Modules / Lectures

Module Name | Download | Description | Download Size |
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Week 1 | week1 | week1 | 287 kb |

Week 2 | week2 | week2 | 235 kb |

Week 3 | week3 | week3 | 251 kb |

Week 4 | week4 | week4 | 282 kb |

Week 5 | week5 | week5 | 237 kb |

week 6 | week6 | week6 | 284 kb |

week 7 | week7 | week7 | 245 kb |

Week 8 | week8 | week8 | 372 kb |

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Week_02_Assignment_2 | Week_02_Assignment_2 |

Week_03_Assignment_3 | Week_03_Assignment_3 |

Week_04_Assignment_4 | Week_04_Assignment_4 |

Week_05_Assignment_5 | Week_05_Assignment_5 |

Week_06_Assignment_6 | Week_06_Assignment_6 |

Week_07_Assignment_7 | Week_07_Assignment_7 |

Week_08_Assignment_8 | Week_08_Assignment_8 |

Week_09_Assignment_9 | Week_09_Assignment_9 |

Week_10_Assignment_10 | Week_10_Assignment_10 |

Week_11_Assignment_11 | Week_11_Assignment_11 |

Week_12_Assignment_12 | Week_12_Assignment_12 |

Sl.No | Chapter Name | MP4 Download |
---|---|---|

1 | Introduction and motivation for studying stochastic processes | Download |

2 | Probability space and conditional probability | Download |

3 | Random variable and cumulative distributive function | Download |

4 | Discrete Uniform Distribution, Binomial Distribution, Geometric Distribution, Continuous Uniform Distribution, Exponential Distribution, Normal Distribution and Poisson Distribution | Download |

5 | Joint Distribution of Random Variables | Download |

6 | Independent Random Variables, Covariance and Correlation Coefficient and Conditional Distribution | Download |

7 | Conditional Expectation and Covariance Matrix | Download |

8 | Generating Functions, Law of Large Numbers and Central Limit Theorem | Download |

9 | Problems in Random variables and Distributions | Download |

10 | Problems in Random variables and Distributions (contd.) | Download |

11 | Problems in Random variables and Distributions (contd..) | Download |

12 | Problems in Random variables and Distributions (contd...) | Download |

13 | Problems in Sequences of Random Variables | Download |

14 | Problems in Sequences of Random Variables (Contd) | Download |

15 | Problems in Sequences of Random Variables (Contd.) | Download |

16 | Problems in Sequences of Random Variables (Contd..) | Download |

17 | Definition of Stochastic Processes, Parameter and State Spaces | Download |

18 | Classification of Stochastic Processes | Download |

19 | Examples of Classification of Stochastic Processes | Download |

20 | Examples of Classification of Stochastic Processes (contd.) | Download |

21 | Bernoulli Process | Download |

22 | Poisson Process | Download |

23 | Poisson Process (contd.) | Download |

24 | Simple Random Walk and Population Processes | Download |

25 | Introduction to Discrete time Markov Chain | Download |

26 | Introduction to Discrete time Markov Chain (contd.) | Download |

27 | Examples of Discrete time Markov Chain | Download |

28 | Examples of Discrete time Markov Chain (contd.) | Download |

29 | Introduction to Chapman-Kolmogorov equations | Download |

30 | State Transition Diagram and Examples | Download |

31 | Examples | Download |

32 | Introduction to Classification of States and Periodicity | Download |

33 | Closed set of States and Irreducible Markov Chain | Download |

34 | First Passage time and Mean Recurrence Time | Download |

35 | Recurrent State and Transient State | Download |

36 | Introduction and example of Classification of states | Download |

37 | Example of Classification of state(Contd.) | Download |

38 | Example of Classification of states(Contd.) | Download |

39 | Example of Classification of states (Contd.) | Download |

40 | Introduction and Limiting Distribution | Download |

41 | Example of Limiting Distribution and Ergodicity | Download |

42 | Stationary Distribution and Examples | Download |

43 | Examples of Stationary Distributions | Download |

44 | Time Reversible Markov Chain and Examples | Download |

45 | Definition of Reducible Markov Chains and Types of Reducible Markov Chains | Download |

