The aim of this module is to further students' understanding of the acute physiological responses to exercise and chronic physiological adaptations to exercise and training in humans and how these responses are regulated. The influence of environmental factors and fatigue on physiological processes are also examined. A further aim is to develop students' practical laboratory/experimental skills in human and exercise physiology.

The aims of this module are for the student to:

• Develop an understanding of the mechanical principles governing human movement.
• Be introduced to the mathematical modelling of sports movements.
• Be introduced to biomechanical data acquisition techniques and their use in mechanical analysis of sports movements.

The aims of this module are:

• To introduce fundamental statistical concepts.
• To introduce statistical methods and associated theory for design and analysis of studies and experiments.
• To develop statistical software skills.
• To reinforce skills regarding the interpretation of statistical analyses.

The aim of this module is to develop further the main concepts of linear algebra.

The aims of this module are to introduce the basic ideas of kinematics and particle dynamics, connecting the mathematics with physical applications.

A part aim for this module is to enable students to become aware of and develop their academic, professional and personal skills through Personal Best. Personal Best is a development programme available to all students at Loughborough University.

The aim of this module is to develop students' understanding of key theoretical and practical factors governing the acquisition and performance of human movement skills.

The aims of this module are:

• to give a rigorous introduction to the analytical theory underpinning calculus for functions of one real variable
• to develop the basic ideas of real analysis in several variables

The aims of this module are to:

• Raise students' awareness of the nature of mathematics and how this can affect learning and teaching.
• Introduce students to what it means to learn and teach mathematics.
• Encourage them to reflect critically on their own experiences.
• Consider issues that are central to effective education in mathematics.

The aims of this module are to introduce students to modern concepts and methods of combinatorics and graph theory.

The aims of this module are:

• To introduce basic concepts and methods of probability theory.
• To provide the requisite theoretical background for later probability and statistics modules.

The aim of this module is to further students' understanding of the major psychological determinants and perceptual-cognitive factors underpinning sport expertise.

The aim of this module is to introduce students to the classical results in the theory of analytic functions of a complex variable.

The aim of this module is to give a grounding in the central ideas of topology, sufficient for the main applications in geometry, analysis and mathematical physics.

The aims of this module are:

• To introduce fundamental statistical modelling concepts.
• To introduce associated theories for statistical inference.
• To develop statistical software skills.
• To reinforce skills regarding the interpretation of statistical analyses.