Module Details
Module Code: |
ZMTS C1101 |
Module Title:
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Quantitative Methods 1
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Title:
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Quantitative Methods 1
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Module Level:: |
6 |
Module Coordinator: |
Paula Rankin
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Module Author:: |
Martina O'Gorman
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Module Description: |
The aim of this module is to provide the student with the fundamental mathematical and computing skills necessary for comprehension and progression through the field of science.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Solve a variety of mathematical problems. |
LO2 |
Identify, analyse and present statistical information. |
LO3 |
Use information communications technologies to support work in this and other subjects. |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Additional Requisite Information
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No Co Requisites listed
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Indicative Content |
Language of Maths
Greek alphabet, scientific notation, significant figures, SI units, exponents, logarithms, natural log and the exponential constant. Measurement. Ratio, direct and inverse proportion, accuracy & error analysis.
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Equations & Graphs
Manipulation of formula. Linear, non-linear, exponential and logarithmic equations. Matrix algebra, inverses, determinants, solving systems of equations using matrices. Determination of laws from experimental data.
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Statistics
Sampling, data collection, analysis and presentation. Frequency distributions, histogram, ogive, boxplots, scatter plots, measures of central tendency and dispersion.
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Probability
Fundamentals of probability. Laws of probability. The Binomial Distribution.
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Practicals
Computer based mathematics support. Information & Communications Technology: ICT Theory. Referencing and software applications. Team presentations on a science related mathematical/ICT topic.
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Module Content & Assessment
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Assessment Breakdown | % |
Continuous Assessment | 70.00% |
Practical | 30.00% |
AssessmentsFull Time
No End of Module Formal Examination |
Reassessment Requirement |
Exam Board
It is at the discretion of the Examination Board as to what the qualifying criteria are.
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SETU Carlow Campus reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time |
Workload Type |
Workload Category |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
|
Contact |
Lecture |
12 Weeks per Stage |
3.00 |
36 |
Practicals |
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Contact |
Computer Practical |
12 Weeks per Stage |
1.00 |
12 |
Estimated Learner Hours |
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Non Contact |
Independent learninig |
15 Weeks per Stage |
5.13 |
77 |
Total Weekly Contact Hours |
4.00 |
Module Resources
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Recommended Book Resources |
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ANTHONY. DAVISON CROFT (ROBERT.),Robert Davison. (2020), Foundation Maths, 7. Pearson, [ISBN: 9781292289687].
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Allyn J. Washington,Richard Evans. (2017), Basic Technical Mathematics with Calculus, 11. Pearson, p.1192, [ISBN: 9780134463131].
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Tim Sandle. (2013), Data Review and Analysis for Pharmaceutical Microbiology, 1st. Microbiology Solutions, [ISBN: 9781492235217].
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Alan J Cann. (2003), Maths from Scratch for Biologists, Wiley, [ISBN: 978-0-471-498].
| Supplementary Book Resources |
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John Murdoch,John Anthony Barnes. (1998), Statistical Tables for Students of Science, Engineering, Psychology, Business, Management, Finance, Palgrave Macmillan Limited, p.79, [ISBN: 0333558596].
| This module does not have any article/paper resources |
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Other Resources |
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Microsoft. MS Office,
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Mathcentre. Mathcentre,
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Stats Tutor,
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Desmos,
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