Module Descriptors
BUSINESS DECISION TECHNIQUES
XXAT50318
Key Facts
Digital, Technology, Innovation and Business
Level 5
15 credits
Contact
Leader: David Dyke
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
  • ASSIGNMENT weighted at 50%
  • EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
Module Details
Module Additional Assessment Details
An ASSIGMT weighted at 50%. An EXAM length 2 HOURS weighted at 50%.

1. An assignment requiring the modelling and analysis of business problems using appropriate techniques and/or a spreadsheet to provide suitable solutions. 50% (Learning outcomes 1, 2, & 3)
2. A 2-hour examination. 50% (Learning outcomes 1 & 2)
Module Indicative Content
This module is aimed at providing key quantitative analytical and decision making techniques appropriate to business.

Financial calculations including compound Interest, APR, and Loans.
Investment appraisal techniques including NPV and IRR.
Model problems graphically and algebraically including breakeven analysis and supply and demand problems.
An introduction to linear programming.
Index numbers including weighted aggregative indices and index deflation.
Applications of probability including decision-making and decision trees.
Time series and forecasting.
Linear correlation and regression.
Use of a spreadsheet to aid problem solving in the relevant previous topics.
Module Learning Strategies
The learning strategies will require students to commit to 150 learning hours, of which 36 hours will consist of contact time. A combination of lectures and tutorials/workshops will provide students with the opportunity to develop a range of modelling, analytical, and decision-making skills. Typically there will be 24 hours of lectures and 12 hours of tutorial/practical time.
A further 114 hours of independent study will require students to further develop and practise these skills using a combination of formative and summative assessment exercises.
Module Resources
Spreadsheet, e.g. Excel
Module Special Admissions Requirements
Knowledge of basic algebra and graphical work.
Module Texts
For background reading only:
1. J Curwin & R Slater Quantitative Methods for Business Decisions (2002) Thomson Learning, 1861525311
2. L Swift Quantitative Methods for Business, Management & Finance (2005) Palgrave MacMillan, 1403935289
3. C Morris Quantitative Approaches in Business Studies (2002) Prentice Hall, 0273657593