Description:
| Aims: To consolidate and extend topics met at A-level.
To improve students' fluency and understanding of the basic techniques required for engineering analysis.
Learning Outcomes: After taking this unit the student should be able to:
* Solve certain classes of ODE.
* Perform Laplace Transforms and their inverse.
* Determine probabilities of events and sequences of events.
* Determine probabilities and find means and standard deviations of both discrete and continuous probability distributions.
* Statistical testing.
* Find eigenvalues and eigenvectors of square matrices.
* Perform least-squares fitting of data.
Skills: Numeracy; working independently.
Content: Ordinary differential equations: classification; reduction to first order form; 1st order nonlinear equations, variables-separable equations, linear constant coefficient equations. Laplace Transforms: definition; examples; transforms of derivatives; unit pulse, impulse and step function; shift theorems in s and t; solution of linear constant-coefficient ODEs, convolution theorem. Probability: trial, outcome, sample space and event; use of Venn diagrams; simple probability; complementation and addition rules; conditional probability; independent events; sampling; probability relating to sequences of events. Probability distributions: discrete and continuous distributions; mean, median, mode, percentiles and standard deviation; Poisson distribution; normal distribution. Statistics: hypothesis testing. Matrices: Gaussian elimination; eigenvalues and eigenvectors. Miscellaneous topics: least squares fitting of data.
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