Mathematics and Statistics for University Study - LZ013

Location Term Level Credits (ECTS) Current Convenor 2017-18 2018-19
Canterbury
(version 3)
Autumn and Spring
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3 30 (15) MR L Gonidis
Canterbury
(version 3)
Spring and Summer
View Timetable
3 30 (15) MR L Gonidis

Pre-requisites

Spring Start Accelerated Programme:

Co-requisite modules include: LZ036 Academic Skills Development (15 credits) and LZ035 Foundation Project (15 credits) OR LZ037 English for Academic Study (15 credits) along with two other 30 credit modules on the International Foundation Programme.
Autumn Start Programme:
Co-requisite modules include: LZ036 Academic Skills Development (15 credits) and either LZ035 Foundation Project (15 credits) OR LZ037 English for Academic Study (15 credits), along with two other 30 credit modules on the International Foundation Programme.

This module is available for JYA students.

Restrictions

None

2017-18

Overview

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.

Details

Contact hours

Contact hours per week:

Spring Start: Two hours of lecture, two hours of seminar, one hour of workshop per week over 10 weeks in the Spring Term, 10 weeks in the Summer Term (50hrs). Four hours of lecture, two hours of seminar per week over 2 weeks of intensive revision time in the summer vacation. In addition, students will be expected to spend 200 hours in private study per week over the 20 weeks. The total number of hours equals 300.
September Start: Two hours of lecture, one hour of seminar and one hour of workshop per week over 11 weeks in the Autumn & 11 weeks in the Spring Term (88hrs). In addition, students will be expected to spend 204 hours in private study over the 24 weeks. The total number of study hours equals 300.

Method of assessment

Coursework will account for 60% of the overall mark, consisting of:

Term One:
Written Assignment (1,000 words) (15%)
In Course Test (45 minutes) (15%)

Term Two:
Written Assignment (1,500 words) (25%)
Seminar Participation (over two terms) (5%)
Final Examination of both terms' work will account for 40% of the overall mark (2 hours)

Preliminary reading

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)

See the library reading list for this module (Medway)

Learning outcomes

By the end of the course students will be able to:
1. Demonstrate their existing mathematical and quantitative skills, independent of their entry level.(MSOR 3.9) [1, 7, A4, B7, C15]
2. Demonstrate their knowledge of basic algebraic manipulations. (MSOR 3.9) [5, 7, A4, B7, C15]
3. Understand the fundamentals of differential calculus. (MSOR 3.9) [7, A4, B7, C15]
4. Understand the nature of matrices and apply them to numerical examples. (MSOR 3.9) [4, 5, 9, A4, B7, C15]
5. Sketch graphs of simple functions. (MSOR 3.9)(MSOR 1.17) [7, A4, B7, C15]
6. Understand the meaning and application of simple ideas in probability. (MSOR 3.9)(MSOR 2.20) [4, 5, 7, A4, B7, C14, C15]
7. Use descriptive statistical measures to interpret real-life data. (MSOR 3.9)(MSOR 2.20) [4, 5, 7, 8, 9, B7, C14, C15, C18]
8. Understand and apply statistical inference to simple examples. (MSOR 3.9) [5, 7, 8, 9, B7, C14, C15, C18]
9. Demonstrate their reinforced mathematical and quantitative skills. (MSOR 3.9) (MSOR 2.20) [5, 7, 9, A4, B7, C14, C15, C18]
10. Understand various mathematical techniques for future study at a UK university. [7, 9, A4, B7, C14, C15]
11. Demonstrate logical thinking and independent study skills.(MSOR 3.25)(MSOR 3.9) [5, 7, 8, 9, A4, B7, C14, C15, C18, D25]

MSOR 1.17 collecting, analysing and interpreting data
MSOR 2.20 programmes also contain probability theory and the fundamentals of statistics
MSOR 3.25 graduates' experiences will be embedded in a general ethos of numeracy and of analytical approaches to problem solving
MSOR 3.9 Common ground for all programmes will include basic calculus and basic linear algebra. Other methods and techniques will be developed according to the requirements of the programme, which will also largely determine the levels to which the developments are taken.

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