Module manager: S Stackhouse
Email: s.stackhouse@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2014/15
SOEE1160 | Comp & Prog in Geosciences |
This module is not approved as a discovery module
Numerical methods and statistics play a fundamental role in all aspects of geophysical research. This module teaches students the basic techniques needed for careful analysis of experimental data and solving numerical problems. The students will be introduced to the mathematical methods in the lectures and translate these into Matlab and FORTRAN programs in the practical sessions.
On completion of this module students will be able to:
1. Determine the error associated with experimental data and values calculated from it.
2. Produce computer programs to solve numerical problems that would be impossible to solve analytically or using a calculator. In particular, find the roots or optima of complex functions, solve a linear system of equations, interpolate values, carry out numerical integration and differentiation and solve initial-value and boundary-value problems.
Statistics
1. Error Representation
2. Error Propagation
3. Statistical Analysis
4. Normal Distribution
5. Least-Squares Fitting.
Numerical methods
1. Errors in Numerical Methods
2. Finding Roots
3. One-Dimensional Optimisation
4. Linear Systems - Matrix Inversion
5. Linear Systems - Iterative Methods
6. Interpolation
7. Numerical Integration
8. Numerical Differentiation
9. Initial-Value Problems
10. Boundary-Value Problems.
Delivery type | Number | Length hours | Student hours |
---|---|---|---|
Lecture | 10 | 2 | 20 |
Practical | 10 | 2 | 20 |
Private study hours | 60 | ||
Total Contact hours | 40 | ||
Total hours (100hr per 10 credits) | 100 |
Students will be expected to spend time reviewing course material, completing the problems sets and practicals, and practising computer programming.
Problems sets will be given out in the lectures and reviewed in subsequent lectures. Students will receive oral and written feedback on their computer programs.
Assessment type | Notes | % of formal assessment |
---|---|---|
In-course Assessment | in-class computer programming assessment | 30 |
Total percentage (Assessment Coursework) | 30 |
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 | 70 |
Total percentage (Assessment Exams) | 70 |
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: 2/9/2015
Errors, omissions, failed links etc should be notified to the Catalogue Team