| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture 01: Introduction to Reliability Engineering | Download |
| 2 | Lecture 02: Introduction to Statistical Methods in Reliability | Download |
| 3 | Lecture 03: Concept of Probability and Probability Theory | Download |
| 4 | Lecture 04: Tutorial on Introduction to RE, SL and Probability Theory (Part-I) | Download |
| 5 | Lecture 05: Conditional, Total and Reverse Probability | Download |
| 6 | Lecture 06 : Tutorial on Conditional Probability and Total Probability | Download |
| 7 | Lecture 07 : Introduction to Probability Distributions | Download |
| 8 | Lecture 08 : Introduction to Probability Distributions(Contd.) | Download |
| 9 | Lecture 09 : Discrete Probability Distribution (Part 1) | Download |
| 10 | Lecture 10 : Discrete Probability Distribution (Part 2) | Download |
| 11 | Lecture 11 : Tutorial on Discrete Probability Distributions | Download |
| 12 | Lecture 12 : Continuous Probability Distributions (Part 1) | Download |
| 13 | Lecture 13 : Continuous Probability Distributions (Part 2) | Download |
| 14 | Lecture 14 : Tutorial on Continuous Probability Distribution Functions (Part-1) | Download |
| 15 | Lecture 15 : Tutorial on Continuous Probability Distribution Functions (Part 2) | Download |
| 16 | Lecture 16 : Sampling Distributions (Part 1) | Download |
| 17 | Lecture 17 : Sampling Distributions (Part 2) | Download |
| 18 | Lecture 18 : Sampling Distribution (Part 3) | Download |
| 19 | Lecture 19 : Sampling Distribution (Part 4) | Download |
| 20 | Lecture 20 : Sampling Distribution (Part 5) | Download |
| 21 | Lecture 21 : Tutorial on Sampling Distributions | Download |
| 22 | Lecture 22 : Statistical Inference (Part 1) | Download |
| 23 | Lecture 23 : Statistical Inference (Part 2) | Download |
| 24 | Lecture 24 : Statistical Inference (Part 3) | Download |
| 25 | Lecture 25 : Tutorial on Statistical Inference | Download |
| 26 | Lecture 26 : Statistical Inference (Part 4) | Download |
| 27 | Lecture 27 : Statistical Inference (Part 5) | Download |
| 28 | Lecture 28 : Tutorial on Confidence Interval | Download |
| 29 | Lecture 29 : Statistical Inference (Part 6) | Download |
| 30 | Lecture 30 : Statistical Inference (Part 7) | Download |
| 31 | Lecture 31 : Statistical Inference (Part 8) | Download |
| 32 | Lecture 32 : ANOVA-I | Download |
| 33 | Lecture 33 : ANOVA-II | Download |
| 34 | Lecture 34 : ANOVA – III | Download |
| 35 | Lecture 35 : ANOVA – IV | Download |
| 36 | Lecture 36 : ANOVA – V | Download |
| 37 | Lecture 37 : ANOVA – VI | Download |
| 38 | Lecture 38 : Correlation Analysis (Part-I) | Download |
| 39 | Lecture 39 : Correlation Analysis (Part-II) | Download |
| 40 | Lecture 40 : Regression Analysis (Part-I) | Download |
| 41 | Lecture 41 : Regression Analysis (Part-II) | Download |
| 42 | Lecture 42 : Regression Analysis (Part-III) | Download |
| 43 | Lecture 43 : Tutorial on Relation Analysis | Download |
| 44 | Lecture 44 : Auto-Regression Analysis | Download |
| 45 | Lecture 45 : Logistic Regression (Part-I) | Download |
| 46 | Lecture 46: Logistic Regression (Part-II) | Download |
| 47 | Lecture 47: Logistic Regression (Part-III) | Download |
| 48 | Lecture 48: Tutorial on Logistic Regression | Download |
| 49 | Lecture 49: Introduction | Download |
| 50 | Lecture 50: Bayes Classification (Part-I) | Download |
| 51 | Lecture 51 : Bayesian Classification (Part—II) | Download |
| 52 | Lecture 52 : k-Nearest Neighbor Classification | Download |
| 53 | Lecture 53 : Tutorial on Classification Techniques | Download |
| 54 | Lecture 54 : Support Vector Machine (Part-I) | Download |
| 55 | Lecture 55 : Support Vector Machine (Part-II) | Download |
| 56 | Lecture 56: SVM (Part-III) | Download |
| 57 | Lecture 57: SVM (Part-IV) | Download |
| 58 | Lecture 58: SVM (Part-V) | Download |
| 59 | Download | |
| 60 | Lecture 60: Tutorial on SVM | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 01: Introduction to Reliability Engineering | PDF unavailable |
| 2 | Lecture 02: Introduction to Statistical Methods in Reliability | PDF unavailable |
