Back To The Course Mod-01 Lec-01 Basic principles of counting Free Video Tutorials and Notes Lectures Mod-01 Lec-02 Sample space , events, axioms of probability Free Video Tutorials and Notes Lectures Mod-01 Lec-03 Conditional probability, Independence of events. Free Video Tutorials and Notes Lectures Mod-01 Lec-04 Random variables, cumulative density function, expected value Free Video Tutorials and Notes Lectures Mod-01 Lec-05 Discrete random variables and their distributions Free Video Tutorials and Notes Lectures Mod-01 Lec-06 Discrete random variables and their distributions Free Video Tutorials and Notes Lectures Mod-01 Lec-07 Discrete random variables and their distributions Free Video Tutorials and Notes Lectures Mod-01 Lec-13 Independent r. v. and their sums. Free Video Tutorials and Notes Lectures Mod-01 Lec-14 Chi – square r. v., sums of independent normal r. v., Conditional distr. Free Video Tutorials and Notes Lectures Mod-01 Lec-16 Order statistics, Covariance and correlation Free Video Tutorials and Notes Lectures Mod-01 Lec-08 Continuous random variables and their distributions. Free Video Tutorials and Notes Lectures Mod-01 Lec-09 Continuous random variables and their distributions. Free Video Tutorials and Notes Lectures Mod-01 Lec-10 Continuous random variables and their distributions. Free Video Tutorials and Notes Lectures Mod-01 Lec-11 Function of random variables, Momement generating function Free Video Tutorials and Notes Lectures Mod-01 Lec-12 Jointly distributed random variables, Independent r. v. and their sums Free Video Tutorials and Notes Lectures Mod-01 Lec-15 Conditional disti, Joint distr. of functions of r. v., Order statistics Free Video Tutorials and Notes Lectures Mod-01 Lec-18 Conditional expectation, Best linear predictor Free Video Tutorials and Notes Lectures Mod-01 Lec-19 Inequalities and bounds. Free Video Tutorials and Notes Lectures Mod-01 Lec-20 Convergence and limit theorems Free Video Tutorials and Notes Lectures Mod-01 Lec-17 Covariance, Correlation, Cauchy- Schwarz inequalities, Conditional expectation. Free Video Tutorials and Notes Lectures Mod-01 Lec-21 Central limit theorem Free Video Tutorials and Notes Lectures Mod-01 Lec-22 Applications of central limit theorem Free Video Tutorials and Notes Lectures Mod-01 Lec-23 Strong law of large numbers, Joint mgf. Free Video Tutorials and Notes Lectures Mod-01 Lec-24 Convolutions Free Video Tutorials and Notes Lectures Mod-01 Lec-25 Stochastic processes: Markov process. Free Video Tutorials and Notes Lectures Mathematics - Probability Theory and Applications Free Video Tutorials and Notes LecturesMod-01 Lec-09 Continuous random variables and their distributions. Free Video Tutorials and Notes LecturesProbability Theory and Applications by Prof. Prabha Sharma,Department of Mathematics,IIT Kanpur.For more details on NPTEL visit http://nptel.ac.in.