UGC Net Paper2 - Computer Science(Level 1)

This course will be helpful to clear your UGC NET/SET/JRF exam and also for all competitive exam.

Ratings 3.94 / 5.00
UGC Net Paper2 - Computer Science(Level 1)

What You Will Learn!

  • The students will learn the ugc net paper2 computerscience previous year solved questions.
  • Fuzzy logic,Operation research PYQ solved.
  • software engineering,Unix PYQ solved.
  • Programming language PYQ solved.
  • This will be helpful for all the students who are preparing for any interview or competitive exam.

Description

Hi NET/SET/JRT Aspirants, In this course you have an exclusive opportunity to rock your professor career in computer science and its application subject.. Years of Hard work and Combination of knowledge which taken from the various sources(wats app group, experts, you tube, websites and etc.) and put in one place to remove your barriers.

We made a small research on those who are not able to clear this exam. In that we come to know that school toppers, class toppers, college toppers and highly intellect and experienced people are struggling to clear this exam because of the various family issues ,take caring kids, college work.

so we decided to create a course and place in a portal so that anyone can access and study anytime, anywhere, any place. The cost of studying the same course in institute is very high. we created and launched the course  at most low cost. you can see the problem solved videos as many times as you want . This will give you a depth understanding of knowledge and make you confidence to face this exam. All the solved pdf is provided free of cost with this course. we are on a mission to help One million UGC NET/SET/JRF aspirants to achieve their dream of becoming a New World Professors! Hearty welcome to all ! Don't miss this golden opportunity!

Who Should Attend!

  • This course for UGC NET/SET/JRF Aspirants for the computer science department,and all students of computer science who are preparing for any competitive exam or interview.

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Tags

  • Computer Science

Subscribers

83

Lectures

18

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