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郭 炜,
Jiaying Liu 刘家瑛, Ph.D.,
Ge Li 李戈, Ph.D.,
and
Prof. Ming Zhang 张铭
作为“程序设计与算法”系列专项课程的结业实践项目，我们联合腾讯公司，为大家设计了一个实际应用问题——搜索引擎设计。这是互联网公司中极具代表的实际开发项目。如何高效地进行检索？如何有效地提升搜索的精度？… 将要求你解决一系列搜索引擎设计中面临的实际问题。通过这个项目实践，我们希望能够对你的实际编程能力进行衡量，也希望你能够充分展现自己所学到的知识和技能。我们将在项目展开的过程中提供腾讯资深工程师的专业解答，并从完成项目的学习者中选拔部分同学参与在腾讯公司的现场交流。完成本实践项目，表明你已经具备了在企业承担程序研发工作的能力。
第一期的结业实践项目初步定为2016年6月。
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What's inside
Syllabus
欢迎进入程序开发项目
作业1：Read Token Stream
作业2：Storage Index
Read more
Syllabus
欢迎进入程序开发项目
作业1：Read Token Stream
作业2：Storage Index
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
深入了解搜索引擎设计，这是互联网公司中极具代表的实际开发项目。
由腾讯公司资深工程师提供专业解答，提升项目的学习质量。
提供腾讯公司现场交流的机会，有利于拓展人脉和学习前沿技术。
旨在培养实战编程能力，为企业研发岗位做好准备。
项目时间安排在2016年6月，可能与当前时间不符，需注意。
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Reviews summary
程序开发：实战搜索引擎项目
根据学习者反馈，这门“程序设计与算法”系列课程的结业项目是高质量的实践课程，其项目设计贴近实际应用，旨在构建一个搜索引擎，被认为非常有价值且能提升编程实践能力。学生们表示，通过项目实践能很好地巩固之前学到的算法和数据结构知识，并对系统设计和信息检索领域有了初步认识。许多人认为项目难度适中且具挑战性，适合有一定基础的学习者。课程中的腾讯工程师专业指导也受到好评。然而，部分学习者指出，由于项目设计时间较早，存在环境配置困难和依赖库版本过时的问题，需要额外的时间来解决。此外，也有反馈认为社区支持不够活跃，遇到问题时获取帮助不够及时。
挑战性强，适合有基础的学习者。
"作为“程序设计与算法”系列课程的收官之作，这个项目实践非常具有挑战性。"
"项目难度对于有一定基础的同学来说是合适的..."
"项目难度适中偏上，适合有一定基础的学习者。"
"对于没有太多项目经验的新手可能不太友好..."
将算法知识应用于大型项目。
"通过实际动手写代码，我对之前学到的数据结构和算法有了更深刻的理解。"
"这个项目实践是整个算法系列课程的精华所在。它把理论知识转化为了实际可运行的代码..."
"项目难度对于有一定基础的同学来说是合适的，可以深入理解并应用算法和数据结构。"
"课程质量很高，项目非常有实践意义。通过亲手实现一个搜索引擎，巩固了算法和数据结构知识..."
实践项目设计出色，对标工业界。
"项目设计贴近实际应用，能够很好地检验和提升学习者的编程实践能力。"
"项目很有意思，通过实现一个简单的搜索引擎，让我对信息检索领域有了基本的认识。"
"这是一门理论与实践结合得非常好的课程。项目从零开始搭建一个简化的搜索引擎..."
