Learn Algorithms the fun way
Master the logic and techniques behind problem-solving in computing.
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Why learners trust StudyGenius for Algorithms
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Learn core algorithms such as sorting, searching, and graph traversal.
Understand algorithm complexity and Big-O performance analysis.
Explore dynamic programming and optimisation strategies.
Course Overview
Course Overview: Algorithms
Algorithms form the backbone of computer science, providing step-by-step procedures for solving computational problems efficiently. This course introduces fundamental algorithmic techniques, including sorting, searching, graph algorithms, dynamic programming, and greedy strategies. Students will analyse algorithm complexity using Big-O notation and learn how to design solutions that optimise performance. With applications across software development, data science, and artificial intelligence, algorithms are essential for building scalable and effective systems.
Learn core algorithms such as sorting, searching, and graph traversal.
Understand algorithm complexity and Big-O performance analysis.
Explore dynamic programming and optimisation strategies.
Gain skills in designing efficient and scalable problem-solving methods.
Build a foundation for advanced study in AI, data science, and systems design.
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Learn Computer Science Courses with fast, gamified quizzes you can play solo or against others—perfect for building knowledge and recall, not replacing deep practice.
Quick rounds
60–90 second matches that fit your schedule.
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Learn core algorithms such as sorting, searching, and graph traversal.
Understand algorithm complexity and Big-O performance analysis.
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Free course. No credit card required.
Learn Algorithms