Module
Data Handling and Technical Writing
- Module code
- 2133
- Module leader
- Professor Mike Gooding
- Module level
- 5
- Module credits
- 7.5
- Prerequisites
- None
- Min study time
- 75 hours
- Contact Hrs within study time
- 20 hours
- Teaching period
- October – June
Module content
- Introduction to dissertations.
- The use of statistics in research projects and dissertations; descriptive stats; organising and presenting data (tables and graphs); data distributions, probability and an introduction to testing hypotheses; parametric stats continued, tests of goodness of fit; analysis of variance and methods for separation of means.
- Technical writing skills for dissertations.
- Use of statistical software.
- Referencing and the Harvard method.
- Critical thinking and writing.
- Social science methodology.
Module outcomes
To achieve credit for this module, students must be able to:
- Retrieve, understand and organise data, and calculate and use descriptive statistics (measures of centre and spread).
- Use statistics, charts and tables to provide evidence for statements in a written report.
- Evaluate sources of information.
- Demonstrate the ability to reference written material correctly.
- Demonstrate the ability to think and write in a critical way.
Assessment
| Assessment | Description | Weighting |
|---|---|---|
| Coursework | 1 x report | 100% |
Key texts
Students should be familiar with the content of at least one of the following:
- Morris, C. (2003). Quantitative Approaches in Business Studies. (6th edition). Pearson Education.