|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||2 x 1-hour in-course tests, each held during a lecture period. (25% each) in-course assessment:||50%|
|Semester Exam||2 Hours (written examination)||50%|
|Supplementary Assessment||2 Hours [The mark for any passed component of the semester assessment (in-course tests and written examination) is carried forward; 2-hour written examination (remaining percentage).]||100%|
On completion of this module, students should be able to:
- apply formulae involving percentages, interest and rates of change to solve financial problems;
- formulate simple quantitative problems and solve them;
- recognise and analyse trends and patterns;
- calculate probabilities and make appropriate decisions;
- interpret, and draw inferences from, summarised data and diagrams;
- use basic logic to make inference from a set of statements.
The module will enhance a student's employment prospects through developing proficiency in the application of quantitative skills. The module is designed for students pursuing degree schemes with little or no mathematical content. Students are not expected to have formal mathematical training beyond GCSE level. Techniques covering quantitative skills, problems of everyday finance, interpreting data, and logical reasoning will be taught using appropriate case studies.
- To enhance a student's employment prospects through developing proficiency in the application of quantitative skills.
- To develop elementary techniques in formulating and solving problems and in interpreting summarised data.
- To apply quantitative techniques to problems of everyday finance.
- To develop basic logical reasoning.
- Mathematical notation, fractions and decimals, ratios and percentages.
- Simple and compound interest, instalment buying, annuities and mortgages.
- Exponential growth, logarithms.
- Manipulating formulae, applications, proportionality.
- Graphs of linear and quadratic functions.
- Simple logic, truth tables.
- Chance and probability, elementary rules, conditional probability and independence, tree diagrams, sampling with and without replacement, expected values and decision making.
- Interpreting tables and diagrams, multiple bar charts, summary statistics, box and whisker plots, scatter plots.
- Interpretation of computer output; one and two sample confidence intervals, fitted lines and curves.
This module is at CQFW Level 4