# Introductory Materials Informatics

- Institution: IIT Kanpur / IIT Ropar
- Department: Metallurgy and Material Science
- Taught by: Prof. Krishanu Biswas, Prof. Pratik Kumar Ray
- Level: Undergraduate
- Language: English
- Subjects: Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/113104761)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/113104761)
- 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(A) : General Introduction (Part 1)](https://invisiblenetwork.ai/learn/nptel/113104761/c18f2ac9989b) (Video)
2. [Lecture 1(B) : General Introduction (Part 2)](https://invisiblenetwork.ai/learn/nptel/113104761/9e2b16507edb) (Video)
3. [Lecture 2(A) : Statistics & Regression (Part 1)](https://invisiblenetwork.ai/learn/nptel/113104761/67d91f359b6b) (Video)
4. [Lecture 2(B) : Statistics & Regression (Part 2)](https://invisiblenetwork.ai/learn/nptel/113104761/58be43c64478) (Video)
5. [Lecture 3(A) : Probability & Classification (Part 1)](https://invisiblenetwork.ai/learn/nptel/113104761/7843e1ecdf1c) (Video)
6. [Lecture 3(B) : (Part - 2) Probability & Classification](https://invisiblenetwork.ai/learn/nptel/113104761/70f0f7bf2763) (Video)
7. [Lecture 4(A) : (Part-1) Data Handling - I](https://invisiblenetwork.ai/learn/nptel/113104761/ed519c00b8a8) (Video)
8. [Lecture 4(B) : (Part-2) Data Handling - I](https://invisiblenetwork.ai/learn/nptel/113104761/1d8cceb5cb7b) (Video)
9. [Lecture 5(A) : (Part-1) Data Handling - II](https://invisiblenetwork.ai/learn/nptel/113104761/e9c0777eb4c8) (Video)
10. [Lecture 5(B) : (Part-2) Data Handling - II](https://invisiblenetwork.ai/learn/nptel/113104761/e5794feb6eea) (Video)
11. [Lecture 6(A) : Materials Informatics in Action (Part - 1)](https://invisiblenetwork.ai/learn/nptel/113104761/52f8d8e7df05) (Video)
12. [Lecture 6(B) : Materials Informatics in Action (Part - 2)](https://invisiblenetwork.ai/learn/nptel/113104761/0ea616a62509) (Video)
13. [Lecture 7(A) : The Gradient Descent Methods (Part - 1)](https://invisiblenetwork.ai/learn/nptel/113104761/627ef7ed53f9) (Video)
14. [Lecture 7(B) : The Gradient Descent Methods (Part - 2)](https://invisiblenetwork.ai/learn/nptel/113104761/f5cc0c563d0d) (Video)
15. [Lecture 8(A) : Regularization and solvers in regression](https://invisiblenetwork.ai/learn/nptel/113104761/ac46480d6870) (Video)
16. [Lecture 8(B) : Regularization and solvers in regression](https://invisiblenetwork.ai/learn/nptel/113104761/fc9f5ab13068) (Video)
17. [Lecture 9(A) : Various Types of Machine Learning (Part-1)](https://invisiblenetwork.ai/learn/nptel/113104761/1642cd321fd8) (Video)
18. [Lecture 9(B) : Various Types of Machine Learning (Part-2)](https://invisiblenetwork.ai/learn/nptel/113104761/ea961a1f5006) (Video)
19. [Lecture 10(A) : Describing the Problems (Part-1)](https://invisiblenetwork.ai/learn/nptel/113104761/445dc1a4d3f1) (Video)
20. [Lecture 10(B) : Describing the Problems (Part-2)](https://invisiblenetwork.ai/learn/nptel/113104761/9aedcf94813c) (Video)
21. [L11(A) : Linear Models (Part-1)](https://invisiblenetwork.ai/learn/nptel/113104761/13005697bd6e) (Video)
