Data Structure & Algorithms (DSA)
Data Structure & Algorithms (DSA) is a core programming course designed to build strong problem-solving and logical thinking skills. It covers arrays, linked lists, stacks, queues, trees, graphs, searching, and sorting techniques using C, C++, and Java. With a focus on algorithm design and optimization, students gain practical coding experience, preparing them for technical interviews and high-demand software development roles.
DATA STRUCTURE & ALGORITHMS THROUGH C / C++/‘JAVA’
ARRAYS (1D and 2D)
- Array Creation and Display
- Array operations (Traversal, Insertion, Deletion, Updating, Merging)
- Arrays and Pointers, Call by value, Call by Reference
- Algorithms in Arrays
STRINGS (Character Array)
- String Creation and Display
- String Functions (strcmp, strcmpi, strlwr, strupr, strrev, strlen, etc.)
- Working with Strings, Substrings, Characters
- Applications of Strings
- Algorithms in Strings
LINK LIST
- Dynamic memory allocation and its functions (malloc(), calloc(), realloc(), free(), etc.)
- Structure and Link List, Use of typedef and sizeof keywords
- Types of Link List (Singly, Doubly, Circular)
- Link List operations (Creation, Display, Traversal, Insertion, Deletion, Updation)
- Applications of Link List
- Algorithms in Link List
STACK
- Introduction of Stack
- PUSH and POP functions (for inserting and extracting the elements)
- ISEMPTY and ISFULL functions
- Applications of Stack
QUEUES
- Introduction of Queue
- Types of Queue (Simple, Circular, Priority, Double Ended)
- Queue operations (Insertion, Deletion)
- Applications of Queue
POLYNOMIALS
- Introduction of Polynomials
- Inserting and Storing Equations In Array of Structure
- Adding and Multiplying two Equations
- Simplification and Evaluating the Equations
SPARSE MATRIX
- Introduction of Sparse Matrix
- Insertion of elements
- Types of Sparse Matrix (Diagonal, Tri diagonal, Upper Tri diagonal, Lower Tri diagonal)
SEARCHING
- Binary Search (Array)
- Linear Search (Array and Link List)
SORTING TECHNIQUES (Array)
- Selection Sort
- Bubble Sort
- Insertion Sort
- Shell Sort
- Quick Sort
- Merge Sort
- Heap Sort
- Radix Sort
POLISH NOTATION
- Introduction of Polish Notation (Infix, Prefix, Postfix)
- Conversion of Infix to Postfix, Infix to Prefix
- Evaluation after conversion
TREES
Binary Tree
- Introduction of BinaryTree
- Creation (with recursion, without recursion)
- Traversal (Inorder, Preorder, Postorder)
AVL Tree
- Introduction of AVL Tree
- Balancing Factor
- Types of Rotations
- Creation of AVL tree and Insertion of new elements
B-Tree
- Introduction of B-Tree
- Order(Degree) in B-Tree
- Splitting of B-Tree
B+ Tree
- Introduction of B+ Tree
- Threaded Binary Tree
- Introduction of Threaded Binary Tree
GRAPHS
- Introduction of Graph
- Types of Graphs
- Adjacency Matrix, Adjacency List
- Traversal (Breadth First, Depth First)
- Spanning Tree (Kruskal’s Algorithm, Prim’s Algorithm, Dijkstra’s Algorithm)
Why Choose This Course
This course strengthens your coding logic and problem-solving ability through structured DSA concepts. You learn how to write efficient algorithms and optimize performance. With hands-on coding practice and real-world problem solving, it prepares you for coding interviews, competitive programming, and software development careers in top tech companies.
- Strong focus on logic building
- Real-world problem solving
- Hands-on coding practice
- Stack and queue implementation
Frequently Asked Questions
Students, beginners, and programmers who want to improve logic and coding skills can join.
Basic programming knowledge is helpful but not mandatory.
C, C++, and Java are used to implement DSA concepts.
Yes, trees, graphs, and advanced algorithms are covered.
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