21AI32 Dayananda Sagar University • CSE — Artificial Intelligence & Machine Learning (Semester 3)

Data Structures and Algorithms with Python

💡 DSU Exam Strategy & Guidance

Python implementations of Linked Lists, Stacks, Queues, Binary Search Trees, Heaps, and Graph algorithms (BFS/DFS, Dijkstra).

High-Yield Passing Strategy: Write clean Python classes for Node, Stack, and BST with traversal methods.
Most Repeated Question Topics:
Python BST Insertion & Deletion Class MethodsHeap Sort & Priority Queue in PythonGraph Representation (Adjacency List vs Matrix)Big-O Complexity Analysis

🔥 Most Predictable Exam Questions (1)

95% Probability 8 Marks Module 3: Trees & Traversal

Q1. Implement a complete Python class for a Binary Search Tree (BST) with methods: insert(val), search(val), and inorder_traversal().

Key Points: Define class TreeNode with left, right, val. In BST class, recursive insertion: if val < root.val => root.left = insert(root.left, val); else root.right = insert(root.right, val). Inorder visits left -> root -> right.

🎓 Open Source Courses & Video Playlists (2)

MIT OpenCourseWare

MIT 6.006: Introduction to Algorithms with Python

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freeCodeCamp

freeCodeCamp: Data Structures & Algorithms in Python

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📄 Previous Year Question Papers (1)

END_SEM • 2024

End Semester Exam 2024

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