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.