Module Title:Quantitative Methods
Language of Instruction:English
Credits: 10
NFQ Level:6
Module Delivered In 6 programme(s)
Teaching & Learning Strategies: This module will be taught in three theory classes of one hour duration and one computer lab practical of one hour per week. Teaching will be supported with examples which will be worked through in class. Students will be expected to complete problem-sheets to re-enforce learning. Delivery of the computing module will involve practical assignments, group work and the use of mathematics support software.
Module Aim: The aim of this module is to develop the students’ numerical skills and provide them with the mathematical and computing skills required by other subjects on the course.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Perform the calculations required by scientific disciplines.
LO2 Identify, analyse and present statistical information.
LO3 Solve problems involving basic probability.
LO4 Solve single variable calculus problems.
LO5 Contribute as an effective team member to successful completion of a group project using ICT tools to represent, share and present information on a scientific topic.
LO6 Demonstrate an ability to use computer software packages to support work in this and other subjects.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed

Module Content & Assessment

Indicative Content
Section 1
Basic arithmetic and algebra, numbers and operations, priorities in calculation use of electronic calculators.
Section 2
Indices and logarithms, the exponential constant and natural logarithms.
Section 3
Significant figures and decimal places, rounding of numbers, error analysis.
Section 4
Functions and graphs, polynomial functions, solution of equations both algebraically and graphically, solution of simultaneous equations, matrices and determinants, Cramer's Rule and determination of laws from experimental data.
Section 5
Basic trigonometry, angles, sines, cosines, tangents and their graphs.
Section 6
Statistics, sampling, basics of data collection analysis and presentation, Tukey’s stem and leaf analysis, frequency distributions, histogram, ogive, measures of location and spread, mean, median and mode, standard deviation.
Section 7
Probability, experiments and outcomes, sample space, events, definition of probability and some laws of probability, binomial probability law.
Section 8
Calculus, rate of change, rules of differentiation, finding maxima and minima, practical problems in dy/dx, integration rules and finding areas and volumes.
Practical 1
Mathematics Support Software
Practical 2
Information & Communications Technology: ICT Theory. Referencing, Document Sharing, Word Processing, Spreadsheets and Presentations.
Assessment Breakdown%
Continuous Assessment30.00%
End of Module Formal Examination40.00%
Special Regulation
Students must achieve a minimum grade (35%) in both the practical/CA and final examination.
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Examination In-class assessments 1,2,3,4 30.00 n/a
No Project
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Computer based assignments, in-class assessments, teamwork project and presentations. 5,6 30.00 Sem 1 End
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam 3 hour examination 1,2,3,4 40.00 End-of-Semester

ITCarlow reserves the right to alter the nature and timings of assessment


Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture 30 Weeks per Stage 3.00
Practicals 30 Weeks per Stage 1.00
Estimated Learner Hours 30 Weeks per Stage 2.67
Total Hours 200.00

Module Delivered In

Programme Code Programme Semester Delivery
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CW_SAASC_D Bachelor of Science in Analytical Science 1 Mandatory
CW_SABFQ_D Bachelor of Science in Biosciences 1 Mandatory
CW_SASCI_C Higher Certificate in Science in Applied Biology or Applied Chemistry 1 Mandatory