Coderust: Hacking the Coding Interview Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

A gold-standard interview prep course packed with practical coding problems and real-world techniques for top-tier software engineering interviews. This 7-week, hands-on curriculum is structured to build core algorithmic thinking and problem-solving skills through interactive coding challenges. With approximately 50 hours of content, learners will progress from foundational concepts to advanced patterns used in FAANG-level interviews, mastering data structures, algorithms, and timed problem-solving strategies.

Module 1: Coding Interview Basics & Setup

Estimated time: 7 hours

  • Understanding common interview formats and expectations
  • Time and space complexity analysis (Big O notation)
  • Test case thinking and edge case identification
  • Setting up the coding environment and solving warm-up problems

Module 2: Arrays & Strings

Estimated time: 7 hours

  • Two pointers technique
  • Sliding window pattern
  • String manipulation and parsing
  • Common problems: Longest Substring, Array Rotation, Duplicate Detection

Module 3: Linked Lists & Stacks

Estimated time: 7 hours

  • Singly and doubly linked list operations
  • Stack implementation and use cases
  • Reversing linked lists and detecting cycles
  • Balanced brackets using stack logic

Module 4: Trees & Graphs

Estimated time: 7 hours

  • Binary trees and binary search trees (BST)
  • Tree traversals (inorder, preorder, postorder)
  • Breadth-First Search (BFS) and Depth-First Search (DFS)
  • Lowest Common Ancestor and graph cycle detection

Module 5: Recursion & Backtracking

Estimated time: 7 hours

  • Recursive function design and base case planning
  • Backtracking patterns for combinatorial problems
  • Generate Parentheses problem
  • Permutations and N-Queens problems

Module 6: Dynamic Programming & Greedy

Estimated time: 7 hours

  • Memoization vs. tabulation
  • Classic DP problems: Knapsack, Coin Change
  • Longest Common Subsequence
  • Greedy algorithm strategies and when to apply them

Module 7: Mock Interviews & Timed Challenges

Estimated time: 8 hours

  • Simulated coding interviews under time constraints
  • Whiteboard-style problem solving
  • Behavioral interview preparation
  • Performance feedback and improvement strategies

Prerequisites

  • Familiarity with basic programming concepts in any language
  • Understanding of basic control structures (loops, conditionals)
  • Basic knowledge of functions and recursion (helpful but not required)

What You'll Be Able to Do After

  • Solve common coding interview problems efficiently
  • Analyze time and space complexity of algorithms
  • Apply pattern-based strategies to unfamiliar problems
  • Implement core data structures and algorithms from scratch
  • Perform confidently in technical interviews at top tech companies
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