Modules / Lectures

Module Name | Download |
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noc20_mm11_assignment_Week_0 | noc20_mm11_assignment_Week_0 |

noc20_mm11_assignment_Week_1 | noc20_mm11_assignment_Week_1 |

noc20_mm11_assignment_Week_10 | noc20_mm11_assignment_Week_10 |

noc20_mm11_assignment_Week_11 | noc20_mm11_assignment_Week_11 |

noc20_mm11_assignment_Week_12 | noc20_mm11_assignment_Week_12 |

noc20_mm11_assignment_Week_2 | noc20_mm11_assignment_Week_2 |

noc20_mm11_assignment_Week_3 | noc20_mm11_assignment_Week_3 |

noc20_mm11_assignment_Week_4 | noc20_mm11_assignment_Week_4 |

noc20_mm11_assignment_Week_5 | noc20_mm11_assignment_Week_5 |

noc20_mm11_assignment_Week_6 | noc20_mm11_assignment_Week_6 |

noc20_mm11_assignment_Week_8 | noc20_mm11_assignment_Week_8 |

noc20_mm11_assignment_Week_9 | noc20_mm11_assignment_Week_9 |

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

1 | Lecture 1: Descriptive Statistics-I | Download |

2 | Lecture 2: Descriptive Statistics-II | Download |

3 | Lecture 3: Probability and Distribution | Download |

4 | Lecture 4: Random variable and Expectation I | Download |

5 | Lecture 5: Random variable and Expectation II | Download |

6 | Lecture 6: Random variable and Expectation III | Download |

7 | Lecture 7: Random variable and Expectation IV | Download |

8 | Lecture 8: Module: Introduction to R | Download |

9 | Lecture 9: R : Demos and getting help | Download |

10 | Lecture 10: R as calculator and plotter: Diffusivity, scaled temperatures | Download |

11 | Lecture 11: R as calculator and plotter: Diffraction, configurational entropy | Download |

12 | Lecture 12: Data in tabular form: Properties of elements | Download |

13 | Lecture 13: Tabular data in R: alternate methodology | Download |

14 | Lecture 14: Dataframe in R: Properties of elements | Download |

15 | Lecture 15: R libraries for plotting | Download |

16 | Lecture 16: Importing and plotting data | Download |

17 | Lecture 17: Property charts: Importing and plotting data | Download |

18 | Lecture 18: Introduction to R: Summary of the module | Download |

19 | Lecture 19: Descriptive statistics | Download |

20 | Lecture 20: Presenting experimental results: Data on conductivity of ETP copper | Download |

21 | Lecture 21: Property based reports, errors, significant digits | Download |

22 | Lecture 22: Dealing with distributions: Grain size data | Download |

23 | Lecture 23: Grain size data: Property and rank based reports | Download |

24 | Lecture 24: Case study: Grain size in a two phase steel | Download |

25 | Lecture 25: Grain size in a two phase steel: Descriptive statistics | Download |

26 | Lecture 26: Presenting experimental results: data with error bars | Download |

27 | Lecture 27: Errors and their propagation | Download |

28 | Lecture 28: Fitting experimental data to distributions | Download |

29 | Lecture 29: Combining uncertainties | Download |

30 | Lecture 30: Summary:Descriptive statistics | Download |

31 | Lecture 31: Special Random Variables I | Download |

32 | Lecture 32: Special Random Variables II | Download |

33 | Lecture 33: Special Random Variables III | Download |

34 | Lecture 34: Special Random Variables IV | Download |

35 | Lecture 35: Special Random Variables V | Download |

36 | Lecture 36: Probabilty Plots | Download |

37 | Lecture 37: Probability distributions | Download |

38 | Lecture 38: Properties of probability distributions | Download |

39 | Lecture 39: Bernoulli trials and binomial distributions | Download |

40 | Lecture 40: Atom probe technique and negative binomial distribution | Download |

41 | Lecture 41: Atom probe and hypergeometric distribution | Download |

42 | Lecture 42: Atom probe : analysis of error | Download |

43 | Lecture 43: Nucleation and Poisson distribution | Download |

44 | Lecture 44: Normal distribution | Download |

45 | Lecture 45: Normal distribution and error function | Download |

46 | Lecture 46: Probability scale | Download |

47 | Lecture 47: Sampling Distribution I | Download |

48 | Lecture 48: Sampling Distribution II | Download |

49 | Lecture 49: Sampling Distribution III | Download |

50 | Lecture 50: Parameter Estimation I | Download |

51 | Lecture 51: Parameter Estimator II | Download |

52 | Lecture 52: Parameter Estimator III | Download |

53 | Lecture 53: Parameter Estimator IV | Download |

54 | Lecture 54: Bayesian Estimation | Download |

55 | Lecture 55: Log normal distribution | Download |

56 | Lecture 56: Lorentz/Cauchy distribution | Download |

57 | Lecture 57: Lifetime and exponential distributions | Download |

58 | Lecture 58: Distributions from statistical mechanics | Download |

59 | Lecture 59: Uniform distribution and summary of probability distributions | Download |

