WASP, Topological Data Analysis, 6 credits HT23

How to give a machine a sense of geometry? There are two aspects of what a sense is: a technical tool and an ability to learn to use it. This learning ability is essential. For example we are born with the technical ability to detect smells and throughout our lives we use and develop this sense, depending on needs and the environment around us. In this course the technical tool we introduce to describe geometry is based on homology. The main aim of the course is to explain how versatile this tool is and how to use this versatility to give a machine the ability to learn to sense geometry. 

Current Information:  The stacks rank software was updates.   See you all at 11:00 on November 20th   in room D36. See the course plan for the schedule of the course.

• People involved in teaching the course: 
  • Wojtek: Wojciech Chacholski, wojtek@kth.se
  • Florian Pokorny, fpokorny@kth.se
  • Martina Scolamiero, scola@kth.se
• Course plan (here you find information about the lectures and exercises, this is the page you will visit the most)
• Grades and final projects (here you find information on how the course is graded).
• Between meetings 1 and 2 project suggestions
• Notes Download Notes. These notes contain material for the entire course and will be continuously updated.
• Inspiration
• Software, the stable rank software has been updated