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Fast Track Mathematics and Statistics

Module title	Fast Track Mathematics and Statistics
Module code	INT0085
Academic year	2025/6
Credits	30
Module staff

Duration: Term	1	2	3
Duration: Weeks			15

Number students taking module (anticipated)	10

Module description

How can you record and manipulate the quantities of different goods in your company warehouse? How can you find out whether your rival company is telling the truth about their products without taking them all to pieces? How high will your fireworks go before they turn and fall back onto the amazed onlookers? How does changing one small thing affect all the other things dependent on it? Mathematics is used to answer these questions. In this module you will learn how to describe, understand and represent situations both graphically and algebraically and draw conclusions from these. You will learn how to manipulate and solve different types of equations to find unknown values, how to make decisions and how to find the best decision from a set of different possibilities.â?¯ Students taking this course should already have good knowledge of mathematics which will be checked at the beginning of the course.â?¯

Module aims - intentions of the module

This module aims to provide a foundation in mathematics for students who intend to follow a degree programme in the area of Economics, Computer Science, Engineering, Psychology, Science, Medicine or other related disciplines.â?¯

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

• 1. Demonstrate an understanding of standard mathematical notation
• 2. Use mathematical methods to solve problems requiring the use of algebraic techniques?
• 3. Demonstrate understanding of and apply mathematical techniques in calculus
• 4. Demonstrate understanding of and apply statistical techniques
• 5. Manipulate polynomial, logarithmic and exponential functions

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

• 6. Demonstrate understanding of mathematical principles required in business and scientific disciplines
• 7. Construct and solve mathematical models representing situations in the business and scientific worlds
• 8. Use the results of calculations to make predictions and interpret answers

ILO: Personal and key skills

On successfully completing the module you will be able to...

• 9. Describe, analyse and interpret sets of data
• 10. Illustrate data using a variety of techniques including graphical presentations

Syllabus plan

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching Activities	Guided independent study	Placement / study abroad
75	225

Details of learning activities and teaching methods

Category	Hours of study time	Description
Scheduled Learning and Teaching activities	75	Small group lessons, including lectures, examples, practice and use of computing techniques. Working on problem solving activities and online activities.
Guided Independent Learning	225	Study of written notes, practice examples, using resources supplied on ELE and other online learning material.

Formative assessment

Form of assessment	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Class Exercises and Activities	20 hours	1-10	Verbal and answers on ELE
Formative Course Assignment	2 hours (estimated)	4, 6-10	Online feedback and sample answers after submission
Mock Final Examination	1 hour	1-10	Written

Summative assessment (% of credit)

Coursework	Written exams	Practical exams
40	60	0

Details of summative assessment

Form of assessment	% of credit	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Coursework Assignment	40	2 hours (estimated)	1-2, 4, 6-10	Written and verbal
Final Examination	60	2 hours	1-10	Written
	0
	0
	0
	0

Details of re-assessment (where required by referral or deferral)

Original form of assessment	Form of re-assessment	ILOs re-assessed	Timescale for re-assessment
Coursework Assignment	See ‘details of summative assessment’	1-2, 4, 6-10	Next assessment opportunity
Final Examination	Examination (deferral)	1-10	Next assessment opportunity
N/A	Referral Examination	1-10	Next assessment opportunity

Re-assessment notes

Indicative learning resources - Basic reading

Indicative learning resources - Web based and electronic resources

Key words search

Mathematics, Statistics, Probability, Algebra, Calculus, Numerical solutions, Functions, Logarithms, Exponentialsâ?¯â?¯ 

Credit value	30
Module ECTS	15
Module pre-requisites	None
Module co-requisites	None
NQF level (module)	3
Available as distance learning?	No
Origin date	03/03/2025
Last revision date	12/0/2025