Monday, May 10, 2021

NPTEL Courses for Computer Science and Engineering

 Below is the tentative list of courses for the discipline: Computer Science and Engineering

See: https://docs.google.com/spreadsheets/d/e/2PACX-1vRkvBe5ot20hzrsdO6ZhvtsAyoaZEY-2rvi7eaao9ps8gFgeNnES5Zmi2j_Tv0EP3jk4dSG-3FdRO96/pubhtml?urp=gmail_link

  1. Problem solving through Programming In C
  2. Programming in C++
  3. Programming in Java
  4. Object Oriented Analysis and Design
  5. Data Base Management System
  6. Scalable Data Science
  7. Hardware modeling using verilog
  8. Computer architecture and organization
  9. Cloud computing
  10. Introduction to internet of things
  11. Switching Circuits and Logic Design
  12. Software Engineering
  13. Introduction to Industry 4.0 and Industrial Internet of Things
  14. Programming, Data Structures And Algorithms Using Python
  15. Design and analysis of algorithms
  16. Data Science for Engineers
  17. Introduction to Machine Learning - IITM
  18. Reinforcement Learning
  19. Introduction to Operating Systems
  20. Software Testing
  21. Social Networks
  22. The Joy of Computing using Python
  23. Deep learning - IITRopar
  24. Introduction To Haskell Programming
  25. Python for Data Science
  26. Artificial Intelligence Search Methods For Problem Solving
  27. Discrete Mathematics
  28. C Programming and Assembly Language
  29. Multi-Core Computer Architecture – Storage and Interconnects
  30. Theory of Computation
  31. Modern Algebra
  32. Introduction to Machine Learning - IITKGP
  33. Big Data Computing
  34. Distributed Systems
  35. Operating System Fundamentals
  36. Introduction to algorithms and analysis
  37. Computational Complexity
  38. Secure Computation: Part I
  39. Parameterized Algorithms
  40. Deep Learning for Computer Vision
  41. Demystifying Networking
  42. Advanced computer architecture
  43. C-Based VLSI Design
  44. Computer Graphics
  45. Real-Time Systems
  46. "In order of preference:
  47. Algorithmic Puzzles
  48. Algorithms Implemented
  49. Data Structures and Algorithms with C++ and Python
  50. Algorithms for Competitive Programming"
  51. Algorithms for protein modelling and engineering
  52. Computer Vision
  53. Natural Language Processing
  54. Introduction to Quantum Computing: Quantum Algorithms and Qiskit


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