Food and Industrial Biotechnology

General objectives of the module: Theoretical illustration of the principles underlying the methodologies used in computational genomics will be accompanied by some practical exercises on the use of analysis software and then by the discussion of examples taken from recent literature regarding the computational genomics approaches related to plant pathogens. The student will be able to develop an aptitude to interpret computational genomics approaches and apply what has been learned with practical examples including the value and scope of analysis of that type. Knowledge and understanding a) Of common software used in bioinformatics b) Differences between different approaches used for big data analysis c) Best choice based on the study case to analyze 2) Application of knowledge and understanding a) Problem solving skill b) Set-up experiment based on the problem to solve c) Understand and discuss different approach to use to rich a goal d) Know how to use the knowledge acquired during the course 3) Express judgments a) Critical judgment skills, through the study of reviews and scientific articles on key aspects of the field and in-depth discussions. b) Ability to evaluate the correctness and scientific rigor in the topics related to the topics covered by the course. c) Autonomy of judgment in knowing how to analyse recent literature and critically read the results 4) Communication skills a) Acquisition of adequate skills and useful tools for communication in Italian and foreign languages ​​(English), using graphic and formal languages, with particular regard to scientific language. b) present the topics of the course to the oral exam and to non-experts 5) Learning skills a) Ability to interpret and deepen knowledge; b) Ability to use cognitive tools for the continuous updating of knowledge; c) Ability to compare for the consolidation and improvement of knowledge.