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.

AIMS AND LEARNING OUTCOMES

- Understand the set of topics, even quite disparate, that currently constitute the discipline of computer science.

- Being able to use most of the tools that the evolution of computer science makes available to us with full knowledge of the facts.

- Enable students to design small portions of databases

TEACHING METHODS

Fromtal lessons and exercises

SYLLABUS/CONTENT

Introduction:

Algorithms
Abstraction
Data storage

Bit and binary system
Main memory
Mass memory
Representation of information
Numbers and their representation
Compression and error handling
Data processing:

Computer architecture
Machine language
Execution of programs
Logical-arithmetic instructions
Communication with other devices
Data abstraction:

Basic concepts
Implementation of data structures
Classes and objects
Image processing:

Definition of images
Image manipulation
Noise
Compression
Filtering
Database structures:

Layered approach to database building
Relational model
Integrity management of databases
Practise:

Use of text editor
Use of spreadsheets
Use of image management tools
Use of databases
Design of simple relational databases 
 

RECOMMENDED READING/BIBLIOGRAPHY

J. Glenn Brookshear, D. Brylow “Informatica: Una panoramica generale” 13°Ed. Pearson Milano-Torino 2020.

TEACHERS AND EXAM BOARD

Exam Board

EMANUELA DE NEGRI (President)

FABIO DI BENEDETTO (President)

MAURO GIACOMINI (President)

NORBERT MAGGI

LESSONS

LESSONS START

October 1, 2020

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Written and Oral.

ASSESSMENT METHODS

Written and oral examination of the topics discussed

Exam schedule