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B.E Artificial Intelligence and Machine Learning Data Structure Lab Syllabus - Mumbai University 2026

This is the First Year AI-ML syllabus under NEP 2020, in force from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Data-Structure-Lab.pdf
Semester 2 · First Year AI-ML

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Syllabus for Data Structure Lab

Semester 2 · First Year AI-ML

Module 0: Prerequisite

  • Constructs of C like Functions, Recursion, Arrays, Structures and Pointers.

Module I: Introduction

  • Overview of Data Structure, Elementary Data Structure Organization, Classification of Data Structures, Operations on Data Structures and Abstract Data Type, recursion.

Module II: Stack

  • Introduction to Stacks, Array representation of Stacks, Operations on a Stack.

Module III: Queue

  • Introduction to Queues, Array representation of Queues, Types of Queues, Operations on Queue, Applications of Queues.

Module IV: Linked list

  • Basics of Linked list, ADT Operations Singly Linked Lists, Circular Linked Lists, Doubly Linked Lists, Linked representation of Stacks, and Linked representation of Queues.

Module V: Tree

  • Basic Terminology, Types of Trees, Binary Tree traversal, Operations on Binary Search Trees.

Module VI: Applications of Data Structures

Text Books

  • 1 Reema Thareja, “Data Structures using C”, Oxford Press.
  • 2 Aaron M Tenenbaum, Yedidyah Langsam, Moshe J Augenstein, “Data Structures Using C”, Pearson Publication.
  • 3 Ellis Horowitz, Sartaj Sahni, Fundamentals of Data Structures, Galgotia Publications; 2010.
  • 4 E. Balagurusamy, “Data Structure Using C”, Tata McGraw-Hill Education India.
  • 1 Narasimha Karumanchi, Data Structures And Algorithms, 5th Edition,CareerMonk, 2016.
  • 2 Jean Paul Tremblay, P. G. Sorenson, “Introduction to Data Structure and Its Applications”, McGraw-Hill Higher Education.
  • 3 Robert Kruse, C. L. Tondo, Bruce Leung, “Data Structures and Program Design in C”, Pearson Edition. Online Resources:

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under NEP 2020, in force from the academic year 2024-25. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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