Design and Analysis of Algorithms and Lab

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Design and Analysis of Algorithms and Lab offers an in-depth understanding of algorithmic techniques essential for solving computational problems efficiently. This course dives into core concepts such as divide and conquer, dynamic programming, greedy algorithms, and graph theory while focusing on the theoretical underpinnings of algorithm design and performance analysis. Students will gain insights into time and space complexity, ensuring they can evaluate and optimize solutions for real-world applications. The lab component enhances learning by enabling students to implement, test, and refine algorithms using modern programming tools. Through practical exercises and real-world scenarios, participants will develop a hands-on understanding of problem-solving strategies and algorithmic thinking. This course bridges the gap between theoretical knowledge and practical application, equipping students with the skills needed to tackle challenges in software development, data science, and beyond.