Level-Order Traversal and Node Deletion in BST

Lecture 15 of CS301 Data Structures introduces breadth-first Level-Order Traversal and begins the detailed study of the BST node deletion algorithm. Unlike depth-first traversals that utilize stacks or recursion, level-order traversal visits nodes level by level from top to bottom and left to right. This is implemented using a FIFO Queue: the root is enqueued, and in a continuous loop, the front node is dequeued, visited, and its left and right children are enqueued. The lecture demonstrates storing complex data types, such as strings and customer records, within BSTs. The lecture then addresses the complex problem of deleting a node from a BST while preserving the BST ordering property. Students examine the first two deletion cases: Case 1, deleting a leaf node (with zero children), which simply requires resetting the parent's pointer to null and deallocating memory; and Case 2, deleting a node with a single child (left or right), where the node's single child is directly linked to the deleted node's parent. In preparing for Virtual University assessments in CS301 Data Structures, students should thoroughly review past paper subjective questions and verify key algorithm implementations relating to Level-Order Traversal and Node Deletion in BST. Understanding foundational data structures, pointer mechanics, algorithmic complexity, and dynamic memory allocation ensures thorough conceptual mastery for both midterm examinations and technical programming interviews. Regular practice with official VU handouts pdf, solved mcqs by Moaaz and Waqar Siddhu, and targeted practice quizzes strengthens analytical capabilities, improving problem-solving speed and overall academic grades in computer science. Consistent revision of lecture handouts guarantees optimal retention. In preparing for Virtual University assessments in CS301 Data Structures, students should thoroughly review past paper subjective questions and verify key algorithm implementations relating to Level-Order Traversal and Node Deletion in BST. Understanding foundational data structures, pointer mechanics, algorithmic complexity, and dynamic memory allocation ensures thorough conceptual mastery for both midterm examinations and technical programming interviews.