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CM50306: Interdisciplinary research preparation

[Page last updated: 27 October 2020]

Follow this link for further information on academic years Academic Year: 2020/1
Further information on owning departmentsOwning Department/School: Department of Computer Science
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Project Proposal (CW 70%)
  • Presentations (CW 30%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Description: Aims:
The aim of this unit is to give students the skills to conceive, design and plan an interdisciplinary research project.

Learning Outcomes:
After taking this unit a student should be able to:
* Critically analyse and review related work in a chosen subject area;
* Undertake and document an initial literature review in a chosen area;
* Develop a feasible and appropriate project proposal for the Interdisciplinary Thesis Formulation Report;
* Understand how to structure a thesis formulation report;
* Present research ideas to a broad audience;
* Understand the basic concepts of:
- Responsible innovation;
- Public engagement;
- Data management and data stewardship;
- Ethics in the context of research.

Skills:
Undertaking a primary research literature search (T/F/A);
* Assessing the relevance of research publications (T/A);
* Judging the quality of secondary research resources, such as web resources (T/A);
* Critical analysis of research papers (T/F/A);
* Writing a review of a research area (T/F/A);
* Preparing a research proposal (T/F/A);
* Presenting to different audiences (T/A);
* Effective communication (T/A);
* Creating a data plan (T/A);
* Reflection on research impacts (T/A);
* Completing an ethics check list (T/A)

Content:
In this unit students will learn how to write scientific reports, papers and dissertations. They will learn how to find relevant papers and how to judge the quality of them. They will receive training in responsible innovation, data management and data stewardship, and public engagement. They will use this unit to decide on the topic for their Interdisciplinary Thesis Formulation Report or MSc dissertation. They will prepare a project proposal with a high level conceptual overview, initial literature survey, data management plan and ethics check list. They will present their research proposal in a number of ways to different audiences.
Further information on programme availabilityProgramme availability:

CM50306 is Compulsory on the following programmes:

Department of Computer Science
  • RSCM-AFM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM51 : MRes Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM52 : MSc Accountable, Responsible and Transparent Artificial Intelligence

Notes:

  • This unit catalogue is applicable for the 2020/21 academic year only. Students continuing their studies into 2021/22 and beyond should not assume that this unit will be available in future years in the format displayed here for 2020/21.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.