The courses offered in the current academic year 2022-2023 and designed for the XXXVIII series are listed below. Students enrolled in the past series can also attend the courses.

Additional information:
- TABLE view;
- calendar constantly updated with 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 gamification
[OI] Text mining
[OI] Towards a hyperconnected world: Opportunities and challenges
[OI] Explainable Machine Learning
[OI] Data Representation and Task Modeling in Natural Language Processing


[OT] Graphs and statistics with R
[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

[OT] Statistics for experimental and users' studies

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). To attend courses offered by other doctoral programs, please contact the teacher in advance.

- course Entrepreneurship and Startup (20hrs)
- courses of the Doctoral Program in Mathematics
- course of the Doctoral Program in Psychological Sciences