22. [L11(B) : Linear Models (Part-2)](https://invisiblenetwork.ai/learn/nptel/113104761/483319307699) (Video)
23. [L12(A) : Decisions Tree (Part-1)](https://invisiblenetwork.ai/learn/nptel/113104761/58e5c485c71a) (Video)
24. [L12(B) : Decisions Tree (Part-2)](https://invisiblenetwork.ai/learn/nptel/113104761/3caa892b9172) (Video)
25. [L13(A) : Decision Trees (Part-1)](https://invisiblenetwork.ai/learn/nptel/113104761/a0e64c7d1f3f) (Video)
26. [Lecture 13(B) : Support Vector Machine (part - 2)](https://invisiblenetwork.ai/learn/nptel/113104761/368b9f5f912f) (Video)
27. [Lecture 14(A) : Support Vector Machine (part -1)](https://invisiblenetwork.ai/learn/nptel/113104761/a88ee56e2f7b) (Video)
28. [Lecture 14(B) : Support Vector Machine and Neural Networks (part - 2)](https://invisiblenetwork.ai/learn/nptel/113104761/1bbb4915307c) (Video)
29. [Lecture 15(A) : Neural Networks (part -1)](https://invisiblenetwork.ai/learn/nptel/113104761/ba58a2a1dcb9) (Video)
30. [Lecture 15(B) : Neural Networks (part - 2)](https://invisiblenetwork.ai/learn/nptel/113104761/b5601517d23e) (Video)
31. [Lecture 16(A) : Clustering (Part - 1)](https://invisiblenetwork.ai/learn/nptel/113104761/31122011b5d8) (Video)
32. [Lecture 16(B) : Clustering (Part - 2)](https://invisiblenetwork.ai/learn/nptel/113104761/09b735d10b43) (Video)
33. [Lecture 17(A) : Model Selection (Part - 1)](https://invisiblenetwork.ai/learn/nptel/113104761/d493ef9f3157) (Video)
34. [Lecture 17(B) : Clustering (Part - 2)](https://invisiblenetwork.ai/learn/nptel/113104761/22658b9bdbef) (Video)
35. [Lecture 18(A) : Visualization (Part - 1)](https://invisiblenetwork.ai/learn/nptel/113104761/2fba6b03e524) (Video)
36. [Lecture 18(B) : Visualization and transformation (Part - 2)](https://invisiblenetwork.ai/learn/nptel/113104761/f57bb92cd6f5) (Video)
37. [Lecture 19(A) - (part 1): Dataset transformations](https://invisiblenetwork.ai/learn/nptel/113104761/938fcfdd512d) (Video)
38. [Lecture 19(B) - (part 2): Dataset transformations](https://invisiblenetwork.ai/learn/nptel/113104761/0d4199d4d436) (Video)
39. [Lecture 20(A) - (part 1): Data mining](https://invisiblenetwork.ai/learn/nptel/113104761/c304df8a3d78) (Video)
40. [Lecture 20(B) - (part 2): Mapping of materials](https://invisiblenetwork.ai/learn/nptel/113104761/f8b21a07d3b6) (Video)
41. [Lecture 21(A) - (part 1) : Data in Materials Informatics](https://invisiblenetwork.ai/learn/nptel/113104761/6e9fa8a32799) (Video)
42. [Lecture 21(B) - (part 2) : Data in Materials Informatics](https://invisiblenetwork.ai/learn/nptel/113104761/b273105c1b45) (Video)
43. [Lecture 22(A) _ (part 1) : Structure Maps](https://invisiblenetwork.ai/learn/nptel/113104761/f57bb350ec37) (Video)
44. [Lecture 22(B) - (part 2) : Structure Maps](https://invisiblenetwork.ai/learn/nptel/113104761/685e2830be50) (Video)
45. [Lecture -23 (Part 1) - Phase Diagrams](https://invisiblenetwork.ai/learn/nptel/113104761/79364d35c610) (Video)
46. [Lecture -23 (Part 2) - Periodic Table and Elemental Descriptors](https://invisiblenetwork.ai/learn/nptel/113104761/fec18dd00eca) (Video)
