Lecture 1 - Introduction - Role of Probability in Civil Engineering
Lecture 2 - Random Events and Probability Concept
Lecture 3 - Set Theory and Set Operations
Lecture 4 - Axioms of Probability
Lecture 5 - Probability of Events
Lecture 6 - Concept and Defination of Random Variables
Lecture 7 - Probability Distribution of Random Variables
Lecture 8 - CDF and Descriptors of Random Variables
Lecture 9 - Further Descriptors of Random Variables
Lecture 10 - Discrete Probability Distribution
Lecture 11 - Probability Distribution of Continuous RVs
Lecture 12 - Probability Distribution of Continuous RVs (Continued...1)
Lecture 13 - Probability Distribution of Continuous RVs (Continued...2)
Lecture 14 - Functions of Single Random Variables
Lecture 15 - Functions of Random Variables - Different Methods
Lecture 16 - Functions of Random Variables - Different Methods (Continued...)
Lecture 17 - Expectation and Moments of Functions of RV
Lecture 18 - Expectation and Moments of Functions of RV (Continued...)
Lecture 19 - Joint Probability Distribution
Lecture 20 - Marginal Probability Distribution
Lecture 21 - Conditional Probability Distribution
Lecture 22 - Conditional Probability Distribution (Continued...)
Lecture 23 - Properties of Multiple Random Variables
Lecture 24 - Properties of Multiple Random Variables (Continued...)
Lecture 25 - MGF of Multivariate RVs and Multivariate Probability Distributions
Lecture 26 - Multivariate Distribution and Functions of Multiple Random Variables
Lecture 27 - Functions of Multiple Random Variables (Continued...1)
Lecture 28 - Functions of Multiple Random Variables (Continued...2)
Lecture 29 - Introduction to Copulas
Lecture 30 - Introduction to Copulas (Continued...)
Lecture 31 - Probability Models using Normal Distribution
Lecture 32 - Probability Models using Log Normal and Exponential Distribution
Lecture 33 - Probability Models using Gamma and Extreme Value Distribution
Lecture 34 - Probability Models using Discrete Probability Distributions
Lecture 35 - Sampling Distribution and Parameter Estimation
Lecture 36 - Sampling Distribution and Parameter Estimation (Continued...)
Lecture 37 - Hypothesis Testing
Lecture 38 - Goodness - of - fit tests
Lecture 39 - Regression Analyses and Correlation
Lecture 40 - Regression Analyses and Correlation (Continued...)