Mathematics (109 Courses in PDF Format)

In stock

NPTEL Course Link:

Distributed Under: CC-BY-SA 4.0 License

Copyright: Ministry of Education (Govt. of India), IIT(s), IISc

The amount charged is only for Copying/Distribution
(Storage Media + Copying Charges + Shipping + Taxes)

The NPTEL Video/PDF Lectures are not edited or repurposed
and distributed in as-is format in physical medium.

NPTEL Video Course Lecture Format : PDF

Total no. of NPTEL Video Courses : 109

Total no. of NPTEL Video Lectures : 5,042

Total no. of Printable Pages : 79,141

Storage Media Type: USB Pendrive

Capacity: 32 GB

List of Available Courses (as PDF)

1. Advanced Complex Analysis - Part 1
2. Advanced Complex Analysis - Part 2
3. Advanced Engineering Mathematics
4. Advanced Matrix Theory and Linear Algebra for Engineers
5. An Introduction to Riemann Surfaces and Algebraic Curves
6. Applied Multivariate Analysis
7. A Basic Course in Real 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-Advanced Probability Theory
26. NOC-An Introduction to Smooth Manifolds
27. NOC-An invitation to Mathematics
28. NOC-Applied Multivariate Statistical Modeling
29. NOC-A Basic Course in Number Theory
30. NOC-Basic Calculus 1
31. NOC-Basic Calculus for Engineers, Scientists and Economists
32. NOC-Basic Linear Algebra
33. NOC-Basic Real Analysis
34. NOC-Calculus for Economics, Commerce and Management
35. NOC-Calculus of Several Real Variables
36. NOC-Chaotic Dynamical Systems
37. NOC-Commutative Algebra
38. NOC-Computational Commutative Algebra
39. NOC-Computational Mathematics with SageMath
40. NOC-Constrained and Unconstrained Optimization
41. NOC-Curves and Surfaces
42. NOC-Descriptive Statistics with R Software
43. NOC-Differential Calculus in Several Variables
44. NOC-Differential Equations for Engineers
45. NOC-Discrete Mathematics
46. NOC-Dynamical System and Control
47. NOC-Engineering Mathematics-I
48. NOC-Engineering Mathematics-II
49. NOC-Essentials of Data Science With R Software 1 - Probability and Statistical Inference
50. NOC-Essential Mathematics for Machine Learning
51. NOC-Galois Theory
52. NOC-Graph Theory
53. NOC-Groups - Motion, Symmetry and Puzzles
54. NOC-Higher Engineering Mathematics
55. NOC-Integral Equations, Calculus of Variations and its Applications
56. NOC-Integral Transforms And Their Applications
57. NOC-Integral and Vector Calculus
58. NOC-Introduction To Rings And Fields
59. NOC-Introduction to Abstract Group Theory
60. NOC-Introduction to Abstract and Linear Algebra
61. NOC-Introduction to Algebraic Geometry and Commutative Algebra
62. NOC-Introduction to Commutative Algebra
63. NOC-Introduction to Fuzzy Set Theory, Arithmetic and Logic
64. NOC-Introduction to Probability Theory and Stochastic Processes
65. NOC-Introduction to Probability and Statistics
66. NOC-Introduction to R Software
67. NOC-Introductory Course in Real Analysis
68. NOC-Linear Algebra
69. NOC-Linear Algebra (2020)
70. NOC-Linear Regression Analysis and Forecasting
71. NOC-Mathematical Finance
72. NOC-Mathematical Methods and its Applications
73. NOC-Mathematical Methods for Boundary Value Problems
74. NOC-Mathematical Modelling- Analysis and Applications
75. NOC-Matrix Analysis with Applications
76. NOC-Matrix Solver
77. NOC-Measure Theory
78. NOC-Measure Theory (Prof. E. K. Narayanan)
79. NOC-Modeling Transport Phenomena of Microparticles
80. NOC-Multivariable Calculus
81. NOC-Nonlinear Programming
82. NOC-Non-parametric Statistical Inference
83. NOC-Numerical Analysis
84. NOC-Numerical Linear Algebra
85. NOC-Numerical Methods
86. NOC-Numerical Methods- Finite Difference Approach
87. NOC-Operations Research
88. NOC-Ordinary and Partial Differential Equations and Applications
89. NOC-Partial Differential Equations (PDE) for Engineers- Solution by Separation of Variables
90. NOC-Probability and Statistics
91. NOC-Probability and Stochastics for finance
92. NOC-Real Analysis - I
93. NOC-Scientific Computing using Matlab
94. NOC-Statistical Inference
95. NOC-Statistical Inference (2019)
96. NOC-Stochastic Processes
97. NOC-Stochastic Processes - 1
98. NOC-Transform Calculus and its applications in Differential Equations
99. NOC-Transform Techniques for Engineers
100. Numerical methods of Ordinary and Partial Differential Equations
101. Optimization
102. Ordinary Differential Equations and Applications
103. Probability Theory and Applications
104. Probability and Statistics
105. Real Analysis
106. Regression Analysis
107. Statistical Inference
108. Statistical Methods for Scientists and Engineers
109. Stochastic Processes

Course List:

Lecture Topics (for All Courses):

Individual Lecture Topics:

Write Your Own Review
You're reviewing:Mathematics (109 Courses in PDF Format)