Undergraduate Course: Mathematical Methods for Geophysicists (EASC09021)
Course Outline
School | School of Geosciences |
College | College of Science and Engineering |
Course type | Standard |
Availability | Available to all students |
Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Credits | 10 |
Home subject area | Earth Science |
Other subject area | None |
Course website |
None |
Taught in Gaelic? | No |
Course description | This course is aimed at third-year geophysics, geology, and GPG students who are interested in using and extending their mathematical skills, and in exploring the insights that can be developed through quantitative modelling of geological processes. It is compulsory for those students who intend to take Geophysics 4. Examples and applications will be drawn from the book "Geodynamics" by Turcotte & Schubert, though the mathematical treatment may be different. Teaching is by means of a series of "workshops", in which short lectures on the underlying mathematical techniques and their geological and geophysical applications are mixed with example classes and computational sessions. |
Information for Visiting Students
Pre-requisites | None |
Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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Delivery period: 2011/12 Semester 1, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
King's Buildings | Lecture | | 1-11 | | | | 15:00 - 17:00 | | King's Buildings | Lecture | | 1-11 | 14:00 - 14:50 | | | | |
First Class |
Week 1, Monday, 14:00 - 14:50, Zone: King's Buildings. JCMB Lab 6201 |
No Exam Information |
Summary of Intended Learning Outcomes
At the end of this course, students will:
1. Have a broad and integrated understanding of how to apply their mathematical skills in an Earth science context and what insights can be gained from the quantitative modelling of geological processes.
2. Be able to apply their modelling and mathematical skills in computational sessions as part of this course.
3. Be able to interpret, use and evaluate numerical and modelling data through this course.
4. Have a critical understanding of vectors and how they are implemented in this field. |
Assessment Information
Continuous assessment (no written examination). |
Special Arrangements
None |
Additional Information
Academic description |
Not entered |
Syllabus |
Not entered |
Transferable skills |
Not entered |
Reading list |
Not entered |
Study Abroad |
Not entered |
Study Pattern |
Not entered |
Keywords | Math_Methods |
Contacts
Course organiser | Dr Wyn Williams
Tel: (0131 6)50 4909
Email: wyn.williams@ed.ac.uk |
Course secretary | Miss Emma Latto
Tel: (0131 6)50 8510
Email: emma.latto@ed.ac.uk |
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© Copyright 2011 The University of Edinburgh - 16 January 2012 5:53 am
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