First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
INFORMATION ENGINEERING
Course unit
BIOENGINEERING LABORATORY
INP5071700, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2015/16

Information on the course unit
Degree course First cycle degree in
INFORMATION ENGINEERING
IN0513, Degree course structure A.Y. 2011/12, A.Y. 2017/18
N0
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination BIOENGINEERING LABORATORY
Department of reference Department of Information Engineering
E-Learning website https://elearning.dei.unipd.it/course/view.php?idnumber=2017-IN0513-000ZZ-2015-INP5071700-N0
Mandatory attendance No
Language of instruction Italian
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 ALESSANDRA BERTOLDO ING-INF/06

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/06 Electronic and Information Bioengineering 6.0

Mode of delivery (when and how)
Period Second semester
Year 3rd Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 26/02/2018
End of activities 01/06/2018

Examination board
Board From To Members of the board
2 A.A. 2016/2017 01/10/2016 15/03/2018 BERTOLDO ALESSANDRA (Presidente)
GRISAN ENRICO (Membro Effettivo)
DALLA MAN CHIARA (Supplente)
PEDERSEN MORTEN GRAM (Supplente)
RUGGERI ALFREDO (Supplente)
SACCOMANI MARIAPIA (Supplente)
SPARACINO GIOVANNI (Supplente)
TOFFOLO GIANNA MARIA (Supplente)

Syllabus
Prerequisites: Systems and Models, Signals and Systems
Target skills and knowledge: The student will be able to study and to practice in Matlab, methodologies to develop biological models, to estimate model parameters, to analyze time series, to assess biological results using biostatistics.
Examination methods: Homeworks and final oral discussion
Assessment criteria: Homeworks and final oral discussion
Course unit contents: MODELS OF BIOLOGICAL SYSTEMS (24 hours) - maximum likelihood estimation: initial estimates, the description of the measurement error, the precision of estimates. The choice of model: AIC, BIC and f-test. Sensitivity analysis by partial differential (PD, NPD). Monte Carlo simulation. Bootstrap simulation. Case studies.
BIOLOGICAL TIME SERIES (12 hours) – Algorithms for denoising, recognition and analysis of peaks, entropy measures. Case studies
BIOSTATISTICS (12 hours)- Exploratory data analysis (indices; histograms and box plots, measures of location, dispersion, shape); some elements of inferential statistics (statistical tests). Case studies
Planned learning activities and teaching methods: MODELS (Matlab): development and identification of models for the transport and distribution of drugs, for the diffusion in porous media / heart valves, for tissue and tumor growth, for the analysis of sports performance, for systems biology: regulation circuits gene and protein
TIME SERIES (Matlab): analysis of hormone series, EEG, EMG, ECG and heart rate variability signal
BIOSTATISTICS (Matlab): statistical tests to evaluate the effect of a drug from a clinical trial. Analysis of "big data": identification of differentially expressed genes
Additional notes about suggested reading: Notes from lab classes.
Textbooks (and optional supplementary readings)