Algorithmic Problems in Java (+INTERVIEW QUESTIONS) (Udemy.com)

Backtracking, dynamic programming, Sudoku, knapsack problem, binpacking, closest pair of points, recursion, monte carlo

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Created by: Holczer Balazs

Produced in 2021

What you will learn

Understand backtracking
Understand dynamic programming
Understand recursive approaches
Solve problems from scratch

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Course Description

This course is about the fundamental concepts of algorithmic problems, focusing on backtracking and dynamic programming. As far as I am concerned these techniques are very important nowadays, algorithms can be used (and have several applications) in several fields from software engineering to investment banking or R& D.
Section 1:
what are recursion and recursive methodslinear and binary searchtower of Hanoi problemSection 2:
what are selection algorithmsquickselect algorithmthe secretary problemSection 3:
what is backtrackingn-queens problem and Hamiltonian cycle problemknight's tour problemSudoku gameSection 4:
what is dynamic programmingknapsack problemcoin change problem and rod cutting problemSection 5:
bin packing problemclosest pair of points problemSection 6:
top interview questions (Google, Facebook and Amazon)The first chapter is about backtracking: we will talk about problems such as n-queens problem or hamiltonian cycles,coloring problem andSudoku problem. In the second chapter we will talk about dynamic programming, theory then the concrete examples one by one: fibonacci sequence problem and knapsack problem.
In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together from scratch in Java.
FINALLYYOUCANLEARNABOUTTHEMOSTCOMMONINTERVIEWQUESTIONS (Google, MicroSoft, EPAM etc.)Thanks for joining the course, let's get started!
Who this course is for:
This course is meant for newbies who are not familiar with algorithmic problems in the main or students looking for some refresher

Time: 7.5h

Instructor Details

Holczer Balazs

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Hi!
My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model.
Take a look at my website if you are interested in these topics!