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

Pre and co requisites

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

Teaching and learning activity

The indicative content will be delivered through both lectures and tutorials and workshops. Additional support will be provided online through activities such a quizzes and additional reading material.

Assessment

Methods of SUMMATIVE Assessment:Analysis and Study Report
Outcome(s) assessed by summative assessment: LO 1-4
Grading Mode: Numerical
Weighting % 50%
Pass Mark 40%
Word Length Max 1000
Outline Details: Two parts of the coursework:
1. analysis of a sample data set set e.g. mean, mode, median and data variability statistics e.g. Variance, standard deviation
2. Preparation of a word-processed study report
Both part 1 and 2 must be submitted via Moodle (Turnitin)

Methods of SUMMATIVE Assessment: Examination
Outcome(s) assessed by summative assessment: LO 1-5
Grading Mode: Numerical
Weighting % 50%
Pass Mark 40%
Word Length n/a
Outline Details: Formal written exam (1 hour), no calculators, 20 questions with parts. Total marks = 30. (length of the exam is appropriate and sufficient to test the learning outcomes)

Nature of FORMATIVE assessment supporting student learning:
Questions during lectures. Model MCQs and problem solving during tutorial sessions