Design and Analysis of Advanced Algorithms

This course covers advanced techniques for designing and analyzing efficient algorithms for complex computational problems. Students will learn to apply sophisticated algorithmic paradigms to solve problems in various domains including graph theory, optimization, and computational geometry.

Learning Outcomes:

• Analyze asymptotic complexity of advanced algorithms
• Design algorithms using advanced techniques like amortized analysis and randomization
• Apply approximation algorithms for NP-hard problems
• Implement parallel and distributed algorithms
• Evaluate algorithm performance in practical scenarios