Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
Coding Interview Prep
·
Module 1
Algorithmic Foundations and Core Patterns
Big-O Analysis of Iterative and Recursive Algorithms
Analyze the time and space complexity of iterative and recursive algorithms using Big-O notation.
2
Understanding Common Complexity Classes
Compare and rank common complexity classes (e.g., O(1), O(log n), O(n), O(n log n), O(n²)).
3
Structured Problem-Solving: The CP IV Method
Apply a structured problem-solving framework: clarify, plan, implement, and verify.
Common Problem-Solving Patterns
Describe common problem-solving patterns (two pointers, sliding window) and their applications.
5
Two-Pointer Technique for Sorted Arrays
Solve problems using the two-pointer technique on sorted arrays.
6
Sliding Window Technique for Subarray and Substring Problems
Solve subarray and substring problems using the sliding window technique.
7
Prefix Sum for Range Queries
Apply the prefix sum technique to solve range query problems efficiently.
Previous module
Next module
Hashing, Arrays, and Strings