First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
BIOENGINEERING
Course unit
MATHEMATICAL CELL BIOLOGY
INP9086378, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
BIOENGINEERING
IN0532, Degree course structure A.Y. 2011/12, A.Y. 2019/20
N0
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination MATHEMATICAL CELL BIOLOGY
Department of reference Department of Information Engineering
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 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2011 course timetable

Syllabus
Prerequisites: Knowledge of differential equations, linear algebra, probability theory.
Target skills and knowledge: Knowledge of dynamic models of various cell biological scenarios.
Knowledge about analysis of simple, stochastic and/or spatiotemporal dynamical systems.
Ability to perform analyses of nonlinear and stochastic dynamical systems.
Ability to implement and perform numerical simulations of dynamic models in appropriate software.
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 software to reproduce the figures of the article; (iii) the capacity to apply the theoretical methods to the model using software.
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

Electrical activity in neurons, the Hodgkin-Huxley model, bursting. Propagation of action potential.
Stochastic dynamics of ion channels.
Intracellular dynamics of calcium. Calcium waves.
Mathematical nalysis of dynamical, stochastic, and spatiotemporal systems. Bifurcations.
Planned learning activities and teaching methods: Approximately 2 hours of lessons and 2 hours of computer exercise class every week.
Additional notes about suggested reading: All slides from the lectures and various files from the laboratories will be made available on the Moodle platform.
Textbooks (and optional supplementary readings)
  • Fall, Christopher P. et al., Computational cell biology. New York [etc.]: Springer, 2000. Cerca nel catalogo
  • Keener, James; Sneyd, James, Mathematical physiology. New York [etc.]: Springer, 1998. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Problem based learning
  • Case study
  • Interactive lecturing
  • Working in group
  • Questioning
  • Problem solving
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Matlab

Sustainable Development Goals (SDGs)
Good Health and Well-Being Quality Education Life on Land