Data Structures and Algorithms serve as the backbone of computer science, playing a pivotal role in software development, optimization, and efficient problem-solving. Understanding how data is stored, organized, and manipulated, along with the ability to implement efficient algorithms, is crucial for writing efficient and scalable code. Whether you're building web applications, mobile apps, games, or any other software, a strong grasp of DSA principles will significantly enhance your ability to create robust and performant solutions.
By the end of this course, you'll have the confidence to tackle coding challenges, optimize code for efficiency, and approach complex problems with systematic strategies. Whether you're pursuing a career in software development or simply seeking to expand your intellectual horizons, mastering Data Structures and Algorithms will undoubtedly open doors to countless opportunities.
Are you ready to embark on this exciting journey into the heart of computer science? Let's get started!
Course Duration:
2 Months
- Introduction to Data Structures, Basic Data Types OOP (class types, information hiding).
- ADTs and Classes, Class Definition, Implementation and Use of Constructors and Value Semantics.
- Classes and Parameters, Container ADT, Pointer and Arrays
- Dynamic Container Class
- Linear Data Structure, ADT – List ADT
- Limitations of array Based Implementation of List, Linked List introduction.
- Implementation of linked lists.
- Doubly Linked List, Implementation of Doubly Linked List
- Circular Linked List, Doubly Circular Linked List
- List applications, Stack ADT – Array Based Implementation
- Stacks as Linked List
- Application of Stacks, Infix , postfix and prefix expressions
- Queue ADT – Array Based Implementation
- Circular Queue Implementation
- Application of Queues
- Sorting algorithms, Linear Search & Binary Search
- Tree Terminologies, Tree Traversal.
- Binary Tree ADT – Expression Trees, Application of trees
- Binary search tree ADT
- Binary Search Tree Implementation
- Introduction to Recursion
- Binary search tree implementation using recursive methods
- Tree traversal (in order, preorder, post order )Searching Issues, AVL Tree introduction
- AVL Trees, Balance factor
- Binary heap, Graphs
- Depth First Search, Breadth First search Applications of graphs
- Hashing
Are you ready to embark on this exciting journey into the heart of computer science? Let's get started!
Pre Requisite: C++
Course Duration:
2 Months
Course Fee :
6000/- PKR per month
Starting Date:
20th August
Registration: