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UGC NET computer science

Paper 2 of UGC NET in Computer Science and Applications, for assistant professor posts and JRF. Mapped from the ten-unit syllabus NTA publishes; check the current copy on ugcnet.nta.ac.in.

Draft. Based on the published syllabus as we read it. How roles get checked

42 stops to go, about 1102 hours of study.

Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.

  1. 20 h

    Maths foundations. Ready to start.

  2. 40 h

    Maths foundations. After Mathematical proof.

  3. 40 h

    Maths foundations. Ready to start.

  4. 40 h

    Maths foundations. Ready to start.

  5. 40 h

    Programming. Ready to start.

  6. 6 h

    Programming. Ready to start.

  7. 25 h

    Programming. After Programming in Python.

  8. 8 h

    Programming. After Programming in Python.

  9. 20 h

    Programming. After Recursion.

  10. 20 h

    Programming. After Functions and abstraction.

  11. 15 h

    Systems. Ready to start.

  12. 30 h

    Systems. After Digital logic and Programming in Python.

  13. 30 h

    Systems. After C and memory and How a computer runs a program.

  14. 20 h

    Systems. After Processes and virtual memory.

  15. 35 h

    Systems. After Programming in Python.

  16. 6 h

    Algorithms and data structures. After Discrete maths.

  17. 10 h

    Algorithms and data structures. After Programming in Python.

  18. 15 h

    Algorithms and data structures. After Arrays, lists, stacks and queues and Recursion.

  19. 8 h

    Algorithms and data structures. After Arrays, lists, stacks and queues.

  20. 20 h

    Theory and languages. After Discrete maths.

  21. 50 h

    Theory and languages. After Recursion and Hash tables.

  22. 20 h

    Systems. After Processes and virtual memory.

  23. 10 h

    Data. Ready to start.

  24. 40 h

    Data. After SQL, Trees and heaps and Hash tables.

  25. 40 h

    Maths foundations. Ready to start.

  26. 30 h

    Maths foundations. After Calculus.

  27. 60 h

    Machine learning. After Linear algebra, Probability and Programming in Python.

  28. 60 h

    Systems. After Concurrency and Computer networks.

  29. 25 h

    Algorithms and data structures. After Arrays, lists, stacks and queues and Big-O and running time.

  30. 50 h

    Theory and languages. After Building an interpreter and C and memory.

  31. 30 h

    Theory and languages. After Automata and formal languages and Big-O and running time.

  32. Tool40 h

    Programming. After Programming in Python.

  33. 12 h

    Programming. After Programming in Python.

  34. 15 h

    Programming. After Git and Testing and debugging.

  35. 30 h

    Machine learning. After Programming in Python and Probability.

  36. 25 h

    Machine learning. After Machine learning.

  37. 30 h

    Web development. Ready to start.

  38. 30 h

    Maths foundations. After Multivariable calculus and Linear algebra.

  39. 12 h

    Algorithms and data structures. After Arrays, lists, stacks and queues and Recursion.

  40. 20 h

    Algorithms and data structures. After Recursion and Big-O and running time.

  41. 10 h

    Algorithms and data structures. After Sorting and searching.

  42. 15 h

    Data. After SQL.

That's everything for to get hired.