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Numerical algorithms for data-intensive science

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Starting June 1, 2025, it will no longer be possible to edit content on the course web, and students will no longer be added. Existing material will remain.

Read more here: The course web's sunset on June 1

Welcome to

Numerics for Data Science

The course provides an introduction to numerical methods in data science. The course will consist of three blocks

  • Algorithms for low-rank data
  • Algorithmic spectral graph clustering
  • Data with Fourier and Toeplitz structure

In this course we use the CANVAS learning environment: When the course opens, you can access it here SF2526 2024 on CANVAS

Old canvas pages:

SF2526 2023 on CANVAS

SF2526 2022 on CANVAS

SF2526 2021 on CANVAS

SF2526 2020 on CANVAS

SF2526 2019 on CANVAS

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