Programme And Module Handbook
 
Course Details in 2017/18 Session


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Module Title LC Advanced Analytical Techniques for Business
SchoolBirmingham Business School
Department Birmingham Business School
Module Code 07 26361
Module Lead Rob Fleming
Level Certificate Level
Credits 20
Semester Full Term
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-44 hours
Seminar-22 hours
Tutorial-1 hours
Practical Classes and workshops-8 hours
Guided independent study-125 hours
Total: 200 hours
Exclusions
Description The role of this module is to develop skills that students will require elsewhere on the programme and in business. The module consists of the following:

Semester 1 concerns the application of mathematics to a range of finance, accounting and business problems, including savings accumulation, loan repayment, project evaluation, depreciation and linear programming, project planning and inventory control.

Semester 2 is an introduction to Statistics: Descriptive statistics and frequency distributions. Discrete probability distributions; Continuous distributions: the Normal and exponential distribution. Interval estimation. Simple hypothesis testing. Correlation and simple regression.

Also included is the use of relevant Excel functions and routines.
Learning Outcomes By the end of the module students should be able to:
  • Execute a range of financial calculations;
  • Formulate and solve Linear Programming problems;
  • Solve a basic inventory model;
  • Calculate and comment upon summarising statistics and plot appropriate graphs and charts;
  • Use and interpret discrete and continuous probability distributions;
  • Apply the basic principles of hypothesis testing;
  • Carry out simple correlation and regression analysis.
Assessment 26361-01 : Exam : Exam (Centrally Timetabled) - Written Unseen (60%)
26361-02 : Multiple Choice Test : Class Test (15%)
26361-03 : Excel Data Test : Class Test (25%)
Assessment Methods & Exceptions Assessments: 2 hour exam (60%), Coursework (1) Multiple Choice test (15%), Coursework (2) Excel data summary task in semester 2 (25%)

Re-assessed by a 2 hour written exam (100%).
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