| Module Name | Download |
|---|---|
| noc20_mg11_assigment_1 | noc20_mg11_assigment_1 |
| noc20_mg11_assigment_10 | noc20_mg11_assigment_10 |
| noc20_mg11_assigment_11 | noc20_mg11_assigment_11 |
| noc20_mg11_assigment_12 | noc20_mg11_assigment_12 |
| noc20_mg11_assigment_13 | noc20_mg11_assigment_13 |
| noc20_mg11_assigment_2 | noc20_mg11_assigment_2 |
| noc20_mg11_assigment_3 | noc20_mg11_assigment_3 |
| noc20_mg11_assigment_4 | noc20_mg11_assigment_4 |
| noc20_mg11_assigment_5 | noc20_mg11_assigment_5 |
| noc20_mg11_assigment_6 | noc20_mg11_assigment_6 |
| noc20_mg11_assigment_7 | noc20_mg11_assigment_7 |
| noc20_mg11_assigment_8 | noc20_mg11_assigment_8 |
| noc20_mg11_assigment_9 | noc20_mg11_assigment_9 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture 1 | Download |
| 2 | Lecture 2 | Download |
| 3 | Lecture 3 | Download |
| 4 | Lecture 4 | Download |
| 5 | Lecture 5 | Download |
| 6 | Lecture 6 | Download |
| 7 | Lecture 7 | Download |
| 8 | Lecture 8 | Download |
| 9 | Lecture 9 | Download |
| 10 | Lecture 10 | Download |
| 11 | Lecture 11 | Download |
| 12 | Lecture 12 | Download |
| 13 | Lecture 13 | Download |
| 14 | Lecture 14 | Download |
| 15 | Lecture 15 | Download |
| 16 | Lecture 16: Statistical inference | Download |
| 17 | Lecture 17: Testing of Hypothesis | Download |
| 18 | Lecturer 18: Testing of Hypothesis (Contd.) | Download |
| 19 | Lecture 19: Confidence Interval | Download |
| 20 | Lecture 20: Confidence Interval 2 | Download |
| 21 | Lecture 21 | Download |
| 22 | Lecture 22 | Download |
| 23 | Lecture 23 | Download |
| 24 | Lecture 24 | Download |
| 25 | Lecture 25 | Download |
| 26 | Lecture 26 | Download |
| 27 | Lecture 27 | Download |
| 28 | Lecture 28 | Download |
| 29 | Lecture 29 | Download |
| 30 | Lecture 30 | Download |
| 31 | Lecture 31 :Dummy Modelling | Download |
| 32 | Lecture 32 : Dummy Modelling (Contd.) | Download |
| 33 | Lectur 33 : Panel Data Model | Download |
| 34 | Lecture 34 : Panel Data Model (Contd.) | Download |
| 35 | Lecture 35 : Time Series Forecasting | Download |
| 36 | Lecture 36 : Time Series Forecasting (Contd.) | Download |
| 37 | Lecture 37 : Machine Learning | Download |
| 38 | Lecture 38 : Machine Learning (Contd.) | Download |
| 39 | Lecture 39 : Data Mining | Download |
| 40 | Lecture 40 : Simulation | Download |
| 41 | Lecture 41 : Basics | Download |
| 42 | Lecture 42 : Linear Programming 1 | Download |
| 43 | Lecture 43 : Linear Programming 2 | Download |
| 44 | Lecture 44 : Special Issues of Linear Programming | Download |
| 45 | Lecture 45 : Simplex Method of Linear Programming | Download |
| 46 | Lecture 46 | Download |
| 47 | Lecture 47 | Download |
| 48 | Lecture 48 | Download |
| 49 | Lecture 49 | Download |
| 50 | Lecture 50 | Download |
| 51 | Lecture 51 : | Download |
| 52 | Lecture 52 : | Download |
| 53 | Lecture 53 : | Download |
| 54 | Lecture 54 : | Download |
| 55 | Lecture 55: | Download |
| 56 | Lecture 56. Introduction to decision theory | Download |
| 57 | Lecture 57. Decision making under uncertainty | Download |
| 58 | Lecture 58. Decision making under certainty | Download |
| 59 | Lecture 59. Decision tree | Download |
| 60 | Lecture 60. The value of information and utility theory | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 1 | Download To be verified |
| 2 | Lecture 2 | Download To be verified |
