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Level 0 Study Guide 2012-13 Biosciencex - Swansea University

Level 0 Study Guide 2012-13 Biosciencex - Swansea University

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BIO001<br />

Data Analyses and Presentation<br />

Credits 15<br />

ECTS 7.5<br />

Lecturer/Co-ordinator Dr Mike Fowler Module Type Lecture/Computer Lab<br />

Contact Hours 26 Delivery On Campus<br />

Assessment Type & Method Examination, Coursework 1, Coursework 2<br />

Module Synopsis<br />

This module is designed to illustrate the value and use of data within a diverse range of scientific<br />

disciplines. The content of the module includes understanding the different types of data that can<br />

be measured and collected, the tools to formally present data and data analyses, and a practical<br />

application of data analyses software. The module is supported by lectures, computer-based<br />

sessions and e-learning material.<br />

Syllabus<br />

The module will comprise of the following subjects:<br />

· Using maths in Science<br />

· Understanding data<br />

· Types of data<br />

· Units and measurement<br />

· Using data bases<br />

· Preparing figures, graphs and tables<br />

· Sampling concepts<br />

· Hypothesis testing<br />

· Descriptive statistics<br />

· Basic inferential statistics<br />

The module is supported by both lectures and guided / self directed computer sessions<br />

The module includes two continual assessments :<br />

1. Data presentation (25% module mark)<br />

2. Data analyses (25% module mark)<br />

The module is further assessed by a final MCQ (50% module mark)<br />

TB2<br />

Main Recommended Texts<br />

MacKenzie, Mathematics and Statistics for Life Scientists, Publisher: Taylor and Francis<br />

Learning Outcomes<br />

At the end of this module students will be able to demonstrate<br />

· Understanding of the different type of data and how they are measured<br />

· Knowledge of standard units of measurement<br />

· Detailed understanding of how to present data in tables, figures and graphs<br />

· Practical knowledge of the use of databases and spread sheet applications<br />

· Applied knowledge of the use of descriptive and inferential statistics<br />

Notes<br />

Available to students enrolled on the Science Foundation Year or by permission from College of<br />

Science<br />

30

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