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2018/19 Undergraduate Module Catalogue
SOEE1311 Advanced Mathematics for Environmental and Geophysical Scientists
10 creditsClass Size: 42
Module manager: Dr Steven Dobbie
Email: J.S.E.Dobbie@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2018/19
Pre-requisite qualifications
SOEE1301 or students with A-level pure maths or further maths (or equivalent) may take this module with approval from the module leader and your programme manager.Pre-requisites
SOEE1301 | Intermediate Mathematics for Environmental and Geophysical S |
This module is mutually exclusive with
SOEE2430 | Adv Maths for Scientists |
This module is not approved as a discovery module
Objectives
On completion of this module, students will be able to:1. determine the partial derivatives and extrema of a function
2. apply the grad operator (div, grad, curl)
3. solve partial differential equations
4. Fourier analysis
5. introduction to multi-dimensional integration.
Skills outcomes
The module places considerable emphasis on:
- developing the skills necessary for self-managed and lifelong learning (eg working independently, time management and organisation skills);
- recognising and using subject-specific theories, paradigms, concepts and principles;
- applying knowledge and understanding to address familiar and unfamiliar problems;
- solving numerical problems using computer and non-computer based techniques;
- developing the skills necessary for self-managed and lifelong learning (eg working independently, time management and organisation skills).
The module places moderate emphasis on:
- analysing, synthesising and summarising information critically, including prior research;
- preparing, processing, interpreting and presenting data, using appropriate qualitative and quantitative techniques and packages;
- using the Internet critically as a means of communication and a source of information;
- identifying and working towards targets for personal, academic and career development.
The module places some emphasis on:
- collecting and integrating several lines of evidence to formulate and test hypotheses;
- receiving and responding to a variety of information sources (eg textual numerical, verbal, graphical);
- developing an adaptable and flexible approach to study and work.
Syllabus
1. Partial derivatives and extrema
2. Vector calculus
3. Partial differential equations
4. Fourier analysis
5. Introduction to multi-dimensional integration.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Lecture | 11 | 1.00 | 11.00 |
Practical | 11 | 2.00 | 22.00 |
Private study hours | 67.00 | ||
Total Contact hours | 33.00 | ||
Total hours (100hr per 10 credits) | 100.00 |
Private study
- Assessed exercises: 6 hours- Non-assessed exercises: 46 hours
- Private study and revision: 15 hours.
Opportunities for Formative Feedback
- Example sheets with model solutions are provided at the start of each topic.- Students study these as part of the learning process.
- Further examples sheets (not assessed) are provided for students to work on independently.
- Assistance with these may be given at practical classes but solutions are only provided after the topic is completed.
Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
In-course Assessment | 1 assessment | 15.00 |
Total percentage (Assessment Coursework) | 15.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
Exam type | Exam duration | % of formal assessment |
Standard exam (closed essays, MCQs etc) | 1 hr 30 mins | 85.00 |
Total percentage (Assessment Exams) | 85.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 06/10/2017
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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