Undergraduate Course: Earth Modelling and Prediction 2 (EASC08018)
Course Outline
| School | School of Geosciences |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Not available to visiting students |
| Credit level (Normal year taken) | SCQF Level 8 (Year 1 Undergraduate) |
Credits | 20 |
| Home subject area | Earth Science |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | A mathematical description of Earth systems can both aid in prediction of these systems and lead to deeper understanding. In addition, many disciplines in the geosciences are becoming increasingly quantitative. This course is designed to give students mathematical skills needed to understand geoscience problems involving differentiation, integration, differential equations and the derivation of conservation equations. These topics are presented in a geoscience context, with techniques applied to environmental fluid mechanics, geochemistry, geomorphology, glaciology and thermal properties of the Earth.
Students will learn through problem sets, online quizzes, readings and tutorial sessions.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
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| Delivery period: 2013/14 Semester 2, Not available to visiting students (SS1)
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Learn enabled: Yes |
Quota: None |
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Web Timetable |
Web Timetable |
| Course Start Date |
13/01/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 30,
Seminar/Tutorial Hours 9,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
157 )
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| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S2 (April/May) | | 2:00 | | | Resit Exam Diet (August) | | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
1. Differentiate simple equations
2. Integrate simple equations
3. Solve simple differential equations
4. Derive and solve conservation equations for natural systems |
Assessment Information
| 50% coursework, consisting of 4 assessed quizzes. 50% exam |
Special Arrangements
| None |
Additional Information
| Academic description |
A mathematical description of Earth systems can both aid in prediction of these systems and lead to deeper understanding. In addition, many disciplines in the geosciences are becoming increasingly quantitative. This course is designed to give students mathematical skills needed to understand geoscience problems involving differentiation, integration, differential equations and the derivation of conservation equations. These topics are presented in a geoscience context, with techniques applied to environmental fluid mechanics, geochemistry, geomorphology, glaciology, thermal properties of the Earth and other geoscience topics. |
| Syllabus |
Week 1: Introduction, application of mathematics to natural systems
Week 2: Differentiation
Week 3: Applied differentiation and integration
Week 4: Integration and partial differentiation
Week 5: Applied partial differentiation and multiple integrals
Week 6: Conservation equations: introduction
Week 7: Conservation equations: derivation using Taylor expansion and divergence theorem
Week 8: Examples of conservation equations
Week 9: More examples of conservation equations
Week 10: Can we do this in a computer? and review
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| Transferable skills |
Not entered |
| Reading list |
Stroud and Booth, Engineering Mathematics, Palgrave MacMillan |
| Study Abroad |
Not entered |
| Study Pattern |
3 lectures per week for 10 weeks plus 1 tutorial per week for 10 weeks |
| Keywords | Calculus; conservation; statistics |
Contacts
| Course organiser | Dr Simon Mudd
Tel: (0131 6)51 9090
Email: simon.m.mudd@ed.ac.uk |
Course secretary | Mrs Nicola Muir
Tel: (0131 6)50 4842
Email: Nikki.Muir@ed.ac.uk |
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