# Description

Module title Mathematics for Business INT0034 2021/2 20 Joaquin Navarrete Navarro (Convenor)
 Duration: Term Duration: Weeks 1 2 3 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

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

Module has an active ELE page

### Indicative learning resources - Other resources

Other resources: www.Integralmaths.org

### Key words search

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

Credit value 20 10 None None 3 Yes 08/05/2018 30/07/2021