Design and Analysis of an Algorithm
In a smart way
Lectures -27
Duration -4.5 hours
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Course Description
This course DESIGN AND ANALYSIS OF ALGORITHMS is very useful to design a programming code in a smart and easy way...
And this is not a tough course, of course, a little bit of hard work and interest in the course will make an expert in this course... All you need is just to join your hands with me....I won't break your trust... I will give my best to give you the best content... I will take many references for giving the best content to you.....this course is a very interesting one that deals with every topic in the entire computer science and that may help you give a perfect grip the entire computer science... this entire course outcome is
To analyze the performance of algorithms. 2 To choose the appropriate data structure and algorithm design method for a specified application. 3 To understand how the choice of data structures and algorithm design methods impacts the performance of programs. 4 To solve problems using algorithm design methods such as the greedy method, divide and conquer, dynamic programming, backtracking, and branch and bound. 5 To understand the differences between tractable and intractable problems.
Ability to analyze the performance of algorithms.
Ability to choose appropriate algorithm design techniques for solving problems
Ability to understand how the choice of data structures and the algorithm design methods impact the performance of the program
Goals
What will you learn in this course:
- By the ending of the Course Students will able to design a perfect CODING and ALGORITHAM in a smart way
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction & Basics Of Algorithm
7 Lectures
- Introduction 01:37 01:37
- Index and Algorithm 04:19 04:19
- Properties of Algorithm 05:33 05:33
- Pseudo Code 08:57 08:57
- Time and Space Complexity 09:58 09:58
- Asymptotic Notations 10:07 10:07
- Randomized Algorithm 10:09 10:09
Divide And Conqure Concept And Applications
5 Lectures
Sets And Their Related Concepts
3 Lectures
Concept And Applications Of Greedy Method Approach
11 Lectures
Instructor Details
MONESH VENKUL VOMMI
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