SAFE SMART CITIES AND SMART GRIDS

Pierluigi SIANO SAFE SMART CITIES AND SMART GRIDS

1222500039
DEPARTMENT OF MANAGEMENT & INNOVATION SYSTEMS
EQF7
GLOBAL STUDIES AND EU
2021/2022



YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2018
AUTUMN SEMESTER
CFUHOURSACTIVITY
640LESSONS
Objectives
THE COURSE IS DESIGNED FOR LEARNING FUNDAMENTAL METHODS FOR THE PLANNING AND MANAGEMENT OF SMART CITIES.
AT THE END OF THE COURSE THE STUDENT WILL KNOW:
-KNOWLEDGE RELATED TO THE INFRASTRUCTURE OF A SMART CITY
-ADVANCED METHODS FOR THE ACHIEVEMENT AND MANAGEMENT OF A SMART CITY
-KNOWLEDGE RELATED TO THE PRINCIPLES OF SAFETY AND SECURITY IN A SMART CITY
AT THE END OF THE COURSE THE STUDENT WILL BE ABLE TO:
-UNDERSTAND THE POTENTIALITIES AND PROBLEMS RELATED TO THE DIGITAL AND ENERGY INFRASTRUCTURES OF SMART CITIES
-EVALUATE INTERVENTIONS FOR PLANNING SMART CITIES BASED ON TECHNICAL, ECONOMIC AND REGULATORY CONSIDERATIONS
ABILITY TO IDENTIFY THE MOST APPROPRIATE METHODS FOR THE MANAGEMENT AND IMPLEMENTATION OF A SMART CITY.
ABILITY TO DESCRIBE IN WRITTEN FORM AND PRESENT IN A CLEAR AND CONCISE WAY THE PROCESS AND RESULTS OF PERFORMED CALCULATIONS.
BEING ABLE TO APPLY THEIR KNOWLEDGE IN CONTEXTS DIFFERENT FROM THOSE PRESENTED DURING THE COURSE, AND DEEPEN THE TOPICS USING MATERIALS OTHER THAN THOSE PROPOSED.
Prerequisites
FOR THE PROFITABLE ACHIEVEMENT OF THE PREFIXED OBJECTIVES, BASE KNOWLEDGE OF MATHEMATICS ARE 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. (4 H THEORY LESSONS, 2 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY).
THE SMART CITY GOVERNANCE MODEL. THE SMART CITY AS A TERRITORIAL POLICY: THE ROLE OF POLITICAL SUBJECTS. CENTRAL AND LOCAL GOVERNMENTS. THE SMART CITY AND E-GOVERNMENT: TOOLS FOR IMPLEMENTATION (OPEN DATA, OPEN GOVERNMENT, SPATIAL INFORMATION SYSTEMS, ETC.) AND CASE ANALYSIS. (4 H THEORY LESSONS, 4 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. ARTIFICIAL INTELLIGENCE APPLIED TO SMART CITIES. (3 H THEORY LESSONS, 1 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).
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. (8 H THEORY LESSONS, 4 H PRACTICAL EXERCISES IN THE LABORATORY).
INNOVATIVE, DIGITAL AND ENVIRONMENTAL TECHNOLOGIES APPLIED TO URBAN TRANSPORT AND MOBILITY INFRASTRUCTURES. SMART MOBILITY MANAGEMENT, LOGISTICAL PROBLEMS, DECISION MAKING. (2 H THEORY LESSONS, 1 H PRACTICAL EXERCISES IN THE LABORATORY).
TOPICS ARE INTRODUCED THROUGH AN APPLICATION APPROACH BASED ON REAL EXAMPLES OF SMART CITIES.

LESSONS CAN ALSO BE HELD IN ENGLISH, AS WELL AS EXERCISES AND RESEARCH REPORT PROCESSING. THEREFORE, THE USE OF DOCUMENTARY AND BIBLIOGRAPHICAL SOURCES IN ENGLISH IS ALSO ENVISAGED.
Teaching Methods
THE COURSE CONSISTS OF THEORY LESSONS (23 H), PRACTICAL EXERCISES IN THE CLASSROOM (7 H) AND LABORATORY (10 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 IN WORKING GROUPS. PRACTICAL EXERCISES ARE USEFUL FOR DEVELOPING SKILLS RELATED TO THE MANAGEMENT AND PLANNING OF SMART CITIES. MOREOVER THEY ARE ALSO USEFUL TO DEVELOP AND STRENGTHEN THE ABILITY TO WORK IN TEAM.
Verification of learning
THE EVALUATION OF THE ACHIEVEMENT OF THE FIXED OBJECTIVES WILL BE CARRIED OUT BY ORAL INTERVIEW RELATED TO THE MANAGEMENT AND PLANNING OF SMART CITIES. 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
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]