Modules / Lectures

Module Name | Download |
---|

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 |

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 | PDF unavailable |

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

21 | Lecture 21: Property based reports, errors, significant digits | PDF unavailable |

22 | Lecture 22: Dealing with distributions: Grain size data | PDF unavailable |

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

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

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

26 | Lecture 26: Presenting experimental results: data with error bars | PDF unavailable |

27 | Lecture 27: Errors and their propagation | PDF unavailable |

28 | Lecture 28: Fitting experimental data to distributions | PDF unavailable |

29 | Lecture 29: Combining uncertainties | PDF unavailable |

30 | Lecture 30: Summary:Descriptive statistics | PDF unavailable |

31 | Lecture 31: Special Random Variables I | PDF unavailable |

32 | Lecture 32: Special Random Variables II | PDF unavailable |

33 | Lecture 33: Special Random Variables III | PDF unavailable |

34 | Lecture 34: Special Random Variables IV | PDF unavailable |

35 | Lecture 35: Special Random Variables V | PDF unavailable |

36 | Lecture 36: Probabilty Plots | PDF unavailable |

37 | Lecture 37: Probability distributions | PDF unavailable |

38 | Lecture 38: Properties of probability distributions | PDF unavailable |

39 | Lecture 39: Bernoulli trials and binomial distributions | PDF unavailable |

40 | Lecture 40: Atom probe technique and negative binomial distribution | PDF unavailable |

41 | Lecture 41: Atom probe and hypergeometric distribution | PDF unavailable |

42 | Lecture 42: Atom probe : analysis of error | PDF unavailable |

43 | Lecture 43: Nucleation and Poisson distribution | PDF unavailable |

44 | Lecture 44: Normal distribution | PDF unavailable |

45 | Lecture 45: Normal distribution and error function | PDF unavailable |

46 | Lecture 46: Probability scale | 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 |