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 Mathematics - 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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One course chosen from the followingOne course chosen from the following2° Year activated in the A.Y. 2013/2014
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One course chosen from the followingOne course chosen from the following| Modules | Credits | TAF | SSD |
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One course chosen from the followingOne course chosen from those that will be activated from the followingLegend | 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.
Mathematical methods in life sciences (seminar course) (2013/2014)
Teaching code
4S001117
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
MAT/05 - MATHEMATICAL ANALYSIS
Period
II semestre dal Mar 3, 2014 al Jun 13, 2014.
Location
VERONA
Learning outcomes
Mathematical models in tumor growth, population dynamics and wound healing.
Program
Cancer is the main cause of death in western societies, in spite of the constant
progress that has been made in therapy. In this course we will present mathematical
models of elementary processes arising commonly in population biology such as growth
(or more generally reactions), active movements (or more generally
transport-diffusion) of animals or cells for instance. We will focus particularly on
models for tumor growth and treatment and, if time permits, consider other topics
like wound healing and tissue regeneration or collective movements of bacteria
(including chemotaxis). These are all crucial subjects concerning not only
individuals but also public health policies. Competence in these issues is extremely
valuable for medical research and pharmaceutical companies.
We will start by considering ordinary differential equation models and then study
spatial ones (which involve partial differential equations). In tumor growth, we
will study cell birth and death, discuss the dynamics of cancer cells and in
particular the existence of quiescent and proliferative populations and how this
influences therapeutic strategies. Cytostatic drugs (which bloc cell proliferation),
cytotoxic drugs (which kill proliferative cells) and anti-angiogenetic ones (which
perturb the formation of new blood vessels to irrigate the tumor) act in very
different ways and we will see how the mathematical models show that it is essential
to combine different types of therapy to fight against cancer in a more efficient
way.. We will also discuss the issue of development of resistance to treatments and
of competition between healthy and tumor cells and even among different types of
tumor cells and how this can be used to keep tumors under control and prevent them
from coming very aggressive.
Examination Methods
oral presentation of a course topic