Learn · NPTEL

Course113101096100 lectures

Dealing with materials data : collection, analysis and interpretation

Prof. M P Gururajan Prof. Hina Gokhale · IIT Bombay

Start with lecture 1 At NPTEL

Lectures

Week 1

  1. Lecture 1: Descriptive Statistics-I Video
  2. Lecture 2: Descriptive Statistics-II Video
  3. Lecture 3: Probability and Distribution Video
  4. Lecture 4: Random variable and Expectation I Video
  5. Lecture 5: Random variable and Expectation II Video
  6. Lecture 6: Random variable and Expectation III Video
  7. Lecture 7: Random variable and Expectation IV Video

Week 2

  1. Lecture 8: Module: Introduction to R Video
  2. Lecture 9: R : Demos and getting help Video
  3. Lecture 10: R as calculator and plotter: Diffusivity, scaled temperatures Video
  4. Lecture 11: R as calculator and plotter: Diffraction, configurational entropy Video
  5. Lecture 12: Data in tabular form: Properties of elements Video
  6. Lecture 13: Tabular data in R: alternate methodology Video
  7. Lecture 14: Dataframe in R: Properties of elements Video
  8. Lecture 15: R libraries for plotting Video
  9. Lecture 16: Importing and plotting data Video
  10. Lecture 17: Property charts: Importing and plotting data Video
  11. Lecture 18: Introduction to R: Summary of the module Video

Week 3

  1. Lecture 19: Descriptive statistics Video
  2. Lecture 20: Presenting experimental results: Data on conductivity of ETP copper Video
  3. Lecture 21: Property based reports, errors, significant digits Video
  4. Lecture 22: Dealing with distributions: Grain size data Video
  5. Lecture 23: Grain size data: Property and rank based reports Video
  6. Lecture 24: Case study: Grain size in a two phase steel Video
  7. Lecture 25: Grain size in a two phase steel: Descriptive statistics Video
  8. Lecture 26: Presenting experimental results: data with error bars Video
  9. Lecture 27: Errors and their propagation Video
  10. Lecture 28: Fitting experimental data to distributions Video
  11. Lecture 29: Combining uncertainties Video
  12. Lecture 30: Summary:Descriptive statistics Video

Week 4

  1. Lecture 31: Special Random Variables I Video
  2. Lecture 32: Special Random Variables II Video
  3. Lecture 33: Special Random Variables III Video
  4. Lecture 34: Special Random Variables IV Video
  5. Lecture 35: Special Random Variables V Video
  6. Lecture 36: Probabilty Plots Video

Week 5

  1. Lecture 37: Probability distributions Video
  2. Lecture 38: Properties of probability distributions Video
  3. Lecture 39: Bernoulli trials and binomial distributions Video
  4. Lecture 40: Atom probe technique and negative binomial distribution Video
  5. Lecture 41: Atom probe and hypergeometric distribution Video
  6. Lecture 42: Atom probe : analysis of error Video
  7. Lecture 43: Nucleation and Poisson distribution Video
  8. Lecture 44: Normal distribution Video
  9. Lecture 45: Normal distribution and error function Video
  10. Lecture 46: Probability scale Video

Week 6

  1. Lecture 47: Sampling Distribution I Video
  2. Lecture 48: Sampling Distribution II Video
  3. Lecture 49: Sampling Distribution III Video
  4. Lecture 50: Parameter Estimation I Video
  5. Lecture 51: Parameter Estimator II Video
  6. Lecture 52: Parameter Estimator III Video
  7. Lecture 53: Parameter Estimator IV Video
  8. Lecture 54: Bayesian Estimation Video

Week 7

  1. Lecture 55: Log normal distribution Video
  2. Lecture 56: Lorentz/Cauchy distribution Video
  3. Lecture 57: Lifetime and exponential distributions Video
  4. Lecture 58: Distributions from statistical mechanics Video
  5. Lecture 59: Uniform distribution and summary of probability distributions Video
  6. Lecture 60: Data processing: Introduction Video
  7. Lecture 61: Distribution function of a data series Video
  8. Lecture 62: Estimating mean and mean-square-deviation of data Video
  9. Lecture 63: Data with unequal weights Video
  10. Lecture 64: Robust estimates Video
  11. Lecture 65: From data to underlying distribution Video
  12. Lecture 66: Bootstrap method Video
  13. Lecture 67: Summary:Data processing Video

Week 8

  1. Lecture 68: Hypothesis Testing I Video
  2. Lecture 69: Hypothesis Testing II Video
  3. Lecture 70: Hypothesis Testing III Video
  4. Lecture 71: Hypothesis Testing IV Video
  5. Lecture 72: Hypothesis Testing V Video
  6. Lecture 73: Hypothesis Testing VI Video

Week 9

  1. Lecture 74: Graphical handling of data Video
  2. Lecture 75: Fitting and graphical handling of data: Introduction Video
  3. Lecture 76: Data transformable to linear Video
  4. Lecture 77: Data of known functional form Video
  5. Lecture 78: Calibration,Fitting,Hypotheses testing Video
  6. Lecture 79: Analysis of variance Video
  7. Lecture 80: Summary:Fittng and graphical handling of data Video

Week 10

  1. Lecture 81: Regression Analysis - I Video
  2. Lecture 82: Regression Analysis - II Video
  3. Lecture 83: Regression Analysis - III Video
  4. Lecture 84: Regression Analysis - IV Video
  5. Lecture 85: Analysis of Variance-I Video
  6. Lecture 86: Analysis of Variance-II Video

Week 11

  1. Lecture 87: Design of Experiment I Video
  2. Lecture 88: Design of Experiment II Video
  3. Lecture 89: Design of Experiment III Video
  4. Lecture 90: Design of Experiment IV Video
  5. Lecture 91: Summary of the course Video

Week 12

  1. Lecture 92: Case studies: Introduction Video
  2. Lecture 93: Case study 1: Data smoothing I Video
  3. Lecture 94: Case study 1: Data smoothing II Video
  4. Lecture 95: Case study 2: Error analysis Video
  5. Lecture 96: Case study 3: Calibration Video
  6. Lecture 97: Case study 4: Design of experiment Video
  7. Lecture 98: Case study 5: Hypothesis testing Video
  8. Lecture 99: Course summary Video

Live Session

  1. Live Session 26-03-2020 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Bombay
Department
Metallurgy and Material Science
Teacher
Prof. M P Gururajan Prof. Hina Gokhale
Level
Undergraduate
Language
English
Subjects
Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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