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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
CSimilar or integrative 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
Degree ProgrammesCambia LinguaCambia Lingua
Course Details

Context
Academic Year 2018/2019
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (471) Biomedical Engineering
Track BTE - Tecnologie elettroniche - Technologies for electronics
Programme Year 2

Course Details
ID Code 095944
Course Title BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester First Semester
Course Description The simultaneous progress of information technologies and bio-nano-technologies, and their application to the study of biological phenomena, enabled the development of new disciplines such as Bioinformatics and Computational Biology, as well as the increasing growth of available biomolecular information and the widening of bio-medical-molecular knowledge, which are starting to be applied also in the healthcare field. The course aims to illustrate principles, technologies, methods and informatics instruments for the computational analysis, information content increment and interpretation of biological data produced by genome sequencing, proteomics and measurements of gene expression and cellular metabolic flows. It will be highlighted as the application to biological data of the engineering themes of data bases, information theory, data mining and others can contribute to the increasing of biomedical knowledge and a better health treatment. The course main objective is to give a systematic view of a multidisciplinary sector and to provide the base knowledge and instruments required to tackle various issues in computational biology and to take advantage of the opportunities offered by the recent bioinformatics development.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
C
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZMasseroli Marco
23/04/2019 Area Servizi ICT v. 2.11.10 / 2.11.10