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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
ABasic 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 2018/2019
School School of Industrial and Information Engineering
Name (Bachelor of Science degree)(ord. 270) - MI (358) Engineering of Computing Systems
Track II3 - Informatica
Programme Year 3

Course Details
ID Code 052512
Course Title BIOINFORMATICS ALGORITHMS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester Second Semester
Course Description Bioinformatics is an increasingly important and interesting area of computer science application. This discipline was born from the growing need in Molecular Biology to develop adequate computational tools for the resolution of multiple problems, including those derived from the analysis of biological sequences (DNA, RNA, proteins). In particular, the recent biotechnologies of next generation sequencing enable to generate precise, but also very big, data of biological sequences, which raise complex problems and require specific algorithms for their effective and efficient processing and computational analysis. The course aims to introduce the students to such problems and to their computational solution, with the main goal to provide the algorithmic knowhow to successfully face both the study and the efficient solution of a variety of problems regarding sequences, trees and graphs in Bioinformatics. It will develop the skills to design exact or approximated algorithms for the solution of optimization problems regarding sequences, trees and graphs which are used to solve Bioinformatics problems, and the ability to use software available in the Internet for the study of biological sequences.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
A,B
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZPavesi Giulio
manifesti v. 3.3.7 / 3.3.7
Area Servizi ICT
07/08/2020