85138 - Introduction to Computer Science and Laboratory Informatics-

Academic Year 2023/2024

  • Docente: Stefano Russo
  • Credits: 3
  • SSD: INF/01
  • Language: Italian

Learning outcomes

At the end of the course, the student possesses the knowledge to understand the fundamental structure of the Internet as a packet-switched network and the main services offered by the World Wide Web such as e-mail, instant messaging, remote connections, the evolution of social network services or Web2, the processes of searching for information on the Web. The student also has basic knowledge of the use of spreadsheets (operations, functions, graphs), and database management (construction of tables, relations, masks, and queries).

Course contents

How to import research data from a worksheet in MS-PowerPoint and create slides

MODULE 2 - for CdL in Biomedical Laboratory Techniques

How to organise and manage archives with databases (12 hours)

    Archives and databases
    Architecture of a database
    Relational model
    Designing a database
    Creating a database with MS-Access

MODULE 2 - for CdL in Neurophysiopathology Techniques (12 hours)

    From the acquisition of the EEG signal (bioelectric) to its conversion into digital (numerical)
    Signal processing through digital techniques
    Visualisation and storage of the EEG signal
    Computer system and services to support a Neurophysiology Information System: functional requirements
    Privacy management and information security
    Workstation and network security

Translated with www.DeepL.com/Translator (free version)MODULE 1 - Common to CdL Biomedical Laboratory Techniques, CdL in Obstetrics and CdL Neurophysiopathology Techniques

A) Fundamentals of computer science (4 hours)

The computer, the algorithm, software
Computer networks and the Internet
Evolution of the Web
Blogs, communities and social networking

B) Introduction to health informatics (4 hours)

Main areas of information technology in health activities
Dematerialisation of documents in the clinical-health field Life cycle of the IT document
Digital archives and preservation of medical documents in public health companies (document types, preservation times)
Protection and processing of health-related data

C) How to organise, process and analyse biometric and clinical data with spreadsheets (10 hrs)

Organising, summarising, processing, analysing and representing data with MS-Excel

Importing/Exporting data Exporting data to the R platform for statistical analysis (formats) Creating, storing and sharing spreadsheets with Google Drive and Microsoft OneDrive

D) How to search and select information on the Net (4 hrs.)

Searching the Net for information
Using search engines and advanced search
Online public access catalogues (OPAC)
Databases (generalist and specialised)

E) How to present and communicate data processed with Excel to a board (2 hours)

Readings/Bibliography

-Curtin - Foley - Sen - Morin, edizione italiana a cura di A. Marengo Alessandro Pagano, Informatica di base. Con aggiornamento online. Con e-book, 6 edizione, McGraw-Hill Education, Milano, 2016.

-Materiali didattici e esercizi disponibili sulla piattaforma di e-learning.

Teaching methods

Lectures on the theoretical part. Presentations of the applications to be mastered. Free and guided exercises with the computer.

In view of the type of activity and teaching methods adopted, the attendance of this training activity requires the prior participation of all students in modules 1 and 2 of workplace safety training, [https://elearning-sicurezza.unibo.it/] in e-learning mode

Assessment methods

There is a written test that will be conducted by computer in one sitting. The test consists of a test with questions (multiple-choice) and possible exercises. The test is aimed at ascertaining the possession of acquired knowledge and skills. The time allowed for the test is forty minutes.

The written test is assessed by a grade expressed in thirtieths, which will be averaged with the physics and statistics grade. The student will only be awarded one mark for the integrated course in Physics, Statistics and Computer Science by the teacher taking the minutes.

Teaching tools

Learning control questionnaires.

Online collaborative teaching tools to supplement traditional classroom teaching activities: Moodle platform, forum, chat, web conf. wiki.

Use of content (textual and multimedia teaching materials, videos, exercises) available on the online teaching delivery platform to registered students.

Online teaching resources: Sitography.

Office hours

See the website of Stefano Russo