Module overview
The module will present a variety of different types of geophysical, oceanographic and remote sensing data and will explore methods for processing, analysing and modelling using MATLAB.
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Analyse data using a variety of statistical and processing techniques.
- Produce a quantifiable interpretation of data.
- Manipulate datasets and present them in an informative manner.
- Implement mathematical algorithms in MATLAB programs
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- report writing.
- Programming skills;
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Data manipulation including the identification of noise and filtering
Syllabus
The module will introduce statistical analysis, curve fitting and the interpolation of data. The analysis of data in the frequency domain using the Fourier Transform will be covered with applications to filtering in 1-D and 2-D. The fundamentals of computer programming will be taught in practical sessions using MATLAB and will involve implementing the techniques covered in the lectures. The course will include optimal methods for the display of data.
Learning and Teaching
Teaching and learning methods
Formal lectures: Lectures will systematically cover the main concepts and topics by the use of PowerPoint presentations. Illustrated handout materials will complement most lectures. Where relevant, lecturers' own research experience in the appropriate fields is brought into the lecturing sessions. References to the applicable chapter of course text and/or relevant journal articles are provided to complement some of the lectures.
Practical sessions: Will exemplify the theory. Practical sessions will be computer-based exercises used to illustrate the concepts covered in the formal lectures. Computer practical sessions will use the software package MATLAB.
A wide range of support can be provided for those students who have further or specific learning and teaching needs.
Type | Hours |
---|---|
Independent Study | 90 |
Teaching | 60 |
Total study time | 150 |
Assessment
Assessment strategy
Computing Exercises 1 & 2 (2 x 30%): You will write simple MATLAB programs to analyse and plot oceanographic and geophysical datasets. Tests Learning Outcomes: 1, 2 and 4.
Mini Project (40%): You will write a substantial MATLAB program, or a number of smaller programs, to process and analyse one or more datasets. You will interpret the results of the analysis and present these in a written report including the analysis methods you have applied to the data. Tests Learning Outcomes: 1, 2, 3 and 4.
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Mini-Project | 40% |
Computing exercise | 60% |