# Probability and Random Processes (प्रायिकता एवं यादृच्छिक प्रक्रियाएँ)

- Institution: IIT Guwahati
- Department: Electrical Engineering
- Teacher: Prof Rohit Sinha Prof. Ribhu
- Level: Undergraduate
- Language: English
- Subjects: Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/108103185)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/108103185)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lec 1: Introduction](https://invisiblenetwork.ai/learn/nptel/108103185/df55c1508c25) (Video)
2. [Lec 2: Algebra of Events](https://invisiblenetwork.ai/learn/nptel/108103185/e0094c01a4e5) (Video)
3. [Lec 3: Axioms of Probability](https://invisiblenetwork.ai/learn/nptel/108103185/a5cd933dac16) (Video)
4. [Lec 4: Example 1](https://invisiblenetwork.ai/learn/nptel/108103185/2a3c29880c13) (Video)
5. [Lec 5: Example 2](https://invisiblenetwork.ai/learn/nptel/108103185/0b1518a3e96e) (Video)
6. [Lec 6: Example 3](https://invisiblenetwork.ai/learn/nptel/108103185/11226f00ee32) (Video)
7. [Lec 7: Example 4](https://invisiblenetwork.ai/learn/nptel/108103185/6bf1c49866de) (Video)
8. [Lec 8: Example 5](https://invisiblenetwork.ai/learn/nptel/108103185/e95dd455d11e) (Video)
9. [Lec 9: Conditional Probability](https://invisiblenetwork.ai/learn/nptel/108103185/2d605f614096) (Video)
10. [Lec 10: Bayes Theorem 1](https://invisiblenetwork.ai/learn/nptel/108103185/ba4dd77f6110) (Video)
11. [Lec 11: Bayes Theorem 2](https://invisiblenetwork.ai/learn/nptel/108103185/fcf80f8cd854) (Video)
12. [Lec 12: A Brief Review](https://invisiblenetwork.ai/learn/nptel/108103185/9f81ed751ea4) (Video)
13. [Lec 13: Example 1](https://invisiblenetwork.ai/learn/nptel/108103185/fc8a3ccbd1da) (Video)
14. [Lec 14: Example 2](https://invisiblenetwork.ai/learn/nptel/108103185/81447b9a3811) (Video)
15. [Lec 15: Example 3](https://invisiblenetwork.ai/learn/nptel/108103185/4e98b809cb2f) (Video)
16. [Lec 16: Example 4](https://invisiblenetwork.ai/learn/nptel/108103185/0e7987f93e92) (Video)
17. [Lec 17: Example 5](https://invisiblenetwork.ai/learn/nptel/108103185/d04345e1182e) (Video)
18. [Lec 18: Independent Events](https://invisiblenetwork.ai/learn/nptel/108103185/7726ffb6b7a9) (Video)
19. [Lec 19: A Brief Review](https://invisiblenetwork.ai/learn/nptel/108103185/4b58ae39865a) (Video)
20. [Lec 20: Example 1](https://invisiblenetwork.ai/learn/nptel/108103185/c1efa5bf5e77) (Video)
21. [Lec 21: Example 2](https://invisiblenetwork.ai/learn/nptel/108103185/6deb1cde8254) (Video)
22. [Lec 22: Example 3](https://invisiblenetwork.ai/learn/nptel/108103185/427b6470028d) (Video)
23. [Lec 23: Example 4](https://invisiblenetwork.ai/learn/nptel/108103185/7e6a5d8ed44f) (Video)
24. [Lec 24: Discrete Random Variables](https://invisiblenetwork.ai/learn/nptel/108103185/b21454522952) (Video)
25. [Lec 25: Expectation](https://invisiblenetwork.ai/learn/nptel/108103185/0772f4ccf5af) (Video)
26. [Lec 26: Moments](https://invisiblenetwork.ai/learn/nptel/108103185/42c30481b349) (Video)
27. [Lec 27: Variance](https://invisiblenetwork.ai/learn/nptel/108103185/e56b34005616) (Video)
28. [Lec 28: Binomial Random Variables](https://invisiblenetwork.ai/learn/nptel/108103185/22bb93db9e2d) (Video)
