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Top Data Analysis

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Top Data Analysis

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Academic year 2019/2020

Teachers
Ulderico Fugacci
Francesco Vaccarino
Type
Basic
Credits/Recognition
4
Course disciplinary sector (SSD)
MAT/03 - geometria
Delivery
Formal authority
Language
English
Attendance
Obligatory
Type of examination
Oral
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Sommario del corso

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Course objectives

Introducing at TDA with a strong focus on persistent homology.

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Results of learning outcomes

Finding persistent topological holes, voids and emptinesses.

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Program

The aim of this course is to introduce graduate student to Topological Data Analysis (TDA), which is a novel framework of techniques, mainly devoted to producing summaries of complex data sets. Based on algebraic topology, TDA has several applications and presents many open research problems. The course will start with a crash introduction to homology, followed by a thorough insight on persistent homology. Applications to real data and computational issues as well as an account of the existing software will be presented as well.

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  • Open
    Enrollment opening date
    13/02/2020 at 00:00
    Enrollment closing date
    31/12/2022 at 23:55
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    Last update: 06/04/2020 16:07
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