Bioinformatics for Horticultural Sciences
A.Y. 2024/2025
Learning objectives
The course will provide knowledge on the application of complex data analysis techniques in all plant sectors of agricultural interest.
In particular, it will cover aspects foreseen by the Plant Science Research Network (PSRN) which has formulated a ten-year strategic plan on the information infrastructure, big data challenges and training necessary to advance plant systems science.
In particular, it will cover aspects foreseen by the Plant Science Research Network (PSRN) which has formulated a ten-year strategic plan on the information infrastructure, big data challenges and training necessary to advance plant systems science.
Expected learning outcomes
The student will be able to set up an experiment and apply complex data analysis techniques in experimentation and research applied to tree species and agricultural species.
Lesson period: First 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
Single session
Responsible
Lesson period
First semester
AGR/03 - ARBORICULTURE AND FRUITCULTURE - University credits: 6
Practicals: 32 hours
Lessons: 32 hours
Lessons: 32 hours
Professor:
Geuna Filippo
Shifts:
Turno
Professor:
Geuna FilippoProfessor(s)
Reception:
Free upon request by telephone or email
Hover the mouse pointer on "DISAA Sez. Coltivazioni Arboree" at this page: https://www.unimi.it/sites/default/files/2019-01/SAAA_mappa_facolta.pdf