| Title |
Videos |
Preliminary content description |
|
Part 1: Overview
SLIDES
Interactive Slides
|
|
- Needs of the Operators vs platform
- Platform Overview: from data to interactive tools
- Data Analytics, Artificial Intelligence
- Some Cases by Domains: solutions vs analytics
- Other Cases and scenarios
- Overview of the next parts of the Course
- References to other training material
|
|
Part 2: Dashboards production and management
SLIDES
Interactive Slides
|
|
- Recall on Snap4City Architecture
- Dashboards Purposes and Uses
- Main Data Kinds: data vs representations
- Dashboards Main Concepts and simple Widgets
- Creating a Snap4City Dashboard, wizard
- Multi Data Map Widget
- High Level Types, video, external services, synoptics
- Selector for the Multi Data Map Widget
- Data Inspector vs Data Processes Details
- Dashboard Management
- training material
|
|
Part 3: IOT App, Process Logic, Server Side Business Logic
SLIDES
Interactive Slides
|
|
- Recall on Snap4City Architecture
- Node-RED
- IOT App = Node-RED + Snap4City
- Examples of IOT App for Smartening Solutions
- Exploiting/Generating data by using: IoT App/Proc.Logic
- External Service <-> IoT App/Proc.Logic
- Dashboards <-> IoT App/Proc.Logic
- Server Side Business Logic
- training material
|
|
Part 4: Data Analytics and Artificial Intelligence
SLIDES
Interactive Slides
|
|
- Why and Where use DA, AI and XAI --> General Life Cycle
- Data Processing
- What is Data Analytics, DA and Artificial Intelligence, AI
- List of the most relevant available DA and AI Solutions
- Predictions and Anomaly detections
- Computing: Higher Level Types Data and their representations
- How AI/XAI, and Life Cycle
- Using DA, AI, XAI in Snap4City infrastructure
- Data Analytics <--> IoT App / Proc.Logic
- Decision Support Systems and What-If Analysis
- Routing, Multimodal Routing, Dynamic Routing
- Business Intelligence and Visual Analytics
- training material
|
|
Part 5: Data Ingestion and Interoperability
SLIDES
Interactive Slides
|
|
- When Solutions and tools for Data Ingestion and Interoperability are needed
- Overview of Snap4City Data Storage and Stack
- Knowledge Base: Modelling and Setting Up
- High Level Types vs Ingestion Process
- Data Ingestion Strategy and Orientation
- Ingestion of Points of Interest with POI Loader
- Models vs Devices/Entities and Registration
- Verification of Data Ingestion
- Digital Twin Data Inspector vs Data Processes Details
- My Data Dashboard Dev to assess data on Open Search Storage
- An Integrated Example for Time Series
- Entities Ingestion with Data Table Loader
- High Performance Ingestion via Python
- FIWARE Smart Data Models on Snap4City
- Ingestion of MyKPI with Proc.Logic / IoT App
- training material
|
|
Part 6: Snap4City Platform Architecture, Interoperability, Management and Deploy
SLIDES
Interactive Slides
|
|
- Snap4City Architecture
- Interoperability of Snap4City Platform
- Interoperability with respect to Hardware staff
- Adding Features and Modules to Snap4City
- FIWARE and Snap4City
- Snap4City vs State of the Art Solutions
- Smart City planning with Snap4City Team Support
- The Role of the Living Lab Support
- Snap4City Platform: Administration Overview
- Snap4Tech: Smart Solutions as a Service
- Deploy Snap4Tech solutions: Docker Based
- training material
|
|
Part 7: Exploiting Snap4City API, and Web/Mobile Applications SDK
SLIDES
Interactive Slides
|
|
- Smart City API: Internal and External
- Concepts and tools for using Knowlege Base, ServiceMap, API
- Federated Knowledge Bases and Smart City APIs
- Advanced Smart City API
- Access to Protected data
- Forging and managing: Mobile and Web Apps, MicroApplications
- Web and Mobile App Development Kit
- training material
|
|
Part 8: Developing Smart Applications & Business Intelligence Solutions
SLIDES
Interactive Slides
|
|
- Developing in the smart city IoT/WoT context
- Smart Solutions Development Life Cycle
- Analysis for Innovation (Co-Creation and Co-Working)
- Design: Data, Data Models, Data Relationships
- Design & Develop: Data Processes Proc.Logic / IoT App
- Design & Develop of Data Analytics
- Design & Develop: user interfaces, visual tools
- Visual Analytic vs Data Analytics: Client Side Business Logic Intelligence
- Design and Control of Smart Applications
- What is missing here and you can get from former course
- training material
|
