Design and Analysis of Algorithms (2025)

Theoretical Approach to Learning Algorithms
What you'll learn
This is an advanced course for students interested in learning about University level Algorithms.
Students will learn about most of the basics topics featured in most standarized textbooks of this genre.
Topic such as NP-Completeness , Bruteforce , Divide-N-Conquer and a Greedy Strategy will be addressed in the following course.
Students should be able to develop problem descriptions for the example situations addressed in the video.
Requirements
Advanced mathematical courses may be required to comprehend some of the materials covered in this course.
Students should be able to solve basic equations and topics covered from at least 101 math courses.
Students should have writing materials to keep track of their progress and to follow along with the videos.
Student should have access to a Computer and perhaps a dry erase white board to draw figures when necessary.
Description
If you are having trouble remembering with those pesky sorting Algorithms or remembering how to invert a binary tree. In this University level course students will learn about Algorithms and the corresponding practices associated with this skill. In the course Design and Analysis of Algorithms an individual will be informed about the different classifications of problem instances. Also about various open unsolved problems in the field of Computer Science. The course will include topics related to the theory and practice of Algorithm such as Brute Force , Divide-N-Conquer, Decrease-N-Conquer ,Approximation Algorithms ,NP Completeness and more. The class will also dive into the steps in proof writing and some mathematical notation and areas usually not covered in a traditional course. The class will be a combination of live written descriptions of Algorithms as well and definitions and solutions to related problems. There also will be documents and problems for students to try to solve on their own to test their ability and retention. The course is broken into several sections each with detailed descriptions and subsections related to each independent task. If you have free time I encourage you to find a lab partner or friend to help you solve some of the more difficult tasks in the problem section. If you are still struggling find a University professor to help you surmount this obstacle. If you are ready to be challenged please consider viewing this course on Algorithms and Good Luck.
Who this course is for
People interested in learn about the Theory of Algorithms. This class covers many major topics and may be suited for an individual who entends on talking a University level class on Algorithms.
For a Computer Scientist the Design and Analysis of Algorithms and Data Structures courses are one of the most essential required courses for these students at a University.
If you are interested in developing or solving problems this course will give students some pointers on which types of problems are Intractable.
Homepage
https://www.udemy.com/course/design-and-analysis-of-algorithms-u/

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