Teaching Responsibility
LJMU Schools involved in Delivery:
Computer Science and Mathematics
Learning Methods
Lecture
Tutorial
Workshop
Module Offerings
4113MATHS-JAN-CTY
Aims
To introduce the student to mathematical modelling and analytical reasoning linked to real-world applications.
To introduce students to algorithms for, and practical applications of linear algebra.
Learning Outcomes
1.
Understand the importance of interpreting problems in mathematical form.
2.
Model sports data using regression methods and present as a group.
3.
Apply linear algebra techniques and algorithms in real-world problem solving.
Module Content
Outline Syllabus:Mathematical Methods for Modelling.
Review of least squares regression and application to performance data.
Numerical algorithms in linear algebra, e.g. methods for evaluating eigenvalues. Applications of matrices in statistics.
Other application areas, such as Page Rank algorithm.
Module Overview:
The aim of this module is to introduce you to mathematical modelling and analytical reasoning linked to real-world applications and introduce you to algorithms for, and practical applications of linear algebra.
The aim of this module is to introduce you to mathematical modelling and analytical reasoning linked to real-world applications and introduce you to algorithms for, and practical applications of linear algebra.
Additional Information:This is an integrative module to give students proficiency and confidence in the use
of fundamental mathematical tools.
The first part gives confidence and experience in presenting statistical data.
It then covers the application of matrices, eigenvalues and eigenvectors, not
only as important concepts, but also as the kernel for many applications. The module
sets the foundation for relating defined mathematical tools to areas of mathematical
sciences and therefore has a focus on problem solving using theoretical material
covered in more detail in other modules.