Topological Data Analysis II
AMAT-584-1724
University at Albany
- Semester
- Summer 2024
- Instructor
- Boris Goldfarb
- Start Date
- 06-17-2024
- Total Credits
- 3
- Call to Register
- 518-442-5140
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
An Introduction to the two main areas of Topological Data Analysis, the persistent homology and the Mapper algorithm. This is the second of a two semester sequence in Topological Data Analysis. In this course, the students will learn to apply homology computations to filtered metric spaces producing the main topological signature of a data set called persistent homology. In the second half of the course, the Mapper will be used as an illustration of topology based dimension reduction techniques which produce a one-dimensional summary, a graph, of the multi-dimensional data set. Case studies with real world applications are included to illustrate the theory. Prerequisites: AMAT 583 or permission of instructor.
Course Area: Mathematics
Level: Graduate
Dates: 06-17-2024 - 07-12-2024
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- Instructor: Boris Goldfarb
- Local Course ID: 24SU_ALB_AMAT584_0001
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