About
This college-level course provides a rigorous dive into the mathematical foundations of computer science. It focuses on the analysis and design of efficient algorithms, covering core paradigms such as Divide and Conquer, Greedy Algorithms, and Dynamic Programming. You will master asymptotic notation (Big O, Omega, Theta), derive recurrence relations using the Master Theorem, and provide formal proofs of correctness for complex graph algorithms. The curriculum concludes with a thorough examination of P, NP, and NP-Completeness, equipping you with the theoretical tools necessary for advanced software engineering and research.
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Group Discussion
This program is connected to a group. You’ll be added once you join the program.