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Description

Mathematics for Business

Module titleMathematics for Business
Module codeINT0034
Academic year2021/2
Credits20
Module staff

Joaquin Navarrete Navarro (Convenor)

Duration: Term123
Duration: Weeks

10

Number students taking module (anticipated)

100

Description - summary of the module content

Module description

It is essential for a manager in today’s business environment to be able to interpret statistical data and present statistical information. In this module you will learn how to describe, understand and present situations graphically and how to draw conclusions from such representations. You will learn how to carry out essential business calculations that are common in your business studies modules and how to make the best decision from a set of different possibilities.

Module aims - intentions of the module

This module aims to provide a foundation in mathematics and data handling methods for students who intend to follow a degree programme in Management or Accounting. Students will be expected to manage their time successfully in order to complete a series of coursework and other tasks.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

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

  • 1. Demonstrate an understanding of basic numerical principles
  • 2. Apply basic algebraic techniques
  • 3. Draw and interpret graphs and other statistical diagrams
  • 4. Apply mathematical techniques to a range of real-life situations
  • 5. Select the optimal solution to a business-related problem

ILO: Discipline-specific skills

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

  • 6. Carry out calculations necessary for the discipline studied
  • 7. Manipulate formulae appropriate to the discipline studied
  • 8. Present and interpret data in an appropriate manner for the discipline studied

ILO: Personal and key skills

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

  • 9. Analyse, interpret and illustrate data using a variety of techniques
  • 10. Collect data avoiding common mistakes
  • 11. Select the correct tools and functions to handle data, find information from it and develop tables/charts in appropriate software

Syllabus plan

Syllabus plan

1.   Number: fractions, decimals, percentages, mixed numbers, approximation, decimal places, significant figures, currency conversion, percentage change, indices.

2.   Algebra: multiplication, factorization, substitution, rearranging formula, solving equations, linear inequalities.

3.   Coordinate geometry: equation of a straight line, quadratic curves, translations of curves.

4.   Linearly Constrained Optimisation.

5.   Series: sigma notation, arithmetic, geometric progressions, compound interest problems.

6.   Probability: Simple events with or without replacement, Venn diagrams, Tree diagrams.

7.   Statistics: the statistical process, population and sample.

Data collection methods, Sampling methods, sampling error.

Organisation of data, tally charts, frequency tables.

Comparison of data sets and drawing conclusions.

Measures of location, Measures of dispersion, outliers.

Presenting data: Moving averages, trend lines, Stem and leaf diagrams, Gantt charts, Bar charts, Pie charts, Box and Whisker diagrams, Histograms, Cumulative frequency graphs, Scatter graph.

8. The normal distribution

 

 

Learning and teaching

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

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
60140

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled Learning and Teaching activities60Small group lessons, including lectures, examples, practice and use of computing techniques.
Guided independent Learning140Study written notes, practise examples, use resources supplied on ELE and other on-line learning material.

Assessment

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Practice online final exam quiz2 hours1-10Verbal and answers on ELE

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
30700

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Coursework assignments30Several online Computer Marked Assessments (usually 3) and Coursework (usually 2) each taking approximately 3 hours1-11Online feedback
Final Examination (open book)702 hour online quiz1-10Written feedback on formally submitted request

Re-assessment

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

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
ExaminationsExamination (2 hour online quiz)1-11Next assessment period

Re-assessment notes

Deferral – if you miss an assessment for reasons judged legitimate by the Mitigation Committee, the applicable assessment will normally be deferred. See ‘Details of reassessment’ for the form that assessment usually takes. When deferral occurs there is ordinarily no change to the overall weighting of that assessment.

Referral – if you have failed the module overall (i.e. a final overall module mark of less than 40%) you will be required to take a re-sit exam. Only your performance in this exam will count towards your final module grade. A grade of 40% will be awarded if the examination is passed.

Resources

Indicative learning resources - Basic reading

Basic reading:

 

Croft A., et al: Mathematics for Business. Harlow: Pearson 978-1-78764-534-9

 

Croft A. and Davison R. Foundation Maths. London: Pearson 987 1 292 095172

 

Attwood G., et al: Statistics and Mechanics: Edexcel AS and A level Mathematics. London: Pearson978 1 292 232539

Attwood G., et al: Pure Mathematics: Edexcel AS and A level Mathematics. London: Pearson978 1 292 183398

Indicative learning resources - Web based and electronic resources

ELE – http://vle.exeter.ac.uk/course/view.php?id=7308

Module has an active ELE page

Indicative learning resources - Other resources

Other resources: www.Integralmaths.org

www.mathcentre.ac.uk 

Key words search

Mathematics for Business, Statistics, Data handling, Algebra, Number, Optimisation, Series, Compound Interest.

Credit value20
Module ECTS

10

Module pre-requisites

None

Module co-requisites

None

NQF level (module)

3

Available as distance learning?

Yes

Origin date

08/05/2018

Last revision date

30/07/2021