BCS401 | Analysis & Design of Algorithms

Module 1
INTRODUCTION: What is an Algorithm?, Fundamentals of Algorithmic Problem Solving. FUNDAMENTALS OF THE ANALYSIS OF ALGORITHM EFFICIENCY: Analysis Framework, Asymptotic Notations and Basic Efficiency Classes, Mathematical Analysis of Non recursive Algorithms, Mathematical Analysis of Recursive Algorithms. BRUTE FORCE APPROACHES: Selection Sort and Bubble Sort, Sequential Search and Brute Force String Matching.
Module 2

BRUTE FORCE APPROACHES (contd..): Exhaustive Search (Travelling Salesman probem and Knapsack Problem). DECREASE-AND-CONQUER: Insertion Sort, Topological Sorting. DIVIDE AND CONQUER: Merge Sort, Quick Sort, Binary Tree Traversals, Multiplication of Large Integers and Strassen’s Matrix Multiplication. 

Module 3
TRANSFORM-AND-CONQUER: Balanced Search Trees, Heaps and Heapsort. SPACE-TIME TRADEOFFS: Sorting by Counting: Comparison counting sort, Input Enhancement in String Matching: Horspool’s Algorithm.
Module 4
DYNAMIC PROGRAMMING: Three basic examples, The Knapsack Problem and Memory Functions, Warshall’s and Floyd’s Algorithms. THE GREEDY MET
Module 5
LIMITATIONS OF ALGORITHMIC POWER: Decision Trees, P, NP, and NP-Complete Problems. COPING WITH LIMITATIONS OF ALGORITHMIC POWER: Backtracking (n-Queens problem, Subset-sum problem), Branch-and-Bound (Knapsack problem), Approximation algorithms for NP-Hard problems (Knapsack problem).

BCS401 | Model Question Paper with Solution

MQP Solution
Access well‑organized Model Question Paper with step‑by‑step, point‑wise solutions. Each solution is created to save your time, clarify concepts, and help you revise effectively. 

BCS401 | Passing Package
( Score More )

Passing Package
A smart package made for VTU students! Selected important questions prepared to cover exactly what matters in VTU exams. Clear, simple, and quick to revise – perfect for last‑minute preparation and aiming for better marks with confidence.