Photo by Christin Hume on Unsplash [cropped]

Note that the time and room for September 22 lecture has been changed to 8-10 in D32

Welcome to the course SF2956 HT 25 Topological Data Analysis!

We are glad to welcome you to SF2956 TDA course. Extracting actionable information from complex data may not be straightforward. Standard tools applied directly to data which is highly dimensional, or when noise is present can result in inaccurate and unreliable conclusions. For more accurate outcomes one strategy is to transform data into signatures that are less sensitive to the noise and irrelevant signals. There is a growing body of evidence from road network reconstructions, neuroscience, vehicle tracking, object recognition, protein structure understanding, suggesting effectiveness of topology based signatures. The aim of this course is to present how to extract topology based signatures and use them in practice.

For inspiration see Inspiration page and some of the projects student wrote in previous years of this course at Grades and projects page.

Remember that you must have registered to maintain access to your courses after the web registration period.

Grades:

The final grade for the course is based on the written report containing summary description of math background learned in the course, the project, methods used, and results. The deadline for turning in projects is 10 November 2025. See Grades and projects page for more information.

Basic Information:

People involved in teaching the course:
- Wojtek: Wojciech Chacholski, wojtek@kth.se
- Pepijn: Pepijn Roos Hoefgeest pepijnrh@kth.se
Course plan (here you find information about the lectures and exercises)
Grades and projects (here you find information on how the course is graded)
Guidelines for the use of generative AI
Notes. These notes contain material for the entire course and will be continuously updated.
Inspiration
Software