NPTEL : Computer Science

コンピュータサイエンス（CS）学生のためのNPTELビデオ講義とPDF

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.