Short essays on the ideas behind my courses, lectures and research-oriented teaching.
A practical, slightly provocative essay on what AI has genuinely improved, which assignments it has exposed, and why validation matters more than ever.
Read the article →One complete topic on one visual canvas: concepts, connections, examples and a path to understanding. Not a slide deck, mind map or ordinary infographic.
Read the definition →Every chart already contains choices: what to measure, whom to include, which scale to use and what to leave out. Good analysis begins with the question: what conclusion are we actually entitled to make?
A model can generate code, explanations and hypotheses quickly. It cannot take responsibility for data quality, a fair comparison or the consequences of a decision. This makes data expertise more important, not less.
Probability is not only about coins and dice. It helps distinguish coincidence from evidence, reason about risk and recognize situations in which intuition fails with remarkable confidence.