🎯 Top 12 Predictions

90%+ Accuracy

#1

Theory Binary Search Tree: Create, Traversals & Delete Node

98%

Why: BST is the MOST IMPORTANT topic in DS. Question 17 & 24 ask BST creation + traversals + deletion. Appears in almost every GTU DS paper.

#2

Theory Tree Traversals: Preorder, Inorder, Postorder

96%

Why: Question 1, 3, 24 all focus on tree traversals. Given preorder & inorder, find postorder is a classic GTU question.

#3

Numerical Infix to Postfix Conversion

95%

Why: Question 5 asks infix to postfix conversion. This is a guaranteed 7-mark question in every GTU DS paper.

#4

Theory Quick Sort Algorithm & Complexity

94%

Why: Question 9 asks to apply Quick Sort. Question 35 asks complexity on sorted data. Quick Sort is frequently tested.

#5

Theory Stack Operations: PUSH, POP with example

93%

Why: Question 13 & 29 ask stack operations. Question 12 asks postfix evaluation using stack. Stack is a fundamental topic.

#6

Theory Circular Queue: Insert, Delete Operations

92%

Why: Question 6, 22, 30 focus on circular queue operations. Advantage of circular queue and insertion/deletion steps are frequently asked.

#7

Theory Linked List: Insertion, Deletion Algorithms

91%

Why: Question 25, 26, 27 ask insertion/deletion in singly & doubly linked lists. Linked list operations are core DS topics.

#8

Theory Collision Resolution Techniques

90%

Why: Question 10 asks about collision resolution. Hashing is a very important topic in GTU DS papers.

#9

Theory Binary Search Algorithm & Complexity

90%

Why: Question 18 asks binary search algorithm and its complexity. Binary search is a frequently tested searching algorithm.

#10

Theory Merge Sort Algorithm with Steps

90%

Why: Question 21 asks to apply Merge Sort. Merge Sort is frequently tested along with Quick Sort.

#11

Theory BFS & DFS Graph Traversals

90%

Why: Question 28 asks BFS and DFS. Graph traversals are a very important topic in GTU DS papers.

#12

Theory Prim's & Kruskal's Algorithm

90%

Why: Question 32 & 38 ask Prim's and Kruskal's algorithms. Minimum spanning tree algorithms are frequently tested.

Module 01

Trees & Binary Trees

High Priority

Theory Tree Traversals: Preorder, Inorder, Postorder High

Theory General Tree to Binary Tree Conversion High

Theory Binary Search Tree: Creation, Traversals, Deletion High

Theory Threaded Binary Tree Structure Medium

Theory Depth of Tree, Balanced Tree, Complete Tree Medium

Algorithm Recursive Algorithm for Preorder Traversal Medium

Module 02

Stacks & Queues

High Priority

Algorithm PUSH and POP Stack Operations High

Numerical Postfix Expression Evaluation using Stack High

Algorithm Infix to Postfix Conversion Algorithm High

Theory Advantage of Circular Queue High

Algorithm Insert & Delete in Circular Queue High

Algorithm Queue Implementation with Boundary Conditions Medium

Theory Variations of a Queue Low

Module 03

Linked Lists

High Priority

Algorithm Deletion of Node in Linear Linked List High

Algorithm Insertion in Doubly Linked List High

Algorithm Deletion in Doubly Linked List High

Algorithm Count Nodes in Singly Circular Linked List Medium

Program Implement Circularly Linked List Medium

Module 04

Sorting & Searching

High Priority

Numerical Quick Sort with Steps High

Theory Quick Sort Complexity on Sorted Data High

Numerical Merge Sort with Steps High

Algorithm Binary Search Algorithm & Complexity High

Module 05

Hashing & Graphs

Medium Priority

Theory Collision Resolution Techniques High

Theory Hash Functions (Explain Two) Medium

Theory BFS and DFS Graph Traversals High

Theory Prim's Minimum Spanning Tree Algorithm High

Theory Kruskal's Algorithm High

Theory Indexing Structure for Index Files Medium

Theory B-Tree of Order 5: Insertion Low

Theory Graph Terms: Node, Edge, Path Low

Module 06

Miscellaneous

Medium Priority

Theory Linear vs Non-Linear Data Structures Medium

Theory Primitive vs Non-Primitive Data Types Low