# Module Overview

### Fundamentals of Mathematical Science

This aim of the module is to provide students with a working knowledge and skill in mathematics relevant to a science related course. Students are expected to develop and demonstrate the ability to carry out mathematical calculations that are used in sports industry and sector and to competently undertake various mathematical operations.

MATH H1077

##### ECTS Credits

5

*Curricular information is subject to change

Evaluating Numerical Expressions

Choosing the correct rules to use, following the Order of Precedence Laws and returning answers in different mathematical forms.

Manipulating Equations

Recalling the Fundamental Theorem of Equations. Identifying how many unknown values are involved. Using the correct method when solving simultaneous equations. Substituting values for the variable and solving equations.

Solving Functions

Knowing what the structure of a function is and what a function does to the variable involved. Substituting values for the variable and solving the given function.

Rearranging Formulae

Identify how many variables are involved. Remembering to use the equality rule. Use the Order of Precedence rules.

Manipulating vectors

Scalars and vectors. Addition and subtraction of vectors. Modulus of a vector. Unit vectors. Resolution into component form. Scalar product.

Representing Statistical Information Graphically

Reading a frequency table of sports information correctly and using a frequency curve or histogram or other statistical graphic to display the data.

Using Statistical Calculations

Identify the mode and median of a data set of performance times, goals scored, split lap times or some such relevant material. Calculate the mean and standard deviation of a set of sports data and note their relevance to the information within the data set.

Calculating Probabilities

Calculate the probabilities of independent and dependent events.

Calculating Probabilities using Probability Distributions

Calculate probabilities using the Binomial, Poisson and Normal Distributions.

Methods used to achieve the module learning outcomes will include lectures, tutorials, laboratory practicals, interpretation of data, case studies, problem-solving exercises, video presentations, self-directed learning and computer-based learning

Module Content & Assessment
Assessment Breakdown %
Formal Examination70
Other Assessment(s)30