Learn Design & Analysis
of Algorithms
Master the art of designing efficient algorithms. Learn sorting, searching, graph algorithms, dynamic programming, and complexity analysis to solve real-world computational problems.
Design and Analysis of Algorithms (DAA) is a core computer science subject that focuses on creating efficient solutions to computational problems. It covers algorithm design paradigms like divide and conquer, dynamic programming, greedy algorithms, and graph algorithms, along with complexity analysis using Big-O notation to evaluate performance.
Prerequisites
Basic programming knowledge and familiarity with data structures like arrays and linked lists.
Audience
CS students, competitive programmers, and developers preparing for technical interviews.
What You'll Learn
Sorting, searching, graph traversal, dynamic programming, greedy algorithms, and NP-completeness.
Tools Needed
Any programming language (Java, Python, C++), pen and paper for algorithm design, and an IDE.