Data Structures & Algorithms in Java Overview

This course is focused on Data Structures, Algorithms, and Problem Solving using Java. We will start from the basics and gradually move towards solving common coding problems, ensuring a solid understanding of the core concepts necessary for proficiency in programming.

Course Content

Throughout this course, we will cover a range of essential topics that are crucial for mastering Data Structures and Algorithms:

• Time and Space Complexity: Understand how to evaluate the efficiency of algorithms and their resource utilization.

• Arrays and Strings: Learn about the foundational data structures used to store collections of data.

• Searching and Sorting: Explore various algorithms for searching data and sorting arrays efficiently.

• Recursion: Delve into the concept of recursion and its applications in solving problems.

• Linked List: Understand the structure and operations associated with linked lists.

• Stack and Queue: Learn about these fundamental data structures and their applications in programming.

• Hashing: Explore hash tables and their importance in data retrieval.

• Two Pointer Technique: Discover this efficient approach to solving problems involving arrays and lists.

• Sliding Window: Learn how to optimize problems involving sequences using the sliding window technique.

• Prefix Sum: Understand the prefix sum concept and its applications in range queries.

• Trees and Binary Trees: Gain insights into tree structures and their traversal methods.

• Binary Search Tree Basics: Learn about binary search trees and their operations.

• Basic Graph Concepts: Explore the fundamentals of graph theory and its applications.

• BFS and DFS: Understand the breadth-first search and depth-first search algorithms for traversing graphs.

• Greedy Basics: Learn about greedy algorithms and their applications in optimization problems.

• Dynamic Programming Basics: Discover the principles of dynamic programming and how to approach complex problems using this technique.

• Regular Coding and Problem-Solving Practice: Engage in coding exercises to reinforce your understanding and application of the concepts learned.

Learning Objectives

The main focus of this course will be on understanding how to approach a problem, choosing the right data structure, and writing efficient solutions in Java. Students will learn to think critically about coding challenges and apply their knowledge to solve real-world problems.

Who Should Enroll

This course is suitable for beginners as well as students who already know basic Java and want to build a strong foundation in Data Structures and Algorithms. If you are looking to enhance your programming skills and improve your problem-solving abilities, this course is the right choice for you.

FAQs

What is the duration of the course?

The course duration is 30 hours, conducted over weekdays.

What programming language will be used in the course?

The primary programming language used in this course will be Java.

Is prior knowledge of Java required?

While some basic knowledge of Java is beneficial, the course is designed to accommodate beginners as well.

How will the course be delivered?

The course will be conducted online, allowing for flexible learning from the comfort of your home.