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Advanced Algorithms - Fall 2016

UofU Data Science via YouTube

Overview

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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.

Syllabus

Advanced Algorithms Lecture 1
Advanced Algorithms Lecture 2
Advanced Algorithms Lecture 3
Advanced Algorithms Lecture 4
Advanced Algorithms Lecture 5
Advanced Algorithms Lecture 6
Advanced Algorithms Lecture 7
Advanced Algorithms Lecture 8
Advanced Algorithms Lecture 9
Advanced Algorithms Lecture 10
Advanced Algorithm Lecture 11
Advanced Algorithms Lecture 12
Advanced Algorithms - Lecture 13 (Fall 2016)
Advanced Algorithms - Lecture 14 (Fall 2016)
Advanced Algorithms - Lecture 15 (Fall 2016)
Advanced Algorithms - Lecture 16 (Fall 2016)
Advanced Algorithm lecture 17
Advanced Algorithms lecture 18
Advanced Algorithm Fall 2016 - Lecture 19
Advanced Algorithm Fall 2016 - Lecture 21
Advanced Algorithm Fall2016 - Lecture 22
Advanced Algorithm - Fall 2016 Lecture 26
Advanced Algorithm - Fall 2016 Lecture 27
Advanced Algorithms - Lecture XX (Fall 2016) -111716
Advanced Algorithm lecture 28

Taught by

UofU Data Science

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