60 | Lecture 60: Data processing: Introduction | Download |

61 | Lecture 61: Distribution function of a data series | Download |

62 | Lecture 62: Estimating mean and mean-square-deviation of data | Download |

63 | Lecture 63: Data with unequal weights | Download |

64 | Lecture 64: Robust estimates | Download |

65 | Lecture 65: From data to underlying distribution | Download |

66 | Lecture 66: Bootstrap method | Download |

67 | Lecture 67: Summary:Data processing | Download |

68 | Lecture 68: Hypothesis Testing I | Download |

69 | Lecture 69: Hypothesis Testing II | Download |

70 | Lecture 70: Hypothesis Testing III | Download |

71 | Lecture 71: Hypothesis Testing IV | Download |

72 | Lecture 72: Hypothesis Testing V | Download |

73 | Lecture 73: Hypothesis Testing VI | Download |

74 | Lecture 74: Graphical handling of data | Download |

75 | Lecture 75: Fitting and graphical handling of data: Introduction | Download |

76 | Lecture 76: Data transformable to linear | Download |

77 | Lecture 77: Data of known functional form | Download |

78 | Lecture 78: Calibration,Fitting,Hypotheses testing | Download |

79 | Lecture 79: Analysis of variance | Download |

80 | Lecture 80: Summary:Fittng and graphical handling of data | Download |

81 | Lecture 81: Regression Analysis - I | Download |

82 | Lecture 82: Regression Analysis - II | Download |

83 | Lecture 83: Regression Analysis - III | Download |

84 | Lecture 84: Regression Analysis - IV | Download |

85 | Lecture 85: Analysis of Variance-I | Download |

86 | Lecture 86: Analysis of Variance-II | Download |

87 | Lecture 87: Design of Experiment I | Download |

88 | Lecture 88: Design of Experiment II | Download |

89 | Lecture 89: Design of Experiment III | Download |

90 | Lecture 90: Design of Experiment IV | Download |

91 | Lecture 91: Summary of the course | Download |

92 | Lecture 92: Case studies: Introduction | Download |

93 | Lecture 93: Case study 1: Data smoothing I | Download |

94 | Lecture 94: Case study 1: Data smoothing II | Download |

95 | Lecture 95: Case study 2: Error analysis | Download |

96 | Lecture 96: Case study 3: Calibration | Download |

97 | Lecture 97: Case study 4: Design of experiment | Download |

98 | Lecture 98: Case study 5: Hypothesis testing | Download |

99 | Lecture 99: Course summary | Download |

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

1 | Lecture 1: Descriptive Statistics-I | Download Verified |

2 | Lecture 2: Descriptive Statistics-II | Download Verified |

3 | Lecture 3: Probability and Distribution | Download Verified |

4 | Lecture 4: Random variable and Expectation I | Download Verified |

5 | Lecture 5: Random variable and Expectation II | Download Verified |

6 | Lecture 6: Random variable and Expectation III | Download Verified |

7 | Lecture 7: Random variable and Expectation IV | Download Verified |

8 | Lecture 8: Module: Introduction to R | Download Verified |

9 | Lecture 9: R : Demos and getting help | Download Verified |

10 | Lecture 10: R as calculator and plotter: Diffusivity, scaled temperatures | Download Verified |

11 | Lecture 11: R as calculator and plotter: Diffraction, configurational entropy | Download Verified |

12 | Lecture 12: Data in tabular form: Properties of elements | Download Verified |

13 | Lecture 13: Tabular data in R: alternate methodology | Download Verified |

14 | Lecture 14: Dataframe in R: Properties of elements | Download Verified |

15 | Lecture 15: R libraries for plotting | Download Verified |

16 | Lecture 16: Importing and plotting data | Download Verified |

17 | Lecture 17: Property charts: Importing and plotting data | Download Verified |

18 | Lecture 18: Introduction to R: Summary of the module | Download Verified |

19 | Lecture 19: Descriptive statistics | Download Verified |

20 | Lecture 20: Presenting experimental results: Data on conductivity of ETP copper | Download Verified |

21 | Lecture 21: Property based reports, errors, significant digits | Download Verified |

22 | Lecture 22: Dealing with distributions: Grain size data | Download Verified |

23 | Lecture 23: Grain size data: Property and rank based reports | Download Verified |

24 | Lecture 24: Case study: Grain size in a two phase steel | Download Verified |

25 | Lecture 25: Grain size in a two phase steel: Descriptive statistics | Download Verified |

26 | Lecture 26: Presenting experimental results: data with error bars | Download Verified |

27 | Lecture 27: Errors and their propagation | Download Verified |

28 | Lecture 28: Fitting experimental data to distributions | Download Verified |

