Enroll Course: https://www.coursera.org/learn/shuju-jiegou-suanfa
As aspiring programmers and problem-solvers, we often hit a wall when trying to translate our C/C++ coding skills into tackling real-world challenges. How do you efficiently manage company personnel, find the optimal match between talent and job openings, or plan the most efficient travel routes? These are the kinds of questions that plague our learning, work, and daily lives. Fortunately, Coursera’s ‘数据结构基础’ (Fundamentals of Data Structures) course provides the answers.
This course is built upon the foundational principle that ‘program = data structure + algorithm’. It delves into how data is organized and stored within a computer, enabling us to model information and its relationships in practical scenarios. By understanding the structure of a problem, we can then select the most appropriate solutions.
Throughout the course, you’ll gain mastery over essential data structures like linear lists, stacks and queues, strings, binary trees, general trees, and graphs. More importantly, you’ll learn to apply these structures and their associated algorithms to solve practical problems. Solid knowledge of data structures is crucial for project development and hierarchical design. Mastering this course will not only make higher-level computer science courses and graduation projects significantly easier but also lay a robust foundation for becoming an excellent programmer.
The syllabus covers a comprehensive range of topics:
* **Introduction:** Understanding the core concepts of data structures, data management, algorithmic efficiency, and C++ object-oriented programming.
* **Linear Lists:** Exploring the simplest and most widely used data structure, including sequential and linked list implementations, and analyzing their time and space efficiency.
* **Stacks and Queues:** Delving into these restricted linear lists, understanding their Last-In, First-Out (LIFO) and First-In, First-Out (FIFO) properties, and their applications in problems like expression evaluation and breadth-first search.
* **Strings:** Learning about string storage, common operations, and efficient algorithms like the Knuth-Morris-Pratt (KMP) algorithm for pattern matching.
* **Binary Tree Fundamentals:** Introducing non-linear structures, focusing on the properties and traversal methods of binary trees, and understanding their role in improving search efficiency.
* **Binary Tree Applications:** Exploring specialized binary trees such as Binary Search Trees, Heaps (Priority Queues), and Huffman Trees, and their applications in searching, sorting, and optimal coding.
* **Trees:** Expanding beyond binary trees to general tree structures, their storage methods, and traversal techniques, including applications like the Disjoint Set Union (DSU) data structure.
* **Graphs:** Covering graph storage, traversal algorithms (like Depth-First Search and Breadth-First Search), and classic problems such as shortest path (Dijkstra, Floyd) and minimum spanning tree (Prim, Kruskal).
The course content is derived from the textbook ‘Data Structures and Algorithms’ (edited by Zhang Ming, Wang Tengjiao, Zhao Haiyan, Higher Education Press, 2008), ensuring a solid theoretical grounding.
I highly recommend ‘数据结构基础’ to anyone looking to solidify their understanding of computer science fundamentals. It’s an invaluable resource for students and professionals alike, providing the essential building blocks for efficient and effective programming.
Enroll Course: https://www.coursera.org/learn/shuju-jiegou-suanfa