Algorithmic Toolbox
Skills:
Algorithm Basics90%
Key Takeaways
Covers basic algorithmic techniques such as sorting, searching, divide and conquer, greedy algorithms, and dynamic programming
Original Description
This online course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Algorithm Basics
View skill →Related Reads
📰
📰
📰
📰
Morris Pre Order Traversal
Dev.to · Jaspreet singh
Advanced Stack ApplicationsData Structures and Algorithms Deep‑Dive — Advanced Stack Applications…
Medium · Programming
The Minecraft anvil is a tree-cost optimization problem in disguise
Dev.to · Mark
KMP Algorithm (Knuth-Morris-Pratt): The Smart Way to Perform String Matching in O(N)
Dev.to · Jaspreet singh
🎓
Tutor Explanation
DeepCamp AI