| 3 | Lecture 3 | Download To be verified |
| 4 | Lecture 4 | Download To be verified |
| 5 | Lecture 5 | Download To be verified |
| 6 | Lecture 6 | Download To be verified |
| 7 | Lecture 7 | Download To be verified |
| 8 | Lecture 8 | Download To be verified |
| 9 | Lecture 9 | Download To be verified |
| 10 | Lecture 10 | Download To be verified |
| 11 | Lecture 11 | Download To be verified |
| 12 | Lecture 12 | Download To be verified |
| 13 | Lecture 13 | Download To be verified |
| 14 | Lecture 14 | Download To be verified |
| 15 | Lecture 15 | Download To be verified |
| 16 | Lecture 16: Statistical inference | Download To be verified |
| 17 | Lecture 17: Testing of Hypothesis | Download To be verified |
| 18 | Lecturer 18: Testing of Hypothesis (Contd.) | Download To be verified |
| 19 | Lecture 19: Confidence Interval | Download To be verified |
| 20 | Lecture 20: Confidence Interval 2 | Download To be verified |
| 21 | Lecture 21 | Download To be verified |
| 22 | Lecture 22 | Download To be verified |
| 23 | Lecture 23 | Download To be verified |
| 24 | Lecture 24 | Download To be verified |
| 25 | Lecture 25 | Download To be verified |
| 26 | Lecture 26 | Download To be verified |
| 27 | Lecture 27 | Download To be verified |
| 28 | Lecture 28 | Download To be verified |
| 29 | Lecture 29 | Download To be verified |
| 30 | Lecture 30 | Download To be verified |
| 31 | Lecture 31 :Dummy Modelling | Download To be verified |
| 32 | Lecture 32 : Dummy Modelling (Contd.) | Download To be verified |
| 33 | Lectur 33 : Panel Data Model | Download To be verified |
| 34 | Lecture 34 : Panel Data Model (Contd.) | Download To be verified |
| 35 | Lecture 35 : Time Series Forecasting | Download To be verified |
| 36 | Lecture 36 : Time Series Forecasting (Contd.) | Download To be verified |
| 37 | Lecture 37 : Machine Learning | Download To be verified |
| 38 | Lecture 38 : Machine Learning (Contd.) | Download To be verified |
| 39 | Lecture 39 : Data Mining | Download To be verified |
| 40 | Lecture 40 : Simulation | Download To be verified |
| 41 | Lecture 41 : Basics | Download To be verified |
| 42 | Lecture 42 : Linear Programming 1 | Download To be verified |
| 43 | Lecture 43 : Linear Programming 2 | Download To be verified |
| 44 | Lecture 44 : Special Issues of Linear Programming | Download To be verified |
| 45 | Lecture 45 : Simplex Method of Linear Programming | Download To be verified |
| 46 | Lecture 46 | Download To be verified |
| 47 | Lecture 47 | Download To be verified |
| 48 | Lecture 48 | Download To be verified |
| 49 | Lecture 49 | Download To be verified |
| 50 | Lecture 50 | Download To be verified |
| 51 | Lecture 51 : | Download To be verified |
| 52 | Lecture 52 : | Download To be verified |
| 53 | Lecture 53 : | Download To be verified |
| 54 | Lecture 54 : | Download To be verified |
| 55 | Lecture 55: | Download To be verified |
| 56 | Lecture 56. Introduction to decision theory | Download To be verified |
| 57 | Lecture 57. Decision making under uncertainty | Download To be verified |
| 58 | Lecture 58. Decision making under certainty | Download To be verified |
| 59 | Lecture 59. Decision tree | Download To be verified |
| 60 | Lecture 60. The value of information and utility theory | Download To be verified |
| 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 |