# Dealing with materials data : collection, analysis and interpretation

- Institution: IIT Bombay
- Department: Metallurgy and Material Science
- Teacher: Prof. M P Gururajan Prof. Hina Gokhale
- Level: Undergraduate
- Language: English
- Subjects: Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/113101096)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/113101096)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lecture 1: Descriptive Statistics-I](https://invisiblenetwork.ai/learn/nptel/113101096/e1c5367cd3c5) (Video)
2. [Lecture 2: Descriptive Statistics-II](https://invisiblenetwork.ai/learn/nptel/113101096/1160bda37f41) (Video)
3. [Lecture 3: Probability and Distribution](https://invisiblenetwork.ai/learn/nptel/113101096/1da55c38112e) (Video)
4. [Lecture 4: Random variable and Expectation I](https://invisiblenetwork.ai/learn/nptel/113101096/65a250090bac) (Video)
5. [Lecture 5: Random variable and Expectation II](https://invisiblenetwork.ai/learn/nptel/113101096/c43ec570aecc) (Video)
6. [Lecture 6: Random variable and Expectation III](https://invisiblenetwork.ai/learn/nptel/113101096/6db2fee02de9) (Video)
7. [Lecture 7: Random variable and Expectation IV](https://invisiblenetwork.ai/learn/nptel/113101096/c0faea820875) (Video)
8. [Lecture 8: Module: Introduction to R](https://invisiblenetwork.ai/learn/nptel/113101096/2ed629cb6cac) (Video)
9. [Lecture 9: R : Demos and getting help](https://invisiblenetwork.ai/learn/nptel/113101096/92844c4d0631) (Video)
10. [Lecture 10: R as calculator and plotter: Diffusivity, scaled temperatures](https://invisiblenetwork.ai/learn/nptel/113101096/da63ad02f979) (Video)
11. [Lecture 11: R as calculator and plotter: Diffraction, configurational entropy](https://invisiblenetwork.ai/learn/nptel/113101096/0325626bb785) (Video)
12. [Lecture 12: Data in tabular form: Properties of elements](https://invisiblenetwork.ai/learn/nptel/113101096/d1e3c94156c6) (Video)
13. [Lecture 13: Tabular data in R: alternate methodology](https://invisiblenetwork.ai/learn/nptel/113101096/9410501cd24d) (Video)
14. [Lecture 14: Dataframe in R: Properties of elements](https://invisiblenetwork.ai/learn/nptel/113101096/c013f667bd08) (Video)
15. [Lecture 15: R libraries for plotting](https://invisiblenetwork.ai/learn/nptel/113101096/3bac2525a876) (Video)
16. [Lecture 16: Importing and plotting data](https://invisiblenetwork.ai/learn/nptel/113101096/b1febe0c0c81) (Video)
17. [Lecture 17: Property charts: Importing and plotting data](https://invisiblenetwork.ai/learn/nptel/113101096/af22df4c2938) (Video)
18. [Lecture 18: Introduction to R: Summary of the module](https://invisiblenetwork.ai/learn/nptel/113101096/cf78c562f067) (Video)
19. [Lecture 19: Descriptive statistics](https://invisiblenetwork.ai/learn/nptel/113101096/378240c0edde) (Video)
20. [Lecture 20: Presenting experimental results: Data on conductivity of ETP copper](https://invisiblenetwork.ai/learn/nptel/113101096/50d4499be2be) (Video)
21. [Lecture 21: Property based reports, errors, significant digits](https://invisiblenetwork.ai/learn/nptel/113101096/67c1a4b6af3f) (Video)
