Module Details

Module Code: ZMTS C1101
Module Title: Quantitative Methods 1
Title: Quantitative Methods 1
Module Level:: 6
Credits:: 5
Module Coordinator: Paula Rankin
Module Author:: Martina O'Gorman
Domains:  
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.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# 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.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
 
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.
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.
Statistics
Sampling, data collection, analysis and presentation. Frequency distributions, histogram, ogive, boxplots, scatter plots, measures of central tendency and dispersion.
Probability
Fundamentals of probability. Laws of probability. The Binomial Distribution.
Practicals
Computer based mathematics support. Information & Communications Technology: ICT Theory. Referencing and software applications. Team presentations on a science related mathematical/ICT topic.
Module Content & Assessment
Assessment Breakdown%
Continuous Assessment70.00%
Practical30.00%

Assessments

Full Time

Continuous Assessment
Assessment Type Examination % of Total Mark 70
Timing n/a Learning Outcomes 1,2
Non-marked No
Assessment Description
In-class assessments
No Project
Practical
Assessment Type Practical/Skills Evaluation % of Total Mark 30
Timing n/a Learning Outcomes 1,2,3
Non-marked No
Assessment Description
Computer based assignments, in-class assessments, teamwork project and presentations.
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.

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 Contact Computer Practical 12 Weeks per Stage 1.00 12
Estimated Learner Hours Non Contact Independent learninig 15 Weeks per Stage 5.13 77
Total Weekly Contact Hours 4.00
 
Module Resources
Recommended Book Resources
  • ANTHONY. DAVISON CROFT (ROBERT.),Robert Davison. (2020), Foundation Maths, 7. Pearson, [ISBN: 9781292289687].
  • Allyn J. Washington,Richard Evans. (2017), Basic Technical Mathematics with Calculus, 11. Pearson, p.1192, [ISBN: 9780134463131].
  • Tim Sandle. (2013), Data Review and Analysis for Pharmaceutical Microbiology, 1st. Microbiology Solutions, [ISBN: 9781492235217].
  • Alan J Cann. (2003), Maths from Scratch for Biologists, Wiley, [ISBN: 978-0-471-498].
Supplementary Book Resources
  • 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
Other Resources
Discussion Note: