Information Processing
A.Y. 2023/2024
Learning objectives
The course aims to provide students with the technical knowledge necessary to include the operating principles of biopotential sampling systems, based on computer, methodological and statistical notions.
Expected learning outcomes
Students will be asked to know the technical knowledge necessary to understand the operating principles of biopotential sampling systems, based on computer, methodological and statistical concepts
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Course syllabus and organization
Single session
Responsible
Electric and electronic measurements
ING-INF/07 - ELECTRICAL AND ELECTRONIC MEASUREMENT - University credits: 1
Lessons: 10 hours
Informatics
INF/01 - INFORMATICS - University credits: 3
Lessons: 30 hours
Information processing system
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 3
Lessons: 30 hours
Medical statistics
MED/01 - MEDICAL STATISTICS - University credits: 1
Lessons: 10 hours
Professor:
La Vecchia Carlo Vitantonio Battista
Shifts:
-
Professor:
La Vecchia Carlo Vitantonio Battista
Statistics for experimental and technological research
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 1
Lessons: 10 hours
Professor(s)