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Learn · Mathematical Tools for Cognitive Science

Lecture 36 of 60Week 8

Lecture 36: Introduction to Sets

Prof. Himanshu Yadav · IIT Kanpur

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From
Mathematical Tools for Cognitive Science, IIT Kanpur (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
Teens profiles and older. How courses are placed

All the lectures

  1. Lecture 01: Real numbers and Exponents YouTube
  2. Lecture 02: Equations YouTube
  3. Lecture 03: Graphs YouTube
  4. Lecture 04: Graphs and Equations YouTube
  5. Lecture 05: Functions YouTube
  6. Lecture 06: Inverse Functions YouTube
  7. Lecture 07: Graphs of Inverse Functions YouTube
  8. Lecture 08: Exponential Functions YouTube
  9. Lecture 09: Logarithmic Functions YouTube
  10. Lecture 10: Applications of Logarithmic and Exponential Functions YouTube
  11. Lecture 11: Introduction to Trigonometric Functions YouTube
  12. Lecture 12: Sine and Cosine Functions YouTube
  13. Lecture 13: Trigonometric Identities YouTube
  14. Lecture 14: Trigonometric Identities: Examples YouTube
  15. Lecture 15: Representation of a point in a plane YouTube
  16. Lecture 16: Introduction to Differentiation YouTube
  17. Lecture 17: Derivative of a Function YouTube
  18. Lecture 18: Some Basic Derivatives YouTube
  19. Lecture 19: Differentiation Examples YouTube
  20. Lecture 20: Practice Problems on Differentiation YouTube
  21. Lecture 21: Maxima and Minima of a Function YouTube
  22. Lecture 22: Maxima and Minima examples YouTube
  23. Lecture 23: Partial Derivative YouTube
  24. Lecture 24: Least Squares Method YouTube
  25. Lecture 25: Differentiation Applications YouTube
  26. Lecture 26: Introduction to Matrices YouTube
  27. Lecture 27: Matrix Operations YouTube
  28. Lecture 28: Inverse Matrix YouTube
  29. Lecture 29: Introduction to Vectors YouTube
  30. Lecture 30: Dot Product and Cross Product YouTube
  31. Lecture 31: Introduction to Integration YouTube
  32. Lecture 32: Some Basic Integrals YouTube
  33. Lecture 33: Integration Examples YouTube
  34. Lecture 34: Substitution Method of Integration YouTube
  35. Lecture 35: Integration by Parts YouTube
  36. Lecture 36: Introduction to Sets YouTube
  37. Lecture 37: Operations on Sets YouTube
  38. Lecture 38: Properties of Sets YouTube
  39. Lecture 39: Algebra of Sets YouTube
  40. Lecture 40: Sets and Probability YouTube
  41. Lecture 41: Introduction to Probability YouTube
  42. Lecture 42: Probability Axioms YouTube
  43. Lecture 43: Probability Corollaries YouTube
  44. Lecture 44: Conditional Probability YouTube
  45. Lecture 45: Probability Examples YouTube
  46. Lecture 46: Introduction to Random Variables YouTube
  47. Lecture 47: Discrete and Continuous Random Variables YouTube
  48. Lecture 48: Binomial and Poisson Distributions YouTube
  49. Lecture 49: Normal and Lognormal Distributions YouTube
  50. Lecture 50: Other Continuous Random Variables YouTube
  51. Lecture 51: Probability Distributions in R YouTube
  52. Lecture 52: Continuous Random Variables in R YouTube
  53. Lecture 53: Random Variables Examples in R YouTube
  54. Lecture 54: Likelihood Function YouTube
  55. Lecture 55: Likelihood Function in R YouTube
  56. Lecture 56: Joint Likelihood Function YouTube
  57. Lecture 57: Joint Likelihood in R YouTube
  58. Lecture 58: Parameter Estimation YouTube
  59. Lecture 59: Statistical Inference YouTube
  60. Lecture 60: Statistical Inference in the Bayesian Framework YouTube