In Depth Algorithm Course
Last updated 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.32 GB | Duration: 1h 52m
Last updated 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.32 GB | Duration: 1h 52m
Learn all the Algorithm concepts in depth and in detail
What you'll learn
Learn all the concepts of algorithms thoroughly
Apply algorithmic concepts to problems
Improve programming practices
Develop amazing problem solving skills
Requirements
Basic syntax knowledge in C programming would be a plus
Even those with no knowkedge in programming can follow the course easily
Description
Algorithms are ubiquitous in Computer Science and Software Engineering. Selection of appropriate algorithms and data structures improves our program efficiency in cost and time.What is an algorithm? Informally, an algorithm is a procedure to accomplish a specific task.Specifically, an algorithm is a well defined computational procedure, which takes some value (or set of values) as input and produces some value, or a set of values, as output. An algorithm is thus a sequence of computational steps that transform the input into the output.In this course, you will learn about all the concepts of Algorithms in detail and will be able to implement them.You will have an edge in problem solving and programming practices and will able to solve any problem in an efficient and thorough way.You will learn concepts like time complexity and space complexity to assess the efficiency of any program which you have implemented.Being thorough with Algorithms is an essential step for any programmer or software developer who aspires to grow in the field of Software Development. You will also be able to crack software interviews easily if you are thorough with your algorithmic concepts.This course helps you to achieve your goal by teaching you to grasp the concepts of algorithms thoroughly and efficiently.
Overview
Section 1: Algorithms
Lecture 1 Introduction to Algorithms
Lecture 2 Priori Analysis
Lecture 3 Characteristics of Algorithms
Lecture 4 Analysis of Algorithms
Lecture 5 Frequency Count Method
Lecture 6 Time Complexity part 1
Lecture 7 Time Complexity part 2
Lecture 8 Time Complexity part 3
Lecture 9 Classes of Functions
Lecture 10 Compare class of functions
Lecture 11 Asymptotic Notations part 1
Those who are beginning to learn algorithms,Those who want to strengthen their concepts of algorithms