Comprehensive Algorithms

Comprehensive Algorithms, available at $49.99, has an average rating of 4.3, with 29 lectures, based on 67 reviews, and has 2903 subscribers.

You will learn about By the end of this course you will have a thorough understanding of some of the most popular algorithms and data structures This course is ideal for individuals who are Computer science students or Programmers or Mathematicians It is particularly useful for Computer science students or Programmers or Mathematicians.

Enroll now: Comprehensive Algorithms

Summary

Title: Comprehensive Algorithms

Price: $49.99

Average Rating: 4.3

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

By the end of this course you will have a thorough understanding of some of the most popular algorithms and data structures

Who Should Attend

Computer science students

Programmers

Mathematicians

Target Audiences

Computer science students

Programmers

Mathematicians

Course update April 2021: Added Python code implementations for the Stack data structure, including a practical example that shows how to reverse a string.

This course provides a comprehensive overview of the concepts of algorithm analysis and development. I attempted to make the course as straightforward as possible, to the point where no previous experience in algorithm analysis or formal computer science education is required.

In the lessons, I review popular algorithms such as:

Binary search trees

Tree traversal and management

Merge sort

Counting sort

Insertion sort

Radix sort

Huffman coding

And much more

Additionally, you’ll learn about the data structures that are utilized to implement these algorithms, such as queues and stacks. I also review a number of graph algorithms and give introductions to additional advanced algorithm analysis concepts.

And based on course feedback, I’m now adding full Python based code implementations of the algorithms, so you can build and run the programs!

I developed this course while I was taking a graduate level Analysis of Algorithms and Data Structures course from Texas Tech University, and these are all the main topics that we discussed. So whether you are a university student looking to pass your algorithm and data structure class, or you are a developer looking to improve your computer science skills, this is the course for you.

Course Curriculum

Chapter 1: Introduction to Algorithms

Lecture 1: Course Overview

Lecture 2: Growth of Functions

Chapter 2: Sorting Algorithms

Lecture 1: Insertion Sort

Lecture 2: Counting Sort

Lecture 3: Radix Sort

Lecture 4: Merge Sort

Chapter 3: Abstract Data Structures

Lecture 1: Stacks

Lecture 2: Code Implementation of the Stack Data Structure in Python

Lecture 3: Practical Stack Data Structure Example: Reversing a String in Python

Lecture 4: Queues

Chapter 4: Binary Search Trees

Lecture 1: Binary Search Tree Introduction

Lecture 2: Searching Through a Binary Search Tree

Lecture 3: How to Construct a Binary Search Tree

Lecture 4: How to Delete a Node from a Binary Search Tree

Lecture 5: Preorder Binary Tree Traversal

Lecture 6: Postorder Binary Tree Traversal

Chapter 5: Red Black Trees

Lecture 1: Properties of Red Black Trees

Lecture 2: Red Black Tree Traversal

Lecture 3: How to Rotate a Red Black Tree Data Structure

Lecture 4: How to Delete a Node from a Red Black Tree

Chapter 6: Graph Algorithms

Lecture 1: Hamiltonian vs Euler Paths

Lecture 2: Prims Algorithm

Lecture 3: Breadth First Search

Lecture 4: Depth First Search

Chapter 7: Advanced Algorithms

Lecture 1: Huffman Codes

Lecture 2: Introduction to Greedy Algorithms

Lecture 3: Greedy Algorithm for Shortest Path Problem

Lecture 4: How to Develop a Good Hash Function

Chapter 8: Supplementary Content

Lecture 1: How to Implement a Factorial in the Ruby Programming Language

Instructors

Jordan Hudgens
CTO at Bottega Code School

Rating Distribution

1 stars: 3 votes

2 stars: 2 votes

3 stars: 16 votes

4 stars: 16 votes

5 stars: 30 votes

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