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:
Master's degree 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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Two courses among the followingThree courses among the followingOne course among the followingOne course among the following2° Year activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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Two courses among the followingThree courses among the followingOne course among the followingOne 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" 1ST YEAR; "CLINICAL PROTEOMICS" 1ST and2ND 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 (2023/2024)
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 4, 2024 al Jun 14, 2024.
Courses Single
Authorized
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
Basic knowledge of biology and bioinformatics is required
Program
The course aims to provide students with an overview of various aspects, both basic and applied to bio-medical disciplines, relating to Systems Biology. The course includes a basic introductory part, in which the general concepts of complexity, emergent properties, abstraction, mathematical modeling and biological networks will be addressed. Furthermore, the general methodological principles of Systems Biology, the databases and applications used in research in the field will be illustrated. Furthermore, some complex systems typical of biology will be introduced, such as signal transduction and metabolic networks. In the second part of the course, elements of complex biological systems relevant to medicine will be introduced, such as the immune system, autoimmune diseases and cancer, all preparatory to the contextualization of the aforementioned systems in pathology and systems biology. Various examples of systems biology analyzes in pathological fields that lead to the creation of personalized medicine will be illustrated. In the global context of the degree, the course will aim to provide the tools necessary to understand the multidisciplinary aspect of biomedicine and bioinformatics. The course also includes 12 hours of practical exercises in the field of applying bioinformatics to the analysis of "omics" data in the context of human pathologies.
Didactic methods
Lectures with slides
Learning assessment procedures
Written with multiple choice questions electronically but in person
Evaluation criteria
Final grade out of thirty without honours
Criteria for the composition of the final grade
Integrated grade of the two courses
Exam language
Inglese
