Last modified: 31 May 2022 13:05
This module is designed to give students a range of computational skills associated with time-series analysis and inverse theory. The module content will be delivered in the form of lectures, practicals and webinars.
Time series analysis and inverse theory is of paramount importance in exploration geophysics and computational sciences. The students will get familiar with signal processing and optimisation. This will open up multiple career paths in geoscience and STEM in general.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Session | First Sub Session | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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The course will provide the student with essential computational skills associated with: A) Time series analysis and B) Inverse theory as applied to exploration geophysics and seismology.
Inverse Theory:
With the advent of larger and more complex datasets, the solution of inverse problems is becoming increasingly relevant in modern geophysics. In this course, as well as learning the fundamentals of inverse theory, students will be exposed to cutting edge methods used in a wide variety of applied geophysics problems.
Time Series Analysis:
An introduction to the theory of time series analysis applied to geophysical data acquisition and real and synthetic seismic signals, including an understanding of the underlying philosophy and mathematical foundations. The main focus will be on signal processing and 1D-2D filtering techniques with consideration to Fourier analysis and Z-transforms.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Apply | 1)Understand Fourier and Z-transform 2)Being able to apply FFT filters 3)Understand how a seismometer works 4)Being able to solve linear inversion problems 5)Get familiar with global and convex optim |
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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There are no assessments for this course.
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Apply | 1)Understand Fourier and Z-transform 2)Being able to apply FFT filters 3)Understand how a seismometer works 4)Being able to solve linear inversion problems 5)Get familiar with global and convex optim |
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