Module OSX-3018:
Numerical Methods
OSX-3018 Numerical Methods for Oceanographers 2024-25
OSX-3018
2024-25
School of Ocean Sciences
Module - Semester 1
20 credits
Module Organiser:
Mattias Green
Overview
Maths Component • A review of basics (including rules of indices, dimensions, scientific notation, functions, logarithms, exponential functions, binomial functions, solution to quadratic); • trigonometry; • matrices; • Calculus 1: differentiation; • Calculus 2: integration; • vectors; • complex numbers; • ordinary differential equations; • partial differential equations
Matlab Programming Component • Basic programming techniques • Data analysis methods • Data visualisation and presentation
Assessment Strategy
Threshold (grade D- )A basic appreciation of the mathematical tools used used in physical oceanography. Basic ability to master some simple computer techniques associated with programming and data analysis.Basic ability to solve numerical problems using appropriate techniques and to interpret the results.Complete all practical assignments, deriving some sort of an answer in each case.
Good (grade B) Able to appreciate the mathematical tools used in physical oceanography. Able to master some simple computer techniques associated with programming and data analysis.Good ability to solve numerical problems using appropriate techniques, and to interpret the results. Threshold plus correct assignment work and ability to answer numerical questions logically
Excellent (grade A) Considerable appreciation of the mathematical tools used in physical oceanography. Considerable ability to master some simple computer techniques associated with programming and data analysis.Thorough ability to define and solve numerical problems using appropriate techniques, and to interpret the results.Good plus the ability to solve problems without being led.
Learning Outcomes
- Appreciate how to analyse common oceanographic data.
- Demonstrate a thorough understanding of the mathematical methods used in physical oceanography.
- Write efficient computer programs in Matlab
Assessment type
Summative
Weighting
50%
Assessment type
Summative
Weighting
50%