Data Science

General Objectives: Knowledge of main application scenarios in Big Data Computing. Knowledge and understanding of main algorithms and approaches in Big Data Computing. Knowledge of main tools to implement them. Understanding of theoretical foundations underlying main techniques of analysis Ability to implement the aforementioned algorithms, approaches and techniques and to apply them to specific problems and scenarios. Knowledge of main evaluation techniques and their application to practical scenarios. Specific objectives: Ability to: - identify the most suitable techniques to address a data analysis problem where data dimensionality is concern; - implement the proposed solution, identifying the most appropriate design and implementation tools, among available ones; - Design and implement experiments to evaluate proposed solutions in realistic settings; Knowledge and understanding: - knowledge of main application scenarios; - knowledge of main techniques of analysis; - understanding of methodological and theoretical foundations of main analysis techniques; - knowledge and understanding of main evalutation techniques and corresponding performance indices Apply knowledge and understanding: - being able to translate application needs into specific data analysis problems; - being able to identify aspects of the problem for which data dimensionality might play a critical role; - being able to identify the most suitable techniques and tools to addresse the aforementioned problems; - being able to estimate in advance, at least qualitatively, the degree of scalability of proposed solutions; Critical and judgment skills: Being able to evaluate, also experimentally, the effectiveness and efficiency of proposed solutions Communication skills: Being able to effectively describe the requirements of a problem and provide to third parties the relative specifications, design choices and the reasons underlying these choices. Learning ability: The course will facilitate the development of skills for the independent study of topics related to the course. It will also allow students to identify and critically examine material contained in andvanced manuals and/or scientific literature, allowing them to face new application scenarios and/or apply alternative techniques to known ones.