modules

Solar flares occur on eleven-year cycles, surfers wait for “every seventh wave”, porpoise calls have a distinctive signature that can be detected against the background noise of their marine environment, bats locate prey by elaborate use of sonar. In each case, complex time-series data is decomposed into frequency-determined characteristics. This decomposition is then used for explanative and predictive purposes. The analysis of these complex frequency characteristics is at the core of systems and transforms. You will study classical mathematical techniques of Fourier and Laplace transforms, applied in a modern context of a data-rich world. You will use real data from Cornwall-based applications in marine ecology, renewable wave energy and environment and human health.

Pre-requisite modules: “Calculus and Geometry” (ECM1901 ), “Vector and Matrices” (ECM1902 ), or equivalent, and familiarity with MATLAB.

_{Please note that all modules are subject to change, please get in touch if you have any questions about this module.}