Exam Details

Subject Algorithms and Logic Design
Paper
Exam / Course Diploma -VIEP-Computer Science and Engineering(DCSVI)/Advanced Level O Certificate Course In Cse (ACCSVI) B.Tech. Computer Science And Engineering (BT
Department School of Engineering & Technology (SOET)
Organization indira gandhi national open university
Position
Exam Date June, 2016
City, State new delhi,


Question Paper

No. of Printed Pages: 4 IBICS-029I
DIPLOMA -VIEP -COMPUTER SCIENCE AND
ENGINEERING (DCSVI) I AnVANCED LEVEL
CERTIFICATE COURSE IN COMPUTER
SCIENCE AND ENGINEERING (ACCSVI)

Term-End Examination
00486
June, 2016
BICS-029 ALGORITHMS AND LOGIC DESIGN
Time: 2 hours Maximum Marks: 70
Note: Attempt any five questions. Question number 1 is compulsory which has multiple choice questions. Each question carries equal marks;

1. Choose the correct answer from the given four alternatives: 7 x 2=14

Two main measures for the efficiency of an algorithm are

Processor and memory

Complexity and capacity

Time and space

Data and space

Which of the following case does not exist in complexity theory

Best case

Worst case

Average case

Null case

The complexity of linear search algorithm is



O(log



O(n log

Which of the following is not a linear data structure?

Array

Linked List

Both the above

None of the above

Which of the following sorting algorithms is of divide and conquer type?

Bubble sort

Insertion sort

Quick sort

All the above

An algorithm that calls itself directly or indirectly is known as

Sub algorithm

Recursion

Polish notation

Traversal algorithm

When new data are to be inserted into a data structure but there is no available space, this situation is usually called

Underflow

Overflow

Houseful

Saturated

2. Define algorithm. Explain the characteristics of an algorithm. 7

Write an algorithm and draw a flow chart to find the largest of N numbers. 7

3. Differentiate between priori analysis and posteriori analysis. 7

What are the different mathematical notations used for algorithm analysis? 7

4. Give the partition algorithm for Quicksort. 7

Show that n3 log n is Q(n3). 7

5. Write the non-recursive algorithm for finding the Fibonacci sequence and derive its time complexity. 7

Explain about the Approximation and Randomized algorithm in brief. 7

6. How does merge sort algorithm sort the following sequence of keys in ascending order?

12,22,48,33,56,44,57,76,84,65

Explain with a neat diagram representing sequence of recursion calls. 7

Discuss the time complexity of merge sort. 7

7. Determine the frequency count for all statements in the following two algorithm segments: 10

for i 1 to n do
for j 1 to i do
for k 1 to j do
x

1
while do


i


Explain about the branch and bound in detail.

8. Explain the following:

Program Development Cycle

Bucket Sort

Components of flow chart

Shell Sort


Departments

  • Centre for Corporate Education, Training & Consultancy (CCETC)
  • Centre for Corporate Education, Training & Consultancy (CCETC)
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Subjects

  • Advanced ComputerArchitecture
  • Algorithms and Logic Design
  • Artificial Intelligence
  • Basics of Networking
  • Bio-Informatics
  • C Programming
  • Computer Architecture
  • Computer Networks
  • Computer Organisations
  • Computer Organization
  • Cryptography And Network Security
  • Data Modelling And Uml
  • Data Structures
  • Data Warehousing And Mining
  • Database Management System
  • Design And Analysis Of Algorithm
  • Digital Image Processing
  • Discrete Maths Structure
  • Distributed Database
  • E-Business
  • Elective-Computer Networks
  • Embedded System
  • Formal Languages And Automata
  • Fuzzy Systems
  • Java Basic and Object Modeling Design
  • Logic Design
  • Microprocessor
  • Mobile Computing
  • Neural Network
  • Numerical Methods and Computation
  • Object Modeling And Design
  • Object Oriented Design And Programming
  • Object Oriented Programming
  • Operating System
  • Operating Systems
  • Parallel Algorithms
  • Pattern Recognition
  • PC Assembly and Maintenance
  • Principles of Communication Engineering
  • Principles Of Programming Languages
  • Real Time Systems
  • Software Engineering
  • Software Project Management (Spm)
  • Software Quality Engineering
  • Software Reusability
  • System Analysis and Design
  • System Programming And Compiler Design
  • Theory Of Computation
  • Unix Internals And Shell Programming
  • Visual Basic Programming
  • Web Technology