|Delivery Type||Delivery length / details|
|Lecture||1 x 1 hour lecture per week|
|Practical||12 Hours. (6 x 2 hours over two semesters)|
|Assessment Type||Assessment length / details||Proportion|
|Semester Exam||2 Hours Mathematics exam||40%|
|Semester Assessment||Word processing assignment test||20%|
|Semester Assessment||Spreadsheet and mathematics assignment test||40%|
|Supplementary Assessment||2 Hours Mathematics exam||40%|
|Supplementary Assessment||Practical Exam (word processing and spreadsheets, inc maths)||60%|
On completion of this module, students should be able to:
- apply a range of basic mathematical techniques to deal with biological data
- use a word processor, spreadsheet and the internet for e-mail and searching for information.
The following mathematical concepts will be set in a background of handling biological data: basic numeracy; types of numbers; significant figures; scientific notation; units - conversion from one level to another (including standard SI units); logarithms, converting from number to log and back again; exponents; tables and graphs; concepts of dilution series; percentages and roportions; basic algebra; basic statistics; mode, median, mean, variance, standard deviation, frequency distribution; normal curves in biological applications.
This modules will provide instruction in teh basic mathematical and information technology skills required by a student in biological sciences.
The aim of this module is to introduce students to the basics of mathematical and information technology techniques, assuming no previous knowledge or experience in these areas.
|Skills Type||Skills details|
|Application of Number||See 1 above|
|Communication||Attendance at lectures, presentation of course work and written examinations will provide opportunities to develop written and listening skills.|
|Improving own Learning and Performance||Attendance at lectures, workshops and tutorials, working to deadlines for coursework and workshops, and preparation for examinations will require the development of self management strategies and personal action plans.|
|Information Technology||Learning to use word processing and spreadsheet packages.|
|Problem solving||Solving of mathematical problems of a biological nature|
Ennos, A. R. (2000.) Statistical and data handling skills in biology /Roland Ennos. Primo search
This module is at CQFW Level 3