Algorithm Teacher Essentials
Curated resources for mastering algorithms: From foundational textbooks to interactive visualizations and competitive programming platforms.
Algorithm Fundamentals
Think like a programmer
CORE CONCEPTS
What is an Algorithm?
An algorithm is a step-by-step procedure for solving a problem. Understanding algorithm analysis, complexity, and design paradigms is the foundation of computer science.
- Time & Space Complexity - Big O, Big Θ, Big Ω
- Recursion - Divide and conquer approach
- Brute Force vs Optimal - Tradeoffs and improvements
Sorting in action
ESSENTIAL
Sorting & Searching
Classic algorithms every developer must know: from bubble sort to quicksort, linear to binary search.
- Comparison Sorts - Bubble, Insertion, Merge, Quick, Heap
- Non-Comparison - Counting, Radix, Bucket
- Searching - Linear, Binary, Interpolation
Data Structures
Arrays & Strings
Fundamental linear data structures. Master array manipulation, sliding window, two-pointer techniques.
Linked Lists
Singly, doubly, circular. Understand pointer manipulation and classic problems.
Stacks & Queues
LIFO and FIFO structures. Essential for parsing, BFS/DFS, and expression evaluation.
Hash Tables
Dictionaries, maps, sets. Understand hashing, collisions, and real-world applications.
Heaps & Priority Queues
Binary heaps, heap sort, priority queues. Essential for scheduling and graph algorithms.
Advanced Algorithms
Graph Algorithms
BFS, DFS, Dijkstra, Bellman-Ford, Floyd-Warshall, A*, topological sort.
Dynamic Programming
Memoization, tabulation, classic problems: knapsack, LCS, edit distance, matrix chain.
Greedy Algorithms
Huffman coding, activity selection, fractional knapsack, minimum spanning trees.
System Design
Algorithms at scale: caching, load balancing, consistent hashing, distributed systems.
CLRS Textbook
"Introduction to Algorithms" by Cormen, Leiserson, Rivest, Stein. The definitive algorithm reference.
Learn more →LeetCode
Practice algorithms with 3000+ problems. Essential for interview preparation.
Start coding →
Rizwan's Algorithm Path: "Start with CLRS chapters 1-6 for
fundamentals, practice daily on LeetCode (easy → medium), use VisuAlgo for visualization, and explore
competitive programming on Codeforces for advanced mastery."
200+
Algorithms
50+
Visualizations
1000+
Practice Problems
10+
Textbooks
30+
Video Courses
MIT
OpenCourseWare
Official Algorithm Resources
MIT Algorithms
Wikipedia
GeeksforGeeks
Khan Academy
CP Algorithms
Algorithm Visualizers
Practice Platforms
Student Success
★★★★★
"Rizwan's algorithm course helped me crack Google interviews. The structured approach and resource recommendations were invaluable."
Software Engineer @ Google
★★★★★
"From zero to ICPC regional finalist. The algorithm visualization resources and practice strategies made all the difference."
Competitive Programmer
★★★★★
"Best algorithm learning hub I've found. Everything from basics to advanced, all in one place with working links."
CS Student
Curated with ❤️ for my students by Rizwan Ali · Master Algorithms from
Scratch to Advanced