| 1 | Random experiment, sample space, axioms of probability, probability space. | PDF unavailable |
| 2 | Random experiment, sample space, axioms of probability, probability space. (Cont...) | PDF unavailable |
| 3 | Random experiment, sample space, axioms of probability, probability space. (Contd...) | PDF unavailable |
| 4 | Conditional probability, independence of events. | PDF unavailable |
| 5 | Multiplication rule, total probability rule, Bayes's theorem. | PDF unavailable |
| 6 | Definition of Random Variable, Cumulative Distribution Function | PDF unavailable |
| 7 | Definition of Random Variable, Cumulative Distribution Function (Continued 1) | PDF unavailable |
| 8 | Definition of Random Variable, Cumulative Distribution Function (Continued 2) | PDF unavailable |
| 9 | Type of Random Variables, Probability Mass Function, Probability Density Function | PDF unavailable |
| 10 | Type of Random Variables, Probability Mass Function, Probability Density Function (continued 1) | PDF unavailable |
| 11 | Distribution of Function of Random Variables | PDF unavailable |
| 12 | Mean and Variance | PDF unavailable |
| 13 | Mean and Variance Continued | PDF unavailable |
| 14 | Higher Order Moments and Moments Inequalities | PDF unavailable |
| 15 | Higher Order Moments and Moments Inequalities Continued | PDF unavailable |
| 16 | Generating Functions | PDF unavailable |
| 17 | Generating Functions Continued | PDF unavailable |
| 18 | Common Discrete Distributions | PDF unavailable |
| 19 | Common Discrete Distributions Continued | PDF unavailable |
| 20 | Common Continuous Distributions | PDF unavailable |
| 21 | Common Continuous Distributions Continued | PDF unavailable |
| 22 | Applications of Random Variable | PDF unavailable |
| 23 | Applications of Random Variable Continued | PDF unavailable |
| 24 | Random vector and joint distribution | PDF unavailable |
| 25 | Joint probability mass function | PDF unavailable |
| 26 | Joint probability density function | PDF unavailable |
| 27 | Independent random variables | PDF unavailable |
| 28 | Independent random variables Continued | PDF unavailable |
| 29 | Functions of several random variables | PDF unavailable |
| 30 | Functions of several random variables continued | PDF unavailable |
| 31 | Some important results | PDF unavailable |
| 32 | Order statistics | PDF unavailable |
| 33 | Conditional distributions | PDF unavailable |
| 34 | Random sum | PDF unavailable |
| 35 | Moments and Covariance | PDF unavailable |
| 36 | Variance Covariance matrix | PDF unavailable |
| 37 | Multivariate Normal distribution | PDF unavailable |
| 38 | Probability generating function and Moment generating function | PDF unavailable |
| 39 | Correlation coefficient | PDF unavailable |
| 40 | Conditional Expectation | PDF unavailable |
| 41 | Conditional Expectation continued. | PDF unavailable |
| 42 | Modes of Convergence | PDF unavailable |
| 43 | Mode of Convergence (Continued) | PDF unavailable |
| 44 | Law of Large Numbers | PDF unavailable |
| 45 | Central Limit Theorem | PDF unavailable |
| 46 | Central Limit Theorem (Continued) | PDF unavailable |
| 47 | Motivation for Stochastic Processes | PDF unavailable |
| 48 | Definition of a Stochastic Process | PDF unavailable |
| 49 | Classification of Stochastic Processes | PDF unavailable |
| 50 | Examples of Stochastic Process | PDF unavailable |
| 51 | Examples Of Stochastic Process (Continued) | PDF unavailable |
| 52 | Bernoulli Process | PDF unavailable |
| 53 | Poisson Process | PDF unavailable |
| 54 | Poisson Process (Continued) | PDF unavailable |
| 55 | Simple Random Walk | PDF unavailable |
| 56 | Time Series and Related Definitions | PDF unavailable |
| 57 | Strict Sense Stationary Process | PDF unavailable |
| 58 | Wide Sense Stationary Process and Examples | PDF unavailable |
| 59 | Examples of Stationary Processes Continued | PDF unavailable |
| 60 | Discrete Time Markov Chain (DTMC) | PDF unavailable |
| 61 | DTMC continued | PDF unavailable |
| 62 | Examples of DTMC | PDF unavailable |
| 63 | Examples of DTMC continued | PDF unavailable |
| 64 | Chapman-Kolmogorov equations and N-step transition matrix | PDF unavailable |
| 65 | Examples based on N-step transition matrix | PDF unavailable |
| 66 | Examples continued | PDF unavailable |
| 67 | Classification of states | PDF unavailable |
| 68 | Classification of states continued | PDF unavailable |
| 69 | Calculation of N-Step-9 | PDF unavailable |
| 70 | Calculation of N-Step-10 | PDF unavailable |
| 71 | Limiting and Stationary distributions | PDF unavailable |
| 72 | Limiting and Stationary distributions continued | PDF unavailable |
| 73 | Continuous time Markov chain (CTMC) | PDF unavailable |
| 74 | CTMC continued | PDF unavailable |
| 75 | State transition diagram and Chapman-Kolmogorov equation | PDF unavailable |
| 76 | Infinitesimal generator and Kolmogorov differential equations | PDF unavailable |
| 77 | Limiting distribution | PDF unavailable |
| 78 | Limiting and Stationary distributions -1 | PDF unavailable |
| 79 | Birth death process | PDF unavailable |
| 80 | Birth death process continued | PDF unavailable |
| 81 | Poisson process -1 | PDF unavailable |
| 82 | Poisson process continued | PDF unavailable |
| 83 | Poisson process (cont.) | PDF unavailable |
| 84 | Non-homogeneous and compound Poisson process | PDF unavailable |
| 85 | Introduction to Queueing Models and Kendall Notation | PDF unavailable |
| 86 | M/M/1 Queueing Model | PDF unavailable |
| 87 | M/M/1 Queueing Model Continued... | PDF unavailable |
| 88 | M/M/1 Queueing Model and Burke's Theorem | PDF unavailable |
| 89 | M/M/c Queueing Model | PDF unavailable |
| 90 | M/M/c continued and M/M/1/N Model | PDF unavailable |
| 91 | Other Markovian Queueing Models | PDF unavailable |
| 92 | Transient Solution of Finite Capacity Markovian Queues | PDF unavailable |