Course Description
You will learn the following in this course: (All implemented using C programming)
14. Calculating efficiency of algorithms, Worst Case (Big Oh), Average Case (Big Theta) and Best case (Big omega) complexities. How to calculate them for different algorithms.
15. Binary Searching
16. Recursion in detail. Example program using recursion and the critical comparison between Recursive approach and Iterative approach of problem solving.
17. Binary Tree, definition, traversal (In, Pre and Post Order), Binary Search Tree implementation.
18. Heap data structure, definition, heap insertion, deletion, heap adjust, Heapify and heap sort.
Who this course is for:
· Students who want to prepare themselve for interview of top companies like Google, Amazon or Microsoft.
· Students who are looking forward to be an efficient programmer, who are having data structures in their syllabus.
· Students who wants to have in dept knowledge about the Stack, Queue and Linked List, Efficiency of Algorithm, Binary Tree, Heap
Student should be conversant with basic C programming.
14. Calculating efficiency of algorithms, Worst Case (Big Oh), Average Case (Big Theta) and Best case (Big omega) complexities. How to calculate them for different algorithms.
15. Binary Searching
16. Recursion in detail. Example program using recursion and the critical comparison between Recursive approach and Iterative approach of problem solving.
17. Binary Tree, definition, traversal (In, Pre and Post Order), Binary Search Tree implementation.
18. Heap data structure, definition, heap insertion, deletion, heap adjust, Heapify and heap sort.
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