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Professor
IoT Decision Maker (Academic Year 2018/2019)
IoT Decision Maker
Slides
Lesson n. 1:
Module 1: Introduction to Internet of Things - Part I
Introduction to IoT
Architectures
Tools for devices
Romeo Beccherelli
Lesson n. 2:
Module 1: Introduction to Internet of Things - Part II
Devices: Sensors
Devices: Actuators
Devices: Microprocessors
Devices: Microcontrollers
Devices: Platforms
Case Study: Cargotec and Cloudera
Romeo Beccherelli
Lesson n. 3:
Module 2: IoT Business Strategy - Part I
Introduction
Creation of value with IoT: Introduction
Creation of value with IoT: Creation of value
Manfred Leisenberg
Lesson n. 4:
Module 2: IoT Business Strategy - Part II
Creation of value with IoT: Make products better
Creation of value with IoT: Operate products better
Creation of value with IoT: Better product service
Creation of value with IoT: Make new products
Manfred Leisenberg
Lesson n. 5:
Module 2: IoT Business Strategy - Part III
Monetize value with IoT: Introduction
Monetize value with IoT: Product business model
Monetize value with IoT: Product-service business model
Monetize value with IoT: Service business model
Monetize value with IoT: Service-outcome business model
Monetize value with IoT: Outcome business model
Manfred Leisenberg
Lesson n. 6:
Module 2: IoT Business Strategy - Part IV
Customer Relationship: Introduction
Customer Relationship: Transformation of Customer relation
Customer Relationship: Lifetime Value
Customer Relationship: Conclusion
Manfred Leisenberg
Lesson n. 7:
Module 3: Overview of data analysis - Part I
Introduction
Focus on Big Data in IoT
Manfred Leisenberg
Lesson n. 8:
Module 3: Overview of data analysis - Part II
Role of analytics in IoT context
Use-Cases: Scenario Consumer IoT
Use-Cases: Scenario Smart Home
Manfred Leisenberg
Lesson n. 9:
Module 3: Overview of data analysis - Part III
Use-Cases: Scenario Smart Home
Networked consumer electronics
Safety and security
Summary
Manfred Leisenberg
Lesson n. 10:
Module 3: Overview of data analysis - Part IV
Arificial Intelligence in IoT: frameworks, tools, technologies
Machine Learning
Big Data Analytic and Deep Learning
The combination of AI and IoT: Summary
Manfred Leisenberg
Lesson n. 11:
Module 4: Legal aspects of IoT from the business side - Part I
European legislation
Intellectual property protection
Intellectual property protection: Copyright
Intellectual property protection: Patents
Intellectual property protection: Trade secrets
Intellectual property protection: Open Source Software
Romeo Beccherelli
Lesson n. 12:
Module 4: Legal aspects of IoT from the business side - Part II
IoT interoperability
Protection of the user provacy and protection
Vulnerability
European legislation
Safety of IoT
Romeo Beccherelli
Lesson n. 13:
Module 5: Networking for IoT environments - Introduction to Networking for IoT environments
Introduction
OSI Model
TPC/IP Model
Conclusions
Beatriz Martin
Lesson n. 14:
Module 5: Networking for IoT environments - Connectivity technologies for IoT environments
Connectivity
Wired connectivity
Wireless connectivity
Conclusions
Beatriz Martin
Lesson n. 15:
Module 5: Introduction to IoT security
Introduction to Information security
Threats
Vulnerabilities
Security needs
Conclusions
Sergio Martin
Lesson n. 16:
Module 5: Hardware vulnerabilities
Introduction
Hardware manipulation
Vulnerabilities within the device
Vulnerabilities in the Hardware
Good prectices
Sergio Martin
Lesson n. 17:
Module 5: Software vulnerabilities
Scanning
Packet sniffing
Spoofing IP and ARP
Denial of Service (DOS)
Example: Mirai Botnet
Conclusions
Rosario Gil