Algorithms in Java :Live problem solving & Design Techniques

Recursion,BackTracking,Divide & Conquer,Dynamic Programming,Greedy Algorithms via Data Structures and Algorithms in Java

Ratings 3.82 / 5.00
Algorithms in Java :Live problem solving & Design Techniques

What You Will Learn!

  • Algorithm Design in Computer Systems
  • Algorithm Design Techniques
  • How to Code a Algo in Java
  • Calculate time and space complexity
  • Dynamic Programming, Greedy, D&C and Much more

Description

Algorithm Design Techniques: Live problem-solving in Java

Algorithms are everywhere. One great algorithm applied sensibly can result in a System like GOOGLE!

Completer scientists have worked from 100s of years and derived some of the techniques that can be applied to write and design algorithms.

So Why to reinvent the wheel ??

Let’s go through some of the most famous algorithm design techniques in this course.

Once you will come to know these design techniques It will become very easy for you to approach a problem by identifying which technique to apply to solve that correctly and efficiently.


0. Complexity analysis

1. Recursion is the base of any algorithm design

2. Backtracking

3. Divide and Conquer

4. Greedy algorithms

5. Dynamic programming

And WE WILL WRITE THE CODE LINE BY LINE IN JAVA !!

By the end of this course -

    1. You will understand how to design algorithms

    2. A lot of coding practice and design live problems in Java

    3. Algorithm Complexity analysis

AND

If you are preparing for your coding Interview or doing competitive programming This course will be a big help for you.

THRILLED? I welcome you to the course and I am sure this will be fun!!

If it does not - It comes with a 30 Days money-back guarantee so don’t think twice to give it a shot.

Happy Learning

Basics>Strong;

Who Should Attend!

  • Looking to learn to design algorithms
  • Want to develop how to think solve algo problems
  • Code Famous Algorithms in Java

TAKE THIS COURSE

Tags

  • Java Algorithms
  • Java
  • Algorithms

Subscribers

2070

Lectures

167

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