Module information for the next academic year is available below. Current academic year information is also available.
Statistics B
Module aims
To show that statistical procedures can be confidently applied and the results reported in a professional manner revealing both good understanding and interpretation.
ECTS units: 5
Learning outcomes
On successfully completing this module, students will be able to:
- Use MATLAB for data processing, visualization, simulation and analysis
- Apply probability models, estimate their parameters and test their fit to data
- Apply reliability theory to devices and networks
- Carry out predictive modelling tasks using regression and time series analysis.
Module syllabus
- Statistical techniques for summarising, interpreting and displaying data, including computer processing
- Probability theory for events
- Discrete probability models (Poisson, binomial, geometric), including computer simulation, fitting parameters and testing the fit
- Continuous probability models (uniform, exponential, normal, student t, chi-squared, Weibull including simulations, fitting and applications
- Failure analysis, reliability of devices and systems
- Covariance and correlation
- Sampling distributions, unbiasedness, standard error and mean square error
- Maximum likelihood estimation, confidence bounds and hypothesis testing
- Linear models, simple and multiple regression.
Teaching methods
- Duration: Autumn and Spring terms (21 weeks)
- Lectures: 1 x 1hr per week
- Tutorials: one drop in class every fortnight
- Coursework: The student is expected to use statistical methods to address a real-life application. This will include using MATLAB for statistical computing. A report on the task should be presented, including commented MATLAB code
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Summary of student timetabled hours | |||
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Autumn |
Spring |
Summer | |
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Lectures |
10 |
11 |
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Tutorials |
5 |
6 |
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Total |
32 hrs (if all tutorials attended) | ||
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Expected private study time |
3-4 hrs per week (excluding exam revision) |
Assessments
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Written examinations: |
Date (approx.) |
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Statistics (3h) A statistics formula sheet is provided. This is a CLOSED BOOK Examination |
April/May |
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Coursework (including progress tests, oral presentations etc.) |
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Submission |
Feedback | |||
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Report on applied statistics problem |
Returned for viewing, with written comments |
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Total marks |