Mastering Data Structures and Algorithms with Java by EDUCBA Bridging the Gap
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Free Download Mastering Data Structures and Algorithms with Java by EDUCBA Bridging the Gap
Published: 12/2024
Created by: EDUCBA Bridging the Gap
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 121 Lectures ( 16h 12m ) | Size: 5.67 GB
Free Download Mastering Data Structures and Algorithms with Java by EDUCBA Bridging the Gap
Published: 12/2024
Created by: EDUCBA Bridging the Gap
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 121 Lectures ( 16h 12m ) | Size: 5.67 GB
Learn Java programming from scratch, explore core concepts, and master Data Structures and Algorithms.
What you'll learn
Java programming fundamentals, including classes, objects, and methods
Core OOP concepts like inheritance, encapsulation, and abstraction
Efficient handling of data structures such as arrays, lists, and maps
Advanced concepts like multi-threading, concurrency, and algorithm complexity
Real-world applications of algorithms and data structures for problem-solving
Requirements
Basic understanding of programming concepts (no prior Java experience required)
Willingness to learn and apply Java concepts through practice
Access to a computer with Java Development Kit (JDK) installed
Description
IntroductionThis course is designed to provide comprehensive coverage of Java programming and data structures, equipping learners with the necessary tools to solve complex problems efficiently. Whether you're a beginner or an intermediate learner, you'll gain a solid understanding of core Java concepts such as objects, classes, loops, and methods, and advance to more complex topics like multithreading, concurrency, and algorithm complexity. The course combines theoretical explanations with practical examples to ensure a thorough learning experience.Course Sections
Overview
Section 1: CourseOverview
In this section, you will be introduced to the course objectives, structure, and a detailed exploration of Data Structures and Algorithms (DSA). You will learn how the course will be structured and what key concepts you will encounter along the way. Understanding the course layout is crucial for effectively navigating through different topics.Section 2: Classes and ObjectsThe foundation of object-oriented programming in Java is established in this section. You will dive into creating Java classes and objects, understand constructors, and explore different types of constructors. Practical sessions on constructors and arguments will help you get hands-on experience. This section also introduces Java keywords and comments, making sure you understand the syntax and structure of a Java program.Section 3: Decision MakingThis section focuses on decision-making structures in Java, such as if-else statements, switch-case programs, and nested conditions. You'll understand how to implement conditional logic in Java programs and learn to use Java's looping and control system effectively for decision-making.Section 4: Numbers ClassExplore Java's Number class and its various methods. You will understand how to manipulate numbers using Java's built-in methods, such as the Math class, to perform mathematical operations. This section also discusses number conversions and provides practical examples for better clarity.Section 5: Character ClassDive into the Character class and learn how to work with escape sequences, character methods, and how characters are handled in Java. This section also covers the use of Java's built-in Character class methods to manage character data effectively.Section 6: String ClassJava strings are a crucial data type for handling text. In this section, you'll explore Java's String class, learn how to manipulate strings (e.g., reversing, comparing, and formatting), and handle common string operations efficiently.Section 7: ArraysArrays are one of the most basic data structures in Java. This section covers array fundamentals, iteration techniques, and methods to pass arrays to functions. You will also learn about array sorting and handling arrays in Java for efficient data storage and access.Section 8: Advanced ArraysDive deeper into arrays by learning advanced topics like passing arrays to methods, sorting arrays, and working with the Array class. You'll also get a better understanding of how Java handles dates and times, and how to convert between them.Section 9: Regular ExpressionsJava regular expressions allow you to manipulate and match patterns in strings. In this section, you'll learn how to use regular expressions to match patterns, replace text, and validate inputs effectively.Section 10: Methods and File IOLearn about Java methods, file input/output (I/O), and exception handling. You will cover different types of methods, practical sessions on handling files, and work with streams for reading and writing data in files.Section 11: OOPS ConceptsObject-Oriented Programming (OOP) is essential for writing efficient Java code. This section will guide you through concepts like inheritance, abstraction, encapsulation, and interfaces. You'll also explore the use of the super keyword and learn how Java implements virtual methods and method overriding.Section 12: Multi-ThreadingOverview
Java supports multi-threading, which is essential for creating responsive and efficient applications. This section introduces the concept of multi-threading, explains its importance, and walks through examples of how to implement it in Java.Section 13: ConcurrencyBuilding on the concepts of multi-threading, this section dives deeper into concurrency models and resource utilization in Java. You will explore how to handle concurrent data access and improve application performance through better resource management.Section 14: Types of ConcurrencyThis section explores different concurrency models in detail, including their benefits and potential drawbacks. You'll learn about non-deterministic job ordering, parallel workers, and how to apply the best concurrency models to your applications.Section 15: Data Structure and Algorithm ComplexityIn the final section, you will explore the complexity of algorithms, covering both time and space complexities. You'll learn how to analyze algorithms, understand running time analysis, and work with abstract data types (ADTs) to optimize your code.ConclusionBy the end of this course, you will be proficient in Java programming and equipped with a strong understanding of Data Structures and Algorithms. You will have the skills to write efficient Java code, solve complex problems, and apply your knowledge to real-world applications. With practical examples and a hands-on approach, this course provides a solid foundation in both basic and advanced Java programming techniques.Who this course is for
Beginners who want to learn Java programming
Intermediate programmers who want to deepen their understanding of Data Structures and Algorithms
Aspiring software engineers and developers seeking to enhance their problem-solving skills with Java
Homepage:
https://www.udemy.com/course/mastering-data-structures-and-algorithms-with-java-q/
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