Unit name | Numerical Methods and Programming |
---|---|
Unit code | EASC20041 |
Credit points | 10 |
Level of study | I/5 |
Teaching block(s) |
Teaching Block 4 (weeks 1-24) |
Unit director | Dr. Nick Teanby |
Open unit status | Not open |
Pre-requisites |
EASC10007 Computing for Earth Scientists |
Co-requisites |
N/A |
School/department | School of Earth Sciences |
Faculty | Faculty of Science |
In this unit students learn how to extract information from numerical data using rigorous numerical and mathematical methods, which will be implemented using the Matlab programming and plotting software. This software is a powerful tool that is used extensively throughout academia and industry.
The skills learnt will be very useful for project and practical work during all degree programmes and for work in diverse careers. The programming skills acquired during this unit build upon and extend those acquired in Computing for Earth Scientists (EASC10007).
Students will develop:
The unit requires the completion of a series of independent practical exercises delivered via Blackboard. Students are supported through a series of synchronous online, but if possible face-to-face, weekly help and feedback sessions. Students who either begin or continue their studies in an online mode may be required to complete practical work, or alternative activities in person, either during the academic year 2020/21 or subsequently, in order to meet the intended learning outcomes for the unit, prepare them for subsequent units or to satisfy accreditation requirements.
100% coursework comprising analysis of a scientific dataset and creation of a multi-panel figure incorporating elements of the course ILOs. The figure(s) produced from the data analysis will be combined into a single page PDF for assessment. The Matlab code used to generate the figures will also be submitted for plagiarism checking.
Essential:
Recommended (Matlab-based):
Further reading / Reference texts (methods only):