Module Provider: |
Economics |
Number of credits: |
40 [20 ECTS credits] |
Level: |
0 |
Terms in which taught: |
Autumn, Spring and Summer |
Module Convenor: |
Mrs
SD
Peel |
Pre-requisites: |
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Co-requisites: |
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Modules excluded: |
MA0MAA
|
Current from: |
2005/6 |
Aims:
To provide a solid grounding in the key elements of pure mathematics and statistics to a good A-level standard for students approaching a degree in economics, finance or management.
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Assessable learning outcomes:
By the end of the module it is expected that the student will be able to:
handle with confidence and accuracy the techniques of algebra required for the solution of equations, differentiation and integration
interpret a range of problems, selecting the relevant procedure needed for solution
find a graphical solution to linear programming and economic questions
recognise Normal and Binomial distributions and be able to calculate probabilities associated with them |
Additional outcomes:
Students are expected to learn to work independently under pressure of time and present their solutions orally in a small group context. They should grow in confidence in the oral as well as written explanation of problems, and encounters with other students' trains of thought should encourage lateral thinking. They should hone their ability to think lucidly, assess the essential elements of a solution and express that lucidly. |
Outline content:
The syllabus for Mathematics for Management normally covers a total of 15 or 16 topics each of which takes between one and three weeks to complete. We start with the basic concepts of algebra and number theory moving on to set theory and inequalities. A study of functions and mappings, including composite and inverse functions, leads on to linear analysis and linear programming. This is followed by the calculus needed for maximisation and minimisation applications of the economic model. Permutations and combinations, together with probability theory usually complete this term.
During the second term, calculations with matrices are introduced. Graphical representation of curves is studied where differential calculus is applied to the theory of curve sketching. Methods of integration are also studied at this point, and the binomial distribution is introduced. We then study arithmetic and geometric progressions which lead on to compound interest applications. The module is completed in the Summer term by a study of the Normal distribution and the principles of hypothesis testing. |
Brief description of teaching
and learning methods:
Lectures, group seminars and small group tutorials. |
Contact hours:
| |
Autumn |
Spring |
Summer |
| Lectures |
2 per week |
2 per week |
2 per week |
| Tutorials/seminars |
2 seminars and 1 tutorial per week |
2 seminars and 1 tutorial per week |
2 seminars and 1 tutorial per week |
| Practicals |
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| Other contact (eg study visits) |
Surgery hour for individual assistance |
Surgery hour for individual assistance |
Surgery hour for individual assistance |
| |
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| Total hours |
50 |
50 |
50 |
| |
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| Number of essays or assignments |
Fortnightly mathematical exercises |
Fortnightly mathematical exercises |
Fortnightly mathematical exercises |
| Other (eg major seminar paper) |
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Assessment:
Coursework: None
Relative percentage of coursework : N/A
Examinations
One three hour and one two hour written examination papers.
Requirements for a pass
40%
Reassessment arrangements
By examination in September. |
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