Postgraduate Course: Credits Awarded for Synthesis of Dependable and Deployable Artificial Intelligence for Robotics (INFR12002)
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. |
| Course description |
This course will provide students with the opportunity to define and study in detail some of the fundamentals that underpin research in Dependable and Deployable AI for Robotics and topics that are likely to provide the foundations for the student's PhD project topic. This is a directed self-study course that will enable students to explore in depth the four core themes of CDT-D2AIR and their relationship to the research the student will undertake in 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 help students develop their research skills by providing research skills training in several key areas (library skills, technical writing, working with data and ethics, presentation skills, research dissemination, and outreach) through traditional lectures, invited speakers, and short workshops.
- To provide students with an opportunity to apply these skills through the writing of a research report that demonstrates their learning with respect to the programme themes, and by presenting the results of the student's independent studies to their cohort and supervisors in a short Masterclass.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2026/27, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Full Year |
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 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| 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. |
| Feedback |
n/a |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Evaluate the quality of information from different research and teaching sources to identify project-relevant developments in dependable and deployable AI for robotics.
- Prepare a literature review on a topic in AI for robotics to critically evaluate current research and technical developments in the field.
- Formulate a research plan to independently explore a PhD topic in dependable and deployable AI for robotics.
- Apply research methodologies at an advanced level to explore a state-of-the-art research topic.
- Manage time and workloads effectively to complete course assessments.
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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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