Master the algorithms.
Chart your path.
A structured 43-week journey through DSA and competitive programming — built for students who are ready to grind. Master algorithms, solve curated problems, and stay consistent.
Graph Traversal (DFS & BFS)
Explore connected components, multi-source breadth-first search, and cycle detection.
Curriculum Breakdown
Everything you need to keep grinding.
Not just a roadmap.
A comprehensive journey.
Most roadmaps give you an endless list of unorganized links. A2SV AlgoPath structures the DSA experience into a cohesive, week-by-week learning system.
Master the Fundamentals & Paradigms
Deep-dive into clean code standards, Big-O complexity analysis, trees, graph theory, dynamic programming, and competitive string algorithms with structured weekly slide lectures.
Solve Curated Real-World Problems
Tackle 180+ handpicked coding challenges from LeetCode, Codeforces, HackerRank, and Eolymp specifically mapped to each weekly concept to build intuition and speed.
Build Unshakable Daily Consistency
Turn learning into a disciplined habit. Follow a 43-week chronological roadmap designed for developers committed to landing top-tier engineering roles.
43 weeks.
One continuous journey.
Every phase is carefully sequenced to build theoretical depth, algorithmic speed, and intuitive pattern recognition.
Foundation
12 Weeks · 39 ProblemsEstablish core programming competencies in Python, best coding practices, clean architecture, complexity analysis (Big-O), the 7-step problem-solving methodology, and essential built-in data structures (Lists, Tuples, Sets, Dictionaries, Classes).
- Python Track
- Clean Code & Style
- Complexity Analysis
- 7-Step Problem Solving
Phase 1 — Core DSA
13 Weeks · 59 ProblemsMaster foundational data structures and fundamental algorithmic paradigms: Arrays, Matrices, Elementary Sorting, Two Pointers, Sliding Window, Prefix Sum, Singly/Doubly Linked Lists, Stacks, Queues, Monotonic Structures, Recursion Fundamentals, and Binary Search.
- Arrays & 2D Matrices
- Two Pointers & Sliding Window
- Prefix Sum Arrays
- Linked Lists I & II
Phase 2 — Advanced DSA
11 Weeks · 54 ProblemsDive deep into non-linear data structures, advanced recursion, and foundational graph algorithms: Binary Trees, Binary Search Trees (BST), Backtracking, Divide & Conquer, Graph Representations, Depth-First Search (DFS), Breadth-First Search (BFS), Heaps/Priority Queues, Greedy Optimization, Topological Sort, and Dynamic Programming (Top-Down & Bottom-Up).
- Binary Trees & BST
- Backtracking & Recursion II
- Graph Representations
- DFS & BFS Traversals
Phase 3 — Competitive Programming
7 Weeks · 39 ProblemsTackle advanced competitive programming paradigms and specialized data structures: Bitwise Operations, Disjoint Set Union (Union-Find), Advanced & Non-Comparison Sorting, Numerics & Number Theory, Trie (Prefix Tree), All-Pairs & Single-Source Shortest Paths (Dijkstra, Bellman-Ford, Floyd-Warshall), and Advanced String Algorithms (KMP, Rabin-Karp, Z-Algorithm).
- Bitwise Operations
- Disjoint Set Union (DSU)
- Advanced & Non-Comparison Sort
- Number Theory & Sieve
Learn it.
Then solve it.
Every theoretical concept has corresponding practice problems from established coding platforms to solidify your implementation skills.
Two Sum
Topic: Hash Maps & Sets
Group Anagrams
Topic: String Hashing
Way Too Long Words
Topic: String Simulation
Reverse Linked List
Topic: Linked Lists I
Number of Islands
Topic: Graph Traversal (DFS)
Connected Components
Topic: Graph Theory
Consistency compounds.
Track every step of your progress.
Mastering algorithmic problem solving isn't about cramming 50 problems in a weekend. It's about solving 2–3 problems every day across 43 disciplined weeks.
Daily Streak Counter
Keep the flame alive by solving at least one problem daily.
Weekly Completion Goals
Clear 100% of weekly curated problem sets and review slide decks.
Phase Milestone Badges
Unlock phase completion certificates as you advance to competitive programming.
Global Scholar Ranking
Standings across 43 curriculum weeks
Don't grind alone.
Study with driven peers.
Studying Data Structures & Algorithms is an intense mental marathon. A2SV AlgoPath brings real-time peer accountability, friendly leaderboard competition, and structured daily routines to keep your momentum alive.
Points derived from curriculum milestones, problem solutions, and active streaks.
Build unbreakable daily problem-solving habits with curated 3-problem daily targets.