> For the complete documentation index, see [llms.txt](https://www.andreacossu.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.andreacossu.com/teaching.md). # Teaching * Artificial Intelligence Fundamentals 2025/2026, Master Degree in Computer Science, University of Pisa. * Smart Applications 2025/2026, Master Degree in Computer Science, University of Pisa (with Prof. Mazzei) * Teacher: Deep Learning and AI, Master in Big Data, University of Pisa (with Prof. Podda). * Artificial Intelligence 2024/2025, Master Degree in Law, Data and AI (EMILDAI), University of Pisa (3 CFU) * Human Language Technologies 2024/2025, Master Degree in Computer Science, University of Pisa (1 CFU) * Smart Applications 2024/2025, Master Degree in Computer Science, University of Pisa (with Prof. Mazzei) * PhD course "Collective Machine Intelligence: Beyond an Agent-Centric View of AI", Computer Science Department, University of Pisa, 2024. Artificial Life module (6 hours). {% file src="/files/HDoRu2SYDmX8Q4nOp2TU" %} Slides (PDF) Collective Machine Intelligence course {% endfile %} * Teaching assistant: [*Continual Learning: On Machines that can Learn Continually*](https://course.continualai.org/), University of Pisa, 2021 * Teacher: *Evaluation of Continual Learning algorithms* nanolecture, [Neuromatch Academy](https://academy.neuromatch.io/) school of Deep Learning, 2021 * Lab Teacher: *Deep Learning*, post-graduate [Master in Big Data](https://www.masterbigdata.it/en), University of Pisa, 2021-2025 * Teacher: *Machine Learning*, Data Science course, [tree](https://tree.it/corso-data-science-machine-learning/), 2020 * Teaching assistant: *Computer Programming Laboratory I*, University of Pisa, 2020/21 * Teaching assistant: *Smart Applications*, University of Pisa, 2019/20 ###