Programme And Module Handbook
 
Course Details in 2017/18 Session


If you find any data displayed on this website that should be amended, please contact the Curriculum Management Team.

Module Title LC Analytical Techniques for Business
SchoolBirmingham Business School
Department Birmingham Business School
Module Code 07 26362
Module Lead Rob Fleming
Level Certificate Level
Credits 20
Semester Full Term
Pre-requisites
Co-requisites
Restrictions A basic module, requiring GCSE higher level maths, or less than Grade C in A/AS level maths.
Contact Hours Guided independent study-125 hours
Practical Classes and workshops-8 hours
Tutorial-1 hours
Seminar-22 hours
Lecture-44 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 is designed provide a solid mathematical foundation. It includes numeracy, algebra, exponents, linear equations, polynomial functions, differential calculus; slope, and maxima and minima, functions of more than one variable, exponential functions, and financial mathematics.

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:
  • Calculate percentages and ratios;
  • Solve exponent problems in financial mathematics;
  • Differentiate functions and find maxima and minima;
  • Solve problems with linear equations and inequalities;
  • 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 26362-01 : Exam : Exam (Centrally Timetabled) - Written Unseen (60%)
26362-02 : Multiple Choice Test : Class Test (15%)
26362-03 : 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%).
Other Duplicate version of this module delivered in Dubai: 07 30474
Reading List