46 | Stationary Distributions and Types of Reducible Markov chains | Download |

47 | Type of Reducible Markov Chains(Contd.) | Download |

48 | Gambler's Ruin Problem | Download |

49 | Introduction to Continuous time Markov Chain | Download |

50 | Waiting time Distribution | Download |

51 | Chapman-Kolmogorov Equation | Download |

52 | Infinitesimal Generator Matrix | Download |

53 | Introduction and Example Of Continuous time Markov Chain | Download |

54 | Limiting and Stationary Distributions | Download |

55 | Time reversible CTMC and Birth Death Process | Download |

56 | Steady State Distributions, Pure Birth Process and Pure Death Process | Download |

57 | Introduction to Poisson Process | Download |

58 | Definition of Poisson Process | Download |

59 | Superposition and Deposition of Poisson Process | Download |

60 | Compound Poisson Process and Examples | Download |

61 | Introduction to Queueing Systems and Kendall Notations | Download |

62 | M/M/1 Queueing Model | Download |

63 | Little's Law, Distribution of Waiting Time and Response Time | Download |

64 | Burke's Theorem and Simulation of M/M/1 queueing Model | Download |

65 | M/M/c Queueing Model | Download |

66 | M/M/1/N Queueing Model | Download |

67 | M/M/c/K Model, M/M/c/c Loss System, M/M/? Self Service System | Download |

68 | Transient Solution of Finite Birth Death Process and Finite Source Markovian Queueing Model | Download |

69 | Queueing Networks Characteristics and Types of Queueing Networks | Download |

70 | Tandem Queueing Networks | Download |

71 | Stationary Distribution and Open Queueing Network | Download |

72 | Jackson's Theorem, Closed Queueing Networks, Gordon and Newell Results | Download |

73 | Wireless Handoff Performance Model and System Description | Download |

74 | Description of 3G Cellular Networks and Queueing Model | Download |

75 | Simulation of Queueing Systems | Download |

76 | Definition and Basic Components of Petri Net and Reachability Analysis | Download |

77 | Arc Extensions in Petri Net, Stochastic Petri Nets and examples | Download |

Sl.No | Chapter Name | English |
---|---|---|

1 | Introduction and motivation for studying stochastic processes | PDF unavailable |

2 | Probability space and conditional probability | PDF unavailable |

3 | Random variable and cumulative distributive function | PDF unavailable |

4 | Discrete Uniform Distribution, Binomial Distribution, Geometric Distribution, Continuous Uniform Distribution, Exponential Distribution, Normal Distribution and Poisson Distribution | PDF unavailable |

5 | Joint Distribution of Random Variables | PDF unavailable |

6 | Independent Random Variables, Covariance and Correlation Coefficient and Conditional Distribution | PDF unavailable |

7 | Conditional Expectation and Covariance Matrix | PDF unavailable |

8 | Generating Functions, Law of Large Numbers and Central Limit Theorem | PDF unavailable |

9 | Problems in Random variables and Distributions | PDF unavailable |

10 | Problems in Random variables and Distributions (contd.) | PDF unavailable |

11 | Problems in Random variables and Distributions (contd..) | PDF unavailable |

12 | Problems in Random variables and Distributions (contd...) | PDF unavailable |

13 | Problems in Sequences of Random Variables | PDF unavailable |

14 | Problems in Sequences of Random Variables (Contd) | PDF unavailable |

15 | Problems in Sequences of Random Variables (Contd.) | PDF unavailable |

16 | Problems in Sequences of Random Variables (Contd..) | PDF unavailable |

17 | Definition of Stochastic Processes, Parameter and State Spaces | PDF unavailable |

18 | Classification of Stochastic Processes | PDF unavailable |

19 | Examples of Classification of Stochastic Processes | PDF unavailable |

20 | Examples of Classification of Stochastic Processes (contd.) | PDF unavailable |

21 | Bernoulli Process | PDF unavailable |

22 | Poisson Process | PDF unavailable |

23 | Poisson Process (contd.) | PDF unavailable |

24 | Simple Random Walk and Population Processes | PDF unavailable |

25 | Introduction to Discrete time Markov Chain | PDF unavailable |

26 | Introduction to Discrete time Markov Chain (contd.) | PDF unavailable |

27 | Examples of Discrete time Markov Chain | PDF unavailable |

28 | Examples of Discrete time Markov Chain (contd.) | PDF unavailable |

29 | Introduction to Chapman-Kolmogorov equations | PDF unavailable |

30 | State Transition Diagram and Examples | PDF unavailable |

31 | Examples | PDF unavailable |

32 | Introduction to Classification of States and Periodicity | PDF unavailable |

