Biomathematics in practise

General data

Course ID:	1000-1S18BP
Erasmus code / ISCED:	11.1 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0541) Mathematics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Biomathematics in practise
Name in Polish:	Biomatematyka w praktyce
Organizational unit:	Faculty of Mathematics, Informatics, and Mechanics
Course groups:	Seminars for Mathematics
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Type of course:	elective seminars
Short description:	During the course, by working on the joint projects (3-4 people in each group), each student will learn how to create mathematical models, how to analyze and interpret biological or biomedical data, and how to perform computer simulations. Projects will be prepared based on the real world biological and medical problems, which were or actively are researched by the instructors themselves or by their collaborators. The work will be planned in the way that each group will have a chance to prepare materials which could be later used for a joint publication.
Full description:	Interdisciplinary is nowadays one of the most important aspect of most scientific ventures, with interplay of mathematical modelling with biology or medicine being one of the most prominent examples. One can use, for example, a mathematical model based on the ordinary differential equations to describe the tumor growth and try to answer the question if there is a synergy effect between two considered drugs. Another class of models can describe the properties of the blood flow in the cardiovascular system and help to assess the mortality risk under different pathological conditions (e.g. increased arterial stiffness). During the course, by working on the joint projects (3-4 people in each group), each student will learn how to create mathematical models, how to analyze and interpret biological or biomedical data, and how to perform computer simulations. Projects will be prepared based on the real world biological and medical problems, which were or actively are researched by the instructors themselves or by their collaborators. We assume that each group will receive real data that will require a) in-depth analysis, b) choosing proper mathematical tools to prepare the model, and c) performing model analysis and assess validity of its predictions. The students will learn how to formulate proper hypotheses, i.e. if they are of any significance for biology or medicine and, at the same time, if they can be tackled using existing or new mathematical tools. The work will be planned in the way that each group will have a chance to prepare materials which could be later used for a joint publication.
Learning outcomes:	(in Polish) • Zapoznał się ze specyfiką biomatematyki, która polega na ciągłej współpracy matematyka z biologiami lub lekarzami, czyli szeroko pojętymi eksperymentatorami. • Potrafi wyszukiwać informacje (nie tylko matematyczne) w literaturze, głównie obcojęzycznej. • Potrafi dobrać i wykorzystać nowoczesne oprogramowanie do rozwiązania zadania z biomatematyki. • Potrafi dobrać odpowiednie narzędzie matematyczne do postawionego problemu z pogranicza biologii i medycyny. • Rozumie konieczność systematycznej pracy własnej oraz współpracy ze specjalistami z innych dziedzin. • Potrafi precyzyjnie, zrozumiale i w atrakcyjnej formie zaprezentować wyniki swojej pracy.
Assessment methods and assessment criteria:	Based on the project report

This course is not currently offered.

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