MATH06070 2019 Mathematics for Science 2
Full Title
Mathematics for Science 2
Transcript Title
Mathematics for Science 2
Code
MATH06070
Attendance
N/A %
Subject Area
MATH - 0541 Mathematics
Department
LIFE - Life Sciences
Level
06 - Level 6
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2019 - Full Academic Year 2019-20
End Term
9999 - The End of Time
Author(s)
David Doyle
Programme Membership
SG_SFORE_G07 201900 Bachelor of Science in Science in Forensic Invest and Analys(Emb)
SG_SAGRI_B07 201900 Bachelor of Science in Agri-Food Science
SG_SECOL_B07 202000 Bachelor of Science in Environmental Science with Ecology
SG_SBIOM_B07 201900 Bachelor of Science in Biomedical Science
SG_SMEDI_H08 201900 Bachelor of Science (Honours) in Medical Biotechnology
SG_SOCCU_B07 201900 Bachelor of Science in Science in Occupational Safety and Health
SG_SENVI_B07 201900 Bachelor of Science in Environmental Protection
SG_SSUST_C06 201900 Higher Certificate in Science in Sustainable Food Production
SG_SPHAR_B07 201900 Bachelor of Science in Pharmaceutical Science with Drug Development
SG_SECOL_H08 202000 Bachelor of Science (Honours) in Environmental Science with Ecology
SG_SECOL_C06 202000 Higher Certificate in Science in Environmental Science with Ecology
SG_SHUMA_H08 201900 Bachelor of Science (Honours) in Human Nutrition
SG_SHUMA_B07 201900 Bachelor of Science in Human Nutrition
SG_SPHAR_H08 201900 Bachelor of Science (Honours) in Pharmaceutical Science with Drug Development
SG_SAGRI_H08 201900 Bachelor of Science (Honours) in Science in Agri-Food Science
SG_SSCIE_B07 201900 Bachelor of Science in Science
SG_SFORE_H08 201900 Bachelor of Science (Honours) in Forensic Investigation and Analysis
SG_SENVI_H08 201900 Bachelor of Science (Honours) in Environmental Science
SG_SOCCU_H08 201900 Bachelor of Science (Honours) in Occupational Safety and Health
SG_SFORE_B07 201900 Bachelor of Science in Science in Forensic Investigation and Analysis
SG_SSCIE_H08 201900 Bachelor of Science (Honours) in Science
SG_SSCIE_C06 201900 Higher Certificate in Science
SG_SOCCU_B07 201900 Bachelor of Science in Occupational Safety and Health
SG_SAGRI_H08 202000 Bachelor of Science (Honours) in Agri-Food Science
SG_SBIOM_C06 202100 Higher Certificate in Science in Biomedical Science
SG_SPHAR_C06 202100 Higher Certificate in Science in Pharmaceutical Science
SG_SECOL_B07 202100 Bachelor of Science in Environmental Science with Ecology
SG_SECOL_H08 202100 Bachelor of Science (Honours) in Environmental Science with Ecology
SG_SCLIN_H08 202300 Bachelor of Science (Honours) in Clinical Measurement Physiology
SG_SHUMA_H08 202200 Bachelor of Science (Honours) in Human Nutrition
SG_SHUMA_B07 202200 Bachelor of Science in Human Nutrition
SG_SBIOS_H08 202300 Bachelor of Science (Honours) in Biomedical Science
SG_SCLIN_C06 202300 Higher Certificate in Science in Clinical Measurement Physiology (Exit)
SG_SHUMA_H08 202400 Bachelor of Science (Honours) in Human Nutrition
SG_SSUST_C06 202400 Higher Certificate in Science in Sustainable Food Production
SG_SAGRI_H08 202400 Bachelor of Science (Honours) in Agri-Food Science
SG_SECOL_C06 202400 Higher Certificate in Science in Environmental Science with Ecology
SG_SECOL_H08 202400 Bachelor of Science (Honours) in Environmental Science with Ecology
SG_SAGRI_B07 202400 Bachelor of Science in Agri-Food Science
SG_SHUMA_B07 202400 Bachelor of Science in Human Nutrition
SG_SCLIN_H08 202400 Bachelor of Science (Honours) in Clinical Measurement Physiology
SG_SCLIN_C06 202400 Higher Certificate in Science in Clinical Measurement Physiology (Exit)
Description
This module introduces the functions which occur most commonly in science and ways of examining their behaviour. The primary focus is to understand where these functions occur, both in real life and science, and to provide students with the ability to recognise and analyse them appropriately. The module also introduces statistical methods and analysis.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Analyse and sketch polynomial functions of a linear, quadratic and cubic nature. Discuss real world applications of these functions
2.
