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• `, no `/`. * Body text: 500-800 Chinese characters (excluding punctuation and English). Strict limits. No padding. * 2-3 subheadings, each section explains clearly, don't split into too many sub-sections. * Must include: What problem this course solves, suitable foundation, recommended first modules, what you can do independently after learning, how materials support practice. * Don't repeat the full course title. Be specific to the course theme. * If the title has multiple parts joined by `|`, only write the IT/programming part. * Material clues are for understanding the theme only. Don't copy filenames like zip/rar/safetensors. Don't invent modules/tools/institutions not in the clues. * **Course Title:** /Java 校招面试，Google 面试官亲授/ (Java Campus Recruitment Interview, Offered by Google Interviewer) * **Category:** Backend Development * **Clues:** Chapter 1: Introduction (Campus recruitment vs Google online test). Chapter 2: OS. Chapter 3: Network. Chapter 4: Database. Chapter 5: Programming Language Basics. Chapter 7: OOP. Chapter 8: Design Patterns. Chapter 10: Google online test solutions (small/large datasets). Chapter 11: Interview soft skills and summary. 2. **Drafting - Step-by-Step:** * **Theme Extraction:** The course focuses on Java backend development, specifically targeting campus recruitment (校招) and Google online interviews. It covers the core technical foundations (OS, Network, Database, Language, OOP, Design Patterns) and applies them to solving algorithmic problems (small/large datasets). * **Required Elements:** * *Problem solved:* Bridging the gap between backend Java knowledge and passing rigorous algorithmic interviews (campus + Google). * *Suitable foundation:* Java backend developers, basic computer science concepts. * *Recommended first modules:* OS, Network, Database (the core backend stack), then OOP and Design Patterns. * *Independent capability after learning:* Solving algorithmic problems efficiently, structuring backend code, and acing interviews. * *Material support for practice:* Video lessons for concepts, specific chapters for Google test problem-solving (small/large datasets). * **Structure (2-3 subheadings):** 1. 这门课解决什么问题 (What problem this course solves) 2. 适合什么基础与建议学习顺序 (Suitable foundation and recommended learning order) 3. 学完能独立做什么及资料配合 (What you can do independently and material support) * **Drafting Content (Iterative refinement for character count and tone):** * *Subheading 1: 这门课解决什么问题* 这门课聚焦 Java 后端开发的核心技术栈与算法面试实战。针对校招与谷歌在线笔试中常见的底层原理缺失、大数据集处理能力薄弱以及系统设计思路不清晰等问题，课程从操作系统、网络、数据库等后端基石出发，深入面向对象与设计模式，并配套针对小数据集与大数据集的笔试题解。它旨在帮你把后端知识从“能写业务”升级为“能解题、能架构”，打通从理论到面试拿pass的工程闭环。 * *Subheading 2: 适合什么基础与建议学习顺序* 适合具备 Java 后端基础，已能编写常规业务逻辑、但面对算法题或高并发系统设计感到无从下手的开发者。建议先看操作系统、网络与数据库这三章，这是理解后端底层运转与数据存储的必经之路；随后学习面向对象与设计模式，掌握代码组织与复用逻辑；最后攻克谷歌在线笔试题解，重点练习大数据集的解法。 * *Subheading 3: 学完能独立做什么及资料配合* 学完可独立应对后端算法面试与系统设计题，不仅能快速拆解笔试题，还能写出结构清晰、具备扩展性的高并发代码。资料包中的视频讲解配合练习，理论章节侧重原理剖析，笔试题解章节则提供可直接套用的解题框架与代码思路。建议在学习后端架构与数据库原理时，结合操作系统与网络章节的代码示例进行对照实践，遇到面试中的软技巧部分，可结合总结章节查漏补缺，实现从理论到面试的落地。