22. [Lecture 22: Dealing with distributions: Grain size data](https://invisiblenetwork.ai/learn/nptel/113101096/99dfcdf424c2) (Video)
23. [Lecture 23: Grain size data: Property and rank based reports](https://invisiblenetwork.ai/learn/nptel/113101096/38a6abcc6039) (Video)
24. [Lecture 24: Case study: Grain size in a two phase steel](https://invisiblenetwork.ai/learn/nptel/113101096/d5fe4c1fb490) (Video)
25. [Lecture 25: Grain size in a two phase steel: Descriptive statistics](https://invisiblenetwork.ai/learn/nptel/113101096/6db24f2ee0ac) (Video)
26. [Lecture 26: Presenting experimental results: data with error bars](https://invisiblenetwork.ai/learn/nptel/113101096/370b8d188e33) (Video)
27. [Lecture 27: Errors and their propagation](https://invisiblenetwork.ai/learn/nptel/113101096/306dee7239a6) (Video)
28. [Lecture 28: Fitting experimental data to distributions](https://invisiblenetwork.ai/learn/nptel/113101096/d157b8b500ca) (Video)
29. [Lecture 29: Combining uncertainties](https://invisiblenetwork.ai/learn/nptel/113101096/c440b111a446) (Video)
30. [Lecture 30: Summary:Descriptive statistics](https://invisiblenetwork.ai/learn/nptel/113101096/7493d7364c51) (Video)
31. [Lecture 31: Special Random Variables I](https://invisiblenetwork.ai/learn/nptel/113101096/829d36c4f70c) (Video)
32. [Lecture 32: Special Random Variables II](https://invisiblenetwork.ai/learn/nptel/113101096/c6fccd9ba6e9) (Video)
33. [Lecture 33: Special Random Variables III](https://invisiblenetwork.ai/learn/nptel/113101096/3fc8fd0f2ed4) (Video)
34. [Lecture 34: Special Random Variables IV](https://invisiblenetwork.ai/learn/nptel/113101096/c1bda6d19ce1) (Video)
35. [Lecture 35: Special Random Variables V](https://invisiblenetwork.ai/learn/nptel/113101096/85d5ee24235c) (Video)
36. [Lecture 36: Probabilty Plots](https://invisiblenetwork.ai/learn/nptel/113101096/cfbf3e3c021b) (Video)
37. [Lecture 37: Probability distributions](https://invisiblenetwork.ai/learn/nptel/113101096/d361b7858cdd) (Video)
38. [Lecture 38: Properties of probability distributions](https://invisiblenetwork.ai/learn/nptel/113101096/d2a088105a48) (Video)
39. [Lecture 39: Bernoulli trials and binomial distributions](https://invisiblenetwork.ai/learn/nptel/113101096/eb6e060d3c8e) (Video)
40. [Lecture 40: Atom probe technique and negative binomial distribution](https://invisiblenetwork.ai/learn/nptel/113101096/c51399326d64) (Video)
41. [Lecture 41: Atom probe and hypergeometric distribution](https://invisiblenetwork.ai/learn/nptel/113101096/a26182425ac8) (Video)
42. [Lecture 42: Atom probe : analysis of error](https://invisiblenetwork.ai/learn/nptel/113101096/159e1fbce91c) (Video)
43. [Lecture 43: Nucleation and Poisson distribution](https://invisiblenetwork.ai/learn/nptel/113101096/0d48d8dfb292) (Video)
44. [Lecture 44: Normal distribution](https://invisiblenetwork.ai/learn/nptel/113101096/c00f1987c265) (Video)
45. [Lecture 45: Normal distribution and error function](https://invisiblenetwork.ai/learn/nptel/113101096/bc98b5bd9e6a) (Video)
46. [Lecture 46: Probability scale](https://invisiblenetwork.ai/learn/nptel/113101096/df15ee312a94) (Video)
47. [Lecture 47: Sampling Distribution I](https://invisiblenetwork.ai/learn/nptel/113101096/c7708eab2477) (Video)
