## FOUNDATIONS OF MATHEMATICS, STATISTICS AND IT

 SHE Level 1 SCQF Credit Points 20.00 ECTS Credit Points 10.00 Module Code M1G120011 Module Leader Elaine Gribben School School of Health and Life Sciences Subject Biological and Biomedical Sciences Trimester A (September start)-B (January start)

### Summary of Content

This module is delivered at Glasgow Kelvin College campus and will run over both semesters A and B. It is designed to provide a basic knowledge and understanding of mathematics, statistics and IT to support and enhance further learning. It provides underpinning for course modules Physiological Measurement and Signal Processing 1 , Physiological Measurement and Signal Processing 2, Methodology and Research for Effective Practice.

### Syllabus

Mathematics: Calculus (differentiation/integration) Scientific notation Use of scientific calculator Logarithm, natural logs, exponential laws and graphs Graphs - linear and non-linear Algebra and trigonometry Statistics: Mean, median, mode, standard deviation, error Accuracy and precision Anova analysis of variance Normal distribution Discrete and continuous data Sampling and population distribution Parametric vs non-parametric tests Confidence intervals Information Technology: Hardware components - including networking Software Specifications Word processing, databases, spreadsheets, Powerpoint, DTP Internet access and use as a research resource Signing up to specialist providers, eg. Medicine File, disc management - data storage Knowledge of support devices - printers, scanners, etc

### Learning Outcomes

On completion of this module the student should be able to:(Mathematics)Use scientific notationGraphs:Draw and interpret linear and non-linear graphs.Calculus:Perform first order differentiation and indefinite/definite integration of several standard functions.Utilise logarithmic and exponential functions:Algebra and Trigonometry(Statistics)Understand and define: a normal distribution, mean, median, mode, standard deviation and margin of error.accuracy and precision.analysis of variance (ANOVA).discrete and continuous data.Sampling and population distribution.Parametric and non-parametric tests.Confidence intervals.(Information Technology)Understand the difference between a standalone computer system and a computer network.Know the components of standalone and networked computer systems, eg. CPU, printer, VDU, hard drive, RAM, server, client, scanner, etc., computer software and hardware, computer specifications, software applications: eg. WORD, ACCESS, EXCEL, Powerpoint, DTP, internet as a research resource.Store and manage computer files efficiently, with appropriate use of directories and sub-directories.

### Teaching / Learning Strategy

This module will be delivered off campus. Lectures and tutorials will be used for the maths and statistics content, with computer applications (eg. EXCEL) being used as appropriate. Student-centred learning materials and directed learning will be used in addition to lectures and tutorials for the IT content. In particular, self-learning material will be provided for WORD, EXCEL, ACCESS and Powerpoint.

Currell & Downing (2009), Essential Mathematics and Statistics for Science (2nd ed.) Wiley Stroud & Booth (2009), Foundation Mathematics , Palgrave MacMillan

### Transferrable Skills

The student's transferable skills will be extended in the following areas: IT competence, information retrieval, communication, interpretation of information, independent learning, problem solving

### Module Structure

Activity Total Hours
Directed Learning 20.00
Lectures (PT) 46.00
Independent Learning (PT) 90.00
Assessment (PT) 20.00
Tutorials (PT) 24.00

### Assessment Methods

Component Duration Weighting Threshold Description
Exam (School) 1.00 30.00 35% Objective
Coursework 1 n/a 40.00 35% SCL
Exam (School) 1.00 30.00 35% Objective