29. [Lec 29: Poisson Random Variables](https://invisiblenetwork.ai/learn/nptel/108103185/7bbef9ca9487) (Video)
30. [Lec 30: More on Poission Random Variables](https://invisiblenetwork.ai/learn/nptel/108103185/4b79ef6939d8) (Video)
31. [Lec 31: Properties of the CDF](https://invisiblenetwork.ai/learn/nptel/108103185/28ec75472f28) (Video)
32. [Lec 32: A Brief Review I](https://invisiblenetwork.ai/learn/nptel/108103185/8fa7776f38e9) (Video)
33. [Lec 33: A Brief Review II](https://invisiblenetwork.ai/learn/nptel/108103185/575e448a8d8d) (Video)
34. [Lec 34: Example 1](https://invisiblenetwork.ai/learn/nptel/108103185/8e05d963bc7d) (Video)
35. [Lec 35: Example 2](https://invisiblenetwork.ai/learn/nptel/108103185/e8b5ebc71854) (Video)
36. [Lec 36: Example 3](https://invisiblenetwork.ai/learn/nptel/108103185/c1e6ae9c5e7f) (Video)
37. [Lec 37: Example 4](https://invisiblenetwork.ai/learn/nptel/108103185/d13c1b2bf250) (Video)
38. [Lec 38: Example 5](https://invisiblenetwork.ai/learn/nptel/108103185/efe0c81d50c7) (Video)
39. [Lec 39: Example 6](https://invisiblenetwork.ai/learn/nptel/108103185/1431838aac21) (Video)
40. [Lec 40: Example 7](https://invisiblenetwork.ai/learn/nptel/108103185/36a15ea64514) (Video)
41. [Lec 41: Example 8](https://invisiblenetwork.ai/learn/nptel/108103185/2d729eeedab8) (Video)
42. [Lec 42: Example 9](https://invisiblenetwork.ai/learn/nptel/108103185/a69b66e1b1a4) (Video)
43. [Lec 43: Continuous Random Variables](https://invisiblenetwork.ai/learn/nptel/108103185/c8a73de9e432) (Video)
44. [Lec 44: Expectation of Continuous random variables](https://invisiblenetwork.ai/learn/nptel/108103185/180875cb3af7) (Video)
45. [Lec 45: The uniform and the Gaussian Random variables](https://invisiblenetwork.ai/learn/nptel/108103185/a76a379e134c) (Video)
46. [Lec 46: The mean and variance of a Gaussian Random Variable](https://invisiblenetwork.ai/learn/nptel/108103185/ec6291cba4fc) (Video)
47. [Lec 47: The exponential random variable and other continuous distributions](https://invisiblenetwork.ai/learn/nptel/108103185/1ad1e3474436) (Video)
48. [Lec 48: A Brief Review](https://invisiblenetwork.ai/learn/nptel/108103185/4a8f5fa548ef) (Video)
49. [Lec 49: Example 1](https://invisiblenetwork.ai/learn/nptel/108103185/6c353431ed03) (Video)
50. [Lec 50: Example 2](https://invisiblenetwork.ai/learn/nptel/108103185/17f585892527) (Video)
51. [Lec 51: Example 3](https://invisiblenetwork.ai/learn/nptel/108103185/214a562d562a) (Video)
52. [Lec 52: Example 4](https://invisiblenetwork.ai/learn/nptel/108103185/591e31809ad3) (Video)
53. [Lec 53: Example 5](https://invisiblenetwork.ai/learn/nptel/108103185/a6e13bb98618) (Video)
54. [Lec 54: Functions of a random varible](https://invisiblenetwork.ai/learn/nptel/108103185/c3464f1050b0) (Video)
55. [Lec 55: Functions of a random varible](https://invisiblenetwork.ai/learn/nptel/108103185/ec14c74250b0) (Video)
56. [Lec 56: The moment generating function](https://invisiblenetwork.ai/learn/nptel/108103185/9943eabef270) (Video)
57. [Lec 57: Conditional Distributions](https://invisiblenetwork.ai/learn/nptel/108103185/15a106542af3) (Video)
