Browse Resources
VTU 2022 Scheme  ·  4th Semester  ·  CSE / AIML

Analysis & Design of Algorithms BCS401

Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack BCS401 in one focused page.

CodeBCS401
Credits03
CIE / SEE50 / 50
TypeTheory
Exam3 Hours
Hours / Week3-0-0
Last Updated:  15 March 2026

Module Overview

M1

Foundations and Basic Techniques

What is an algorithm, fundamentals of problem solving, analysis framework, asymptotic notations (O, Ω, Θ), efficiency classes, analysis of recursive and non-recursive algorithms. Brute force: selection sort, bubble sort, sequential search, string matching.

Chapter 1 (1.1, 1.2), Chapter 2 (2.1, 2.2, 2.3, 2.4), Chapter 3 (3.1, 3.2)
M2

Decrease & Conquer / Divide & Conquer

Exhaustive search (TSP, Knapsack), insertion sort, topological sorting. Divide and conquer: merge sort, quick sort, binary search tree operations, large-integer multiplication, Strassen matrix multiplication.

Chapter 3 (3.4), Chapter 4 (4.1, 4.2), Chapter 5 (5.1, 5.2, 5.3, 5.4)
M3

Transform and Space-Time Tradeoffs

Balanced search trees, heaps and heap sort, comparison counting sort, distribution counting. Horspool’s algorithm for string matching — faster than brute force with preprocessing.

Chapter 6 (6.3, 6.4), Chapter 7 (7.1, 7.2)
M4

Dynamic Programming and Greedy Methods

Foundational DP examples, Knapsack with memory functions, Warshall and Floyd algorithms. Greedy: Prim’s, Kruskal’s, Dijkstra’s, and Huffman coding — classic exam-heavy topics.

Chapter 8 (8.1, 8.2, 8.4), Chapter 9 (9.1, 9.2, 9.3, 9.4)
M5

Limits of Computation

Decision trees, P vs NP, NP-Complete problems. Backtracking (n-Queens, subset sum), branch-and-bound (TSP, Knapsack), approximation algorithms for NP-hard problems.

Chapter 11 (11.2, 11.3), Chapter 12 (12.1, 12.2, 12.3)

Resource Explorer

Browse all BCS401 study materials — notes, PYQs, and revision resources. Navigate folders for module-wise content and preview files before downloading.

Recently Viewed

Open any file to see it here for quick access later.

Need another subject?

Jump to other 4th Semester subjects and complete your study session.

Frequently Asked Questions

What is BCS401 — Analysis and Design of Algorithms?

BCS401 is the VTU theory course covering algorithm design paradigms (brute force, divide & conquer, dynamic programming, greedy), complexity analysis using asymptotic notations, and NP-completeness — all key topics for semester exams.

How many credits does BCS401 carry?

BCS401 carries 03 credits under the VTU 2022 scheme. The exam has CIE (50 marks) and SEE (50 marks), totalling 100 marks.

Where can I find notes and PYQs for BCS401?

Use the Resource Explorer on this page to browse module-wise notes, previous year question papers, and revision materials — all curated specifically for BCS401.

How should I prepare BCS401 for VTU SEE?

Follow the revision order M1 → M2 → M4 → M3 → M5. Master asymptotic analysis, sorting algorithms, and dynamic programming first — they carry maximum SEE weightage. Finish with timed PYQ practice across all 5 modules.

Is this page aligned with the current VTU 2022 scheme?

Yes. All module breakdowns, topics, and chapter references on this page follow the official VTU 2022 scheme syllabus for BCS401.

Explore More VTU Notes

Was This Helpful?