● Different data structures, abstract data types and their applications

● How to implement linear and non-linear data structures

● How to implement stack and queue abstract data types using arrays and linked lists

● How to analyze the efficiency of various algorithms – time and space complexity

● How to implement linear and binary search algorithms and their efficiency analysis

● Different sorting algorithms and their implementations

● Problem solving using iterative, recursive algorithms, their efficiency analysis and understand various algorithm design strategies

• Introduction to data structures & algorithm involving problem solving, algorithm concept, abstract data types, arrays and linked list.
• Introduction to stack and queue data structure, its operations and implementation using arrays and linked lists.
• Analysis of various algorithms, learn how to measure algorithm efficiency, time and space complexity, best, average and worst case analysis.
• Understand various searching techniques, linear and binary search algorithms, their efficiency analysis and implementation.
• Introduction to various sorting algorithms – Bubble sort, insertion sort, merge sort, quick sort and heap sort, its implementation and efficiency analysis.
• Understand various non-linear data structures - Tree. Its real-time applications, implementation, tree traversals and its functionalities. Implementation of Binary Search Tree
• Understand and learn graph data structure. Different types of graph , their implementation and other operations.
• Understand various Algorithm Design Strategies.
• Recursive, Greedy, Dive and Conquer and Dynamic Programming