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CS502 Current Mid Term Papers Spring 2014 & Past Mid Term Papers at One Place Date: June 07 to June 18, 2014

All Current Mid Term Papers Spring 2014 and Past Mid Term Papers at One Place From June 07 to June 18, 2014.

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MId term MCQs by Moaaz

Attachments:

Subjective

CS502 Solved Past Mid Term Papers, Solved MCQs, Short Notes & more material for Current mid term papers exam Preparation links 

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Last smester mid term papers shared by students on ning

Attachments:

My Today's paper:

Total Q are 26

mostly quizes are from past papers

From Moaz n Tariq hanif Files

subjective:

1: Draw a binary tree for this order of matrix multiplication.(A1(A2A3))(A4A5)

2: How we maintain Heap property?

3:How to construct an optimal solution for o/1 knapsack problem?

4:How can we avoid exponential running time of o/1 knapsack problem using dynamic programming?

5: Illustrate how radix works on the folloing words:

 COW,DOG,SEA,RUG,ROW,MOB,BOX,TAB

baqi yaad nahi

best of luck

todays cs502 paper
Mcs mostly from past papers and further from starting and subj was more from end part

Define worst case and average case of Quick sort? 2mrks
Speech Recognition in edit distance?2mrks
show that in max heap every node has greator then to its sub nodes?
a statement was given to selcect true or false and give reason for that about knapsack ?3mrks
page no 50 pe jo equation hai quick sort algorithm ki recursion wali wo aya tha 5 marks q us me n=2 dia gya tha? 5mrks
In general dynamic programming to knapsack more then once is traha ka 1 question tha 5 marks? 5mrks
best of luck to all of u...

Attachments:

How many chapters of cs502 are included in midterm exam?

6 chapters.

my today paper of cs502
quiz zyada past paper s thy moaaz file m s thy
1: working of bubble sort ......2 mrks
2: what are the entries of matrix of edit distance......3
3: sapling correction kesy krty hn......3 mrks
4: what are the worst case running time of bucket sort.what change makes to make a worst case of running time theta(nlogn)......5 mrks
5: pesudo code of dynamic programming approach of 0/1 knapsack.

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