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Udemy

Mastering critical SKILLS in Algorithms using C++: Part 2

via Udemy

Overview

70 Challenges to master recursive based techniques, shortest-path and MST algorithms.

What you'll learn:
  • Master recursive techniques by solving MANY problems
  • Expose yourself to many algorithmic techniques
  • After the course, a smooth experience to prepare for coding interviews
  • Short and well written codes

Almost all other courses focus on knowledge. In this course, we focus on gaining real skills.

Overall:

  • The course covers a good subset of algorthmic topics

  • Learn the inner details of the algorithms and their time & memory complexity analysis

  • Learn how to code line-by-line

  • Source code and Slides and provided for all content

  • An extensive amount of practice to master the taught algorithms (where most other content fails!)


Content:

  • Dynamic Programming:Intro

  • DP: Pick or Leave Pattern

  • DP: Enumerating the choices

  • DPRange Patterns

  • DPon Graph and Grids

  • DPCounting

  • DP:Printing Solution

  • DPTabulation

  • DPSolving Marathon

  • Backtracking

  • Divide and Conquer

  • Shortest Path Algorithm:Floyd-Warshal

  • Shortest Path Algorithm:Bellman-Ford

  • Shortest Path Algorithm:Dijkstra

  • Minimum Spanning Tree:Prim

  • Minimum Spanning Tree:Kruskal



Teaching Style:

  • Instead of long theory then coding style, we follow a unique style

  • I parallelize the concepts with the codes as much as possible

    • Unless better for you to work on pseudocode first

  • Go Concrete as possible

  • Use Clear Simple Visualization

  • Engagement


By the end of the journey

  • Solid understanding of Algorithms topics in C++

  • Mastering different skills

    • Analytical and Problem-Solving skills

    • Clean coding for algorithms

  • With the administered problem-solving skills

    • You can start competitive programming smoothly

    • A strong step toward interviews preparation


Prerequisites

  • Programming Skills:

    • Strong Programming skills

      • Solving a lot of basic problem-solving problems on fundamentals

    • Good understanding for basic recursion (E.g. Fibonacci)

    • STL, especially Vectors, map/set, unordered map/set

  • Highly Preferred:

    • Do programming projects

    • Finish a descent data structure course (extensive data structure practice)

Don't miss such a unique learning experience!


Acknowledgement: “I’d like to extend my gratitude towards Robert Bogan for his help with proofreading the slides for this course”

Syllabus

algorithms-and-data-structures

Taught by

CSkilled Academy and Dr. Moustafa Saad

Reviews

4.8 rating at Udemy based on 281 ratings

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