Course list and links to individual course syllabi in the academic year 2025-2026

- Overview with course names, teachers, course lengths, course category and credits
- Schedule and location with of all courses
- Attendance rules and enrollment method, including attendance authorization for non-BMCS students;
- Moodle site with class material for each course

The courses are organized into three categories:  M = Mandatory, OI = Optional Interdisciplinary, OT = Optional Transferable Skills.

[M] Foundations of cognitive neuroscience
[M] How to write and present scientific results
[M] Human and machine vision
[M] Methodological foundations in experimental studies with humans
[M] Natural Language Processing
[M] Tools and applications of machine learning for societal challenges
[M] User studies in human-computer interaction

[OI] AI & Law (formerly "Legal, ethical and societal issues in ICT")
[OI] Explainable Artificial Intelligence
[OI] Human cognition and artificial intelligence
[OI] Principles of computational creativity
[OI] Seminars of scenarios of Internet of Things
[OI] Technologies for sport performance analysis
[OI] Text mining

[OT] Graphs and statistics with R
[OT] Computer-assisted research
[OT] Python for non-computer scientists
[OT] Opportunities and advantages of building research infrastructures
[OT] Tools for online experiments
[OT] Entrepreneurship, proposal writing and other UNIPD transversal courses