INL0111 : Mathematics for Business
- Offered for Year: 2018/19
- Module Leader(s): Dr Shihan Miah
- Owning School: Newcastle University London
- Teaching Location: London
|Semester 1 Credit Value:||10|
|Semester 2 Credit Value:||10|
The module is designed to raise student awareness and competence in mathematical and statistical operations such that they will be able to cope with the numeracy demands of an undergraduate business degree at Newcastle University or other UK HEI. It is also targeted at raising student awareness of the English nomenclature involved in mathematics and statistics at this level as many students will be mathematically competent but uncertain about the terminology/lexis used in a UK context. The module’s specific aims are:
• To equip students with the skills in mathematics and statistics required for entry to a Business School programme at Newcastle University, roughly equivalent to grade B at GCSE.
• To focus students on mathematical concepts and principles through English
• To develop student independence in applying mathematical knowledge in preparation for research and project-related tasks
Outline Of Syllabus
Basic Number Theory – limits of accuracy; approximation; ratios; percentages; correlation; area; volume; linear programming.
Algebra – symbolic representation in order to solve problems; functions, linear and quadratic equations; equation solving, basic differentiation.
Graphs – scatter, line, bar, histograms, relationship between equations and graphs, gradients of lines.
Statistics and Probability – Basic data handling and summary statistics, averages (mean, mode, median), measures of spread (variance, standard deviation), introduction to probability, types of distribution, simple regression analysis.
Use of Excel to produce basic statistical data
|Scheduled Learning And Teaching Activities||Lecture||24||1:00||24:00||N/A|
|Guided Independent Study||Assessment preparation and completion||1||110:00||110:00||N/A|
|Scheduled Learning And Teaching Activities||Small group teaching||24||2:00||48:00||N/A|
|Scheduled Learning And Teaching Activities||Workshops||18||1:00||18:00||N/A|
Teaching Rationale And Relationship
Lectures are used to introduce concepts and techniques. In this area practice is crucially important, hence the number of seminar hours, which will be devoted largely to problem solving and practice in a safe and supervised atmosphere. The Study Clinics provide an opportunity for particular problems to be addressed in smaller groups. Some of the seminar sessions should take place in a computer lab in order to allow students to use software packages to undertake analysis.
The format of resits will be determined by the Board of Examiners
|Prob solv exercises||1||M||20||Problem solving tasks developing semester 1 skills learnt|
|Prob solv exercises||2||M||10||Problem solving tasks developing semester 2 skills learnt|
|Written exercise||2||M||10||Data handling exercise involing sampling, analysis and interpretation of results.|
Assessment Rationale And Relationship
Class tests are used in semester 1 to check on students’ progress and provide them with feedback on how they are doing. These provide the most efficient and sensible way of testing mathematical skills and problem solving. The semester 2 project requires not only analysis and the opportunity to use Excel, but also some explanation of the significance of the data analysed. This tests not only students’ skills at carrying out calculations and using IT packages, but also their ability to explain in words the significance of the data and their analysis of it. The final piece of assessment in as unseen exam at the end of the module. This is an appropriate test of skills in this area and will help prepare students for unseen examinations on maths and stats at stage 1.