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Module Title LH Quantitative Management Techniques
SchoolBirmingham Business School
Department Birmingham Business School
Module Code 07 15827
Module Lead Dr A C Boucher FRSA
Level Honours Level
Credits 10
Semester Semester 1
Pre-requisites
Co-requisites
Restrictions Available to Graduate Diploma in Business Administration, MBA 24mth Masters, MBA IBF 24mth Masters students as a compulsory module
Contact Hours Lecture-0 hours
Seminar-0 hours
Tutorial-0 hours
Project supervision-0 hours
Demonstration-0 hours
Practical Classes and workshops-0 hours
Supervised time in studio/workshop-0 hours
Fieldwork-0 hours
External Visits-0 hours
Work based learning-0 hours
Guided independent study-0 hours
Placement-0 hours
Year Abroad-0 hours
Exclusions
Description The module falls into two complementary parts: The Data Analysis component aims to familiarise students with statistical methods and their application to business and economic problems. In addition to lectures and conventional tutorials students will be expected to learn to use simple software packages in the computer laboratories. EXCEL will be the basis for this, although reference will be made to other, more specialised applications. The techniques should assist students later in analysing quantitative information relating to the environment in which business operates (e.g. in Marketing and strategic management) and also in assisting decision making in business problems (Marketing again and Operations Management, for example). The second, Special Topics, component examines the use of mathematics in model building to assist in decision-making and in understanding some fundamental aspects of market economics. This should reinforce work done in the International Business Economics and operations management courses in the first year and will provide students with some very important basics which are absolutely necessary for Finance courses in both years. The EXCEL package will assist in routine calculations, as will more specialised applications to aid modelling and decision-making.
Learning Outcomes This course equips students with the mathematical techniques commonly used and necessary for business financial and economic analysis. The course is more than a 'stand-alone' since most of the techniques will be used or developed in other courses during both the first and second years of the programme.
Assessment 15827-05 : Coursework : Coursework (50%)
15827-07 : Exam : Exam (Centrally Timetabled) - Written Unseen (50%)
Assessment Methods & Exceptions 3 hr written examination 50%, assessed work 50%
Other
Reading List Lind, Marchal & Walthen. 2004. Statistical Techniques in Business and Economics. 12th ed. McGraw-Hill.
Levine, Stephan, Krehbiel & Berenson. 2005. Statistics for Managers Using Microsoft Excel. 4th ed. Pearson Education (Prentice Hall). OR
Bowerman & O'Connell. 2003. Business Statistics in Practice. 3rd ed. McGraw-Hill. OR