Fundamentals of Computer Science
A.Y. 2023/2024
Learning objectives
The course aims at providing the students with the basics related to the computer and information science. In particular: i) formal definition of information; ii) semiotic models of communication; iii) database modelling; iv) network architecture (client - server); v) internet and world wide web: protocols and standard; vi) markup languages (html). Starting from the basics, the course presents advanced topics such as information retrieval and graph theory. Finally, AI is introduced specifying its scope and applications so to framing the current debate on the related topics.
Expected learning outcomes
Formal definition of information
Communication Model (Shannon Weaver)
ER model and relational model
Relational algebra and SQL
Client server architecture
TCP-IP and HTTP protocols
Basics of HTML
Adserving workflow
Basics of web analytics
Basics of Information Retrieval
Graph Theory
Search engine
Social Network Analysis
AI and Machine Learning basics
Skills.
Ability to analyze the digital communication and advertising.
Communication Model (Shannon Weaver)
ER model and relational model
Relational algebra and SQL
Client server architecture
TCP-IP and HTTP protocols
Basics of HTML
Adserving workflow
Basics of web analytics
Basics of Information Retrieval
Graph Theory
Search engine
Social Network Analysis
AI and Machine Learning basics
Skills.
Ability to analyze the digital communication and advertising.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 6
Lessons: 40 hours
Professor:
Marcante Andrea