48. [Lecture 48: Sampling Distribution II](https://invisiblenetwork.ai/learn/nptel/113101096/186073300324) (Video)
49. [Lecture 49: Sampling Distribution III](https://invisiblenetwork.ai/learn/nptel/113101096/8a89c0020aee) (Video)
50. [Lecture 50: Parameter Estimation I](https://invisiblenetwork.ai/learn/nptel/113101096/d852e8e67acc) (Video)
51. [Lecture 51: Parameter Estimator II](https://invisiblenetwork.ai/learn/nptel/113101096/80262f338719) (Video)
52. [Lecture 52: Parameter Estimator III](https://invisiblenetwork.ai/learn/nptel/113101096/11be74c9bdec) (Video)
53. [Lecture 53: Parameter Estimator IV](https://invisiblenetwork.ai/learn/nptel/113101096/e5b6608e5bc7) (Video)
54. [Lecture 54: Bayesian Estimation](https://invisiblenetwork.ai/learn/nptel/113101096/78d3df121993) (Video)
55. [Lecture 55: Log normal distribution](https://invisiblenetwork.ai/learn/nptel/113101096/eb71ff554d23) (Video)
56. [Lecture 56: Lorentz/Cauchy distribution](https://invisiblenetwork.ai/learn/nptel/113101096/7026e0a1a3db) (Video)
57. [Lecture 57: Lifetime and exponential distributions](https://invisiblenetwork.ai/learn/nptel/113101096/a82bbd273ec9) (Video)
58. [Lecture 58: Distributions from statistical mechanics](https://invisiblenetwork.ai/learn/nptel/113101096/4e168a806b2f) (Video)
59. [Lecture 59: Uniform distribution and summary of probability distributions](https://invisiblenetwork.ai/learn/nptel/113101096/30d021f70144) (Video)
60. [Lecture 60: Data processing: Introduction](https://invisiblenetwork.ai/learn/nptel/113101096/5f4c92c86abd) (Video)
61. [Lecture 61: Distribution function of a data series](https://invisiblenetwork.ai/learn/nptel/113101096/84c22f707cc3) (Video)
62. [Lecture 62: Estimating mean and mean-square-deviation of data](https://invisiblenetwork.ai/learn/nptel/113101096/37e362278c20) (Video)
63. [Lecture 63: Data with unequal weights](https://invisiblenetwork.ai/learn/nptel/113101096/d2da01edaa1b) (Video)
64. [Lecture 64: Robust estimates](https://invisiblenetwork.ai/learn/nptel/113101096/2561f060c1f2) (Video)
65. [Lecture 65: From data to underlying distribution](https://invisiblenetwork.ai/learn/nptel/113101096/a2820506bbf1) (Video)
66. [Lecture 66: Bootstrap method](https://invisiblenetwork.ai/learn/nptel/113101096/d024d700a889) (Video)
67. [Lecture 67: Summary:Data processing](https://invisiblenetwork.ai/learn/nptel/113101096/b7c29e97bca1) (Video)
68. [Lecture 68: Hypothesis Testing I](https://invisiblenetwork.ai/learn/nptel/113101096/0c3bdc58f760) (Video)
69. [Lecture 69: Hypothesis Testing II](https://invisiblenetwork.ai/learn/nptel/113101096/0205e5f48b5b) (Video)
70. [Lecture 70: Hypothesis Testing III](https://invisiblenetwork.ai/learn/nptel/113101096/e500c65c2b81) (Video)
71. [Lecture 71: Hypothesis Testing IV](https://invisiblenetwork.ai/learn/nptel/113101096/97f6d946ce0d) (Video)
72. [Lecture 72: Hypothesis Testing V](https://invisiblenetwork.ai/learn/nptel/113101096/91ae13758faa) (Video)
73. [Lecture 73: Hypothesis Testing VI](https://invisiblenetwork.ai/learn/nptel/113101096/909d01cdebca) (Video)
