Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2020/2021
Disciplinary sector: 
INFORMATION PROCESSING SYSTEMS (ING-INF/05)
Language: 
Italian
Credits: 
6
Year of study: 
2
Teachers: 
FIORE UGO
Cycle: 
Second semester
Hours of front activity: 
48

Language

Italian

Course description

Knowledge and understanding

Students are expected to gain knowledge on
• principles underlying the functioning of computer networks
• fundamental notions of information systems and data bases

Applying knowledge and understanding

Students are epected to be able to
• inspect and describe the structure of a subnet and diagnose simple malfunctions
• build an elementary data base and extract information from a data base with the SQL language

Prerequisites

Students are expected to have mathematical knowledge at an high school level.

Syllabus

• binary and hexadecimal numeral systems
• transmission media, cables, outlets and connectors, optical fibers
• working of a LAN, addresses (MAC, IPv4, and IPv6), subnetting
• DNS
• operating systems
• information systems and DBMS; relational data bases
• SQL; Data Definition Language and Data Manipulation Language; filters, join, and aggregation functions
• entities; attributes; relationships; keys

• binary numeral system, transmission media, protocols, MAC and IP addresses, DNS (24 hrs)
• concepts of operating systems, information systems, and DBMS; SQL language; entity-relationship model (24 hrs)

Teaching Methods

Lectures complemented with practice sessions. Examples will be used to clarify notions, link different concepts, and outline applications.

Textbooks

Tanenbaum, Feamster, Wetherall. Computer Networks, 6th ed., Pearson

Atzeni, Ceri, Fraternali, Paraboschi, Torlone. Database Systems
http://dbbook.dia.uniroma3.it/

Learning assessment

Assessment of the acquisition of the basic concepts listed in the "contents" section, and of the ability to apply these concepts as described in the "objectives" section, will take the form of an oral exam, which will include solving one or more exercises.

Evaluation criteria include completeness and correctness of learning and clarity of presentation.

The minimum grade (18) shall be awarded when the student has a limited knowledge of the course topics and shows uncertainties in the application of the methods taught.

The maximum grade (30) shall be awarded when the student shows a complete and in-depth knowledge of the above mentioned concepts and of methods. He/she is also able to solve proposed problems giving efficient and accurate solutions and shows the ability to link different concepts together.

Honors shall be awarded when the candidate demonstrates mastery of the theoretical and operational content and shows that she/he is able to present the topics with proper language and autonomous thinking.

More information