk |
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