2024/25 Taught Postgraduate Module Catalogue

CAPE5000M Research Project (MSc)

60 creditsClass Size: 180

Module manager: Professor KJ Roberts
Email: k.j.roberts@leeds.ac.uk

Taught: 1 Oct to 30 Sep (12mth) View Timetable

Year running 2024/25

This module is not approved as an Elective

Module summary

Students receive training to enable them to carry out experimental/computational research work over two semesters and to report on the results of their experiments. Planning and performing experiments is supported by academic and technical staff. Critical analysis of the data obtained in these experiments is also supported by an academic supervisor of each project. However, success in this module is highly dependent on the student's engagement and initiative to drive progress in the project.

Objectives

- To provide students with training in key basic research skills, including advice on scientific writing, to enable them to drive their research project forward from the beginning of semester 2;
- To enable students to demonstrate their research ability and their initiative in driving a research project;
- To provide students with an opportunity to gain experience of planning, executing and reporting a research project of the type they will undertake in an industry/academic environment in their future career;
- To provide students with opportunities to present their research data both orally and in the form of scientific reports;
- To enable students toassess the health and safety issues associated with their research topic in general and the specific experiments they conduct in particular;
- To enable students to assess (positive and negative) ethical implications of research projects towards the general society.

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering.
2. Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.
3. Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed.
4. Select and critically evaluate technical literature and other sources of information to solve complex problems.
5. Design solutions for complex problems that evidence some originality and meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health & safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards.
6. Function effectively as an individual, and as a member or leader of a team. Evaluate effectiveness of own and team performance.
7. Communicate effectively on complex engineering matters with technical and non-technical audiences, evaluating the effectiveness of the methods used.


Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills:

Formulation of ideas and hypothesis and to develop, implement and execute plans by which to evaluate these;
a. Project management, team work and decision making;
b. Literature review - critical assessment and utilisation of information obtained from other sources;
c. Preparation of research plan, identification of milestones and targets, creation of records including progress reports;
d. Oral presentation and written report preparation.

Syllabus

Project activities include:
- Training in good health and safety practice;
- Critical literature review and background reading (to develop a clear understanding of the research topic);
- Layman’s description of project aim and objectives, including ethical aspects of the research project;
- Development of research methodology (i.e. laboratory equipment, computer software, etc), using in particular, experiment design;
- Planning for experimental and/or computational work and implementation of a research plan;
- Carrying out experimental/computational work;
- Analysis and interpretation of results;
- Oral presentation;
- Final report writing.

Methods of Assessment

We are currently refreshing our modules to make sure students have the best possible experience. Full assessment details for this module are not available before the start of the academic year, at which time details of the assessment(s) will be provided.

Assessment for this module will consist of;

Maximum 4 coursework

Teaching methods

Delivery type	Number	Length hours	Student hours
Supervision	20	1.00	20.00
Teaching/Classroom Assisting	10	1.00	10.00
Lectures	20	1.00	20.00
Practicals	10	35.00	350.00
Private study hours			200.00
Total Contact hours			400.00
Total hours (100hr per 10 credits)			600.00

Reading list

There is no reading list for this module

Last updated: 17/07/2024

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