"项目的选题和设计都很棒，能够学到工业界常用的模式和技术。"
"课程质量很高，项目非常有实践意义。通过亲手实现一个搜索引擎，巩固了算法和数据结构知识，也接触到了实际开发中的系统设计问题。"
调试困难，社区或论坛不够活跃。
"有时候在调试过程中会遇到一些难以解决的问题，如果能有更活跃的社区或者论坛来交流就好了。"
"感觉社区支持不够，遇到问题只能自己摸索或者在有限的论坛里提问，回复不及时。"
"毕竟是一个实践性很强的项目。"
技术栈陈旧，搭建环境遇阻。
"课程内容似乎有些过时了，特别是一些依赖的外部库或者工具的版本。这导致我在搭建环境和运行代码时遇到了一些麻烦。"
"环境配置比较麻烦，依赖库版本问题突出。对于没有太多项目经验的新手可能不太友好，需要投入很多额外的时间去解决非核心的技术问题。"
"虽然项目时间设定在2016年，但核心思想和技术在今天依然有很强的参考价值。"
"如果能更新一下相关的技术栈就更好了。"
"如果能提供一个docker环境或者更详细的环境搭建指南会更好。"
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in 程序开发项目实践 with these
activities:
刷题练习 LeetCode
Show steps
通过刷题练习 LeetCode，提升算法解决问题的能力，为搜索引擎设计中的算法实现打下基础。
Show steps
-
选择与搜索引擎设计相关的 LeetCode 题目
-
尝试独立解决题目，并查阅相关资料
-
分析和理解题目中的算法思想
学习 Apache Lucene 教程
Show steps
学习 Apache Lucene 教程，了解搜索引擎的实现技术，为后续的搜索引擎设计项目做好准备。
Show steps
-
阅读 Apache Lucene 官方教程
-
动手实践 Lucene 的 API 和功能
-
探索 Lucene 的高级特性
Show all two activities
刷题练习 LeetCode
Show steps
通过刷题练习 LeetCode，提升算法解决问题的能力，为搜索引擎设计中的算法实现打下基础。
Show steps
Show steps
Show steps
- 选择与搜索引擎设计相关的 LeetCode 题目
- 尝试独立解决题目，并查阅相关资料
- 分析和理解题目中的算法思想
学习 Apache Lucene 教程
Show steps
学习 Apache Lucene 教程，了解搜索引擎的实现技术，为后续的搜索引擎设计项目做好准备。
Show steps
Show steps
Show steps
- 阅读 Apache Lucene 官方教程
- 动手实践 Lucene 的 API 和功能
- 探索 Lucene 的高级特性
Show all two activities
Career center
Learners who complete 程序开发项目实践 will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
This course will equip you with essential programming skills and knowledge indispensable to become a proficient Software Engineer. The course's emphasis on practical application, like the design and implementation of a search engine, aligns well with the role's responsibilities, which often involve developing and maintaining software systems.
Data Engineer
Data Engineer
The course's focus on search engine design provides you with a solid foundation in data storage, retrieval, and processing. These skills are highly sought after by Data Engineers responsible for designing, building, and maintaining data pipelines and systems to support data-driven decision-making.
Web Developer
Web Developer
This course gives you a practical understanding of search engine principles, which are crucial for Web Developers. You'll learn to design and implement efficient search functionality for websites, ensuring users can easily find the information they need.
Computational Scientist
Computational Scientist
The course's emphasis on efficient search algorithms and data structures is highly relevant to Computational Scientists who develop and apply computational methods to solve complex scientific problems. It provides you with skills to handle large datasets and design efficient algorithms for data analysis and visualization.
Quantitative Analyst
Quantitative Analyst
This course helps you develop a strong foundation in data analysis and problem-solving essential for Quantitative Analysts. You'll learn techniques for handling large datasets, efficiently retrieving and processing information, and developing statistical models.
Business Analyst
Business Analyst
By taking this course, you'll gain insights into search engine design and data analysis principles. This knowledge can be valuable for Business Analysts who need to understand user behavior, identify customer pain points, and make data-driven recommendations to improve business outcomes.
Product Manager
Product Manager
The course's focus on developing user-centric solutions through search engine design principles can be beneficial for Product Managers. It provides you with a framework to understand user needs, gather requirements, and design products that meet those needs.
Data Analyst
Data Analyst
This course introduces you to core concepts of data storage and retrieval through the lens of search engine design. This knowledge can be valuable for Data Analysts responsible for collecting, processing, and analyzing large datasets to extract meaningful insights.
