Topological Data Analysis
Spring 2017 Section 0001: 9:30A - 10:45A TTh 113 MLH
Instructor: Dr. Isabel K. Darcy
Department of Mathematics and AMCS
University of Iowa
Office:B1H MLH
Phone: 335- 0778
Email: isabel-darcy AT uiowa.edu
Office hours: Tuesdays/Thursday 8:50 - 9:15am, 12:30- 1:35pm and by appointment.
DEO Contact Information: Dan Anderson, 14 MLH, dan-anderson@uiowa.edu
Course Description:Topology has many applications. It allows one to recognize shapes, but allows for distortions. Hence topology has been used to study the shape of noisy data. At minimum persistent homology can be used to cluster data when it is unclear what threshold should be used for determining connections such as when constructing a brain network. But holes in data can have significant meaning. We will cover a variety of topics related to topological data analysis
Objectives and Goals of the Course: To learn about various aspects of topological data analysis and its applications.
Texts: None
Grading system: Grading will be based on participation (i.e. attendance, but e.g., attending conferences counts as excused absences). Plus/minus grading may be used.Attendance and absences: Your attendance at each scheduled class meeting is expected. You are responsible for material covered in class and announcements made during class; these may include changes in the syllabus.
From Writing Center website: Suggestions and feedback on all kinds of writing, from course papers to creative pieces and multimedia projects.
You an obtain feedback via individual appointments, online submissions or weekly appointments (for weekly appointments, space is limited so sign up NOW if you are interested).
From Speaking Center website:We work with a range of students from many disciplines on such issues as: effective participation in class discussions, crafting and delivering oral presentations, understanding unfamiliar cultural references, interview skills, creative performances, and speech anxiety.