Sensaris has posted the first 2 episodes of our Internet of Things training course.
The courses are accessible via this link (Click on the link below to access the course)
The complete schedule is the following:
What the IoT is about,
CORE TECHNOLOGY OVERVIEW
MCUs: Market, types
Serial communication: I2C and SPI
Wired connectivity: Ethernet
Wireless technologies: Bluetooth, Bluetooth Low Energy, Zigbee, WiFi, GPRS/3G, Sigfox, Weightless……….
Power: POE, Batteries,solar energy, energy harvesting, inductive charging.
Power optimisation, latency, range, signal propagation, interference
Platforms: Senspods, Arduino , Raspberry Pi, Over the Air firmware updates,, programming languages, IDE/compilers.
Embedded Software: Contiki, RTOS and others.
INTERNET OF THINGS ARCHITECTURE AND INFRASTRUCTURE
Network topologies: Star, mesh.
Real time vs store and forward or on demand access.
Possible Data models.
Security:AES, DES, SSL, man in the middle attacks. Impact on autonomy.
Protocols: IPv4, IPv6 , TCP vs UDP, http, MQTT
Databases: SQL, NoSQL
Cloud storage, big data analysis, scalability, SaaS
Real time technologies: Websockets.
Silos/ interoperability, bridges, SDKs and APIs
Mobile world integration : Smartphone and tablet shares, iPhone / Android opportunities and quirks.
Web technologies: html 5, xml, JSON, GIS
Data Visualisation: User Interface, graphs, mapping, Augmented Reality
Deployment, remote support, fleet management , managing risks and evolution
Value chain and Business models.
User centric cloud based services
Analytical Hierarchy Process for technology selection
• Industry: Data center applications, parcel tracking and monitoring, worker exposure
• Environmental monitoring: Air quality, water quality, radiation
• Meteorological: Barometric pressure, temperature, relative humidity, UV index, wind speed, precipitation etc.
• Agriculture: Soil moisture, leaf wetness etc., greenhouse uses, fresh produce monitoring, wine growing, grain preservation
• Smart homes: Home automation, Energy consumption optimisation, LED lighting, presence detection, indoor air quality.
• Internet of Things for healthcare: Professional services, mHealth, Chronic disease management, quantified self
• Sports and fitness: Real time Heart rate monitoring,HRV, recovery, Inertial sensing for performance optimisation, gait analysis and foot pressure mapping, muscle fatigue
• Smart cities: Museums, lighting, noise mapping, road condition sensors
• New applications: Advertising, Iot and drones. Google talking shoe etc.