Statistical Data Analysis
Probability, error propagation, confidence intervals, least squares, maximum likelihood, bootstrap, MCMC, sWeights and unfolding, with exercises every day. Slides, exercises and the schedule are on Indico.
Data Analysis Block Course · 21 Sep – 2 Oct 2026
Statistics & Machine Learning
A hands-on block course for master and PhD students at TU Dortmund and Ruhr-Universität Bochum. Week 1 covers statistical inference; week 2 covers machine learning, from automatic differentiation to transformers and agents.
Mikhasenko groupExperimental Physics I · Ruhr-Universität Bochum
Statistics
Lectures
Week 2 · Machine learning, lectures by Prof. Dr. Mikhail Mikhasenko. The slides run in the browser; press F for full screen and Esc for the slide overview. Interactive panels load when their slide is reached.
Exercises
Each attendance sheet is worked through in class right after its lecture; the homework is a marimo notebook. molab opens a notebook in the browser without installing anything; the .py link downloads it for marimo edit. Teaching assistants: Hendric Jonas, Christoph Tönnis, Marian Stahl.
Forward and Reverse Automatic Differentiation by Hand
Diagnosing an Infection with Temperature
Decision Trees by Hand
AdaBoost and Gradient Boosting
Neural Networks by Hand
Adam and Convolutional Neural Networks
Transformers by Hand
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