Informatics and Statistics for Biotechnologies
A.Y. 2025/2026
Learning objectives
This course is composed by two tightly integrated units (modules). The main learning objective of the course is to enable students to design and perform statistical tests using a computer. To this end lessons belonging to the Computer science and Statistics modules are structured according to weeks comprising a Computer science lesson, a Statistics lesson, and a lab session realizing all the topics covered by the Statistics lesson using the R language for statistical computing.
Expected learning outcomes
The student is expected to be able to understand pros and cons of the statistical methods presented during the course and to plan and carry out statistical tests using the R programming language. In addition, he is also expected to be able to clearly present the results of the aforementioned tests by using the graphic functionalities offered by the R language.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Linea AK
Responsible
Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 2
SECS-S/01 - STATISTICS - University credits: 2
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 2
SECS-S/01 - STATISTICS - University credits: 2
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 2
Lessons: 48 hours
Professor:
Re' Matteo
Linea LZ
Responsible
Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 2
SECS-S/01 - STATISTICS - University credits: 2
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 2
SECS-S/01 - STATISTICS - University credits: 2
SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH - University credits: 2
Lessons: 48 hours
Professor:
Frasca Marco
Professor(s)