Corso di laurea in Scienze dell'Educazione

Introduction to computer science, in its basic concepts and main theory, with a focus on its use in educational programs.

At the end of the course, students should have acquired:

1) Knowledge and understanding

• of the fundamental principles of computer science as a science
• of the basic techniques of information representation/organisation and conceptual modelling
• of the basic concepts of programming and execution of programs on a computer
• of some common algorithm examples

2) Ability to apply knowledge and understanding:

• develop a critical view of the tools, opportunities and risks of the "digital revolution".
• recognise the educational implications of the knowledge learned about the impact of information technology in society
• to be able to use the appropriate vocabulary in relation to information technology

3) Autonomy of judgement

• ability to assess the impact of innovations underpinning computer science
• ability to assess correctness and completeness with regard to the representation of information

4) Communication skills

• ability to use basic computer science terminology correctly
• ability to express and justify one's position regarding the impact of innovations underpinning computer science

5) Learning skills

• ability to study independently on general topics relating to computing
• ability to adequately represent information related to a given domain

Computer science as a science.

Problem-algorithm-program: introduction to algorithmic thinking and programming with examples.

Notes on information representation and computer architecture.

Classes will adopt a blended approach. Preparatory materials and exercises will be provided on the eLearning page of this teaching before classes. During classes, exercises will be proposed and solved, further insights will be presented, and there will be time for questions and discussions.

The class will consist of 18 hours of lectures (3 cfu) in physical presence. Lectures will be recordered and uploaded on the Moodle platform, but live streaming of the classes will not be available.

The lecture calendar will be the following:

• November 10, 17, 24
• December 1, 15, 22

The examination will take the form of multiple-choice quizzes on the programme topics. The quiz consists of 16 questions, must be completed in 60 minutes, and is considered passed with 9 out of 16 questions correct.

The examination is unmarked (approved/not approved).

Study materials will be published at the eLearning page of this teaching during the course, including links to teaching materials accessible online. All resources will be digitally available; it will be possible to access them online as well as download them and print them for those who wish to do so.