COMPUTER SCIENCE
Stampa
Enrollment year
2022/2023
Academic year
2024/2025
Regulations
DM270
Academic discipline
INF/01 (COMPUTER SCIENCE)
Department
DEPARTMENT OF BRAIN AND BEHAVIORAL SCIENCES
Course
PSYCHOLOGICAL SCIENCES
Curriculum
PERCORSO COMUNE
Year of study
Period
2nd semester (17/02/2025 - 06/06/2025)
ECTS
2
Lesson hours
12 lesson hours
Language
Italian
Activity type
WRITTEN TEST
Teacher
LANTERNA DARIO (titolare) - 3 ECTS
Prerequisites
Basic knowledge in Information and communication technology
Learning outcomes
The course is structured to allow the learning of the basics of information technology, data processing regulations and data protection. The aim is to transfer the basic elements of the use of information technology into the professional field.
Course contents
The course make a review of the basic concepts of information technology: data, coding and representation, cryptography, hardware, software, operating system, information security.
The course presents the IT tools and the relevant regulations: Electronic signature, PEC, SPID, CIE, GDPR.
It introduces the concept of service and the methods of use and provisioning, both for on-premises and CLOUD services. Presentation is focused to data/information collection, storage and manipulation using the IT resources provided by the University (Azure, Google, AWS, University Library System);
It presents the potential of spreadsheets as tools for data analysis (statistical functions, logical functions, temporal functions) and data presentation (charts, conditional formatting, pivot tables).
Teaching methods
The course takes place through frontal teaching.
For each CFU (25 hours) is expected
4 hours of teaching in DE delivery mode, i.e frontal teaching (presentation of contents via slides)
2 hours of interactive teaching - DI ( analysis of real ICT infrastructures, guided exercises)
19 hours of self-study on the course slides and their sources
To facilitate inclusive teaching, the teacher provides up to two hours of office hours per week, by appointment
Reccomended or required readings
Course slides with sources for further information.
Assessment methods
Written exam with open-ended questions and closed-ended questions
For open-ended questions the evaluation criteria will be: exhaustiveness, relevance and clarity of explanation.
Each question assigns from 0 to 3 points, the final evaluation will be positive if the sum of the scores exceeds 18 points.
Further information
The course material is available on the KIRO portal (https://elearning.unipv.it/)
Sustainable development goals - Agenda 2030
The course contributes to the knowledge included in the objectives
4 Provide quality, equitable and inclusive education, promote lifelong learning opportunities for all
16.10 Ensure public access to information and protect fundamental freedoms, in accordance with national legislation and international agreements
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