Module Title:   Engineering Statistics

Module Credit:   10

Module Code:   ENG2030M

Academic Year:   2015/6

Teaching Period:   Semester 2

Module Occurrence:   A

Module Level:   FHEQ Level 5

Module Type:   Standard module

Provider:   Engineering

Related Department/Subject Area:   Engineering: Mathematics and Computing (not in use)

Principal Co-ordinator:   Dr F Campean

Additional Tutor(s):   -

Prerequisite(s):   None

Corequisite(s):   None

Aims:
To develop critical skills in statistical engineering data collection, analysis and presentation, empirical model building and validation in engineering.

Learning Teaching & Assessment Strategy:
Knowledge is disseminated in large lectures, and practiced in tutorial sessions, with skills being taught, practiced and assessed in computer laboratory sessions. Oral feedback is given during labs and tutorials. The final exam will assess the wider learning outcomes expressed in the descriptor

Lectures:   16.00 &nnbsp;        Directed Study:   62.00           
Seminars/Tutorials:   12.00          Other:   0.00           
Laboratory/Practical:   8.00          Formal Exams:   2.00          Total:   100.00

On successful completion of this module you will be able to...

On successful completion of this module you will be able to achieve an understanding of variability underpinning any engineering experiment, will have the knowledge required to plan & design engineering experiments to collect data, to carryout a variety of statistical tests and types of analysis on the data and interpret the results, and to develop and validate empirical models of engineering processes;

On successful completion of this module you will be able to...

On successful completion of the module you will be able to apply a range of statistical tests to engineering data, use statistical modelling techniques to derive empirical models for engineering systems, apply statistical models to process control, and utilise a specialised software package;

On successful completion of this module you will be able to...

have advanced transferable skills in statistical data presentation and interpretation.

  Examination - closed book 2.00 80%
 
  Examination - closed book
  Coursework   20%
 
  500 word case study based report
  Examination - closed book 2.00 100%
 
  Supplementary Assessment

Outline Syllabus:
The engineering method and statistical thinking; data collection and presentation; modelling random behaviour; estimation and testing; building empirical models through linear regression analysis; design of engineering experiments; introduction to response surface methodology; application to statistical quality control and life data analysis.

Version No:  2