Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Molecular and Medical Biotechnology - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2 courses among the following3 courses among the following1 course among the following1 course among the following2° Year activated in the A.Y. 2022/2023
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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2 courses among the following3 courses among the following1 course among the following1 course among the following| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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2 courses among the following ("BIOTECHNOLOGY IN NEUROSCIENCE" AND "CLINICAL PROTEOMICS" 1ST AND 2ND YEAR; THE OTHER COURSES 2ND YEAR ONLY)Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Systems biology (2022/2023)
Teaching code
4S003680
Academic staff
Coordinator
Credits
6
Also offered in courses:
- Systems biology of the course Master's degree in Medical Bioinformatics
Language
English
Scientific Disciplinary Sector (SSD)
MED/04 - EXPERIMENTAL MEDICINE AND PATHOPHYSIOLOGY
Period
Semester 2 dal Mar 6, 2023 al Jun 16, 2023.
Learning objectives
The class will provide the students with an overview of different aspects of Systems Biology applied to life and medical science. The class will be initially focused on general aspects of Systems Biology, including the concepts of complexity, emergent properties, abstraction, mathematical modeling and biological networks. the course will provide a number of examples regarding general principles and methods typical of systems biology, data-bases and software widely used in the field. Furthermore, in the course we will introduce as propaedeutic background, some examples of complex systems in biology, including signal transduction and metabolic networks. In the second part of the course we will proceed with the description of complex systems relevant to medicine, such as the immune systems, autoimmune diseases and cancer in the context of systems biology. Several examples will be explained and extensively illustrated. Moreover, a general view of systems biology in the context of a transition toward personalized medicine will be proposed. In the context of the degree, the class will provide the necessary bases to understand the interdisciplinary nature of biomedicine and bioinformatics.
Prerequisites and basic notions
Bachelor's Degree
Program
Diseases– introduction
Networks in biomedicine – introduction
Application: The human diseasome
Application: Comorbidity
Innate immunity: introduction and applications
Tumors: introduction and applications
Analysis of cellular networks on tissue samples
P4 medicine
Practical lessons using laboratory data
Introduction to technical approaches for network medicine – practical part
Bibliography
Didactic methods
slides
Learning assessment procedures
written exam
Evaluation criteria
vote
Exam language
English Inglese