Marketing Analyst
Marketing Analyst
Search engine optimization (SEO) is a crucial aspect of modern marketing. This course provides you with a foundation in SEO principles and techniques to improve the visibility and ranking of websites. This knowledge can be valuable for Marketing Analysts who need to drive traffic and increase brand awareness.
Database Administrator
Database Administrator
The course's emphasis on data storage and retrieval aligns with the responsibilities of Database Administrators. You'll learn techniques for efficient data management, indexing, and query optimization, essential skills for maintaining and optimizing database systems.
Information Architect
Information Architect
This course may be useful for Information Architects who design and organize information systems for optimal usability and accessibility. It provides insights into the principles of information retrieval and search engine design, which can contribute to the effectiveness of information architecture.
Technical Writer
Technical Writer
The course may be helpful for Technical Writers who need to write clear and concise documentation for technical products and systems, including software and data analysis tools. It enhances your ability to understand the underlying concepts and effectively communicate them to non-technical audiences.
Instructional Designer
Instructional Designer
This course could be beneficial for Instructional Designers who create and develop educational materials and resources. It provides you with a framework to structure and organize information, design effective user experiences, and incorporate search functionality to enhance learning.
Systems Analyst
Systems Analyst
The course may be useful for Systems Analysts who analyze and design computer systems and applications. It provides insights into the principles of software engineering and data management, which can contribute to the development of efficient and effective systems.
User Experience Designer
User Experience Designer
This course could be beneficial for User Experience Designers who focus on creating user-centered designs for websites, applications, and other digital products. It provides a foundation in information retrieval and search engine optimization, enabling you to design intuitive and seamless user experiences.
For more career information including salaries, visit:
OpenCourser.com/course/usdth3/Cheng
Reading list
We've selected 14 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
程序开发项目实践.
Save
深入探討 Lucene 搜尋引擎架構的基礎知識，以及如何使用 Java API 建立和調整自己的搜尋引擎。
Save
全面系统地介绍机器学习的基本原理、算法和应用，有助于理解搜索引擎中机器学习技术的使用。
提供 Elasticsearch 搜尋引擎的全面指南，涵蓋其架構、功能和最佳實務。
本书**全面介绍算法分析和设计技术**，并提供了大量的习题和编程练习。
探討大規模資料處理架構和技術的設計原則，有助於理解搜尋引擎後端的資料儲存和處理機制。
本书**从计算机的基本原理出发**，全面阐述了计算机系统的体系结构、组成原理和基本工作原理，有助于读者深入理解计算机系统的实现和设计技术。
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本书全面介绍了常用的数据结构和算法，并提供了大量的例题和习题。
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本书**全面介绍了软件工程的原则和实践**，并提供了大量的实例和习题。
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本书**全面介绍了 Java 语言的特性和用法**，并提供了大量的例题和习题。
提供資訊檢索演算法和啟發法的全面概述，對於理解搜尋引擎的核心技術有幫助。
本书深入阐述了计算机网络的基本概念、体系结构、协议、算法和实现技术，并结合了大量的实例和习题。
涵蓋資訊檢索的最新進展，包括自然語言處理、機器學習和深度學習，有助於了解搜尋引擎未來趨勢。
提供自然語言處理技術的實用指南，有助於理解搜尋引擎如何處理和分析文字資料。
介紹機器學習的基本概念和演算法，有助於理解搜尋引擎如何使用機器學習技術提高搜尋結果相關性。
For more information about how these books relate to this course, visit:
OpenCourser.com/course/usdth3/Cheng
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Effort
4 周课程, 2-4 小时/周
Level
Intermediate
Via
Coursera
Institution
Peking University
Instructors
郭 炜
Jiaying Liu 刘家瑛, Ph.D.
Ge Li 李戈, Ph.D.
Prof. Ming Zhang 张铭
Language
中文
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