2022/23 Undergraduate Module Catalogue
SOEE2250 Numerical Methods and Statistics
10 creditsClass Size: 38
Module manager: Dr Stephen Stackhouse
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2022/23
|SOEE1160||Comp & Prog in Geosciences|
This module is not approved as a discovery module
Module summaryNumerical 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 Python programs in the practical sessions.
ObjectivesThe objective of the first part of the module is to introduce students to the most common numerical methods, both theory and implementation in Python. The objective of the second part is for students to learn how to handle and report data with uncertainties in an appropriate manner.
On completion of this module students should be able to:
1. Derive expressions for simple numerical methods.
2. Solve mathematical problems via recall or use of the appropriate numerical method for finding the roots or optima of functions, solving linear systems of equations, interpolating values, performing numerical integration and differentiation, and solving initial-value and boundary-value problems.
3. State the advantage and disadvantages of different numerical methods and, where appropriate, conditions required for convergence.
4. Handle and report data with uncertainties in an appropriate manner.
1. Errors in Numerical Methods
2. Finding Roots
3. One-Dimensional Optimisation
4. Linear Systems - Direct Methods
5. Linear Systems - Iterative Methods
7. Numerical Integration
8. Numerical Differentiation
9. Initial-Value Problems
10. Boundary-Value Problems.
1. Error Representation
2. Error Propagation
3. Statistical Analysis
4. Normal Distribution
5. Least-Squares Fitting.
|Delivery type||Number||Length hours||Student hours|
|Private study hours||60.00|
|Total Contact hours||40.00|
|Total hours (100hr per 10 credits)||100.00|
Private studyStudents will be expected to spend time reviewing course material, completing the problems sets and practicals, and practising computer programming.
Opportunities for Formative FeedbackStudents get formative feedback on their weekly computer programming practicals.
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|In-course Assessment||Computer programming assessment||30.00|
|Total percentage (Assessment Coursework)||30.00|
The resit for this module will comprise a single unseen examination paper which will form 100% of the resit mark.
|Exam type||Exam duration||% of formal assessment|
|Online Time-Limited assessment||1 hr 30 mins||70.00|
|Total percentage (Assessment Exams)||70.00|
An additional time allowance of 1hr 00 mins will be added to allow for uploading solutions
Reading listThe reading list is available from the Library website
Last updated: 26/05/2022 14:15:14
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