Saturday, January 25, 2014

KSOU, Algorithm Analysis and Design, M.Sc. (I.T.) 1st sem Examination, June/July 2010 Question Paper

KSOU, Karnataka State Open University old, model, previous and latest years question papers >> Algorithm Analysis and DesignM.Sc. (I.T.) Examination, June/July 2010 Question Paper:

Are you searching for old, previous years and latest question papers of KSOU, Karnataka State Open University ? You can find here in this blog, even sample and model question papers of KSOU, Karnataka State Open University and various universities in India. Have a look at this post that contains the latest year 2010 for KSOU, Karnataka State Open University question paper conducted in the month June/July, for the M.Sc. (I.T.) Examination 2010. This question paper is useful for those students who are preparing for Algorithm Analysis and Design for M.Sc. (I.T.) Examination. Part A consists of 10 Questions carrying a total marks 25 and Part B has 8 questions out of which, you should answer 5 questions carrying 10 marks each. Use the question paper for your upcoming exams to score high marks.

KSOU, Karnataka State Open University
I Semester M.Sc. (I.T.) Examination, June/July 2010
Algorithm Analysis and Design
(Freshers)
Time : 3 Hours
Maximum Marks : 75

PART – A
I. Answer all questions : (10 × 2 + 5×1 = 25)

1) What is an Algorithm ?
2) What is Abstract Data type ?
3) What are finite automata ?
4) What is a pointer ?
5) What is a linked list ?
6) What is data dictionary ?
7) What is a set ?
8) What is Dynamic Programming ?
9) What is Sorting ?
10) What is Backtracking ?
11) Define the following :
a) External sorting
b) RBT
c) Heap
d) KMP
e) Mapping

PART – B
II. Answer any five questions : (5×10=50)

1. How will you define an algorithm ? Describe the criteria that an algorithm must satisfy.
2. Which data structure makes of a LIFO list ? Explain.
3. What is ADT ? Explain.
4. Describe the various notations used to define the efficiency of an algorithm.
5. Explain the KMP algorithm for string matching.
6. Discuss the Traveling Salesman Problem.
7. What is a heap ? Explain Heap sort.
8. What are the basic operations which can be performed on strings ?
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