UGC – NET Computer Science December 2012 – Paper – II
38. Match the following IC families with their basic circuits : a.TTL 1. NANDb.ECL 2. NORc.CMOS 3. InverterCode : a b c(A) 1 2 3(B) 3 2 1(C) 2 3 1(D) 2 1 3 39. Match the following with respect…
Category UGC – NET Computers Previous Papers
UGC – NET Computer Science June 2012 – Paper – II
1. The postfix expression AB + CD – * can be evaluated using a 2. The post order traversal of a binary tree is DEBFCA. Find out the pre-order traversal. 3. The branch logic that provides making capabilities in the…
UGC – NET Computer Science December 2011 – Paper – II
1. Which of the following data structure is Non – linear type? 2. The total number of comparisons in a bubble sort is 3. Which of the following is a bad example of recursion? 4. Domain and Range of the…
UGC – NET Computer Science June 2011 – Paper – II
1. Any integer composed of 3n identical digits divisible by 2. The circumference of the two concentric disks are divided into 100 sections each. For the outer disk, 100 sections each. For the outer disk, 100 of the sections are…
UGC – NET Computer Science December 2010 – Paper – II
UGC NET Computer Science December 2010 Paper II – Solved with Answers Practice the complete solved paper for UGC NET Computer Science (December 2010, Paper II). This archive contains the original questions from the exam, now updated with the correct…
UGC – NET Computer Science June 2010 – Paper-II
1 . “x1 is a clone of x” means x1 is identical to x in terms of the physical attributes namely, height, weight and complexion. Given height, weight and complexion only form a complete set of attributes for an entity,…
UGC – NET Computer Science December 2009 – Paper-II
UGC NET Computer Science December 2009 Paper II – Solved with Explanations Welcome to the comprehensive solved paper for UGC NET Computer Science (December 2009, Paper II). This resource is designed to help aspirants preparing for upcoming NTA UGC NET,…
UGC – NET Computer Science June 2009 – Paper – II with answers
1. If x and y are independent Gaussian random variables with average value 0 and with the same variance, their joint probability density function is given by: (A) p(x,y) = p(x) · p(y) (B) p(x,y) = p(x) + p(y) (C)…