| 3 | Lecture 03: Concept of Probability and Probability Theory | PDF unavailable |
| 4 | Lecture 04: Tutorial on Introduction to RE, SL and Probability Theory (Part-I) | PDF unavailable |
| 5 | Lecture 05: Conditional, Total and Reverse Probability | PDF unavailable |
| 6 | Lecture 06 : Tutorial on Conditional Probability and Total Probability | PDF unavailable |
| 7 | Lecture 07 : Introduction to Probability Distributions | PDF unavailable |
| 8 | Lecture 08 : Introduction to Probability Distributions(Contd.) | PDF unavailable |
| 9 | Lecture 09 : Discrete Probability Distribution (Part 1) | PDF unavailable |
| 10 | Lecture 10 : Discrete Probability Distribution (Part 2) | PDF unavailable |
| 11 | Lecture 11 : Tutorial on Discrete Probability Distributions | PDF unavailable |
| 12 | Lecture 12 : Continuous Probability Distributions (Part 1) | PDF unavailable |
| 13 | Lecture 13 : Continuous Probability Distributions (Part 2) | PDF unavailable |
| 14 | Lecture 14 : Tutorial on Continuous Probability Distribution Functions (Part-1) | PDF unavailable |
| 15 | Lecture 15 : Tutorial on Continuous Probability Distribution Functions (Part 2) | PDF unavailable |
| 16 | Lecture 16 : Sampling Distributions (Part 1) | PDF unavailable |
| 17 | Lecture 17 : Sampling Distributions (Part 2) | PDF unavailable |
| 18 | Lecture 18 : Sampling Distribution (Part 3) | PDF unavailable |
| 19 | Lecture 19 : Sampling Distribution (Part 4) | PDF unavailable |
| 20 | Lecture 20 : Sampling Distribution (Part 5) | PDF unavailable |
| 21 | Lecture 21 : Tutorial on Sampling Distributions | PDF unavailable |
| 22 | Lecture 22 : Statistical Inference (Part 1) | PDF unavailable |
| 23 | Lecture 23 : Statistical Inference (Part 2) | PDF unavailable |
| 24 | Lecture 24 : Statistical Inference (Part 3) | PDF unavailable |
| 25 | Lecture 25 : Tutorial on Statistical Inference | PDF unavailable |
| 26 | Lecture 26 : Statistical Inference (Part 4) | PDF unavailable |
| 27 | Lecture 27 : Statistical Inference (Part 5) | PDF unavailable |
| 28 | Lecture 28 : Tutorial on Confidence Interval | PDF unavailable |
| 29 | Lecture 29 : Statistical Inference (Part 6) | PDF unavailable |
| 30 | Lecture 30 : Statistical Inference (Part 7) | PDF unavailable |
| 31 | Lecture 31 : Statistical Inference (Part 8) | PDF unavailable |
| 32 | Lecture 32 : ANOVA-I | PDF unavailable |
| 33 | Lecture 33 : ANOVA-II | PDF unavailable |
| 34 | Lecture 34 : ANOVA – III | PDF unavailable |
| 35 | Lecture 35 : ANOVA – IV | PDF unavailable |
| 36 | Lecture 36 : ANOVA – V | PDF unavailable |
| 37 | Lecture 37 : ANOVA – VI | PDF unavailable |
| 38 | Lecture 38 : Correlation Analysis (Part-I) | PDF unavailable |
| 39 | Lecture 39 : Correlation Analysis (Part-II) | PDF unavailable |
| 40 | Lecture 40 : Regression Analysis (Part-I) | PDF unavailable |
| 41 | Lecture 41 : Regression Analysis (Part-II) | PDF unavailable |
| 42 | Lecture 42 : Regression Analysis (Part-III) | PDF unavailable |
| 43 | Lecture 43 : Tutorial on Relation Analysis | PDF unavailable |
| 44 | Lecture 44 : Auto-Regression Analysis | PDF unavailable |
| 45 | Lecture 45 : Logistic Regression (Part-I) | PDF unavailable |
| 46 | Lecture 46: Logistic Regression (Part-II) | PDF unavailable |
| 47 | Lecture 47: Logistic Regression (Part-III) | PDF unavailable |
| 48 | Lecture 48: Tutorial on Logistic Regression | PDF unavailable |
| 49 | Lecture 49: Introduction | PDF unavailable |
| 50 | Lecture 50: Bayes Classification (Part-I) | PDF unavailable |
| 51 | Lecture 51 : Bayesian Classification (Part—II) | PDF unavailable |
| 52 | Lecture 52 : k-Nearest Neighbor Classification | PDF unavailable |
| 53 | Lecture 53 : Tutorial on Classification Techniques | PDF unavailable |
| 54 | Lecture 54 : Support Vector Machine (Part-I) | PDF unavailable |
| 55 | Lecture 55 : Support Vector Machine (Part-II) | PDF unavailable |
| 56 | Lecture 56: SVM (Part-III) | PDF unavailable |
| 57 | Lecture 57: SVM (Part-IV) | PDF unavailable |
| 58 | Lecture 58: SVM (Part-V) | PDF unavailable |
| 59 | PDF unavailable | |
| 60 | Lecture 60: Tutorial on SVM | 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 |