Module Details |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Geophysical Data Modelling | ||
Code | ENVS386 | ||
Coordinator |
Professor RT Holme Earth, Ocean and Ecological Sciences R.T.Holme@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2023-24 | Level 6 FHEQ | First Semester | 15 |
Aims |
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Ability to create geophysical models from data. Practical experience in inversion of mathematically linear problems, with knowledge of how to approach more general nonlinear problems. Understanding of the limitations of such models, and how they should be interpreted, with particular reference to model non-uniqueness and instability. Optimisation theory, and its application to interpretation of geophysical models. Time series analysis with non-Fourier methods. Understanding of basic statistics, confidence. |
Learning Outcomes |
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(LO1) Knowledge and understanding of mathematical fundamentals of data modelling, including eigenanalysis, statistical foundations and implications of model existence and nonuniqueness for interpretation. |
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(LO2) Interpretation of statistical results and Geophysical modelling of real data sets |
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(LO3) Ability to invert a large data set to give a geophysical model |
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(LO4) Programming skills, in particular the ability to work in a unix/linux environment with shell programming |
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(S1) Problem solving skills |
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(S2) Numeracy |
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(S3) Communication skills |
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(S4) IT skills |
Syllabus |
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One. Optimisation, including Lagrange multipliers |
Teaching and Learning Strategies |
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Teaching Method 1 - Lecture Teaching method 2 - Pre-recorded lectures Teaching Method 3 - Laboratory Work Teaching Method 4: Online office hours |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
16 |
24 24 |
64 | ||||
Timetable (if known) | |||||||
Private Study | 86 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Written Exam. There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When): Semester 1 | 120 | 60 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Problem sheet - generalised least-squares | 0 | 5 | ||||
Problem sheet - tomography | 0 | 5 | ||||
Problem set - statistics and regression | 0 | 5 | ||||
Maths fundamentals (optimisation and eigensystems) | 0 | 5 | ||||
1000 word report There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 1, Week 9. | 0 | 20 |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |