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Program Development Project Practice

This course is part of 程序设计与算法.

As the capstone project for the "Programming and Algorithms" specialization, this course focuses on practical search engine design in collaboration with Tencent. Students will tackle real development challenges faced by internet companies, including efficient retrieval methods and improving search precision. Through this project, students will demonstrate their programming abilities and apply previously learned knowledge and skills. Tencent's senior engineers will provide professional guidance, and select students may be invited to on-site exchanges at Tencent. Completing this project demonstrates industry-ready program development capabilities. The first capstone project is tentatively scheduled for June 2016.

Instructors:

Chinese (China)

Not specified

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Program Development Project Practice

This course includes

6 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Build token processing systems for search engines

  • Implement storage indexing for efficient data retrieval

  • Develop inverted index structures for search functionality

  • Create document scoring algorithms for relevance ranking

  • Design query parsing systems for search interpretation

  • Optimize composite scoring methods for improved results

Skills you'll gain

Search Engine Development
Indexing Algorithms
Data Retrieval
Token Processing
Inverted Index
Query Parsing
Document Scoring
Programming
Algorithms

This course includes:

5 Hours PreRecorded video

7 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 8 modules in this course

This course offers a hands-on project in search engine design, a core application in internet companies. Students work through a series of programming challenges to build components of a functioning search engine system. The modules progress logically from basic token processing to complex query parsing and document scoring. Students implement critical search engine components including token streams, storage indexes, inverted indexes, document scoring, and query parsing. The project culminates in a complete search system that demonstrates practical programming skills applicable to real-world software development.

欢迎进入程序开发项目

Module 1 · 4 Minutes to complete

作业1:Read Token Stream

Module 2 · 60 Minutes to complete

作业2:Storage Index

Module 3 · 40 Minutes to complete

作业3:Write Inverted Index

Module 4 · 50 Minutes to complete

作业4:Iterate and Score Documents on Posting List

Module 5 · 40 Minutes to complete

作业5:Search Inverted Index

Module 6 · 40 Minutes to complete

作业6:Composited Scores

Module 7 · 50 Minutes to complete

作业7:Parse Query

Module 8 · 40 Minutes to complete

Instructors

Guo Wei
Guo Wei

4.7 rating

812 Reviews

56,965 Students

3 Courses

Professor at Peking University

Guo Wei graduated from the Department of Computer Science at Peking University in 1997 with a master's degree and has remained at the university as a faculty member ever since. He teaches courses such as Programming Practice and has served as the coach for Peking University's ACM/ICPC competition team for many years.He is the author of several notable works, including New Standard C++ Programming and Solutions to ACM International Collegiate Programming Contest Asia Regional Preliminary Contest Problems. His contributions to computer science education and competitive programming have significantly impacted students' learning experiences and skills development in programming and algorithmic problem-solving.

 Ge Li 李戈, Ph.D.
Ge Li 李戈, Ph.D.

4.8 rating

1,730 Reviews

48,322 Students

3 Courses

Associate Professor

Ge Li, associate professor from the computer science department at Peking University, a faculty member of the Key Laboratory of High Confidence Software Technologies of Ministry of Education, an invited supervisor of Yuanpei College. He is a principal investigator of the National Software Asset Repository, which has won the second National Science & Technology Progress Award and the Beijing Science and Technology Award. His research interests covered artificial intelligence, machine learning and knowledge engineering. He is currently a lecturer of the National Excellent Courses "Introduction to Computing", and has won Beijing Educational Innovation Model, first prize of the Association of Computer Education in Beijing Colleges and Universities, first prize of Teaching Skills Competition of Beijing Universities.

Program Development Project Practice

This course includes

6 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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