Module overview
This is a skills-based module that covers applications of seismology to geological and environmental problems.
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Ability to use the published scientific literature to support data analysis and draw appropriate conclusions.
- Ability to report the outcomes of data analysis clearly and concisely.
- Use appropriate techniques to analyse earthquake datasets
- Ability to analyse large geoscience datasets
Syllabus
This module focuses on practical techniques in seismology that allow us to assess geohazards and the impacts of fluid injection and extraction, related to, for example, resource extraction and storage, and to increase our understanding of tectonic processes. The module comprises a series of lectures and exercises in which students are provided with datasets that illustrate different applications of seismology and analyse each of these datasets in a series of practical sessions. Applications will include volcano seismicity, tectonic (earthquake) seismicity and induced seismicity related to, for example, fluid injection and extraction. The practical sessions will be supported by lectures providing the scientific background required, focusing on active Earth processes.
Learning and Teaching
Teaching and learning methods
Formal lectures (1 x 45 minutes per week) will introduce students to the cutting edge of research in the use of earthquake seismology to study volcanic processes, tectonic processes and induced seismicity.
Practical sessions (2 x 2-hour sessions per week) will introduce students to large datasets available online or provided by teaching staff. For each dataset, students will conduct an analysis over several weeks using software and other materials provided, to make inferences about Earth processes.
Type | Hours |
---|---|
Practical classes and workshops | 44 |
Guided independent study | 95 |
Lecture | 11 |
Total study time | 150 |
Assessment
Assessment strategy
Each assessment will comprise a literature review of the associated topic and a report on the data analysis completed.
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Data management, analysis and reporting of results | 50% |
Data management, analysis and reporting of results | 50% |
Repeat Information
Repeat type: Internal & External