Registry
Module Specifications
Archived Version 2007 - 2008
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Module Aims | |||||||||||||||||||||||||||||||||
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 | |||||||||||||||||||||||||||||||||
On completion of this module, the student will be able to · Be able to summarise numerical data (PO1, PO2, PO6) · Be able to solve probability problems involving the applications of the laws of probability and common probability distributions (PO1, PO2) · Be able to test simple statistical hypotheses and to communicate conclusions (PO1, PO2, PO6) · Be able to identify the key elements of SQC and TQM (PO1, PO2) · Be able to identify when the basic quality control charts are appropriate, be able to construct the same and be able to communicate conclusions (PO1, PO2, PO6) | |||||||||||||||||||||||||||||||||
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NOTE | |||||||||||||||||||||||||||||||||
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. | |||||||||||||||||||||||||||||||||
Indicative Syllabus | |||||||||||||||||||||||||||||||||
· 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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Indicative Reading List | |||||||||||||||||||||||||||||||||
· Helstrom, Carl W. : Probability and stochastic processes for engineers· Miller, Irwin. : Probability and statistics for engineers· Clarke, A.B. : Probability and random processes : a first course· Meyer, S.L. : Data analysis for scientists and engineers· Hamming, R.W. : The art of probability for scientists and engineers· Walpole, R.E. : Probability and statistics for engineers and scientists· Montgomery, D.C. : Applied statistics and probability for engineers | |||||||||||||||||||||||||||||||||
Contribution to Programme Outcomes:
Teaching & Learning Strategies/Assessment Methodology:
Traditional mid-term tests (2), terminal examination, problem sheets, tutorials and lectures. | |||||||||||||||||||||||||||||||||
Programme or List of Programmes | |||||||||||||||||||||||||||||||||
BME | BEng Manufacturing Engineering &Business | ||||||||||||||||||||||||||||||||
BSSA | Study Abroad (DCU Business School) | ||||||||||||||||||||||||||||||||
BSSAO | Study Abroad (DCU Business School) | ||||||||||||||||||||||||||||||||
ECSA | Study Abroad (Engineering & Computing) | ||||||||||||||||||||||||||||||||
ECSAO | Study Abroad (Engineering & Computing) | ||||||||||||||||||||||||||||||||
HMSA | Study Abroad (Humanities & Soc Science) | ||||||||||||||||||||||||||||||||
HMSAO | Study Abroad (Humanities & Soc Science) | ||||||||||||||||||||||||||||||||
ME | B.Eng. in Mechatronic Engineering | ||||||||||||||||||||||||||||||||
MEDM | B.Eng. in Medical Mechanical Engineering | ||||||||||||||||||||||||||||||||
SHSA | Study Abroad (Science & Health) | ||||||||||||||||||||||||||||||||
SHSAO | Study Abroad (Science & Health) | ||||||||||||||||||||||||||||||||
Archives: |
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