Binary Search Trees in Python – Complete Teaching & Learning Resource

|PPT|Activity|MCQs|Worksheets|Marking Scheme

Explore the fundamentals of Binary Search Trees (BSTs) with this comprehensive, classroom-ready Computer Science resource from SiliconScholar.

Designed for Cambridge International AS & A Level Computer Science (9618), this resource helps students understand tree-based data structures through clear explanations, visual demonstrations, Python programming examples, practical activities and assessment exercises.

Learning Objectives

By completing this resource, students will be able to:

• Understand the concept and structure of Binary Search Trees.
• Identify root nodes, parent nodes, child nodes and leaf nodes.
• Explain the properties of a Binary Search Tree.
• Understand how values are organised within a BST.
• Perform insertion and searching operations.
• Understand node deletion and its different cases.
• Traverse BSTs using In-order, Pre-order and Post-order methods.
• Implement Binary Search Trees using Python.
• Trace BST operations step by step.
• Apply tree structures to practical programming problems.

Topics Covered

1. Introduction to Binary Search Trees

• Definition and characteristics.
• Tree terminology and structure.
• Root, parent, child and leaf nodes.
• Left and right subtree properties.
• Binary Tree vs Binary Search Tree.

2. Binary Search Tree Operations

• Creating and initialising a BST.
• Inserting new nodes.
• Searching for values.
• Deleting nodes.
• Finding minimum and maximum values.
• Understanding tree height and depth.

3. Tree Traversal Techniques

• In-order traversal.
• Pre-order traversal.
• Post-order traversal.
• Step-by-step traversal demonstrations.

4. Python Programming

• Creating a Node class.
• Building a Binary Search Tree.
• Implementing insertion and searching.
• Implementing traversal algorithms.
• Practical coding exercises and debugging.

What’s Included?

• Professionally designed PowerPoint presentation.
• Student worksheet with structured exercises.
• Practical Python programming activities.
• Multiple-choice questions (MCQs).
• Algorithm tracing exercises.
• Exam-style assessment questions.
• Complete answer key and detailed marking scheme.

Curriculum Alignment

Cambridge International AS & A Level Computer Science – 9618

Suitable for developing understanding of tree-based data structures and their practical implementation through programming.

Ideal For

• Cambridge AS & A Level Computer Science teachers.
• A Level Computer Science students.
• Python programming lessons.
• Data Structures teaching.
• Classroom activities and independent learning.
• Revision, homework and assessment preparation.