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2022/23 Undergraduate Module Catalogue

SOEE2190 Time Series Analysis and Digital Signal Processing

10 creditsClass Size: 35

Module manager: Prof Jurgen Neuberg

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2022/23

Pre-requisite qualifications

One year of University mathematics for science, Fourier Series and Complex Numbers.

Module replaces


This module is not approved as a discovery module


To provide the mathematical foundation for spectral analysis and filter theory as applied to the analysis of seismic and potential field data in applied and pure geophysics.

Learning outcomes
At the end of this module students will be able to
-use digital filters in time and frequency domain,
-apply convolution and deconvolution to time series,
-understand the consequences of the digitisation process,
-plan and carry out a digital data acquisition process,
-analyse time and spatial data series.


The Fourier series, discrete Fourier transform and convolution theorem as applied to spectral analysis and filtering of geophysical data. Sampling theorem, aliasing and the Nyquist frequency. Bandpass filtering of seismograms. Autocorrelation and cross correlation. The z-transform deconvolution, 2D Fourier transforms and f-k filtering.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours70.00
Total Contact hours30.00
Total hours (100hr per 10 credits)100.00

Private study

Lecture reading at 3 hours per lecture (48 hours)
7 computer exercises (14 hours)
8 problem sheets on VLE (8 hours)

Opportunities for Formative Feedback

Continuous in class assessment

Methods of assessment

Assessment typeNotes% of formal assessment
In-course AssessmentContinuous assessment through online exercises40.00
Report5 weekly practicals, submitted at the end of semester60.00
Total percentage (Assessment Coursework)100.00

Re-sit is by examination only.

Reading list

The reading list is available from the Library website

Last updated: 26/05/2022 14:15:14


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