Detailed module information
Module information on this degree can be found below, separated by year of study.
The module information below applies for the current academic year. The academic year runs from August to July; the 'current year' switches over at the end of July.
Students select optional courses subject to rules specified in the Mechanical Engineering Student Handbook, for example at most three Design and Business courses. Please note that numbers are limited on some optional courses and selection criteria will apply.
This module aims to develop statistical methods and procedures that can be confidently applied and the results reported in a professional manner revealing both good understanding and interpretation. This is a level 6 version of the enhanced level 7 Statistics module and students cannot take both for credit towards their final degree.
ECTS units: 5
On completion of this module, students should be able to:
1. Use MATLAB for data processing, visualization, simulation and analysis
2. Apply probability models, estimate their parameters and test their fit to data
3. Apply reliability theory to devices and networks
4. Perform predictive modelling tasks using regression and time series analysis.
|Assessment type||Assessment description||Weighting||Pass mark||Must pass?|
|Examination||3 Hour exam||90%||40%||N|
|Coursework||Report on applied statistics problem||10%||40%||N|