The teaching is organized as follows:

Learning outcomes

Knowledge and understanding: The goal of this course is to provide the student with the knowledge and understanding of the theoretical, methodological and technological main concepts related to database systems and their use for the management of biomedical and bioinformatics data and information. Applying knowledge and understanding: The student will be able to a) define through a formal model the structure and the features of complex data collections; b) specify queries on complex data through different query languages; c) understand the advanced requirements for the management of biomedical information. Making judgements: The student will acquire the capability of autonomously evaluate different design options for complex systems, and of autonomously propose effective solutions in the application domain related to biomedicine and bioinformatics. Communication: The student will be also able to interact with different stakeholders in multidisciplinary teams, having different skills and backgrounds in biomedicine and bioinformatics. Lifelong learning skills: The student will acquire the capability of learning new methodologies and technologies related to data management and applying them in the biomedical/bioinformatics domain.

Program

------------------------
MM: Biomedical and bioinformatic data management
------------------------
* Electronic Medical Record systems * Temporal Clinical Databases * Querying biomedical XML data: Xpath and Xquery * Information retrieval techniques: basic issues and application to biomedical data
------------------------
MM: Fundamentals of database systems Teoria
------------------------
- The relational data model: relational calculus, functional dependencies, normal forms and decompositions. - Conceptual data modeling in UML (modelling non relational data) - Object and object-relational databases: data model and query language of SQL 3, UML for modeling object oriented databases, mapping towards SLQ 3. - Spatio-Temporal databases: basic concepts, data models, query languages (TSQL2, Simple Feature Specification for SQL OGC). - Big data systems: Hadoop
------------------------
MM: Fundamentals of database systems Lab.
------------------------
- training on SQL 3 with postgreSQL - training on spatio-temporal queries with PostGIS

Bibliography

Examination Methods

------------------------
MM: Biomedical and bioinformatic data management
------------------------
The exam consists of an oral examinations with exercises and questions related to the different parts of the module, with the goal of verifying whether the student is aware of the theoretical content of the module and is able to apply it in real-world contexts.
------------------------
MM: Fundamentals of database systems Teoria
------------------------
The exam for this module consists of a written test of about 2.5 hours containing: (i) some exercises requiring the specification of queries and database design using one of the database models included in the program and (ii) open questions about the theory. During the semester, in a date to be decided with the students, a mid-term test will be proposed on the part of the program regarding: the relational calculus, the functional dependencies and the normalization.
------------------------
MM: Fundamentals of database systems Lab.
------------------------
See the description of the theory module