Full Title:Business Mathematics
Module Code:MATH B7009
 
Credits: 5
Valid From:Semester 1 - 2013/14 ( September 2013 )
Module Delivered in 3 programme(s)
Module Description:The course aims to provide the student with an understanding of the basic numerical concepts and techniques relevant to the analysis of data in a business environment.
Learning Outcomes:
On successful completion of this module the learner should be able to
  1. Understand the concepts of a census and a sample and recognise different types of data.
  2. Present and summarise statistical data using suitable tables and statistical graphs.
  3. Analyse and draw conclusions from statistical data using measures of Central Tendency and Dispersion.
  4. Use statistical techniques (Regression, Correlation and Time Series) to explore patterns within financial figures and use them to get realistic projections for business data.
  5. Calculate the various types of Price and Quantity Indices and interpret the effects of inflation on data over time.
 

Module Content & Assessment

Indicative Content
Statistics
Generating tables,constructing graphs. Calculating and interpreting measures of Central Tendency (Mean, Mode, Median) and Dispersion (Standard Deviation and Inter-Quartile Range)
Regression & Correlation
Generating Linear Regression models graphically and algebraically and using them to obtain realistic business estimates. Using Correlation to decide on the strength of a connection between two sets of statistical data.
Time Series Modelling
Identifying patterns in time related data. Finding Trends and Seasonal Variations within the data and using them to generate suitable prediction models. Using the models to project future business figures.
Index Numbers
Understanding how to calculate and interpret simple index relatives. How to generate both fixed base and chain base index numbers over a period of time. Being able to rebase a fixed base index. Understand how to deflate business figures. Being able to generate weighted and aggregate indices.
Assessment Breakdown%
Course Work100.00%

Full Time

Course Work
Assessment Type Assessment Description Outcome addressed % of total Marks Out Of Pass Marks Assessment Date Duration
Class Test 1 hour written class examination 1,2,3 40.00 0 0 Week 5 0
Class Test 1 hour written class examination 4 20.00 0 0 Week 8 0
Class Test 1 hour written class examination 4 20.00 0 0 Week 11 0
Class Test 1 hour class examination 5 20.00 0 0 Week 14 0
No Project
No Practical
No End of Module Formal Examination
Reassessment Requirement
No repeat examination
Reassessment of this module will be offered solely on the basis of coursework and a repeat examination will not be offered.

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

 

Module Workload & Resources

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 3.00 Every Week 3.00
Directed Reading No Description 3.00 Every Week 3.00
Independent Study No Description 3.00 Every Week 3.00
Total Weekly Learner Workload 9.00
Total Weekly Contact Hours 3.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 2.00 Every Week 2.00
Directed Reading No Description 4.00 Every Week 4.00
Independent Study No Description 3.00 Every Week 3.00
Total Weekly Learner Workload 9.00
Total Weekly Contact Hours 2.00
Resources
Recommended Book Resources
  • Andre Francis 2005, Business Mathematics and Statistics, sixth Ed., 1,2,3,4,5, Thomson Learnin UK
Supplementary Book Resources
  • Lind, Marchal and Wathen 2003, Basic Statistics for Business & Economics, Fourth Ed., 1,2,3,12, McGraw-Hill USA
  • Booth and Turner 1996, Business Mathematics with Statistics, First Ed., 11,12,13,14,15, Pitman UK
  • Louise Swift 2001, Quantitative Methods, First Ed., DD1,DD2,S3,S4, Palgrave USA
This module does not have any article/paper resources
This module does not have any other resources

Module Delivered in

Programme Code Programme Semester Delivery
DK_BBSMA_D Bachelor of Business in Business and Management 1 Mandatory
DK_BBSMA_C(?) Higher Certificate in Business in Business and Management 1 Mandatory
DK_KCOMB_6 Higher Certificate in Science in Computing and Business 2 Mandatory