Apply through UCAS
- UCAS course code
- F200
- UCAS institution code
- M20
Master of Engineering (MEng)
MEng Materials Science and Engineering with Metallurgy
If you think your future lies in metallurgy, then join us and study advanced alloys, which will enable you to change the world.
- Typical A-level offer: AAA including specific subjects
- Typical contextual A-level offer: AAB including specific subjects
- Refugee/care-experienced offer: ABB including specific subjects
- Typical International Baccalaureate offer: 36 points overall with 6,6,6 at HL, including specific requirements
Course unit details:
Computing & Communication
Unit code | MATS15501 |
---|---|
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 | |
---|---|
Lectures | 32 |
Independent study hours | |
---|---|
Independent study | 168 |
Teaching staff
Staff member | Role |
---|---|
Kun Yan | Unit coordinator |