Civil Engineering |
Auditory lectures with presentation technology. Numerical examples and individual problem solving.
Introducing students to quantitative probabilistic assessment of problems in civil engineering applications.
The students are capable of independent use of risk models in research and practice.
Basic probability concepts. Random variables and their properties. Probability distributions. Methods of estimation and testing. Correlation and regression analysis. Frequency analysis of extreme events. Risk and reliability analysis.
Kattegoda, N.T. and Rosso R. (1997) Statistics, Probability and Reliability for Civil and Environmenal Engineers, McGraw-Hill.