74. [Lecture 74: Graphical handling of data](https://invisiblenetwork.ai/learn/nptel/113101096/feed501d52c1) (Video)
75. [Lecture 75: Fitting and graphical handling of data: Introduction](https://invisiblenetwork.ai/learn/nptel/113101096/80c09639c325) (Video)
76. [Lecture 76: Data transformable to linear](https://invisiblenetwork.ai/learn/nptel/113101096/f4e5def966ce) (Video)
77. [Lecture 77: Data of known functional form](https://invisiblenetwork.ai/learn/nptel/113101096/706fa1aaaf5c) (Video)
78. [Lecture 78: Calibration,Fitting,Hypotheses testing](https://invisiblenetwork.ai/learn/nptel/113101096/1c1021ddf38f) (Video)
79. [Lecture 79: Analysis of variance](https://invisiblenetwork.ai/learn/nptel/113101096/1f663274e1a1) (Video)
80. [Lecture 80: Summary:Fittng and graphical handling of data](https://invisiblenetwork.ai/learn/nptel/113101096/7fa781838acc) (Video)
81. [Lecture 81: Regression Analysis - I](https://invisiblenetwork.ai/learn/nptel/113101096/c8e63ca7f6e5) (Video)
82. [Lecture 82: Regression Analysis - II](https://invisiblenetwork.ai/learn/nptel/113101096/6c08384c53cd) (Video)
83. [Lecture 83: Regression Analysis - III](https://invisiblenetwork.ai/learn/nptel/113101096/40868b649391) (Video)
84. [Lecture 84: Regression Analysis - IV](https://invisiblenetwork.ai/learn/nptel/113101096/8f7288dcf824) (Video)
85. [Lecture 85: Analysis of Variance-I](https://invisiblenetwork.ai/learn/nptel/113101096/514fabf7d131) (Video)
86. [Lecture 86: Analysis of Variance-II](https://invisiblenetwork.ai/learn/nptel/113101096/e32114058cb9) (Video)
87. [Lecture 87: Design of Experiment I](https://invisiblenetwork.ai/learn/nptel/113101096/e65b12f292c5) (Video)
88. [Lecture 88: Design of Experiment II](https://invisiblenetwork.ai/learn/nptel/113101096/44342caf1ba6) (Video)
89. [Lecture 89: Design of Experiment III](https://invisiblenetwork.ai/learn/nptel/113101096/f02f7e5665fb) (Video)
90. [Lecture 90: Design of Experiment IV](https://invisiblenetwork.ai/learn/nptel/113101096/29f130d2239b) (Video)
91. [Lecture 91: Summary of the course](https://invisiblenetwork.ai/learn/nptel/113101096/5776dc8d3a93) (Video)
92. [Lecture 92: Case studies: Introduction](https://invisiblenetwork.ai/learn/nptel/113101096/b1e50645ed19) (Video)
93. [Lecture 93: Case study 1: Data smoothing I](https://invisiblenetwork.ai/learn/nptel/113101096/4f78d8bb0258) (Video)
94. [Lecture 94: Case study 1: Data smoothing II](https://invisiblenetwork.ai/learn/nptel/113101096/61492858c9f9) (Video)
95. [Lecture 95: Case study 2: Error analysis](https://invisiblenetwork.ai/learn/nptel/113101096/105f45c655f2) (Video)
96. [Lecture 96: Case study 3: Calibration](https://invisiblenetwork.ai/learn/nptel/113101096/b464398ae778) (Video)
97. [Lecture 97: Case study 4: Design of experiment](https://invisiblenetwork.ai/learn/nptel/113101096/30ccf3206fa8) (Video)
98. [Lecture 98: Case study 5: Hypothesis testing](https://invisiblenetwork.ai/learn/nptel/113101096/cad19bd9b29a) (Video)
99. [Lecture 99: Course summary](https://invisiblenetwork.ai/learn/nptel/113101096/384f0f9fc9a6) (Video)
100. [Live Session 26-03-2020](https://invisiblenetwork.ai/learn/nptel/113101096/e1c5367cd3c5-2) (Video)