Data Structures and Algorithms (II)

Gain a comprehensive grasp of stack, queue, binary tree, graph, and BST structures and algorithms, as well as their applications. By the end of this course, you will be able to understand and implement stack, queue and binary tree, use binary trees to solve problems such as Huffman encoding, understand and implement the graph structure along with related algorithms such as BFS, DFS, and PFS, and understand and implement AVL tree.

Delve into the intricacies of stack and queue, including their applications, algorithms, and implementations. Explore various scenarios and problem-solving techniques through real-world examples and quizzes.

Explore the fundamentals of binary trees, including their representations, properties, and traversal rules. Dive into the implementation and manipulation of binary trees through both recursive and iterative approaches.

Learn about the essential properties of graphs and their representation in computer science. Understand graph search algorithms and their applications, including basic properties and representations.

Discover the principles and methods of binary search trees, including their search, insertion, and deletion operations. Gain insights into the balance and rebalancing of AVL trees through rotations and transformations.

Undertake programming assignments that complement the theoretical concepts covered in the course, applying your knowledge to practical problems and enhancing your algorithmic skills.