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
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.
| SOEE1301 | Intermediate Mathematics for Environmental and Geophysical S |
| SOEE2430 | Adv Maths for Scientists |
This module is not approved as a discovery module
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.
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.
1. Partial derivatives and extrema
2. Vector calculus
3. Partial differential equations
4. Fourier analysis
5. Introduction to multi-dimensional integration.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 11 | 1 | 11 |
| Practical | 11 | 2 | 22 |
| Private study hours | 67 | ||
| Total Contact hours | 33 | ||
| Total hours (100hr per 10 credits) | 100 | ||
- Assessed exercises: 6 hours
- Non-assessed exercises: 46 hours
- Private study and revision: 15 hours.
- 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.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| In-course Assessment | 1 assessment | 15 |
| Total percentage (Assessment Coursework) | 15 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 1.0 Hrs 30 Mins | 85 |
| Total percentage (Assessment Exams) | 85 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 06/10/2017
Errors, omissions, failed links etc should be notified to the Catalogue Team