# Mathematics for Life Sciences

## Module summary

Module code: MATH1147
Level: 0
Credits: 15
School: Engineering and Science
Department: Science
Module Coordinator(s): Susan Force

## Specification

None

### Aims

• To equip students with the basic techniques of algebra, geometry, trigonometry and calculus, so that when these are needed as tools for the development and exploration of topics encountered in subsequent parts of their programme these same students may engage with confidence.

• The students will gain competence with the basic concepts from probability and statistics and acquire skills in data collection, summarisation and appraisal.

• The students will acquire basic knowledge and mathematical proficiency suitable for the subsequent Level 4 study

### Learning outcomes

On successful completion of this course a student will be able to:

1 Demonstrate knowledge, understanding and an ability to undertake simple mathematical calculations.
2 Show the ability to collect, summarise and appraise numerical data.
3 Demonstrate an ability to apply the knowledge gained to elementary problem solving.
4 Demonstrate basic competence in the interpretation, presentation and communication of data.
5 Established learning skills required for Level 4 study and demonstrated ability to obtain and use information from a variety of sources as part of self-directed learning.

### Indicative content

The course aims to give a basic understanding of concepts of basic mathematical operations, probability and statistics, so that when these are needed as tools for the development and exploration of topics encountered in subsequent parts of their programme these same students may engage with confidence and some facility.
This covers the following elements:

a) Review of basic numeracy skills (covering concepts and use of: decimals; fractions; ratios, proportions and parts; percentages; unit conversion).
b) Use of ratios and proportions in general life-sciences.
c) Calculate concentrations and dilutions, including dose and molar calculations related problems.
d) Basic manipulation of simple equations, including handling of concentrations and dilutions.
e) Statistical methods for summarising and analysing data; using numerical data summary measures, mode, mean, median, quantile and standard deviation.
f) Tabular and graphic description of data, including bar diagrams, histograms, and pie charts.
h) Basic understanding of normal distribution and skewness of data, scatter diagram and linear regression analysis