PART B 2 x 15 = 30 Marks
Department of _______________________ (i) Solve T(n)=T(n-1)+n n>1 by backward
10 CO1 BT1
substitution method.
11
(Common to All branches) (a) (ii) Elaborate Asymptotic analysis of an
CONTINUOUS ASSESSMENT TEST – I 5 CO1 BT2
algorithm.
Academic Year: 2024-25 - EVEN Semester
(or)
Register No. : SET : A 11 Explain the Strassen’s matrix multiplication
15 CO1 BT2
(b) method with example.
Date & Session : 16.04.2025 & AN Year/Semester : II/IV
Explain Knapsack problem using greedy
Subject code / :
Name of the 21CSE07-Design and Analysis of Algorithms
technique with capacity
Subject 12
: : 15 BT3
Marks 50 Marks Duration 1:30 Mins
(a) CO2
Part A 10 x 2 = 20 Marks
Q. BT
Question Marks CO (or)
No Level
1 What is an algorithm?
2 CO1 BT1
2 CO1
List the properties of order of growth. 2 BT2
3 How to find the best and worst case of an CO1 12 CO2 BT3
algorithm? 2 BT2 15
(b)
4 Write the applications of convex hull? CO1
2 BT1 Apply PRIM’S algorithm to find the minimum
5 CO1 cost spanning tree for the above given problem.
What is substitution method and its types? 2 BT1
6 2 CO2 CO
Define Prim’s Algorithm. BT2 Level
Course Outcomes Marks
Analyze the asymptotic performance (time and space complexity)
7 2
What is greedy method? CO2 BT2 CO1 of algorithms. 25
8 Difference between prim’s and kruskal’s 2 CO2
algorithm. BT1 CO2 Understand and compare different algorithmic design techniques 25
BLOOM’S TAXONOMY LEVELS
9 2 CO2 BT1 – Remember, BT4 – Analyze,
What is Knapsack Problem? BT2 BT2 – Understand, BT5– Evaluate,
10 BT3 – Apply, BT6- Create
Define Minimum spanning tree with example. 2 CO2 BT1
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