Algorithms Analysis and Design from Scratch
Master Efficiency, Complexity, and Advanced Problem Solving
What You’ll Learn
Algorithm Complexity & Big O
Master Big O notation, analyze calculus functions.
Mathematical Modeling
Translate mathematical concepts like standard deviation into efficient code.
Divide & Conquer
Leverage recursion to build high-performance algorithms like Merge Sort and Binary Search.
Greedy Algorithms
Solve optimization challenges using Activity Selection, Huffman Coding, and Fractional Knapsack techniques.
Dynamic Programming (DP)
Tackle complex overlapping subproblems efficiently with models like Stagecoach, LCS, and 0/1 Knapsack.
Graph Theory & Traversal
Implement essential graph data structures and master Breadth-First (BFS) and Depth-First (DFS) searches.
Shortest Path & MST
Find optimal routes and network connections using Dijkstra’s Algorithm and Prim’s Minimum Spanning Tree.
From Theory to Clean Code
Bridge the gap between abstract algorithmic design and practical, working implementation.
Prerequisites
In order to start this course you must have these skills:
Programming Fundamentals
Proficiency in one Programming language.
OOP
Object Oriented Programming Basics.
Basic Mathematics
Algebra.
Recommended Courses:
Course Previews
Watch free sample lessons from the course:
Huffman Coding
Algorithms Course Introduction
Your Instructor
Ahmed Metwally
Software Industry Expert
24+ Years of Experience
I am on a mission to elevate the efficiency of the software industry in the Arab world by developing highly skilled and knowledgeable software engineers.
My courses are carefully designed to equip them with the essential expertise needed to excel in the market.