DSA & Problem Solving Bootcamp using Java

Course Description

This final module of the Data Structures & Algorithms with Java Bootcamp is designed to bring together everything you’ve learned throughout the program and apply it to real-world problem solving. Here, you’ll work on advanced coding challenges and hands-on projects that test your understanding of core DSA concepts using Java. From recursion and dynamic programming to trees, graphs, hashing, and backtracking, you’ll strengthen your ability to design efficient and optimized solutions for complex problems. The focus goes beyond simply finding the correct answer—you’ll learn how to write clean, scalable, and high-performance Java code that can handle real interview scenarios and practical software development challenges. This module serves as your DSA capstone experience, helping you transition from learning concepts to building complete solutions with confidence. By the end of the Data Structures & Algorithms with Java Bootcamp, you’ll be able to solve advanced DSA problems using industry-relevant techniques such as graph traversal, dynamic programming, and recursion. You’ll gain confidence in selecting the right data structures—including stacks, queues, heaps, trees, and hash maps—to solve real-world problems effectively. Most importantly, you’ll develop complete Java-based projects that demonstrate your analytical thinking, coding efficiency, and problem-solving abilities, preparing you for technical interviews and professional software development roles.

Course Fee Seats Limited

₹2500.00

Course Details

Duration
Duration
50 HRS
Duration
Course Label
SDC
Course Language
English
Duration
Course Mode
Online
Duration
Timings
6 PM - 8 PM
Days
Monday to Saturday
Registration Till
25 May 2026
Duration
Tentative ClassStart Date
summer
Duration
Eligible Schools:
Certificate Criteria
Certificate Criteria
75% attendance, 50% score in all Exams/CA

Curriculum Snapshot

Explore the comprehensive course modules

1 Java Programming Fundamentals

Introduction to Java, Object-Oriented Programming Concepts (Class, Object, Inheritance, Polymorphism, Encapsulation, Abstraction), Exception Handling, Collections Framework (ArrayList, LinkedList, HashMap, Stack, Queue), File Handling, Multithreading Basics, and Practice Programs.

2 Arrays

Introduction to DSA, Time & Space Complexity, Arrays – Basics and Operations (Insert, Delete, Search), Arrays – Sorting (Bubble, Selection, Insertion), Searching (Binary Search, Two-Pointer, etc.), and Arrays – Practice Problems.

3 Linked Lists

Linked Lists: Introduction, Memory Representation, Allocation, Traversal, Insertion, Deletion, Header Linked Lists, Two-Way Lists, and Operations on Doubly Linked Lists

4 Stack and Queue

Stacks: Introduction, List and Array Representations, Operations on Stack (Traversal, Push, Pop), Queue: Array and List Representation, Operations (Traversal, Insertion, Deletion), Circular Queue, and Priority Queue.

5 Heaps and Hashing

Hashing – Hash Tables, Collision Handling, Hashing Applications (Frequency Count, LRU Cache), Heaps – Min Heap, Max Heap, Heap Sort, and Practice Problems on Hashing and Heaps.

6 Tree

Tree Binary Trees – Introduction (Complete and Extended Binary Trees), Memory Representation (Linked, Sequential), Binary Search Trees – Searching, Insertion, Deletion, Traversals, and Practice Problems.

Instructor Spotlight

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Mukesh Sharma

Mukesh Sharma

Assistant Professor

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Arvind Kumar

Arvind Kumar

Assistant Professor

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