Master advanced data structures and algorithms to solve complex computational problems efficiently in this comprehensive course.
Master advanced data structures and algorithms to solve complex computational problems efficiently in this comprehensive course.
This comprehensive course builds on basic data structures to teach you how to improve program efficiency through advanced data structures and algorithms. You'll learn to address time-sensitive problems like fast sorting, efficient database lookups, and quick document searches. The course covers multidimensional arrays, generalized lists, Trie trees, AVL trees, and splay trees, combining these with internal sorting, external sorting, retrieval, and indexing algorithms to solve complex real-world problems efficiently. These advanced structures and algorithms are key to program performance, helping you gain a deeper understanding of problem-solving and program design that will benefit you in future computer science courses and project development.
4.3
(106 ratings)
13,808 already enrolled
Instructors:

Prof. Ming Zhang 张铭
Chinese (China)
Not specified
What you'll learn
Master advanced sorting techniques including merge sort, heap sort, and quick sort
Implement and understand hash tables and collision resolution strategies
Design and use specialized tree structures including AVL trees, B-trees, and Trie trees
Develop efficient external sorting algorithms for large datasets
Optimize search operations using advanced indexing techniques
Work with multidimensional arrays and generalized lists for complex data representation
Skills you'll gain
This course includes:
8.5 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This comprehensive course delves into advanced data structures and algorithms designed to optimize program efficiency. Students will learn multidimensional arrays, generalized lists, and specialized tree structures like Trie trees, AVL trees, and splay trees. The curriculum covers both theoretical concepts and practical implementations of internal sorting, external sorting, retrieval methods, and indexing techniques. Through hands-on programming assignments, students gain experience solving complex computational problems with time and space efficiency constraints. The course is structured to provide a deeper understanding of algorithmic thinking and data organization, essential skills for tackling real-world software development challenges.
欢迎来到高级数据结构与算法
Module 1 · 4 Minutes to complete
内排序(上)
Module 2 · 4 Hours to complete
内排序(下)
Module 3 · 4 Hours to complete
外排序
Module 4 · 3 Hours to complete
索引
Module 6 · 5 Hours to complete
高级线性结构
Module 7 · 4 Hours to complete
高级树形结构
Module 8 · 4 Hours to complete
期末考试,向毕业项目出发!
Module 9 · 30 Minutes to complete
Fee Structure
Instructor

Prof. Ming Zhang 张铭
4.2 rating
252 Reviews
29,630 Students
3 Courses
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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