Courses

The courses offered in the current academic year 2021-2022 and designed for the XXXVII series are listed below. Students enrolled in the past series can attend these courses, but for them the attendance rules valid in their own series apply.

Additional information:
- TABLE view (updated on Sept 15 2021);
- calendar constantly updated of all BMCS teaching activities
- attendance rules and enrollment method;
- Moodle site with class material for each course

Course list and links to individual course syllabi
The courses are organized into four types:  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] Human-computer interaction
[M] Methodological foundations in experimental studies with humans
[M] Scenarios of Internet of things
[M] Tools and applications of machine learning

[OI] Cognition and computation
[OI] ICT for disabilities
[OI] AI & Law (formerly "Legal, ethical and societal issues in ICT")
[OI] Principles of computational creativity
[OI] Serious games and social media
[OI] Text mining
[OI] Towards a hyperconnected world: Opportunities and challenges
[OI] Explainable Machine Learning
[OI] Process Mining: When Process Intelligence meets Data Science
[OI] ELIXIR: a distributed infrastructure for biological data

[OT] Computer-assisted research
[OT] Python for non-computer scientists
[OT] Tools for online experiments
[OT] Doing research in and for hospitals
[OT] Entrepreneurship
[OT] Proposals writing and grants

 

We also point your attention to the following courses that might be of interest to BMCS students. With respect to the 150 hours requirement, they count as non-BMCS courses (see attendance rules).
- "Statistical methods" (28 hrs, second semester), in English, prof. Davide Risso, Dept of Statistics. Intention to attend collected by BMCS Secretariat.