Study of probability and its distribution, multivariate distribution, special distribution, concepts of convergence and their relationship, central limit theorem and its applications, classical and Bayesian statistical models, sufficient statistics, exponential family, estimation theory and its evaluation, hypothesis testing, relationship between estimation and hypothesis testing, random variables and their distributions, statistical inference, and several tests based on binomial distributions, contingency tables, ranks. , and Kolmogorov-Smirnov type statistics. Lectures begin with an explanation of concepts and principles, assignments and discussions with students, as well as presentations using ICT with an assessment system including assignments (30%), participation (20%), mid-semester assessment (20%) and final semester assessment (30%).