NPTEL video lectures and PDF for Computer Science (CS) students
Would you like to learn Computer Science by IIT professors at any place and any time using their video lectures and study material? Then you are at right place.
Most of the applications provide only NPTEL videos which are data consuming and you cannot load it with slow data connection.
Using NPTEL : CS app you can read text content (PDF) of all videos which helps you to save mobile data and easy to understand.
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NPTEL : CS app has following features:
• Video tutorials by IIT professors.
• It includes PDF version of videos, so if you have slow internet speed then you can read PDF content.
• We are committed to add new tutorials regularly and provide the best experience to all users
• App is completely free of charge with minimal ad on it.
This app covers following subjects in detail (97 Subjects)
1. Artificial Intelligence
2. Artificial Intelligence
3. Artificial Intelligence
4. Artificial Intelligence(Prof.P.Dasgupta)
5. Biometrics
6. CAD for VLSI Design I
7. CAD for VLSI Design II
8. Combinatorics
9. Compiler Design
10. Compiler Design
11. Compiler Design
12. Computational Geometry
13. Computer Algorithms - 2
14. Computer Architecture
15. Computer Architecture
16. Computer Graphics
17. Computer Networks
18. Computer Networks
19. Computer Networks
20. Computer Organisation and Architecture
21. Computer Organization
22. Cryptography and Network Security
23. Data Communication
24. Data Communications
25. Data Structures And Algorithms
26. Database Design
27. Design and Analysis of Algorithms
28. Design Verification and Test of Digital VLSI Circuits
29. Digital Systems
30. Discrete Mathematical Structures
31. Distributed Computing Systems
32. Electronic Design Automation
33. Fundamental Algorithms:Design and Analysis
34. Graph Theory
35. High Performance Computer Architecture
36. High Performance Computing
37. Human-Computer Interaction
38. Internet Technology
39. Introduction to Computer Graphics
40. Introduction to Database Systems and Design
41. Introduction to Problem Solving and Programming
42. Introduction to Problem Solving and Programming
43. Logic for CS
44. Low Power VLSI Circuits & Systems
45. Microprocessors and Microcontrollers
46. Natural Language Processing
47. NOC:2016: Programming, Data structures and Algorithms
48. NOC:Algorithms for Big Data
49. NOC:Artificial Intelligence: Knowledge Representation and Reasoning
50. NOC:Complex Network : Theory and Application
51. NOC:Computer Architecture(Course sponsored by Aricent)
52. NOC:Design and Analysis of Algorithms
53. NOC:Functional Programming in Haskell
54. NOC:Fundamentals of Database Systems(Course sponsored by Aricent)
55. NOC:Information Security - II(Course sponsored by Aricent)
56. NOC:Introduction to Cryptology
57. NOC:Introduction to Information Security I
58. NOC:Introduction to Machine Learning
59. NOC:Introduction to Machine Learning(Course sponsored by Aricent)
60. NOC:Introduction to Modern Application Development
61. NOC:Introduction to Operating Systems
62. NOC:Introduction to programming in C
63. NOC:Mobile Computing
64. NOC:Model Checking
65. NOC:Modern Algebra
66. NOC:Object-Oriented Analysis and Design
67. NOC:Privacy and Security in Online Social Networks
68. NOC:Programming and Data structures (PDS)
69. NOC:Programming in C++
70. NOC:Programming, Data Structures and Algorithms
71. NOC:Programming, Data Structures and Algorithms in Python
72. NOC:Reinforcement Learning
73. NOC:Software Testing
74. NOC:Theory of Computation
75. Numerical Optimization
76. Operating Systems
77. Parallel Algorithms
78. Parallel Algorithm
79. Parallel Computing
80. Pattern Recognition
81. Pattern Recognition
82. Performance Evaluation of Computer Systems
83. Principles of Communication
84. Principles of Compiler Design
85. Principles of Programming Languages
and many more..
All credit goes to professors of NPTEL and this app is for representation purpose only.