School of Management, Unit Catalogue 2007/08 |
MN10077 Quantitative methods and data analysis |
| Credits: 6 |
| Level: Certificate |
| Semester: 1 |
| Assessment: CW 50%, EX 50% |
| Requisites: |
| In taking this unit you cannot take MA10095 or take MN10004 |
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Aims: To introduce students to the principles of data analysis with particular reference to business applications.
Learning Outcomes: Students should be able to search for and download data from the web; convert raw data into index numbers or percentages; classify data by level (nominal, ordinal, interval, ratio); identify dependent and independent variables; and carry out parametric statistical tests. They should also be able to carry out elementary project appraisal techniques such as simple Decision Trees and Discounted Cash Flow analysis. They should be able to use relevant software applications: e.g. spreadsheets and databases, at a "power user" level. Skills: Intellectual: identify the correct technique required to solve data analysis problems. Taught and assessed. Professional: apply statistical techniques to business problems. Taught and assessed. Key skills: * use and understanding of numerical data. Taught and assessed. * use of Information Technology: Taught, facilitated and assessed. Content: Collection and presentation of data; descriptive statistics; inferential statistics including correlation and regression; index numbers; time series; elementary probability; decision trees. Computer applications which are useful for data analysis in a business and academic context. |