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    • Beginning Java Data Structures and Algorithms

    Enroll Now
    Duration
    2 days
    Delivery
    (Online and onsite)
    Price
    Price Upon Request
    The Beginning Java Data Structures and Algorithms course introduces different algorithmic techniques in each chapter. It does this by describing example problems and providing Java implementations where appropriate.

    Choosing the right algorithms and data structures for real-world software development problems helps to keep solutions simple and efficient. In this two-day course, we explore various core algorithms and provide detailed implementations.

    The course provides a base understanding of runtime complexity theory and then gradually exposes the reader to various methods and concepts on the subject. Each chapter is designed to build on the learnings of the previous ones.

     

    This course is packed with the theory and hands-on activities that will help cement the foundation of algorithms and data structures. Algorithms and data structures are the lifeblood of programming. They enable the programmers to write the code that handles the data efficiently.

    Lesson 1: Algorithms and Comlilexities

    • Developing our first algorithm
    • algorithmic complexity with Big O notation
    • Identifying algorithms with different complexities

    Lesson 2: Sorting Algorithms and Fundamental Data Structures

    • Introducing bubble sort
    • Understanding quick sort
    • Using merge sort
    • Getting started with fundamental data structures

    Lesson 3: Hash Tables and Binary Search Trees

    • Introducing hash tables
    • Getting started with binary search trees

    Lesson 4: Algorithm Design paradigms

    • Introducing greedy algorithms
    • Getting started with divide and conquer algorithms
    • Understanding dynamic programming

    Lesson 5: String Matching Algorithms

    • Beginning naive search algorithm
    • Getting started with the Boyer-Moore string searching algorithm
    • Introducing other string matching algorithms

    Lesson 6: Graphs, Prime Numbers, and Complexity Classes

    • Representing graphs
    • Traversing a graph
    • Calculating shortest paths
    • Prime numbers in algorithms
    • Other concepts in graphs
    • Understanding complexity classes of problems

    The target audience of this course is Java beginners who want to estimate the efficiency of the code and understand different algorithm techniques beneficial for a broad set of tasks. It is expected that the audience has a basic understanding of object-oriented programming techniques.

    Hardware

    This Java Data Structures and Algorithms course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

    • Processor: i3
    • Memory: 2 GB RAM
    • Hard disk: 10 GB
    • Internet connection

     

    Software

    • Operating system: Windows 8 64“bit or MacOS
    • A text editor:  Notepad++
    • A terminal: Command Prompt or PowerShell on Windows or Terminal on macOS
    • A run-time environment: Java Runtime Environment(JRE) 1.6 or higher
    • A software development kit: Java SE Development Kit, JDK 8 (or a later version)
    Overview
    The Beginning Java Data Structures and Algorithms course introduces different algorithmic techniques in each chapter. It does this by describing example problems and providing Java implementations where appropriate.

    Choosing the right algorithms and data structures for real-world software development problems helps to keep solutions simple and efficient. In this two-day course, we explore various core algorithms and provide detailed implementations.

    The course provides a base understanding of runtime complexity theory and then gradually exposes the reader to various methods and concepts on the subject. Each chapter is designed to build on the learnings of the previous ones.

     

    This course is packed with the theory and hands-on activities that will help cement the foundation of algorithms and data structures. Algorithms and data structures are the lifeblood of programming. They enable the programmers to write the code that handles the data efficiently.

    Lesson 1: Algorithms and Comlilexities

    • Developing our first algorithm
    • algorithmic complexity with Big O notation
    • Identifying algorithms with different complexities

    Lesson 2: Sorting Algorithms and Fundamental Data Structures

    • Introducing bubble sort
    • Understanding quick sort
    • Using merge sort
    • Getting started with fundamental data structures

    Lesson 3: Hash Tables and Binary Search Trees

    • Introducing hash tables
    • Getting started with binary search trees

    Lesson 4: Algorithm Design paradigms

    • Introducing greedy algorithms
    • Getting started with divide and conquer algorithms
    • Understanding dynamic programming

    Lesson 5: String Matching Algorithms

    • Beginning naive search algorithm
    • Getting started with the Boyer-Moore string searching algorithm
    • Introducing other string matching algorithms

    Lesson 6: Graphs, Prime Numbers, and Complexity Classes

    • Representing graphs
    • Traversing a graph
    • Calculating shortest paths
    • Prime numbers in algorithms
    • Other concepts in graphs
    • Understanding complexity classes of problems

    The target audience of this course is Java beginners who want to estimate the efficiency of the code and understand different algorithm techniques beneficial for a broad set of tasks. It is expected that the audience has a basic understanding of object-oriented programming techniques.

    Hardware

    This Java Data Structures and Algorithms course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

    • Processor: i3
    • Memory: 2 GB RAM
    • Hard disk: 10 GB
    • Internet connection

     

    Software

    • Operating system: Windows 8 64“bit or MacOS
    • A text editor:  Notepad++
    • A terminal: Command Prompt or PowerShell on Windows or Terminal on macOS
    • A run-time environment: Java Runtime Environment(JRE) 1.6 or higher
    • A software development kit: Java SE Development Kit, JDK 8 (or a later version)
      Upcoming Dates
      Date on Request

    Follow Up Courses

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