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

• Coming

• 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

• 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”