Through this module, students will develop their analytical and problem solving skills to successfully complete other related modules on the IFP. The programme of study will be divided into lectures in calculus, algebra and statistics.
As part of the orientation process, students will take a pre-course test which, along with other factors, will determine whether they go into the upper or lower band. This will involve an in class test in the first week. Students will then be grouped according to their mathematical ability and academic focus. The teaching in the upper bands will be geared more towards systematically working towards a solution while that in the lower bands will deal with mathematical techniques.
Autumn Term
Total contact hours: 96
Private study hours: 204
Total Study hours: 300
Spring Term
Total contact hours: 100
Private study hours: 200
Total Study hours: 300
Main assessment methods
Cumulative Online Test 1 (15%)
Cumulative Online Test 2 (15%)
In Course Test (45 minutes) 20%
Examination, (2 hours) 50%
JYA English Plus alternative assessment in lieu of exam:
Online Test (10%)
In-Course Test 1 (45 minutes) (20%)
In Course Test 2 (45 minutes) (20%)
Reassessment methods
Reassessment Instrument: 100% coursework
Anderson, D., Sweeney, D. & Williams, T. (2005), Statistics for Business and Economics, London: South-Western.
Budnick, F.S. (1993), Applied Mathematics for Business, Economics and the Social Sciences, (4th edition). London: McGraw-Hill International Editions.
Clegg, F. (1990), Simple Statistics – A Course Book for the Social Sciences. Cambridge: Cambridge University Press.
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
Demonstrate their existing mathematical and quantitative skills, independent of their entry level.
Demonstrate their knowledge of basic algebraic manipulations.
Understand the fundamentals of differential calculus.
Understand the nature of matrices and apply them to numerical examples.
Sketch graphs of simple functions and understand the meaning and application of simple ideas in probability.
Use descriptive statistical measures to interpret real-life data.
Understand and apply statistical inference to simple examples.
Demonstrate their reinforced mathematical and quantitative skills.
Understand various mathematical techniques for future study at a UK university.
Demonstrate logical thinking and independent study skills.
The intended generic learning outcomes.
On successfully completing the module students will be able to:
Demonstrate analytical abilities in problem solving, systematic work and study skills sufficiently to be able to deal effectively with the demands of a first-year undergraduate study at a UK university.
Demonstrate critical awareness and critical-thinking skills and be able to apply these to all areas of study.
Interact with and benefit from the international classroom and learning environment in a UK higher-education context.
Comply with methods of assessment, deadlines, homework, seminars and tutorials.
Make use of the University's support services and independent study
Work and study independently.
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