Mathematics

Topological Data Analysis(MAT408)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT408 Topological Data Analysis 7 3 0 0 3 5
Prerequisites
Admission Requirements
Language of Instruction
Course Type Elective
Course Level Bachelor Degree
Course Instructor(s) Serap GÜRER serapgurer@gmail.com (Email)
Assistant
Objective The aim of the course is to explore the fundamental concepts, techniques, and results in Topological Data Analysis.
Content Simplicial complexes, Homology
Persistent Homology
Complexes on point clouds
Reeb Graphs
Mapper Algorithm
Course Learning Outcomes
Teaching and Learning Methods
References -Herbert Edelsbrunner, John L. Harer, Computational Topology An Introduction,
-Topology For Computing, Afra Zomorodian
Print the course contents
Theory Topics
Week Weekly Contents
1 Simplicial complexes
2 Complexes from Point Cloud Data
3 Complexes from Point Cloud Data
4 Simplicial Homology
5 Chains, Cycles, Boundaries, and Homology Groups
6 Matrix View and Algorithm for Calculation
7 Computing Simplicial Homology of Topological Spaces
8 Exam
9 Persistent homology
10 Filtrations
11 Matrix View and Reduction-Based Algorithm
12 Computing Persistent Homology
13 Analysis of Point Cloud Data
14 Analysis of Point Cloud Data
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 2 60
Contribution of final exam to overall grade 1 40
Toplam 3 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 1 10
Midterm Examinations (including preparation) 1 30
Project 1 20
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Make-up 0 0
Toplam 3 60
No Program Learning Outcomes Contribution
1 2 3 4 5
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 7 2 14
Assignments 1 10 10
Presentation 1 2 2
Midterm Examinations (including preparation) 1 30 30
Project 1 20 20
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 0 0 0
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Make-up 0 0 0
Total Workload 118
Total Workload / 25 4.72
Credits ECTS 5
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