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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-data-structures-and-algorithms-with-java-q/
课程评论：没有评论
课程名称：掌握Java中的数据结构和算法 课程概述： 本课程旨在全面涵盖Java编程和数据结构，为学习者提供解决复杂问题所需的工具。无论你是初学者还是中级学习者，都将获得对Java核心概念（如对象、类、循环和方法）的深入理解，并逐步深化到多线程、并发和算法复杂度等更复杂的主题。课程结合理论讲解和实践示例，确保学习体验的全面性。 课程部分概述： 第一部分：课程概述 介绍课程目标和结构，并详细探讨数据结构与算法（DSA），帮助学员理解课程布局。 第二部分：类与对象 建立Java面向对象编程的基础，学习创建Java类和对象，理解构造函数及其类型，并通过实际操作获得实践经验。 第三部分：决策结构 关注Java中的决策结构，如if-else语句、switch-case程序和嵌套条件，实现条件逻辑的有效应用。 第四部分：数字类 探索Java的数字类及其各种方法，理解数字的操作与转换，并通过实际示例增强理解。 第五部分：字符类 学习如何处理转义序列和字符方法，以及Java的字符数据管理。 第六部分：字符串类 深入研究Java的字符串类，学习如何操作字符串（如反转、比较和格式化）并高效处理常见字符串操作。 第七部分：数组 涵盖数组的基本知识、迭代技巧及将数组传递给函数的方法，学习数组排序和存储效率。 第八部分：高级数组 学习数组的高级主题，包括传递数组、排序及Java中的日期时间处理。 第九部分：正则表达式 掌握使用Java正则表达式进行字符串模式匹配、文本替换和输入验证。 第十部分：方法与文件I/O 学习Java中的方法、文件输入输出、异常处理，实践文件操作及数据读写流。 第十一部分：面向对象编程概念 深入了解继承、抽象、封装和接口等OOP概念，学习如何使用super关键字以及Java中虚方法的实现。 第十二部分：多线程概述 介绍多线程的概念及其重要性，学习在Java中实现多线程的示例。 第十三部分：并发 深入探讨并发模型和资源利用，了解如何处理并发数据访问以提升应用性能。 第十四部分：并发类型 详解不同的并发模型及其优缺点，学习如何将最佳并发模型应用于应用程序。 第十五部分：数据结构与算法复杂度 探讨算法复杂度，分析算法运行时间及空间复杂度，并与抽象数据类型（ADT）结合优化代码。 课程总结： 通过本课程的学习，学员将熟练掌握Java编程，并对数据结构和算法有扎实的理解。能够编写高效的Java代码，解决复杂问题，并将所学知识应用于实际应用中。课程提供了基础与高级Java编程技术的坚实基础，结合实用示例让学习体验更为深入。
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 OverviewSection 1: Course OverviewIn 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-Threading OverviewJava 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.
