Registry
Module Specifications
Archived Version 2003 - 2004
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Module Title |
Probability and Engineering Statistics
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Module Code |
MM382
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School |
School of Mechanical and Manufacturing Engineering
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Online Module Resources
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Level |
3
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Credit Rating |
5
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Pre-requisite |
EM201, MM222
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Co-requisite |
None
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Module Aims
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To introduce the main concepts of statistic and probability theory and to give the students a working knowldge of the practical application of these theories in the field of engineering
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Learning Outcomes
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After completion of this module students should be fully familiar with the main concepts in probability theory and statistical analysis. They should be able to apply these concepts to solve problems and analyse measured data.
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Indicative Time Allowances
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Hours
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Lectures |
24
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Tutorials |
12
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Laboratories |
0
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Seminars |
0
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Independent Learning Time |
39
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Total |
75
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Placements |
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Assignments |
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NOTE
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Assume that a 5 credit module load represents approximately 75 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.
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Indicative Syllabus
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¿ Variables and graphs
¿ Frequency Distribution
¿ Mean, Median, Mode and other measures of central tendency
¿ Standard deviation and other measures of dispersion
¿ Moments, Skewness and Kurtosis
¿ Elementary Probability theory
¿ Queuing theory
¿ The Binomial, Normal and Poisson Distributions
¿ Elementary Sampling Theory
¿ Statistical decision theory, tests of hypothesis and significance
¿ Small sampling theory
¿ Curve fitting
¿ Correlation theory
¿ Introduction to relevant software packages (e.g. SPSS, Matlab etc.)
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| Assessment | | Continuous Assessment | 20% | Examination Weight | 80% |
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Indicative Reading List
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7 Helstrom, Carl W. : Probability and stochastic processes for engineers
7 Miller, Irwin. : Probability and statistics for engineers
7 Clarke, A.B. : Probability and random processes : a first course
7 Meyer, S.L. : Data analysis for scientists and engineers
7 Hamming, R.W. : The art of probability for scientists and engineers
7 Walpole, R.E. : Probability and statistics for engineers and scientists
7 Montgomery, D.C. : Applied statistics and probability for engineers
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Programme or List of Programmes
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| ME | B.Eng. in Mechatronic Engineering |
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