NPTEL Discipline : Mathematics (92 Courses in PDF Format)

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** For NPTEL 'Mathematics' Video Courses **

https://estore.linuxpert.in/mathematics-93-video-courses-in-2-tb-usb-hdd.html

** NPTEL Video Course Lecture Format : PDF **

NPTEL Discipline : Mathematics

Total no. of NPTEL Video Courses : 92

Total no. of NPTEL Video Lectures : 4,161

Total no. of Printable Pages : 66,104

Storage Media Type: USB Pendrive

Capacity: 32 GB

Course List: https://www.digimat.in/downloads/NPTEL-1719-video-courses.pdf

Lecture Topics: https://www.digimat.in/downloads/topics/mathematics.pdf

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** List of Available Courses (as PDF) **

  1. A Basic Course in Real Analysis
  2. Advanced Complex Analysis - Part 1
  3. Advanced Complex Analysis - Part 2
  4. Advanced Engineering Mathematics
  5. Advanced Matrix Theory and Linear Algebra for Engineers
  6. An Introduction to Riemann Surfaces and Algebraic Curves
  7. Applied Multivariate Analysis
  8. Basic Algebraic Geometry
  9. Calculus of Variations and Integral Equations
  10. Complex Analysis
  11. Convex Optimization
  12. Discrete Mathematics
  13. Dynamic Data Assimilation- An Introduction
  14. Elementary Numerical Analysis
  15. Formal Languages and Automata Theory
  16. Foundations of Optimization
  17. Functional Analysis
  18. Introduction to Methods of Applied Mathematics
  19. Linear Algebra
  20. Linear programming and Extensions
  21. Mathematical Logic
  22. Mathematics in India - From Vedic Period to Modern Times
  23. Measure and Integration
  24. NOC-Advanced Engineering Mathematics
  25. NOC-An invitation to Mathematics
  26. NOC-Applied Multivariate Statistical Modeling
  27. NOC-Basic Calculus for Engineers, Scientists and Economists
  28. NOC-Basic Linear Algebra
  29. NOC-Basic Real Analysis
  30. NOC-Calculus for Economics, Commerce and Management
  31. NOC-Chaotic Dynamical Systems
  32. NOC-Commutative Algebra
  33. NOC-Constrained and Unconstrained Optimization
  34. NOC-Curves and Surfaces
  35. NOC-Descriptive Statistics with R Software
  36. NOC-Differential Calculus in Several Variables
  37. NOC-Differential Equations for Engineers
  38. NOC-Discrete Mathematics
  39. NOC-Dynamical System and Control
  40. NOC-Engineering Mathematics-I
  41. NOC-Engineering Mathematics-II
  42. NOC-Galois Theory
  43. NOC-Graph Theory
  44. NOC-Groups - Motion, Symmetry and Puzzles
  45. NOC-Higher Engineering Mathematics
  46. NOC-Integral and Vector Calculus
  47. NOC-Integral Equations, Calculus of Variations and its Applications
  48. NOC-Integral Transforms And Their Applications
  49. NOC-Introduction to Abstract and Linear Algebra
  50. NOC-Introduction to Abstract Group Theory
  51. NOC-Introduction to Algebraic Geometry and Commutative Algebra
  52. NOC-Introduction to Commutative Algebra
  53. NOC-Introduction to Probability and Statistics
  54. NOC-Introduction to Probability Theory and Stochastic Processes
  55. NOC-Introduction To Rings And Fields
  56. NOC-Introduction to R Software
  57. NOC-Introductory Course in Real Analysis
  58. NOC-Linear Algebra
  59. NOC-Linear Regression Analysis and Forecasting
  60. NOC-Mathematical Methods and its Applications
  61. NOC-Mathematical Modelling- Analysis and Applications
  62. NOC-Matrix Analysis with Applications
  63. NOC-Matrix Solver
  64. NOC-Measure Theory
  65. NOC-Measure Theory (Prof. E. K. Narayanan)
  66. NOC-Modeling Transport Phenomena of Microparticles
  67. NOC-Multivariable Calculus
  68. NOC-Nonlinear Programming
  69. NOC-Numerical Analysis
  70. NOC-Numerical Linear Algebra
  71. NOC-Numerical Methods
  72. NOC-Numerical Methods- Finite Difference Approach
  73. NOC-Ordinary and Partial Differential Equations and Applications
  74. NOC-Partial Differential Equations (PDE) for Engineers- Solution by Separation of Variables
  75. NOC-Probability and Statistics
  76. NOC-Probability and Stochastics for finance
  77. NOC-Statistical Inference
  78. NOC-Statistical Inference (2019)
  79. NOC-Stochastic Processes
  80. NOC-Stochastic Processes - 1
  81. NOC-Transform Calculus and its applications in Differential Equations
  82. NOC-Transform Techniques for Engineers
  83. Numerical methods of Ordinary and Partial Differential Equations
  84. Optimization
  85. Ordinary Differential Equations and Applications
  86. Probability and Statistics
  87. Probability Theory and Applications
  88. Real Analysis
  89. Regression Analysis
  90. Statistical Inference
  91. Statistical Methods for Scientists and Engineers
  92. Stochastic Processes