Teaching
Courses at CEU
I'm Professor of Practice in the Economics Department at Central European University in Vienna, teaching in the MSc in Business Analytics program — ranked #1 in Central Europe and top-50 worldwide. My course materials are open: slides, notebooks, facilitator notes, scenario cards, rubrics. Take what's useful.
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ECBS5256 Managing Data Science Teams
A workshop-driven intensive on analytics leadership. Students run calibration debates, deliver hard feedback, and write asks to executives — practicing the parts of management that nobody teaches you until you are already in the chair.
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ECBS5200 Practical Deep Learning Engineering for Applied ML
Engineering-first deep learning: building, debugging, and shipping real models on real problems. Includes a 113-class imbalanced classifier where students are expected to read source, write transformer extensions, and contribute upstream when needed.
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ECBS5228A Designing Analytics Projects
How to scope, structure, and de-risk an analytics project from problem framing to delivery. Course materials open-sourced for anyone learning to lead data work, not just take orders.
Source on GitHub → ★ 10
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ECBS5294 Introduction to Data Science: Working with Data
CEU's introductory course on the practical craft of working with data — covering exploration, cleaning, and the habits of mind that separate analysts who ship from those who get stuck.
Source on GitHub → ★ 17