Ordered Sets in Data Analysis

This repo supplements Ordered Sets in Data Analysis course taught at HSE for "Data Science" master programme at autumn 2022.

The link the course page on HSE Website. And the last year's page.

Structure of the course

NB: More information to come

Students of the course are to submit one of the tree Big home assignments:

1. Survey on papers in the course relevant field
   More info in the telegram channel of the course
2. Lazy FCA
   See the respective directory lazy_fca
3. Neural FCA
   See the respective directory neural_fca

Evaluation

Final grade for the course is a weighted sum of the grades of two modules: $\textrm{final grade} = 0.45 * \textrm{module}_1 + 0.55 * \textrm{module}_2$
where

• $\textrm{module}_1 = 0.5 * avg(\textrm{home works}) + 0.5 * (\textrm{end module test}) $
• $\textrm{module}_2 = 0.3 * avg(\textrm{home works}) + 0.4 * (\textrm{big home work}) + 0.3 * (\textrm{end module test})$ \

Both tests are non-blocking.

Course staff

Course materials and lectures are produced by Sergei O. Kuznetsov .

Seminars of the course are taught by:

• Egor Dudyrev
• Eric George Parakal
• Abdulrahim Ghazal

Useful links

Students Book: Kuznetsov, S. O. (2019). Ordered Sets for Data Analysis. arXiv preprint arXiv:1908.11341 (the link)