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The University of Southampton
Courses

MIND6004 Feasibility Study

Module Overview

The supervisory team involved in this module will normally be the same team working with the student through the PhD project (years 2-4 of the iPhD). The project itself will be in the form of a feasibility study and will establish important groundwork for their research. The students will need to conduct a literature review, and individual impact assessment using the skills and techniques for RI established through Semesters 1 and 2. With the guidance of their supervisors, the student will identify a set of possible research questions, place these in the context of the state of the art and broader interdisciplinary context, elucidate the key challenges associated with them, and conduct some preliminary modelling/development to underpin the feasibility of the proposed approach. During the first couple of weeks of the summer project, the students (and supervisors) we take part in a one-day ideas generation workshop with Creativity@home. Teams will be supported to brainstorm activities that may add value during the research phase of the programme, including novel ways in which their research can be documented and presented as they move through to years 2-4.

Aims and Objectives

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Principles of responsible research and innovation
  • Communication and outreach strategies
  • Theoretical and application development at the research frontier of one aspect of hardware-enabled AI
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Formulate research questions in hardware-embedded AI
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Communicate the value of research contributions to a technical audience
  • Apply interdisciplinary research strategies and skills
Subject Specific Practical Skills

Having successfully completed this module you will be able to:

  • Design, test, and evaluate the performance of algorithms, hardware devices and systems

Syllabus

The topic or topics covered will be agreed by negotiation between the student and the supervisory team who are allocated to support the student with their project. All projects will be subject to approval by the MINDS CDT management team. There is no further, specific syllabus content, given the nature of the module.

Learning and Teaching

Teaching and learning methods

Project supervision and guidance.

TypeHours
Completion of assessment task386
Project supervision14
Wider reading or practice200
Total study time600

Assessment

Assessment Strategy

Each student will be supervised by two or more academic supervisors, one of whom will be required to be a member of ECS staff. Where other schools/faculties are involved in supervision, they will provide input to the assessment but the ECS staff member will be responsible for ensuring that all examination procedures are correctly followed. The Module Pass Mark is 60%. Summative assessment: 1. A practical demonstration of the student’s feasibility study – 30% 2. A 10,000-word feasibility study and impact assessment report – 70% Students will be required to present/demonstrate the results of their feasibility study to their examiners. The examiners will be the ECS member of staff involved in supervision and one other independent member of academic staff in ECS.

Summative

MethodPercentage contribution
Demonstration 30%
Technical report  (10000 words) 70%

Repeat

MethodPercentage contribution
Technical report 100%

Referral

MethodPercentage contribution
Technical report 100%

Repeat Information

Repeat type: Internal & External

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