AIMS AND CONTENT

LEARNING OUTCOMES

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.

TEACHING METHODS

Fromtal lessons and exercises

SYLLABUS/CONTENT

• 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

RECOMMENDED READING/BIBLIOGRAPHY

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

TEACHERS AND EXAM BOARD

Exam Board

MAURO GIACOMINI (President)

GRAZIA TAMONE (President)

LESSONS

LESSONS START

October 1, 2017

EXAMS

EXAM DESCRIPTION

Written and Oral.

ASSESSMENT METHODS

Written and oral examination of the topics discussed

Exam schedule