| Unit name | Applied Statistics |
|---|---|
| Unit code | EMAT30007 |
| Credit points | 10 |
| Level of study | H/6 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Shalonova |
| Open unit status | Not open |
| Pre-requisites | |
| Co-requisites |
None |
| School/department | School of Engineering Mathematics and Technology |
| Faculty | Faculty of Engineering |
The unit aims to provide students with practical experience of using statistical methodologies for solving real-world problems. There will be a focus apply tools to data, both real world and simulated. Each concept will be taught in hands-on way that will allow students to understand the vital role of the statistics in applied science and industrial engineering research. Problems will be drawn from engineering research, biological science, medical applications, social sciences etc.
1. Use discrete and continuous probability distributions, sampling distributions, simple and multi-variate linear regression to model data.
2. Be able to apply different sampling techniques
3. Be able to perform ANOVA analyses and use elementary experimental design principles.
4. Be able to apply of certain non-parametric and Bayesian methods.
Lectures and computer laboratory sessions.
2 hours per week, split roughly 50-50 between lectures and labs.
50% Summer Exam (1.5 hr), 50% coursework consisting of two assessed projects each worth 25%
R. E. Walpole, R. H. Myers, S. L. Myers Probability and Statistics for Engineers and Scientists, Pearson
