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Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2014/2015
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (401) Biomedical Engineering
Track BBB - Biomeccanica e biomateriali
Programme Year 2

Course Details
ID Code 085817
Course Title ADVANCED DATA ANALYSIS IN MEDICINE AND BIOINFORMATICS
Course Type Integrated Course
Credits (CFU / ECTS) 10.0
Semester Second Semester
Course Description The course introduces some advanced data and signal processing methods, by integrating the modelling approach with the information processing methods in order to obtain relevant physiological and clinical fallouts. Further, specific mathematical, statistical and computational methods will be developed for the processing of experimental data in post-genomic era in Biology and Medicine, for the molecular characterization of physiological and pathological mechanisms. Methods. Time/frequency, time/scale and wavelet analyses. Time invariant stochastic parametric approach: Wiener filter and time variant parametric approach : adaptive filters and Kalman filters. Complexity in biomedical systems and signals: basic definitions in non-linear dynamic systems. Higher order analysis: bispectrum and bicoherence. Integration of information in multivariate, multisystem, multiscale, multimodal frames. Applications. Relevant to the Central Nervous System, the Autonomic Nervous Systems, the Cardiovascular System, the Respiratory System and their interactions. Computational Genomics and Proteomics. DNA: structure-to-function paradigm. Access to biological databases and integrated tools. Sequence analysis: alignment, similarity and homology, consensus sequences and motifs. Models of evolution. Information theory in molecular biology. Phylogenetics and comparative genomics. Information treatment in proteomics. Assessment of gene expression through microarray technologies. Basics of genetics.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/06
ELECTRONIC AND INFORMATICS BIOENGINEERING
10.0

Schedule, add and removeAlphabetical groupCodeModule DescriptionProfessorCFUSem.LanguageCourse details
From (included)To (excluded)
--AZZZZ085816ANALISI AVANZATE DEI DATI PER LA MEDICINA E LA BIOINFORMATICA [2]Pattini Linda5.02
085815ANALISI AVANZATE DEI DATI PER LA MEDICINA E LA BIOINFORMATICA [1]Cerutti Sergio5.02
manifesti v. 3.1.9 / 3.1.9
Area Servizi ICT
07/12/2019