Java WITH DSA
Introduction to Java with DSA
- 1.721 students
- Last updated 25/7/2023
Descriptions
Introduction to Java Programming with Data Structures and Algorithms” is a meticulously structured course designed to introduce participants to the fundamentals of Java programming alongside essential concepts in data structures and algorithms. The course begins with an exploration of Java basics, covering variables, data types, control structures, and object-oriented programming (OOP) principles like classes, objects, and inheritance. Participants will then delve into crucial data structures such as arrays, linked lists, stacks, queues, trees, and graphs, gaining a deep understanding of their implementation and usage in solving real-world problems.
Moving forward, the course delves into algorithmic problem-solving techniques, including sorting algorithms (like bubble sort, merge sort) and searching algorithms (such as linear search, binary search). Additionally, participants will learn about algorithm analysis, time complexity, and space complexity, essential for evaluating and optimizing algorithm efficiency. Hands-on projects, coding exercises, and interactive sessions throughout the course ensure practical application of learned concepts, providing participants with the skills and confidence to tackle programming challenges and build efficient software solutions using Java and foundational data structures and algorithms.
Key Points
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Participants will learn the basics of Java programming, including variables, data types, control structures, object-oriented programming (OOP) concepts, and more.
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The course covers fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs, providing a solid foundation for handling and organizing data in programs.
- Participants will explore algorithmic problem-solving techniques such as sorting algorithms (e.g., bubble sort, merge sort), searching algorithms (e.g., linear search, binary search), and algorithm analysis.
- Understanding OOP concepts like classes, objects, inheritance, polymorphism, and encapsulation is a core focus of the course, enabling participants to write modular and reusable code.
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Hands-on exercises and coding projects will reinforce learning, allowing participants to apply Java programming skills and implement various data structures and algorithms.
- Upon completion, participants will be well-prepared to tackle programming challenges, understand efficient data management strategies, and pursue further studies or careers in software development, computer science, or related fields.
Course Lessons
- Overview of Java programming language.
- History and significance of Java in software development.
- Setting up Java Development Environment (JDK, IDEs like Eclipse or IntelliJ IDEA).
- Understanding variables, data types (primitive and non-primitive), and their usage.
- Exploring arithmetic, relational, logical, and assignment operators.
- Writing basic Java programs to perform calculations and manipulate data.
- Learning control structures such as if-else statements for decision-making.
- Exploring loop structures like for loop, while loop, and do-while loop for repetitive tasks.
- Implementing conditional logic and loops in Java programs.
- Introduction to object-oriented programming (OOP) concepts.
- Understanding classes, objects, constructors, and methods.
- Exploring inheritance, superclasses, subclasses, and method overriding.
- Understanding arrays and their use in storing and manipulating multiple elements of the same data type.
- Exploring one-dimensional and multi-dimensional arrays.
- Introduction to ArrayLists as dynamic arrays in Java.
- Understanding linked lists as a linear data structure.
- Implementing singly linked lists and doubly linked lists in Java.
- Performing basic operations like insertion, deletion, and traversal on linked lists.
- Exploring stack and queue data structures and their characteristics.
- Implementing stacks and queues using arrays or linked lists.
- Understanding stack operations (push, pop) and queue operations (enqueue, dequeue).
- Introduction to tree data structures, including binary trees and binary search trees (BST).
- Understanding tree traversal algorithms (in-order, pre-order, post-order).
- Implementing binary search tree operations like insertion, deletion, and searching.
- Overview of graph data structures and their applications.
- Exploring graph representations (adjacency matrix, adjacency list) and traversal algorithms (DFS, BFS).
- Implementing basic graph operations and algorithms in Java.
- Introduction to sorting algorithms like bubble sort, selection sort, insertion sort, merge sort, and quick sort.
- Understanding algorithmic concepts, time complexity, and space complexity.
- Implementing and comparing different sorting algorithms in Java.
- Exploring searching algorithms such as linear search and binary search.
- Understanding the concepts of search space reduction and efficiency.
- Implementing and analyzing search algorithms in Java programs.
- Introduction to algorithm analysis and asymptotic notation (Big O notation).
- Understanding time complexity and space complexity of algorithms.
- Analyzing and comparing the efficiency of various algorithms.
- Engaging in hands-on projects and coding exercises to apply learned concepts.
- Solving programming problems related to data structures, algorithms, and Java programming.
- Collaborating with peers and receiving feedback on code implementations.
- Concluding the course with a comprehensive assessment to evaluate understanding and skills.
- Earning a certificate upon successful completion of the course, showcasing proficiency in Java programming and data structures.
Instructor
Java Expert
This course includes:
- 40 hours on-demand Live Classes
- Full lifetime access
- Access on mobile, Tablet and Laptop
- 100% paid Internship Assurance
- Certificate of completion
