CH0011 - NEUROIMAGING DATA ANALYSIS

The assessment of students' preparation will involve a series of in-class tests based on two presentations of articles suggested by the students and agreed upon in advance with the teacher. For the assessments, the total available points (30) will be distributed based on indicators of formal correctness, richness of content, and rigor in presentation, including the appropriateness of technical language. The final score will be the sum of the partial scores.



The topics of the presentations, which will constitute the exam, will reflect those covered during the course and present in the curriculum. They will be elaborated to encourage students to reflect on the connections between various topics. To pass the exam, the student must demonstrate knowledge of all the topics in the course curriculum.

Specifically, a grade will be assigned between:

18 and 21 if the student demonstrates sufficient knowledge and skills in the course topics, with particular reference to the spatiotemporal characteristics of data measured through different techniques;

22 and 25 if the student demonstrates good knowledge and skills in all course topics;

26-29 if the student demonstrates very good knowledge and skills in all course topics and a more than good level of scientific rigor;

30 if the student demonstrates excellent knowledge and skills in all course topics and a high level of scientific rigor;

30 cum laude if the student demonstrates outstanding knowledge and skills in all course topics and a high level of scientific rigor, as well as the ability to make connections and expand beyond the topics covered.