Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


MODELING AND COMPUTATIONAL METHODS IN BIOLOGY
MODELLI E METODI COMPUTAZIONALI PER LA BIOLOGIA

A.Y. Credits
2020/2021 6
Lecturer Email Office hours for students
Margherita Carletti Always, after lesson time
Teaching in foreign languages
Course with optional materials in a foreign language English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language.

Assigned to the Degree Course

Biotechnology (L-2)
Curriculum: PERCORSO COMUNE
Date Time Classroom / Location
Date Time Classroom / Location

Learning Objectives

The course aims at providing students the basis of matematical modeling applied to Biology, both from a theoretical point of view via differential equations of various kinds, and from the numerical and computational point of view in order to simulate their solutions. The course is also meant to enable students catching the usefulness of and the criticism in the use of mathematical modelling in Life Sciences in order to describe complex phenomena and predict possible scenarios.

Program

1. The basis of mathematical modeling

1.1 What is a mathematical model?

1.2 Characteristics of a mathematical model

2. Differential Equations and Differential Systems

2.1 Background to the concepts of derivative and integral of a function.

2.2. Ordinary Differential Equations and Cauchy problem (ODEs).

2.3 (Hints on) Delay Differential Equations (DDEs).

2.4 Stochastic Differential Equations (SDEs).

3. Differential modeling of biological processes

3.1 Models for popuation growth: Malthus, Verhulst, Gompertz.

3.2 Models for the spread of infections; SI, SIS, SIR, SI(R)S, SEIR. Applications to Covid-19.

3.3 Modeling bacteria-bacteriophage infections in marine environment (ODEs, SDEs).

3.4 The use of MATLAB for the simulation of the solutions of models introduced in 3.1 - 3.2.

Bridging Courses

Although not mandatory, having passed the exam of Mathematics is strongly recommended.

Learning Achievements (Dublin Descriptors)

Students should demonstrate:

D1. Thorough knowledge and non mnemonic comprehension of the treated issues.

D2. Capability of application of the concepts of derivative and integral of a mathematical function to modeling.

D3. Capability of justifying each equation in a model according to its biological meaning 

D4. Capability of defending a thesis, making links among different studied issues, enhancing strength and weakness points of a mathematical model applied to Biology.

D5. Ability of using a rigorous scientific language in the exposition of the studied issues.

Teaching Material

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

Supporting Activities

None


Teaching, Attendance, Course Books and Assessment

Teaching

- Frontal lessons

- Regular check of uploaded material on the Moodle platform 

Attendance

Not mandatory

Course books

Uploaded material on the Moodle platform; slides, scientific papers and useful links. 

Assessment

Oral examination consisting in:

1) introduction and discussion of numerical results of one of the differential models studied during the academic year or a new one according to the student's choice. In this second case, the student HAS TO SEND TO THE TEACHER (margherita.carletti@uniurb.it), NOT LATER THAN 5 DAYS BEFORE THE EXAMINATION DAY, one or more scientific articles and/or other material useful to understand the biological problem and evaluate the student's presentation.

The maximun available time to the student for his/her discussion of the chosen model is 30 minutes.

Disability and Specific Learning Disorders (SLD)

Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.

To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.

Additional Information for Non-Attending Students

Teaching

Regular check on the Moodle platform.

Attendance

Not mandatory

Course books

Uploaded material on the Moodle platform; slides, scientific papers and useful links. 

Assessment

Same as ATTENDING STUDENTS.

Disability and Specific Learning Disorders (SLD)

Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.

To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.

« back Last update: 21/07/2021

Il tuo feedback è importante

Raccontaci la tua esperienza e aiutaci a migliorare questa pagina.

Il tuo 5x1000 per sostenere le attività di ricerca

L'Università di Urbino destina tutte le risorse che deriveranno da questa iniziativa alla ricerca scientifica ed al sostegno di giovani ricercatori.

15 22

Se sei vittima di violenza o stalking chiama il 1522, scarica l'app o chatta su www.1522.eu

Il numero, gratuito è attivo 24 h su 24, accoglie con operatrici specializzate le richieste di aiuto e sostegno delle vittime di violenza e stalking.

Posta elettronica certificata

amministrazione@uniurb.legalmail.it

Social

Università degli Studi di Urbino Carlo Bo
Via Aurelio Saffi, 2 – 61029 Urbino PU – IT
Partita IVA 00448830414 – Codice Fiscale 82002850418
2024 © Tutti i diritti sono riservati

Top