Uncertainty Quantification and Analysis based on Generalized Interval Probability

HUST100.578: Uncertainty Quantification & Analysis in Systems Modeling & Simulation (A special topic graduate course offered at Huazhong University of Science & Technology (HUST), China, Nov.23 - Dec.1, 2011) Instructor: Prof. Yan Wang
Lecture No.	Topics	Handouts	Readings & Exercises
1	Uncertainties in Modeling & Simulation Fundamental concepts of modeling Major sources of epistemic uncertainty in modeling and simulation	Slides	Exercise 1
2	Probability Theory and Interpretations History and evolution of probability theory Different interpretations of probability	Slides	Exercise 2
3	Markov Model Independence Discrete-Time Markov Chain Chapman-Kolmogorov equation	Slides	Exercise 3
4	Generalization of Markov Models Hidden Markov model Viterbi algorithm Baum-Welch algorithm	Slides	Exercise 4
5	Interval Analysis and Generalized Interval Interval Arithmetic Generalized interval Applications of interval computing
6	Introduction of Imprecise Probability Theories

HUST100.578: Uncertainty Quantification & Analysis in Systems Modeling & Simulation