Pierluigi SIANO | SECURITY AND SAFETY IN SMART CITIES
Pierluigi SIANO SECURITY AND SAFETY IN SMART CITIES
cod. 0222700007
SECURITY AND SAFETY IN SMART CITIES
| 0222700007 | |
| DEPARTMENT OF MANAGEMENT & INNOVATION SYSTEMS | |
| EQF7 | |
| DATA SCIENCE AND INNOVATION MANAGEMENT | |
| 2021/2022 |
| OBBLIGATORIO | |
| YEAR OF COURSE 1 | |
| YEAR OF DIDACTIC SYSTEM 2020 | |
| SPRING SEMESTER |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| ING-IND/33 | 6 | 42 | LESSONS |
| Objectives | |
|---|---|
| AT THE END OF THE COURSE THE STUDENT WILL KNOW - DATA-DRIVEN METHODS FOR MANAGING SMART CITIES AND SMART GRIDS - DATA-DRIVEN METHODOLOGIES FOR SUPPORTING THE DECISION SYSTEMS OF THE DIGITAL AND ENERGY INFRASTRUCTURES OF SMART CITIES - METHODS FOR MANAGING SAFETY AND SECURITY, CYBERSECURITY AND DATA PRIVACY IN SMART CITIES AND SMART GRIDS - KNOWLEDGE OF INNOVATIVE PROCESSES BASED ON INFORMATION & COMMUNICATION TECHNOLOGIES FOR SMART CITIES MOREOVER, AT THE END OF THE COURSE THE STUDENT WILL BE ABLE TO: - INSTANTIATE AND IMPLEMENT DATA-DRIVEN METHODOLOGIES FOR THE MANAGEMENT OF COMPLEX SYSTEMS SUCH AS A SMART CITY OR A SMART GRID - INSTANTIATE AND IMPLEMENT DATA-DRIVEN METHODOLOGIES TO SUPPORT DECISION-MAKING FOR A SMART CITY OR A SMART GRID - KNOW HOW TO EVALUATE THE SECURITY OF ENERGY AND DIGITAL INFRASTRUCTURE OF SMART CITIES ALSO IN TERMS OF SAFETY AND SECURITY; CYBERSECURITY AND DATA PRIVACY. |
| Prerequisites | |
|---|---|
| FOR THE PROFITABLE ACHIEVEMENT OF THE PREFIXED OBJECTIVES, THE BASE KNOWLEDGE OF MATHEMATICS IS REQUIRED. |
| Contents | |
|---|---|
| THE CONCEPT OF SMART CITY: ANALYSIS OF RECORD OF CASES AND DEFINITION OF THE PROFILE OF THE SMART CITY. THEMES AND SMART DIMENSIONS OF THE CITY: ECONOMIC, SOCIAL, TECHNOLOGICAL, CULTURAL ASPECTS. THE CURRENT STATE OF THE SMART CITY. ANALYSIS OF THE ITALIAN, EUROPEAN AND GLOBAL CONTEXT. EMERGING MODELS OF SMART CITY: ANALYSIS OF CASES AND BEST PRACTICES. (6 H THEORY LESSONS, 2 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY). URBAN DEVELOPMENT STRATEGIES, INTELLIGENT PLANNING, SOCIAL INCLUSION, THE PRINCIPLES OF SAFETY, HEALTH AND ERGONOMICS; SAFETY AND SECURITY; CYBER SECURITY AND DATA PRIVACY. THE PROVISIONS OF THE LAW AND THE ORGANIZATIONAL ASPECTS OF SECURITY. (4 H THEORY LESSONS, 3 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY). SOCIAL NETWORKING, CLOUD COMPUTING, THE INTERNET OF THINGS, MOBILE DEVICES AND CYBERSECURITY IN THE ERA OF SMART CITIES. SECURITY OF THE ENERGY AND DIGITAL INFRASTRUCTURES OF SMART CITIES: SAFETY AND SECURITY, CYBER SECURITY AND DATA PRIVACY. (4 H THEORY LESSONS, 2 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY). THE INFRASTRUCTURE BASE OF THE SMART CITY: DIGITAL AND SUSTAINABLE TECHNOLOGIES. SMART CITY AND DIGITAL CITY: DIGITAL TECHNOLOGIES APPLIED TO THE CITY. URBAN ENERGY NEEDS AND ENERGY FROM RENEWABLE SOURCES. THE ROLE OF