TO0053 - COMPUTATIONAL MODELING OF BRAIN AND COGNITION

Learning assessment consists of an oral exam designed to evaluate the understanding of the technical and theoretical aspects of the models and techniques introduced during the course.




The final grade is expressed on a scale of 30 (out of 30) based on the following motivations:





18–22/30 Sufficient The student demonstrates a basic knowledge of the computational models presented. However, the level of rigor in their presentation is limited.


23–25/30 Satisfactory The student possesses a fair understanding of computational models. They are able to satisfactorily explain the fundamental concepts covered in the course.


26–27/30 Good The student shows a good knowledge of the topics of the course and precision in technical language. They are capable of addressing the aspects of computational modeling rigorously and with confidence.


28–30/30 Excellent The student demonstrates strong critical analysis skills, moving with ease between the theoretical and applied aspects of the material presented.


30 cum Laude With Honors Honors are reserved for students who demonstrate exceptional brilliance in their knowledge of the subject. They present models independently and can correctly explain their functionality across various levels of complexity with absolute autonomy.