COMPUTER SCIENCE QUALIFICATION
cod. 17105

Academic year 2024/25
3° year of course - First semester
Professor
Pietro MUSONI
Academic discipline
Indefinito/interdisciplinare (NN)
Field
Abilità informatiche e telematiche
Type of training activity
More
15 hours
of face-to-face activities
3 credits
hub:
course unit
in ITALIAN

Learning objectives

Propose a path that, starting with a brief introduction to computing systems (architecture, operating systems, networks, and algorithms), delves into the use of personal productivity systems. The course includes, in addition to theoretical lessons, a series of classroom exercises to introduce the basics of using common tools.
With reference to the Dublin Descriptors:
Knowledge and understanding The course introduces the initial concepts related to computer science. The reference material is in Italian. Practical exercises are provided to support learning, with reference materials available online.
Application of knowledge and understanding The exercises accompanying the course focus on learning how to use word processing and spreadsheet tools. The theoretical part creates a context to provide basic knowledge for using a computer and understanding the underlying logic. Basics of problem-solving are introduced, which can be applied to spreadsheet construction and data visualization.
Autonomy of judgment The exercises proposed in class can be revisited individually or in groups. Comparing with classmates, whether working at home or in the classroom, fosters the development of specific skills for clarifying one's arguments to peers or instructors. Often, the proposed exercises can be solved in very different ways, and listening to solutions offered by others helps develop the ability to identify common structures beyond superficial differences.
Communicative skills Discussions about different methods to solve proposed problems improve communication skills. Additionally, specific communication methods related to information technology are routinely used during explanations (explicitly highlighted in class).
Learning ability Theoretical topics promote the development of technical-scientific reasoning and strengthen the understanding of the basics of computer science. The proposed exercises facilitate the learning and application of abstract concepts (logical-deductive).

Prerequisites

None

Course unit content

Part I – Introduction to computing systems

Part II – Word basics

Part III – Spreadsheet basics

Full programme

Part I – Introduction to Computing Systems Overview of: computer architectures (von Neumann), processor, memory. Operating systems, network systems, databases. Computational thinking and algorithms.
Part II – Using Word Practical exercises and use of basic and intermediate functions.
Part III – Using Spreadsheets Practical exercises. Data entry, data selection, chart creation.

Bibliography

Teaching material:
online references

Reference text:
Luca Console. Introduzione all’informatica

Teaching methods

Standard classes. There are no laboratory classes

Assessment methods and criteria

Learning Outcomes and Assessment Methods To be able to understand and appropriately use word processing and spreadsheets. To have a foundational understanding of data processing and computational thinking.
Assessment/Examination Methods The examination consists of a written test through a closed-ended multiple-choice quiz. The topics covered in the test include both the theoretical part (architecture, operating systems, networks, etc.) and the use of word processors and spreadsheets, as covered throughout the entire course.

Other information

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2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.corsiumanistici@unipr.it

Quality assurance office

Education manager:
Mr. Gianluca Uccelli
T. +39 0521 904891
Office E. dusic.educazione@unipr.it
Manager E. gianluca.uccelli@unipr.it

President of the degree course

Prof. Luana Salvarani
E. luana.salvarani@unipr.it

Guidance delegate

Prof. Marco Bartolucci
E. marco.bartolucci@unipr.it

Career guidance delegate

Prof. Mariangela Scarpini
E. mariangela.scarpini@unipr.it
         

Erasmus delegates

Prof. Dimitris Argiropoulos 
E. dimitris.argiropoulos@unipr.it

Prof. Laura Madella
E. laura.madella@unipr.it

Quality assurance manager

Prof. Diego Varini
E. diego.varini@unipr.it 

Tutor students

First year students
E. tutormatricole.educazione@unipr.it

Second and third year students
Childhood educator curriculum
E. tutorsociopedagogico.educazione@unipr.it

Second and third year students
Socio-pedagogical educator curriculum
E. tutorinfanzia.educazione@unipr.it