F18ZG - Mathematics for Data Scientists 7 Vector Geometry, Calculus and Integral Transforms

Course leader(s):

Aims

This aims to provide a fundamental course in the basic methods of mathematical modelling with emphasis on linear algebra. 

Syllabus

1. Analytic Geometry (1.1 Vector Algebra, Scalar and Vector Products, Lines and Planes, Derivatives of Scalar and Vector Functions, Directional Derivatives, Linear Approximation of Curves, Tangent Planes, Grad, Div, Curl.)

2. Laplace Transforms (2.1 Laplace Transforms, Inverse Laplace Transforms, Solving Differential Equations DEs and Systems of DEs with Laplace Transforms.)

3. Fourier series and Fourier transforms (3.1 Fourier Series, Fourier Transforms, Inverse Fourier Transforms, Properties.)

4. Computer Algebra System (4.1 Accurately and precisely input mathematical syntax into a computer algebra system)

Learning outcomes

By the end of the course, students should be able to do the following:

Further details

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SCQF Level: 8

Credits: 7.5