| Unit name | Scientific Computing |
|---|---|
| Unit code | EMAT30008 |
| Credit points | 10 |
| Level of study | H/6 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Hennessy |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
EMAT20200 Engineering Mathematics 2, and EMAT20920 Numerical Methods with MATLAB, or equivalent |
| Units you must take alongside this one (co-requisite units) |
None |
| Units you may not take alongside this one | |
| School/department | School of Engineering Mathematics and Technology |
| Faculty | Faculty of Engineering |
This unit will bring together previous experience of programming, numerical techniques and mathematical methods, with the aim of enabling students to put scientific programming into practice in a project/research setting. The approach is practical rather than theoretical and will cover the techniques and skills needed to do real scientific programming for a range of commonly occurring problem types.
The numerical techniques to be covered will include appropriate choice of numerical method for different classes of ODEs (e.g., stiff problems, and boundary value problems), together with the most widely-used methods to solve PDEs (e.g., finite difference, finite element, and spectral methods). It will be grounded throughout in the fundamentals of software engineering, enabling students to develop efficient programming techniques (e.g., version control, profiling and optimising code), as well as proper use of 3rd party libraries/applications, and hence successfully manage large-scale complex projects.
Upon successful completion of the course, students will be able to
1) Implement advanced numerical methods for the solution of real-world problems
2) Select, assess, modify and adapt numerical algorithms, guided by an awareness of their mathematical foundations
3) Apply appropriate computational techniques to solve ODE problems
4) Apply appropriate computational techniques to solve PDE problems
5) Create production-standard code, based on sound software engineering principles.
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, practical activities supported by drop-in sessions or online computer laboratories and problem sheets.
1 Summative Assessment, 100% - Coursework. This will assess all ILOs.
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMAT30008).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