58. [Lec 58: Bivariate Distributions](https://invisiblenetwork.ai/learn/nptel/108103185/827c9549b7ca) (Video)
59. [Lec 59: Independence of Random Varibles](https://invisiblenetwork.ai/learn/nptel/108103185/fce962693f11) (Video)
60. [Lec 60: Jointly Gaussian Random Varibales and Circular symmetry](https://invisiblenetwork.ai/learn/nptel/108103185/4e6a714b988d) (Video)
61. [Lec 61: Jointly Discrete Random Variables](https://invisiblenetwork.ai/learn/nptel/108103185/adf36e357c66) (Video)
62. [Lec 62: One Function of two random variables](https://invisiblenetwork.ai/learn/nptel/108103185/a506efdfc0c9) (Video)
63. [Lec 63: Order Statistics](https://invisiblenetwork.ai/learn/nptel/108103185/de0cf1e6dae9) (Video)
64. [Lec 64: Two functions of two random variables](https://invisiblenetwork.ai/learn/nptel/108103185/65414fc8c9a1) (Video)
65. [Lec 65: Joint Moments](https://invisiblenetwork.ai/learn/nptel/108103185/357b9ef5812d) (Video)
66. [Lec 66: Joint Charactristic Functions](https://invisiblenetwork.ai/learn/nptel/108103185/c50d64704de1) (Video)
67. [Lec 67: Conditional Distributions for multiple random variables](https://invisiblenetwork.ai/learn/nptel/108103185/75ef9f96a620) (Video)
68. [Lec 68: Conditional Expectations](https://invisiblenetwork.ai/learn/nptel/108103185/e2f123303577) (Video)
69. [Lec 69: Examples](https://invisiblenetwork.ai/learn/nptel/108103185/069d8d36f86a) (Video)
70. [Lec 70: Random Vectors](https://invisiblenetwork.ai/learn/nptel/108103185/3c9f647d4b20) (Video)
71. [Lec 71: Independence of Random Varibles](https://invisiblenetwork.ai/learn/nptel/108103185/3531c76d6e0f) (Video)
72. [Lec 72: Complex Random Varibales](https://invisiblenetwork.ai/learn/nptel/108103185/e90480dd6868) (Video)
73. [Lec 73: Covariance Matrices](https://invisiblenetwork.ai/learn/nptel/108103185/f4c8dce0a603) (Video)
74. [Lec 74: Conditional Densities](https://invisiblenetwork.ai/learn/nptel/108103185/eb5a73d90563) (Video)
75. [Lec 75: Gaussianity](https://invisiblenetwork.ai/learn/nptel/108103185/8d2c8293273c) (Video)
76. [Lec 76: Chi Squared Densities](https://invisiblenetwork.ai/learn/nptel/108103185/4df0e47e61d4) (Video)
77. [Lec 77: Examples](https://invisiblenetwork.ai/learn/nptel/108103185/2a57209bc394) (Video)
78. [Lec 78: Estimation Theory](https://invisiblenetwork.ai/learn/nptel/108103185/1e9c3962118a) (Video)
79. [Lec 79: Measurements](https://invisiblenetwork.ai/learn/nptel/108103185/5bfdf4307e29) (Video)
80. [Lec 80: Sequences of Random Variables](https://invisiblenetwork.ai/learn/nptel/108103185/1169bc237283) (Video)
81. [Lec 81: Laws of large numbers](https://invisiblenetwork.ai/learn/nptel/108103185/4dd355083435) (Video)
82. [Lec 82: Random processes](https://invisiblenetwork.ai/learn/nptel/108103185/2e0e9110a11d) (Video)
83. [Lec 83: Stationarity, Cyclostationarity, Ergodicity](https://invisiblenetwork.ai/learn/nptel/108103185/958855b9c938) (Video)
84. [Lec 84: Random Processes as Signals (PSD and LTI Response)](https://invisiblenetwork.ai/learn/nptel/108103185/b0fee359c3b4) (Video)
85. [Lec 85: White and Gaussian Processes Noise](https://invisiblenetwork.ai/learn/nptel/108103185/3499c831c868) (Video)