47. [Lecture -24 (Part 1) - Featurization - Physical Principles](https://invisiblenetwork.ai/learn/nptel/113104761/3e033a69d74f) (Video)
48. [Lecture -24 (Part 2) - Featurization - Pair Plots and Correlation Matrix](https://invisiblenetwork.ai/learn/nptel/113104761/febc64fda22c) (Video)
49. [Lecture 25 - Thermodynamic Features - Miedema’s Model](https://invisiblenetwork.ai/learn/nptel/113104761/557a4abb6ed1) (Video)
50. [Lecture 26 - ( part 1) : Structure of Materials](https://invisiblenetwork.ai/learn/nptel/113104761/71a9789a6a1e) (Video)
51. [Lecture -26 (part 2): Structure of Materials - Microstructure](https://invisiblenetwork.ai/learn/nptel/113104761/77da332dde7a) (Video)
52. [Lecture -27 (part 1): Prediction of Composition Based Properties - I](https://invisiblenetwork.ai/learn/nptel/113104761/98c963c9ad98) (Video)
53. [Lecture -27 (part 2): Prediction of Composition Based Properties - II](https://invisiblenetwork.ai/learn/nptel/113104761/af1905853e36) (Video)
54. [Lec-28 (part 1): Molecular Fingerprints - I](https://invisiblenetwork.ai/learn/nptel/113104761/584d573b03fe) (Video)
55. [Lec-28 (part 2): Molecular Fingerprints - II](https://invisiblenetwork.ai/learn/nptel/113104761/939d6c40a8ed) (Video)
56. [Lecture -29 (part 1): Mathematical Microstructure](https://invisiblenetwork.ai/learn/nptel/113104761/7d4028811b61) (Video)
57. [Lecture -29 (part 2): The Microstructure Function](https://invisiblenetwork.ai/learn/nptel/113104761/3b2172379a68) (Video)
58. [Lecture 30 - Two-point Statistics and Dimensionality Reduction](https://invisiblenetwork.ai/learn/nptel/113104761/fb665b54dbe2) (Video)
59. [Lecture 31 A - Combinatorial-Materials-Science](https://invisiblenetwork.ai/learn/nptel/113104761/1cbcac20c55c) (Video)
60. [Lecture 31 B - Convolutional Neural Network](https://invisiblenetwork.ai/learn/nptel/113104761/6372c5d9ce00) (Video)
61. [Lecture 32 - Microstructure Representation-Synthetic Microstructures](https://invisiblenetwork.ai/learn/nptel/113104761/f9601bbe91d5) (Video)
62. [Lecture 33 - P-S-P Linkage](https://invisiblenetwork.ai/learn/nptel/113104761/7896f0e47a89) (Video)
63. [Lecture 34 - Decision Making and Interpretation](https://invisiblenetwork.ai/learn/nptel/113104761/53fddcd77b19) (Video)
64. [Lecture 35 Part 1: (Setting up ML problems)](https://invisiblenetwork.ai/learn/nptel/113104761/07d5784a377f) (Video)
65. [Lecture 35 Part 2: (Interrogating Machine Learning models - Examples)](https://invisiblenetwork.ai/learn/nptel/113104761/4246f6a574b8) (Video)
66. [Lecture 36: (Physically Informed Neural Networks)](https://invisiblenetwork.ai/learn/nptel/113104761/ea8eaa316561) (Video)
67. [Lecture 37: (Combinatorial Materials Processing)](https://invisiblenetwork.ai/learn/nptel/113104761/7de2149b00e2) (Video)
68. [Lecture 38: (High throughput Characterization)](https://invisiblenetwork.ai/learn/nptel/113104761/c96aa10d0af8) (Video)
69. [Lecture 39: (Synthetic Data)](https://invisiblenetwork.ai/learn/nptel/113104761/2b81c7bb9194) (Video)
70. [Lecture 40: (Conclusion, Challenges and Future Directions)](https://invisiblenetwork.ai/learn/nptel/113104761/d2993c4aee75) (Video)