Teaching Portfolio

Aurélien Nicosia

Author

Aurélien Nicosia

Published

January 30, 2026

Introduction and Structure

The purpose of this teaching portfolio is to present a holistic and documented view of my contribution to university teaching in statistics and data science. It is not a simple collection of syllabi, but an evidence-based argument for my teaching philosophy: training autonomous, critical, and technically competent practitioners.

What You Will Find in This Portfolio

This document is organized as a coherent narrative spanning the main dimensions of my teaching work. You can navigate directly to the following sections:

  1. Foundations: alignment between my teaching philosophy and its concrete implementation (learning by doing, immersion).
  2. Innovation and Improvement: case studies on AI integration and impact analysis with students.
  3. Leadership and Outreach: action beyond my own courses, shared tools, and future vision.