33 | Closed set of States and Irreducible Markov Chain | PDF unavailable |

34 | First Passage time and Mean Recurrence Time | PDF unavailable |

35 | Recurrent State and Transient State | PDF unavailable |

36 | Introduction and example of Classification of states | PDF unavailable |

37 | Example of Classification of state(Contd.) | PDF unavailable |

38 | Example of Classification of states(Contd.) | PDF unavailable |

39 | Example of Classification of states (Contd.) | PDF unavailable |

40 | Introduction and Limiting Distribution | PDF unavailable |

41 | Example of Limiting Distribution and Ergodicity | PDF unavailable |

42 | Stationary Distribution and Examples | PDF unavailable |

43 | Examples of Stationary Distributions | PDF unavailable |

44 | Time Reversible Markov Chain and Examples | PDF unavailable |

45 | Definition of Reducible Markov Chains and Types of Reducible Markov Chains | PDF unavailable |

46 | Stationary Distributions and Types of Reducible Markov chains | PDF unavailable |

47 | Type of Reducible Markov Chains(Contd.) | PDF unavailable |

48 | Gambler's Ruin Problem | PDF unavailable |

49 | Introduction to Continuous time Markov Chain | PDF unavailable |

50 | Waiting time Distribution | PDF unavailable |

51 | Chapman-Kolmogorov Equation | PDF unavailable |

52 | Infinitesimal Generator Matrix | PDF unavailable |

53 | Introduction and Example Of Continuous time Markov Chain | PDF unavailable |

54 | Limiting and Stationary Distributions | PDF unavailable |

55 | Time reversible CTMC and Birth Death Process | PDF unavailable |

56 | Steady State Distributions, Pure Birth Process and Pure Death Process | PDF unavailable |

57 | Introduction to Poisson Process | PDF unavailable |

58 | Definition of Poisson Process | PDF unavailable |

59 | Superposition and Deposition of Poisson Process | PDF unavailable |

60 | Compound Poisson Process and Examples | PDF unavailable |

61 | Introduction to Queueing Systems and Kendall Notations | PDF unavailable |

62 | M/M/1 Queueing Model | PDF unavailable |

63 | Little's Law, Distribution of Waiting Time and Response Time | PDF unavailable |

64 | Burke's Theorem and Simulation of M/M/1 queueing Model | PDF unavailable |

65 | M/M/c Queueing Model | PDF unavailable |

66 | M/M/1/N Queueing Model | PDF unavailable |

67 | M/M/c/K Model, M/M/c/c Loss System, M/M/? Self Service System | PDF unavailable |

68 | Transient Solution of Finite Birth Death Process and Finite Source Markovian Queueing Model | PDF unavailable |

69 | Queueing Networks Characteristics and Types of Queueing Networks | PDF unavailable |

70 | Tandem Queueing Networks | PDF unavailable |

71 | Stationary Distribution and Open Queueing Network | PDF unavailable |

72 | Jackson's Theorem, Closed Queueing Networks, Gordon and Newell Results | PDF unavailable |

73 | Wireless Handoff Performance Model and System Description | PDF unavailable |

74 | Description of 3G Cellular Networks and Queueing Model | PDF unavailable |

75 | Simulation of Queueing Systems | PDF unavailable |

76 | Definition and Basic Components of Petri Net and Reachability Analysis | PDF unavailable |

77 | Arc Extensions in Petri Net, Stochastic Petri Nets and examples | PDF unavailable |

Sl.No | Language | Book link |
---|---|---|

1 | English | Not Available |

2 | Bengali | Not Available |

3 | Gujarati | Not Available |

4 | Hindi | Not Available |

5 | Kannada | Not Available |

6 | Malayalam | Not Available |

7 | Marathi | Not Available |

8 | Tamil | Not Available |

9 | Telugu | Not Available |