INTERNATIONAL SCHOOL ON IOT (ENGLISH

Andrea DE LUCIA INTERNATIONAL SCHOOL ON IOT (ENGLISH

0522500122
DIPARTIMENTO DI INFORMATICA
EQF7
COMPUTER SCIENCE
2020/2021

YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2016
SECONDO SEMESTRE
CFUHOURSACTIVITY
630LESSONS
Objectives
KNOWLEDGE AND UNDERSTANDING

STUDENTS WILL ACQUIRE KNOWLEDGE AND UNDERSTANDING OF THE MAIN RESEARCH ISSUES AND RESULTS IN THE CONTEXT OF IOT.



ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING

STUDENTS WILL ACQUIRE THE ABILITY TO UNDERSTAND AND ANALYZE THE EXISTING RESEARCH LITERATURE IN THE CONTEXT OF IOT.


Prerequisites
STUDENTI MUST HAVEPREVIOUS KNOWLEDGE OF FUNDAMENTALS OF INTERNET OF THINGS, DATA ANALYTICS, DISTRIBUTED SYSTEMS, SOFTWARE DEPENDABILITY, AND SECURITY.
Contents
THE CONTENTS OF THE COURSE INCLUDE:
- ENGINEERING DISTRIBUTED IOT SYSTEMS
- IOT STREAM MINING
- TIME SERIES ANALYTICS FOR IOT AND SMART CITIES
- NEAR REAL TIME ANALYTICS ON THE EDGE
- INTELLIGENT IOT APPLICATIONS
- LOW-POWER WIRELESS NETWORKING AND LOCALIZATION FOR THE INTERNET OF THINGS
- ENERGY EFFICIENCY OF MOBILE APPLICATIONS IN THE INTERNET OF THINGS
- SECURITY OF CYBER-PHYSICAL AND IOT SYSTEMS
- TRUSTED EXECUTION ENVIRONMENTS FOR IOT
- HARDWARE SECURITY FOR IOT
Teaching Methods
THE COURSE INCLUDES THEMATIC LECTURES PRESENTING AN OVERVIEW OF THE MAIN RESEARCH RESULTS, METHODS, AND TOOLS IN THE FIELD OF INTERNET OF THINGS. INTERNATIONALLY RECOGNISED RESEARCH LEADERS WILL PARTICIPATE TO THE LECTURES WITH TUTORIALS ON SPECIFIC TOPICS.
Verification of learning
LEARNING ASSESSMENT IS BASED ON AN EXAM WITH GRADES ON A SCALE OF 30.

THE EXAM CONSISTS OF A WRITTEN LITERATURE SURVEY (HOMEWORK) ON ONE OF THE TOPIC OF THE COURSE AND AN ORAL EXAMINATION BASED ON THE DISCUSSION OF THE TOPIC ADDRESSED IN THE SURVEY.

THE EVALUATION IS BASED ON THE FOLLOWING CRITERIA:
- CLARITY OF THE LITERATURE SURVEY AND DURING THE ORAL PRESENTATION
- BREADTH OF THE OF THE LITERATURE SURVEY
- MASTERY OF THE TOPIC
- CRITICAL ANALYSIS ABILITY
Texts
HANDOUTS OF THE LECTURES.

SCIENTIFIC ARTICLES SUGGESTED BY THE LECTURERS.
More Information
HTTP://ISSIOT.DI.UNISA.IT
  BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2021-06-03]