29 | Lecture 29: Combining uncertainties | Download Verified |

30 | Lecture 30: Summary:Descriptive statistics | Download Verified |

31 | Lecture 31: Special Random Variables I | Download Verified |

32 | Lecture 32: Special Random Variables II | Download Verified |

33 | Lecture 33: Special Random Variables III | Download Verified |

34 | Lecture 34: Special Random Variables IV | Download Verified |

35 | Lecture 35: Special Random Variables V | Download Verified |

36 | Lecture 36: Probabilty Plots | Download Verified |

37 | Lecture 37: Probability distributions | Download Verified |

38 | Lecture 38: Properties of probability distributions | Download Verified |

39 | Lecture 39: Bernoulli trials and binomial distributions | Download Verified |

40 | Lecture 40: Atom probe technique and negative binomial distribution | Download Verified |

41 | Lecture 41: Atom probe and hypergeometric distribution | Download Verified |

42 | Lecture 42: Atom probe : analysis of error | Download Verified |

43 | Lecture 43: Nucleation and Poisson distribution | Download Verified |

44 | Lecture 44: Normal distribution | Download Verified |

45 | Lecture 45: Normal distribution and error function | Download Verified |

46 | Lecture 46: Probability scale | Download Verified |

47 | Lecture 47: Sampling Distribution I | Download Verified |

48 | Lecture 48: Sampling Distribution II | Download Verified |

49 | Lecture 49: Sampling Distribution III | Download Verified |

50 | Lecture 50: Parameter Estimation I | Download Verified |

51 | Lecture 51: Parameter Estimator II | Download Verified |

52 | Lecture 52: Parameter Estimator III | Download Verified |

53 | Lecture 53: Parameter Estimator IV | Download Verified |

54 | Lecture 54: Bayesian Estimation | Download Verified |

55 | Lecture 55: Log normal distribution | Download Verified |

56 | Lecture 56: Lorentz/Cauchy distribution | Download Verified |

57 | Lecture 57: Lifetime and exponential distributions | Download Verified |

58 | Lecture 58: Distributions from statistical mechanics | Download Verified |

59 | Lecture 59: Uniform distribution and summary of probability distributions | Download Verified |

60 | Lecture 60: Data processing: Introduction | Download Verified |

61 | Lecture 61: Distribution function of a data series | Download Verified |

62 | Lecture 62: Estimating mean and mean-square-deviation of data | Download Verified |

63 | Lecture 63: Data with unequal weights | Download Verified |

64 | Lecture 64: Robust estimates | Download Verified |

65 | Lecture 65: From data to underlying distribution | Download Verified |

66 | Lecture 66: Bootstrap method | Download Verified |

67 | Lecture 67: Summary:Data processing | Download Verified |

68 | Lecture 68: Hypothesis Testing I | Download Verified |

69 | Lecture 69: Hypothesis Testing II | Download Verified |

70 | Lecture 70: Hypothesis Testing III | Download Verified |

71 | Lecture 71: Hypothesis Testing IV | Download Verified |

72 | Lecture 72: Hypothesis Testing V | Download Verified |

73 | Lecture 73: Hypothesis Testing VI | Download Verified |

74 | Lecture 74: Graphical handling of data | Download Verified |

75 | Lecture 75: Fitting and graphical handling of data: Introduction | Download Verified |

76 | Lecture 76: Data transformable to linear | Download Verified |

77 | Lecture 77: Data of known functional form | Download Verified |

78 | Lecture 78: Calibration,Fitting,Hypotheses testing | Download Verified |

79 | Lecture 79: Analysis of variance | Download Verified |

80 | Lecture 80: Summary:Fittng and graphical handling of data | Download Verified |

81 | Lecture 81: Regression Analysis - I | Download Verified |

82 | Lecture 82: Regression Analysis - II | Download Verified |

83 | Lecture 83: Regression Analysis - III | Download Verified |

84 | Lecture 84: Regression Analysis - IV | Download Verified |

85 | Lecture 85: Analysis of Variance-I | Download Verified |

86 | Lecture 86: Analysis of Variance-II | Download Verified |

87 | Lecture 87: Design of Experiment I | Download Verified |

88 | Lecture 88: Design of Experiment II | Download Verified |

89 | Lecture 89: Design of Experiment III | Download Verified |

90 | Lecture 90: Design of Experiment IV | Download Verified |

91 | Lecture 91: Summary of the course | Download Verified |

92 | Lecture 92: Case studies: Introduction | Download Verified |

93 | Lecture 93: Case study 1: Data smoothing I | Download Verified |

94 | Lecture 94: Case study 1: Data smoothing II | Download Verified |

95 | Lecture 95: Case study 2: Error analysis | Download Verified |

96 | Lecture 96: Case study 3: Calibration | Download Verified |

97 | Lecture 97: Case study 4: Design of experiment | Download Verified |

98 | Lecture 98: Case study 5: Hypothesis testing | Download Verified |

99 | Lecture 99: Course summary | Download 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 |