Postgraduate Course: Credits Awarded for Dependable and Deployable Artificial Intelligence for Robotics Year 1 Report (INFR12001)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 12 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 60 |
ECTS Credits | 30 |
| Summary | This is a placeholder course designed to record marks for the courses delivered and ratified via Heriot Watt University as part of the Dependable and Deployable Artificial Intelligence for Robotics CDT.
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| Course description |
This course will provide students with the opportunity to formally define their PhD topic in Dependable and Deployable AI for Robotics. Students will work with their supervisors in a self-study capacity to perform initial stand-alone exploratory work (e.g., conducted with an industrial partner to understand a problem area) and to select the core topic of the student¿s PhD project, which should align with one or more of the themes of the CDT D2AIR programme:
- Requirements and Specifications,
- Verification and Validation of Autonomous Systems,
- Concept Development and Responsible Research and Innovation (RRI), and
- Integration and Testing Methodologies for Autonomous Systems.
This course has two main aims:
- To properly monitor progress of doctoral students in their PhD studies in Dependable and Deployable AI for Robotics by having them create a report that outlines their project topic, summary of progress, and plan for their remaining studies, and
- To have students critically analyse how their work stands in terms of sustainability, ethical issues, and Responsible Research and Innovation (RRI).
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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 2026/27, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Block 5 (Sem 2) and beyond |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
600
(
Programme Level Learning and Teaching Hours 12,
Directed Learning and Independent Learning Hours
588 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
This course is delivered and ratified by Heriot Watt University as part of a joint programme and this course instance allows for students to have their credits recorded here at the University of Edinburgh.
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| Feedback |
n/a |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Evaluate different research sources to identify project-relevant aims, objectives, and research questions in dependable and deployable AI for robotics.
- Prepare a report on a topic in AI for robotics to demonstrate initial exploratory results in the field and future project directions.
- Formulate original and creative insights into AI for robotics to identify open problem areas for future study.
- Apply research methodologies at an advanced level to explore a state-of-the-art research topic.
- Organise research ideas and results to a standard of published academic work and/or critical dialogue and peers and experts in specialisms related to AI for robotics.
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Additional Information
| Graduate Attributes and Skills |
n/a |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Mohan Sridharan
Tel:
Email: m.sridharan@ed.ac.uk |
Course secretary | Ms Lindsay Seal
Tel: (0131 6)50 5194
Email: lindsay.seal@ed.ac.uk |
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