2018/19 Undergraduate Module Catalogue

SOEE2250 Numerical Methods and Statistics

10 creditsClass Size: 38

Module manager: Dr Stephen Stackhouse
Email: S.Stackhouse@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2018/19

Pre-requisites

SOEE1160

Comp & Prog in Geosciences

This module is not approved as a discovery module

Module summary

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 programs in the practical sessions.

Objectives

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.

Syllabus

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.

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	10	2.00	20.00
Practical	10	2.00	20.00
Private study hours			60.00
Total Contact hours			40.00
Total hours (100hr per 10 credits)			100.00

Private study

Students will be expected to spend time reviewing course material, completing the problems sets and practicals, and practising computer programming.

Opportunities for Formative Feedback

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.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
In-course Assessment	in-class computer programming assessment	30.00
Total percentage (Assessment Coursework)		30.00

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	70.00
Total percentage (Assessment Exams)		70.00

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 website

Last updated: 17/08/2016

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