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- UCAS course code
- F205
- UCAS institution code
- M20
MEng Materials Science and Engineering with Textiles Technology / Course details
Year of entry: 2024
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Course unit details:
Computing & Communication
Unit code | MATS15501 |
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Credit rating | 20 |
Unit level | Level 4 |
Teaching period(s) | Semester 1 |
Offered by | Department of Materials |
Available as a free choice unit? | No |
Overview
The unit provides a basic introduction into Materials Science and Engineering, followed by the development of practical skills such as scientific report writing, computing, experimental analysis, design problems and group work.
Aims
- Introduce students to materials science as a science and engineering discipline;
- Introduce transferable computational skills required for general scientific enquiry and some specific to the materials discipline.
- Reinforce essential experimental skills for Materials Scientists.
- Develop good practice in the communication of scientific ideas via reports and presentations.
- Introduce students to the university’s systems for accessing scientific literature and referencing and develop an awareness of academic malpractice.
- Develop analytical skills to analyse and draw critical conclusions from an experiment based on logical arguments from your own observations, previous literature and a knowledge of the accuracy and precision of the methods.
- Encourage self-motivation through group work and student-led learning.
Learning outcomes
A greater depth of the learning outcomes will be covered in the following sections:
- Knowledge and understanding
- Intellectual skills
- Practical skills
- Transferable skills and personal qualities
Teaching and learning methods
Lectures, labs demonstration, tutorials, computer-based exercises.
Knowledge and understanding
- Show an awareness of breadth of materials and biomedical materials science
- Demonstrate an understanding of experimental design
- Understand simple programming concepts like variable assignment and iteration
- Demonstrate an understanding of error handling
- Knowledge of academic malpractice and ethics
Intellectual skills
- Demonstrate awareness of significance of measurement errors
- Develop the ability to plan a solution to a technical/scientific problem using computation
- Learn to assess, analyse and evaluate data
Practical skills
- Proficiency with library and information sources.
- Know how to use Jupyter notebook and Python to analyse and visualise data and carry out simple analysis
- Develop and execute simple routines using Python
Transferable skills and personal qualities
- Prepare technical reports
- Presentations
- Obtain and interpret information from differing media/sources
- Gain an awareness of team roles and responsibilities
- Conduct group and individual projects
- Present technical/scientific information effectively
Assessment methods
Method | Weight |
---|---|
Written assignment (inc essay) | 100% |
Feedback methods
Feedback given (written)
Recommended reading
Engineering materials 1: an introduction to properties, applications and design” M.F. Ashby and D.R.H. Jones, 2005.
“Materials science and engineering” W.D. Callister, 2011.
http://www.scipy-lectures.org/
https://github.com/jrjohansson/scientific-python-lectures
Study hours
Scheduled activity hours | |
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Lectures | 32 |
Independent study hours | |
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Independent study | 168 |
Teaching staff
Staff member | Role |
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Kun Yan | Unit coordinator |