Courses
Current teaching/learning materials developed under Unlicense, Creative Commons AttributionNoncommercialShare Alike 4.0 International License or Apache 2.0 License are listed below.

glm2018:: 1MS369: Generalised Linear Models, Uppsala Maths Postgraduate Course, Fall 2018.

infty201801:: 1MS035: Inference Theory 1, Uppsala Maths Undergraduate Course, Fall 2018.

360in525 Minutes CIM Course Set in Data Sciences for Uppsala’s PhD/MSc Students, Spring 2018.

Scalable Data Science for Uppsala’s PhD/MSc Students, Fall 2017 (under progress).
 Scalable Data Science  1.6 from Middle Earth, Raazesh Sainudiin and Sivanand Sivaram, Published by GitBook, 791 pages, 24th July 2017. Available as:
 forkable open source in GitHub
 YouTubeplaylist.
 Computational Statistical Experiments in MATLAB, Raazesh Sainudiin and Dominic Lee, 360 pp, 2017. Available as:
 Mathematical and Statistical Elements of Data Science in SageMath/Python: A programmatic introduction for data scientists, Raazesh Sainudiin, 2017 (in progress).
 See an earlier version of the course with an emphasis on simulations that is available as:
 forkable open source in GitHub
 YouTubeplaylist
 See an earlier version of the course with an emphasis on simulations that is available as:
 See courses taught from 20072016 at the Course Archive.