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Special Topic
Special Topic - Probabilistic Analysis and Data Analytics This course equips students with a practical toolkit to navigate complex engineering problems under uncertainty. This course introduces senior undergraduate and graduate students in civil and other engineering disciplines to the fundamentals of probabilistic analysis, data analytics, and its application to engineering systems. Students will learn to apply probability and statistical concepts to the analysis and design of civil and environmental engineering systems. The course is designed to bridge theoretical foundations with practical applications, encouraging students to develop quantitative skills for uncertainty analysis and risk assessment.
A. Develop a comprehensive understanding of fundamental probability theory and statistical concepts. B. Identify and characterize different types of uncertainties in engineering systems.C. Analyze and interpret engineering data using descriptive statistics and probabilistic models.D. Apply hypothesis testing and goodness-of-fit tests to assess data reliability.E. Construct probabilistic models of various engineering variables, including loads, material properties, and geometric parameters. F. Implement Monte Carlo Simulations (MCS) and other numerical methods for uncertainty quantification and reliability analysis.
Subject to approval of the Programme Director.
Students must attend one activity from each section.
Ke Jiang
Yu Li
A. H.-S. Ang and W.H. Tang (2007) Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering 2nd Edition, John Wiley, NY.Supplementary materials or online resources will be provided if any are available.
Domestic fee $1,268.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Civil and Environmental Engineering .