Algorithmic Problems in Python (Udemy.com)

Learn recursion, backtracking (n-queens problem etc.) and dynamic programming (knapsack problem etc.)

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Created by: Holczer Balazs

Produced in 2021

What you will learn

Understand backtracking
Understand dynamic programming
Understanding recursion
Solve algorithmic problems from scratch

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Course Description

This course is about the fundamental concepts of algorithmic problems, focusing on recursion, 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 is recursionstack memory and recursionfactorial numbers problemFibonacci numberstowers of Hanoi problemrecursion vs iterationSection 2:
what is backtrackingn-queens problemHamiltonian cycle problemknight's tour problemcoloring problemNP-complete problemsSection 3:
what is dynamic programmingFibonacci numbersknapsack problemcoin change problemrod cutting problemIn each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems one by one.
The first chapter is about recursion. Why is it crucial to know about recursion as a computer scientist? Why stack memory is crucial in recursion? We will consider several recursion related problems such as factorial problem or Fibonacci numbers. The second chapter is about backtracking: we will talk about problems such as n-queens problem or hamiltonian cycles and coloring problem. In the last chapter we will talk about dynamic programming, theory first then the concrete examples one by one: Fibonacci sequence problem and knapsack problem.
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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: 4h

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!