Analyse and sketch functions of a sinusoidal and rational nature. Discuss real world applications of these functions
3.
Analyse and sketch functions of a logarithmic and exponential nature. Discuss real world applications of these functions
4.
Use differential Calculus to analyse max/min curves and solve optimisation problems.
5.
Identify different types of data and use appropriate tables and curves to analyse data sets.
Teaching and Learning Strategies
This module will be delivered full time. This will include live lectures supported by online VLE (Moodle) based notes, videos and associated quizzes.
Module Assessment Strategies
This module is 30% Continuous Assessment and 70% Final Exam
Students are required to achieve 100% in each online Quiz before the deadline. (Summative)
Students complete 1 CA test based on these online Quizzes, (Summative)
Repeat Assessments
Repeat Continuous Assessment and/or Final Exam
Indicative Syllabus
Analyse and sketch polynomial functions of a linear, quadratic and cubic nature. Discuss real world applications of these functions
- Solving linear and quadratic functions
- Sketching linear quadratic and cubic curves,
- Real world applications of these.
Analyse and sketch functions of a sinusoidal and rational nature. Discuss real world applications of these functions
- Basic trigonometry
- Unit circle
- Sketching and analysing Sine waves
- Rational functions
- Real world applications of these.
Analyse and sketch functions of a logarithmic and exponential nature. Discuss real world applications of these functions
- Exponential growth and decay in Science
- Sketching exponential and log functions
- Using the log laws to solve logarithmic equations
- pH & dB calculations.
Use differential Calculus to analyse max/min curves and solve optimisation problems.
- Differential Calculus
- From first principles
- By rule
- Max/min problems
- Analysing max/min curves
Identify different types of data and use appropriate tables and curves to analyse data sets.
- Characteristics of data
- Measures of central tendency and dispersion
- Frequency distribution and cumulative frequency tables
- Charts, histograms and ogives.
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
30 %
End of Semester / Year Formal Exam
70 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Moodle quizzes | Coursework Assessment | Assessment | 10 % | OnGoing | 1,2,3,4,5 |
| 2 | CA test | Coursework Assessment | Assessment | 20 % | Week 10 | 1,2,3,4 |
End of Semester / Year Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Final Exam | Final Exam | Closed Book Exam | 70 % | End of Term | 1,2,3,4,5 |
Full Time Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Lecture | Tiered Classroom | Lecture | 2 | Weekly | 2.00 |
| Tutorial | Flat Classroom | Maths practical | 1 | Weekly | 1.00 |
| Independent Learning | Not Specified | Self Study | 4 | Weekly | 4.00 |
Total Full Time Average Weekly Learner Contact Time 3.00 Hours
Required & Recommended Book List
Required Reading
2012-09-06 Maths for Science OUP Oxford
ISBN 0199644969 ISBN-13 9780199644964
2012-09-06 Maths for Science OUP Oxford
ISBN 0199644969 ISBN-13 9780199644964
Maths for science. 401pp. Good clean condition.
Module Resources
Non ISBN Literary Resources
Maths for Science - Jordan, Ross & Murphy OUP
Foundation Maths - Anthony Croft & Robert Davison- Pearson Press.
Journal Resources
None
URL Resources
Mathematics for Science (Semester 2) - Moodle site.
Maths Learning Centre IT Sligo
www.mathtutor.ac.uk online videos and tutorials relating to many topics on the module.
Other Resources
None
Additional Information
None