THE SMART GRID IN THE CREATION OF A SMART CITY. ENERGY INNOVATION, SMART HOUSE, SMART BUILDING, DISTRIBUTED GENERATION AND RENEWABLE SOURCES. (6 H THEORY LESSONS, 5 H PRACTICAL EXERCISES IN THE LABORATORY). DECISION MAKING IN SMART CITIES. DATA-DRIVEN METHODOLOGIES TO SUPPORT DECISION-MAKING SYSTEMS AND TO MANAGE COMPLEX SYSTEMS. DATA-DRIVEN METHODOLOGIES BASED ON ARTIFICIAL INTELLIGENCE. EXAMPLES OF APPLICATIONS FOR A SMART CITY AND A SMART GRID. (4 H THEORY LESSONS, 6 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY). TOPICS ARE INTRODUCED THROUGH AN APPLICATION APPROACH BASED ON REAL EXAMPLES OF SMART CITIES. |
| Teaching Methods | |
|---|---|
| THE COURSE CONSISTS OF THEORY LESSONS (24 H), PRACTICAL EXERCISES IN THE CLASSROOM AND LABORATORY (18 H). DURING EXERCISES IN THE CLASSROOM, STUDENTS PERFORM EXERCISES ON THEORETICAL TOPICS. DURING LABORATORY EXERCISES, PRACTICAL EXERCISES TO DEVELOP THROUGH THE USE OF COMPUTER CALCULATION ARE ASSIGNED TO STUDENTS, DIVIDED INTO WORKING GROUPS. PRACTICAL EXERCISES ARE USEFUL FOR DEVELOPING SKILLS RELATED TO DATA-DRIVEN METHODS FOR MANAGING SMART CITIES AND SMART GRIDS. MOREOVER, THEY ARE ALSO USEFUL TO DEVELOP AND STRENGTHEN THE ABILITY TO WORK IN A TEAM. |
| Verification of learning | |
|---|---|
| THE EVALUATION OF THE ACHIEVEMENT OF THE FIXED OBJECTIVES WILL BE CARRIED OUT BY ORAL INTERVIEW RELATED TO DATA-DRIVEN METHODS FOR MANAGING SMART CITIES AND SMART GRIDS. DURING THE INTERVIEW, THE STUDENT WILL ALSO DISCUSS AN ELABORATE CARRIED OUT DURING THE LABORATORY ACTIVITIES. THE ORAL EXAM IS AIMED AT DEEPENING THE LEVEL OF THEORETICAL KNOWLEDGE, THE AUTONOMY OF ANALYSIS AND JUDGMENT, AS WELL AS THE STUDENT'S EXHIBITION SKILLS. THE MINIMUM GRADE (18) IS ASSIGNED WHEN THE STUDENT DEMONSTRATES UNCERTAINTIES IN THE APPLICATION OF CONTROL METHODS FOR AUTOMATION AND HAS LIMITED KNOWLEDGE OF THESE METHODS. THE MAXIMUM GRADE (30) IS ASSIGNED WHEN THE STUDENT DEMONSTRATES A COMPLETE AND IN-DEPTH KNOWLEDGE OF THE METHODS AND IS ABLE TO SOLVE THE PROPOSED PROBLEMS ARRIVING EFFICIENTLY AND ACCURATELY TO THE SOLUTION. THE PRAISE IS GIVEN WHEN THE CANDIDATE DEMONSTRATES SIGNIFICANT MASTERY OF THE THEORETICAL AND OPERATIONAL CONTENT AND SHOWS HOW TO PRESENT THE TOPICS WITH CONSIDERABLE OWNERSHIP OF LANGUAGE AND AUTONOMOUS PROCESSING SKILLS EVEN IN CONTEXTS DIFFERENT FROM THOSE PROPOSED BY THE TEACHER. |
| Texts | |
|---|---|
| SMART CITIES, MICHELE VIANELLO, MAGGIOLI EDITORE; 1 EDIZIONE (1 MARZO 2013), COLLANA: PIONERO, ISBN-10: 8838779384 SMART CITY E DIGITAL CITY. STRATEGIE URBANE A CONFRONTO, RENATA P. DAMERI (AUTORE), LORENZO GIOVANNACCI, FRANCO ANGELI EDITORE, 2016 . |
| More Information | |
|---|---|
| SLIDES AND FURTHER DIDACTIC MATERIALS OF THE COURSE CAN BE REQUESTED TO THE TEACHER RECEPTION TIME: MONDAY FROM 14:00 TO 16:00 |
BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2022-11-21]
