The course teaches: -How to interpret emerging megatrends. -How to read and interpret research reports using complex computational techniques. -How to use Big Data in corporate decision-making, study end-users and their behavior patterns, develop new products and services, and improve corporate processes.
Course Prerequisites
No technical skills are necessary. A basic understanding of statistics will be evaluated at the start of class, and supplementary readings will be suggested, if needed.
Teaching Methods
Lectures and exercises.
Assessment Methods
The exam includes the production of a paper and an oral exam. The examination commission will evaluate in particular three aspects: i) The student's ability to have learned and mastered the knowledge, methodologies, and techniques presented during the lessons in writing the paper. ii) The effectiveness of communication, the ability to argue and answer questions. iii) The quality of the presentation support materials.
Texts
Reading materials and handouts made available to students, during the course, in the dedicated section on the KIRO platform.
Contents
Big Data: -History and evolution. -Their strategic importance, current and future applications. -Artificial Intelligence, IoT, Machine Learning and Deep Learning. -Infrastructure, analysis, and processing techniques. Use of Big Data: -In corporate decision-making processes. -In the study of the end-user and the understanding of the user experiences. -In the development of new products and services. -In the improvement of business processes. Security and governance: -Privacy and data protection. -Guidelines and regulations. Big Data and Analytics in the Seamless Customer and Patient Journey. Case studies: -The Digital Customer Journey between Retail (Fashion, Luxury, Food and Beverage) and Health (Healthcare, Wellbeing, Clinics, Pharmaceuticals). -Omnichannel Marketing and Marketing of Everything: a Seamless Phygital Journey. -Vision Recognition and Artificial Intelligence. -Digital Interactive Engagement and Frictionless Experience. -Smart Cities. -Smart Life Sciences and Healthcare. -Smart Clinics, Precision Nutrition, Precision Medicine, Digital Therapeutics, Wearables and Telemedicine. -Metaverse. The course includes the discussion of case studies and the holding of laboratory lessons.
Course Language
Italian
More information
Students with access to inclusive teaching mode will be provided up to two hours per week of online office hours. Regarding reading materials and handouts, please refer to the “Reference texts/Testi di riferimento” section of the Syllabus.
