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for a past academic year. Please see the current academic year for up to date information.
| Unit name |
Mathematics and Data Modelling 1 |
| Unit code |
EMAT10008 |
| Credit points |
20 |
| Level of study |
C/4
|
| Teaching block(s) |
Teaching Block 4 (weeks 1-24)
|
| Unit director |
Dr. Simini |
| Open unit status |
Not open |
| Pre-requisites |
None
|
| Co-requisites |
None
|
| School/department |
School of Engineering Mathematics and Technology |
| Faculty |
Faculty of Engineering |
Description including Unit Aims
This unit gives students the opportunity to learn some of the skills of modelling in the real world, using mathematics. By 'doing' rather than 'listening' and working in groups, individual students develop skills that translate the experience of learning and practising mathematics, into communicating the results of their finding to a wider, and possibly lay, clientele.
Aims: To introduce the principles of mathematical modelling and the design process, through lectures and small group projects.
Intended Learning Outcomes
On successful completion of this unit students will have:
- acquired basic skills in mathematical modelling
- begun to appreciate the mathematical modelling cycle of model construction, analysis, comparison with experimental data, and the application of results to the original engineering problems
- worked in small groups to solve a practical mathematical modelling problem
- developed their oral and written communication skills
Teaching Information
There will be a mixture of lectures, seminars, demonstration exercises and tutorials:
20 Lectures, 8 Seminars, 12 tutorials and 8 demonstration sessions.
Assessment Information
100% coursework; combination of written report on group modelling project (70%,) group oral presentation (25%), and group written report review (5%).
There will be a short report on the students interactions with their industrial mentor. This is pass/fail assessment and must be passed in order to pass the unit.
Group modelling project will assess the following learning outcomes:
- basic skills in mathematical modelling
- appreciation of the mathematical modelling cycle
- written communication skills
Oral presentation will assess the following learning outcomes:
- oral communication skills
Group written report review will assess the following learning outcomes:
•ability to critically evaluate strong and weak points of a scientific and technical report
•provide useful feedback
Students individual contributions will be measured in a number of different ways:
- Through weekly meetings with an academic mentor during the course of the unit; in addition to providing support, guidance and feedback on the development of the project, individual contributions will be discussed
- Through students own records of their group work, e.g. emails & logbooks, submitted at the completion of the project
- Through contribution and discussion at the oral presentation session (attended by student groups as well as staff).
- All students will be required to complete an individual (confidential) self-evaluation following completion of the project, reflecting critically on the entire process, including their own individual contribution, and that of their peers
- In cases where there are particular problems, academic staff will discuss the issues with the entire group and/or individually as appropriate
Reading and References
- Berry, J. & Houston, K. Mathematical Modelling (Edward Arnold, 1995)
- Giordano, F. First Course in Mathematical Modeling (Brooks/Cole, 2008)
- Edwards, D., Hamson, M. & Towers, D. Guide to Mathematical Modelling (Palgrave Macmillan, 2001)
