Introduction to Data Structures
Master foundational data structures in this Chinese-language course covering linear structures, trees, and graphs for practical problem-solving.
Master foundational data structures in this Chinese-language course covering linear structures, trees, and graphs for practical problem-solving.
This comprehensive course explores fundamental data structures essential for computer programming and algorithm design. Students will gain expertise in organizing and storing data efficiently to solve real-world problems. The curriculum progresses from basic linear structures to more complex non-linear structures, providing a solid foundation for software development. Through practical assignments and examples, learners will understand how to select appropriate data structures for specific applications, analyze algorithm efficiency, and implement solutions for common computational problems. By mastering these concepts, students will enhance their programming capabilities and problem-solving skills for future advanced coursework and professional development.
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Chinese (China)
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What you'll learn
Understand fundamental data structure concepts and their practical applications
Master linear structures including lists, stacks, and queues
Implement string operations and pattern matching algorithms
Design and utilize binary trees for efficient data organization
Apply tree structures to solve optimization problems
Understand graph algorithms including shortest path and minimum spanning tree
Skills you'll gain
This course includes:
9.1 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This course provides a comprehensive introduction to data structures, which are fundamental to computer programming and problem-solving. Students begin with an overview of data structures and algorithm analysis before exploring linear structures like lists, stacks, and queues. The curriculum then advances to more complex structures including strings, binary trees, and graphs. Each module combines theoretical concepts with practical applications, demonstrating how these structures can be used to solve real-world problems efficiently. Through assignments and examples, students learn to evaluate algorithmic efficiency and select appropriate data structures for specific scenarios. The course emphasizes both conceptual understanding and implementation skills, preparing students for advanced study in computer science.
欢迎来到数据结构基础
Module 1 · 5 Hours to complete
线性表
Module 2 · 4 Hours to complete
栈与队列
Module 3 · 4 Hours to complete
字符串
Module 4 · 4 Hours to complete
二叉树应用
Module 6 · 4 Hours to complete
树
Module 7 · 4 Hours to complete
图
Module 8 · 5 Hours to complete
期末考试，新征程起航！
Module 9 · 30 Minutes to complete
Fee Structure
Instructor
A Leading Figure in Computer Science Education and Research
Prof. Ming Zhang is a distinguished professor at Peking University's School of Electronics Engineering and Computer Science. She earned her Bachelor, Master, and PhD degrees in Computer Science from Peking University. Prof. Zhang serves as a member of the ACM Education Council and chairs the ACM China Education Committee. Her research focuses on text mining, social network analysis, and computing education. She has published over 100 research papers in top conferences and journals like KDD, AAAI, and TKDE. Prof. Zhang is also a leading author of textbooks on Data Structures and Algorithms, with her course being recognized as a National Elaborate Course by MOE China. Additionally, she holds several software copyrights and patents and has been involved in various educational projects, including the development of national-level courses
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Frequently asked questions
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