CORE

Data Structures and Algorithms

24CSP304 · S3 · 4 credits

Official KTU 2024 syllabus subject — study with practice, PYQs and AI tools.

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Modules
Module 01Basic Concepts of Data Structures (7 hours)expand

Introduction: Abstract Data Types and Data Structures. Basic complexity analysis – Best, Worst, and Average Cases – Asymptotic Analysis -Analyzing Programs – Space Bounds, Complexity Calculation of Simple Algorithms.

Module 02Arrays and Linked List (9 hours)expand

Array - Stacks, Queues-Circular Queues, Double Ended Queues, Evaluation of Expressions. Linked List - Self Referential Structures, Dynamic Memory Allocation, Singly Linked List-Operations on Linked List. Doubly Linked List, Circular Linked List, Stacks and Queues using Linked List. Applications of array and linked list - Linear Search, Binary Search, Polynomial representation.

Module 03Trees and Graphs (8 hours)expand

Trees -Binary Trees - Binary Tree Representation, Tree Traversals, Priority Queues and Heaps, Binary Search Trees- Binary Search Tree Operations. Graphs, Representation of Graphs, Depth First Search and Breadth First Search on Graphs, Applications of Graphs.

Module 04Sorting and Memory Allocation (5 hours)expand

Sorting – Internal Sorting -Bubble sort, insertion sort, selection sort–– Merge Sort – Quick Sort. External Memory Sorting- The principle behind external sorting Sorting with tapes: balanced merge. Memory allocation and de- allocation-First-fit, Best-fit and Worst-fit allocation schemes.

Module 05Hashing Tableexpand

Map ADT - Hash Tables and implementation of Map using Hash Tables - Design of hash functions - Collision resolution schemes: chaining, open addressing schemes - linear probing, quadratic probing, double hashing. Applications of Hashing: finding duplicates, set intersection.

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