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DSA & CS Foundations

DSA & Software Engineering Foundations

Think like a computer scientist: crack any interview

150h total10 courses4 stages
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What you'll be able to do

  • Reason about time and space complexity (Big-O)
  • Implement core data structures from scratch
  • Apply common algorithmic patterns to problems
  • Solve interview-style coding challenges with confidence

Before you start

  • Ability to write basic programs in one language
  • Comfort with functions and loops
  • Patience for problem solving

Phase 1 · CS Core & Complexity

CS50x: Introduction to Computer Science

beginner30h

C, memory, algorithms, SQL, web: Harvard's legendary introduction to CS.

  • Problem Set 1: C (Mario, Cash)
  • Problem Set 3: Algorithms (Sort, Plurality)
  • Problem Set 7: SQL queries
  • Final Project submitted

Big-O & Complexity Analysis

beginner10h

Time and space complexity, Big-O/Ω/Θ notation, and recognising bottlenecks in code.

  • Classify 10 algorithms by complexity
  • Explain time/space tradeoff in a hash map

NAND to Tetris: How Computers Work

beginner24h

Build a complete computer from logic gates: the ultimate CS foundations course.

  • Logic gates in HDL
  • ALU implementation
  • VM translator in Python

Phase 2 · Data Structures

Arrays, Strings & Hash Maps

intermediate16h

Two pointers, sliding window, prefix sums, and hash map lookup patterns.

  • Two-sum variants solved
  • Sliding window: longest substring
  • Prefix sum array

Linked Lists, Stacks & Queues

intermediate12h

Implement from scratch: singly/doubly linked lists, stack, queue, and monotonic stack.

  • Reverse a linked list (iterative + recursive)
  • Detect a cycle (Floyd's algorithm)
  • Implement a stack with two queues

Trees, Graphs & Tries

intermediate20h

BFS, DFS, binary search trees, heap, topological sort, and union-find.

  • BFS & DFS iterative implementations
  • Lowest common ancestor of a BST
  • Topological sort (Kahn's algorithm)
  • Trie: insert & search

Phase 3 · Algorithms

Sorting, Searching & Divide & Conquer

intermediate12h

Merge sort, quick sort, binary search and its variants, and recursion patterns.

  • Implement merge sort from memory
  • Binary search on a rotated array
  • Quick select (Kth largest element)

Dynamic Programming

advanced20h

Memoisation, tabulation, 1D/2D DP, knapsack, LCS, and interval DP.

  • Climb stairs: bottom-up DP
  • 0/1 Knapsack
  • Longest common subsequence
  • Edit distance

Phase 4 · System Design & Interview Prep

System Design for Interviews

advanced18h

Load balancers, caching (CDN, Redis), databases, message queues, and estimation.

  • Design a URL shortener
  • Design Twitter's home timeline
  • Design a distributed rate limiter

Mock Interviews & Behavioural Prep

advanced16h

STAR method, company research, offer negotiation, and live mock coding interviews.

  • 5 live mock coding sessions completed
  • STAR answers for 8 behavioural questions
  • Research and apply to 10 target companies

Frequently asked

Is the DSA & Software Engineering Foundations roadmap free?+

Yes. The entire DSA & Software Engineering Foundations roadmap and every curated resource is free to follow on Commit. You can track your progress, keep a daily streak, and earn a shareable certificate at no cost — there is no paywall.

How long does the DSA & Software Engineering Foundations roadmap take to complete?+

About 150 hours of focused study across 10 courses and 4 stages. At roughly one hour a day that is about 5 months; you can move faster by studying more each day.

Do I get a certificate for finishing the DSA & Software Engineering Foundations roadmap?+

Yes. When you complete the roadmap on Commit you receive a verifiable certificate of completion that you can add to LinkedIn and your public Commit profile as proof of what you finished.

Make it stick

Copy this roadmap into Commit and turn it into a tracked program with a streak graph, study logging, and a shareable certificate when you finish. Free forever.

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