| First cycle degree courses | Second cycle degree courses | Single cycle degree courses |
| School of Engineering | ||
| BIOMEDICAL ENGINEERING | ||
Course unit
ELEMENTS OF MATHEMATICAL BIOLOGY
INP6075163, A.A. 2018/19
Information concerning the students who enrolled in A.Y. 2016/17
ELEMENTS OF MATHEMATICAL BIOLOGY
INP6075163, A.A. 2018/19
Information concerning the students who enrolled in A.Y. 2016/17
Information on the course unit
| Degree course |
First cycle degree in INGEGNERIA BIOMEDICA IN0512, Degree course structure A.Y. 2011/12, A.Y. 2018/19 |
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|---|---|---|
| Number of ECTS credits allocated | 6.0 | |
| Type of assessment | Mark | |
| Course unit English denomination | ELEMENTS OF MATHEMATICAL BIOLOGY | |
| Department of reference | Department of Information Engineering | |
| E-Learning website | https://elearning.dei.unipd.it/course/view.php?idnumber=2018-IN0512-000ZZ-2016-INP6075163-N0 | |
| Mandatory attendance | No | |
| Language of instruction | English | |
| Branch | PADOVA | |
| Single Course unit | The Course unit can be attended under the option Single Course unit attendance | |
| Optional Course unit | The Course unit can be chosen as Optional Course unit |
Lecturers
| Teacher in charge | MORTEN GRAM PEDERSEN | ING-INF/06 |
|---|
ECTS: details
| Type | Scientific-Disciplinary Sector | Credits allocated | |
|---|---|---|---|
| Core courses | ING-INF/06 | Electronic and Information Bioengineering | 6.0 |
Course unit organization
| Period | Second semester |
|---|---|
| Year | 3rd Year |
| Teaching method | frontal |
| Type of hours | Credits | Teaching hours |
Hours of Individual study |
Shifts |
|---|---|---|---|---|
| Lecture | 6.0 | 48 | 102.0 | No turn |
| Start of activities | 25/02/2019 |
|---|---|
| End of activities | 14/06/2019 |
| Show course schedule | 2018/19 Reg.2011 course timetable |
Examination board
| Board | From | To | Members of the board |
|---|---|---|---|
| 1 A.A. 2018/2019 | 01/10/2018 | 15/03/2020 |
PEDERSEN
MORTEN GRAM
(Presidente)
DALLA MAN CHIARA (Membro Effettivo) BERTOLDO ALESSANDRA (Supplente) DEL FAVERO SIMONE (Supplente) FACCHINETTI ANDREA (Supplente) |
| Prerequisites: | Knowledge of differential equations and linear algebra. |
| Target skills and knowledge: | Knowledge of dynamic models of various biological scenarios.
Knowledge about analysis of simple dynamical systems: fix points, oscillations, Saddle-node bifurcation, Hopf bifurcation. Ability to perform simple analyses of nonlinear dynamical systems. Ability to implement and perform numerical simulations of dynamic models in MATLAB. Capacity to evaluate the goodness of models considering their scope ("critical spirit"). |
| Examination methods: | Written report with oral discussion based on a scientific article. This allows the evalution of (i) the understanding and critical evaluation of the model; (ii) the capacity to implement the model in MATLAB to reproduce the figures of the article; (iii) the capacity to apply the theoretical methods to the model using MATLAB. |
| Assessment criteria: | The exam will evaluate the ability of the student to interpret mathematical results and simulations in biological terms, as well as the capacities of performing numerical simulations and mathematical analyses of the models. |
| Course unit contents: | COURSE IN ENGLISH
Models of infectious diseases. Enzyme kinetics, quasi-steady-state approximation, Michaelis-Menten kinetics. Biochemical and biological oscillations, e.g., circadian rhythms (DNA and RNA transcription). Electrical activity in neurons, the Hodgkin-Huxley model. Analysis of dynamical systems: temporal scales, stability of fix points, Hopf bifurcation. |
| Planned learning activities and teaching methods: | Approximately 2 hours of lessons and 2 hours of computer exercise (MATLAB) class every week. |
| Additional notes about suggested reading: | All slides from the lectures and various MATLAB files from the laboratories will be made available on the Moodle platform. |
| Textbooks (and optional supplementary readings) |
|
- Lecturing
- Laboratory
- Problem based learning
- Case study
- Interactive lecturing
- Working in group
- Questioning
- Problem solving
- Loading of files and pages (web pages, Moodle, ...)
- Moodle (files, quizzes, workshops, ...)
- Matlab
