Computer Skills Test
A.Y. 2021/2022
Learning objectives
The course aims to deepening students' knowledge on the use of popular software applications, improving their digital skills, and promoting computational thinking.
Expected learning outcomes
Students will
recognize and explain the fundamental structure of an algorithm and programming;
process a text with advanced tools
use spreadsheet to analyze data
create a presentation or use a tool of data visualization
recognize image formats and perform image processing
use advanced internet search
recognize and avoid the main digital threats
understand networks structure and working
recognize and explain the fundamental structure of an algorithm and programming;
process a text with advanced tools
use spreadsheet to analyze data
create a presentation or use a tool of data visualization
recognize image formats and perform image processing
use advanced internet search
recognize and avoid the main digital threats
understand networks structure and working
Lesson period: Third trimester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
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
Responsible
Lesson period
Third trimester
No differences.
Course syllabus
Covered topics include
1. Problem Solving and Computational Thinking Basics
2. Advanced Word Editing (fields, automatic tools)
3. Image Editing
4. Advanced SpreadSheet (functions, graphics, pivot, filters, simulation tools)
5. Basics and Tools for Social Network Analysis
6. HTML, CSS, JavaScript Essentials
7. Advanced Presentation (advanced tools and controls, other presentation sw
8. Data visualization
9. Search tools and tips; IT security and Mobile Computing basics
1. Problem Solving and Computational Thinking Basics
2. Advanced Word Editing (fields, automatic tools)
3. Image Editing
4. Advanced SpreadSheet (functions, graphics, pivot, filters, simulation tools)
5. Basics and Tools for Social Network Analysis
6. HTML, CSS, JavaScript Essentials
7. Advanced Presentation (advanced tools and controls, other presentation sw
8. Data visualization
9. Search tools and tips; IT security and Mobile Computing basics
Prerequisites for admission
Basic computer literacy
Teaching methods
Synchronous and asyncronous teaching: videos of lessons (in English) in Teams and slides in English
Teaching Resources
Available on the Ariel website or Teams
Assessment methods and Criteria
Multiple choice survey
Professor(s)
Reception:
from January to March and after the third trimester: on Thursday from 15.00 (by appointment); during the third trimester: after the lesson or by appointment
Room 105 (Via Passione)