AIMS AND CONTENT

LEARNING OUTCOMES

Module “Informatics”

To understand the complete set of subjects (even somewhat differentiated) that form the actual informatics matter. To be able to use, with a correct level of knowledge, most of the tools that the computer science have developed at present.

Module “Bioinformatics”

The modern techniques of genome sequencing and analysis of protein sequences produce large amount of data that require the use of informatics technologies and of the web. The aim of this teaching Module is to illustrate the methods used for genome and protein analysis, the algorithms used in Bioinformatics, and the software applications of common usage. Teaching will be carried out through the extensive use of web servers.

TEACHING METHODS

Frontal lessons and Practise

SYLLABUS/CONTENT

Module “Informatics”

• Data abstraction:
  • Basis concepts
  • Data structure implementation
  • Classes and objects
• Database structures:
  • Level based approach to the development of databases
  • Relational model
  • Database integrity management
• Software engineering:
  • Software life cycle
  • Testing
  • Documentation
• Artificial Intelligence:
  • Perception
  • Artificial neural networks
  • Robotics
• Computational Theory
  • Turing machine
  • Universal programming language
  • Private key cryptography
• Practical examples:
  • Use of spreadsheet as data collection tool
  • Migration from spreadsheet to database management system
  • Use of internet for scientific and bibliographic research

Module “Bioinformatics”

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RECOMMENDED READING/BIBLIOGRAPHY

Module “Informatics”: J. Glenn Brookshear “Informatica: Una panoramica generale” 9° Ed, Pearson Milano 2006.

Module “Bioinformatics”: Dispense fornite dal Docente.

TEACHERS AND EXAM BOARD

Exam Board

DOMENICO BORDO (President)

MAURO GIACOMINI (President)

LESSONS

LESSONS START

October 1, 2017

Class schedule

INFORMATICS AND BIOINFORMATICS

EXAMS

EXAM DESCRIPTION

Written and oral

ASSESSMENT METHODS

Written and oral exam

Exam schedule