Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Medical bioinformatics - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
Further linguistic skills (C1 English suggested)
3
F
-
Stages
3
F
-
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S009832

Coordinator

Rosalba Giugno

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Semester 1 dal Oct 3, 2022 al Jan 27, 2023.

Learning objectives

Knowledge and understanding The course aims to provide students with the knowledge and understanding of the algorithms and advanced programming tools for the management of single cell and spatial transcriptomic data. Applying knowledge and understanding The student will therefore be able to a) apply the algorithms and advanced programming tools for the analysis of single cell and spatial transcriptomic data; b) apply the code performance analysis and identify critical issues and their optimization. Making judgements Ability to independently propose effective and efficient solutions for the biomedical and bioinformatics application domain; ability to identify critical issues for the treatment of complex bioinformatics problems related to the analysis of single cell and spatial transcriptomic data. Communication The student will also be able to interact with various interlocutors in a multidisciplinary biomedical and bioinformatics context, to interact with colleagues in the performance of group work, and to interact with the interlocutors in the working or research environment. Lifelong learning skills Ability to understand scientific literature in the process of interpreting the results or proposed solution, and to carry out individual and group in-depth studies aimed at tackling problems from the research and business world.

Prerequisites and basic notions

Conceptual and practical notions of programming languages

Program

Data structures and algorithms to analyze:
- single cell data,
- spatial transcriptomics data
- multimodal omics
Application on real studies presented by Bio / Med experts in the sector.
Deepening through seminars by international experts on computational aspects and data production technologies.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Students will follow theoretical lessons and exercises whose content will be provided via notebook or R Markdown. Students will install and use the software related to the chosen topics and will analyze real cases.

Learning assessment procedures

Development of a project in the classroom (or remotely to be evaluated with the teacher).

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

Explanation, through presentation and demo, critical and detailed, of the methodologies used for the development of the project and of the biomedical results obtained. The presentation can take place in front of experts of the applications dealt with.

Criteria for the composition of the final grade

The grade is composed of the evaluation of three factors: autonomy, competence, critical sense that the student has shown during the development of the project and during the presentation.

Exam language

Inglese