Title of the course: Topolojik Data Analiz
Instructor: Dr. Eyüp Yalçınkaya
Institution: University of Rochester / TÜBİTAK
Dates: 2-8 September 2024
Prerequisites: Topology
Level: Undergraduate, graduate
Abstract: This lecture series delves into the foundational concepts and advanced techniques of topological data analysis (TDA). Through an exploration of simplicial complexes, homology theory, and persistent homology, we will uncover how topological methods can be employed to analyze high-dimensional data. The course will cover the essential mathematical framework and provide practical applications, particularly in sensor networks and data inference. By the end of the series, participants will have a solid understanding of TDA and its applications in computational topology.
Language: TR, EN