Advanced Algorithms - Fall 2016

Explore sophisticated algorithmic techniques and computational problem-solving methods through this comprehensive lecture series from the University of Utah's Data Science program. Master advanced topics in algorithm design and analysis including dynamic programming, graph algorithms, network flows, linear programming, approximation algorithms, and randomized algorithms. Delve into complex data structures, optimization techniques, and computational complexity theory while examining real-world applications in computer science and data science. Learn to analyze algorithm efficiency, prove correctness, and select appropriate algorithmic approaches for challenging computational problems. Gain expertise in advanced mathematical foundations underlying modern algorithmic design, including probability theory, linear algebra, and discrete mathematics as they apply to algorithm development. Study cutting-edge research topics and recent developments in algorithmic theory while developing skills to tackle NP-hard problems and design efficient solutions for large-scale computational challenges.