Next Steps

Congratulations. You have traveled from foundations to linear structures, recursion, search, sort, hashing, trees, graphs, and algorithmic paradigms.

Well done

You now have the toolkit to read serious algorithmic code, solve interview-style problems, and build systems that depend on efficient data structures. Thank you for learning with this course.

Advanced data structures

Explore segment trees, Fenwick trees (BIT), suffix arrays, sparse tables, treaps, and splay trees.

Advanced graph algorithms

Study Bellman-Ford, Floyd-Warshall, A*, max-flow with Edmonds-Karp and Dinic, Tarjan/Kosaraju SCC, articulation points, bridges, and 2-SAT.

String algorithms

Learn KMP, Z-algorithm, Aho-Corasick, suffix automata, and Manacher's algorithm.

Computational geometry

Try convex hulls with Graham scan and Andrew's monotone chain, sweep line methods, and line intersection.

Randomized and approximation algorithms

Look into randomized quicksort, randomized hashing, Bloom filters, and MCMC.

Parallel and concurrent DSA

Study lock-free queues, persistent data structures, concurrent hash maps, and the memory-model ideas behind them.

Modern C++ worth investing in

Move semantics and rvalue references
Smart pointers: unique_ptr and shared_ptr
C++20 ranges and views
Templates and concepts
Coroutines in C++20

LeetCode, Codeforces, AtCoder, HackerRank, and USACO all give different styles of repetition. Also build toy projects: a JSON parser, a key-value store, or a simple compiler. Each forces you to use DSA in a real design.

Books worth reading

CLRS
Algorithms by Sedgewick
Competitive Programming by Halim
Algorithm Design by Kleinberg-Tardos
The Algorithm Design Manual by Skiena
Effective Modern C++ by Scott Meyers
C++ Primer

A final C++ wave-off

QuestionSelect one

What is a good next step after this course?

Stop practicing algorithms forever.

Pick a roadmap topic and build or solve problems with it.

Only memorize code templates.

Avoid modern C++ features.