Course: Data Connectivity credits: 4

Course code
ELVH19IDC
Name
Data Connectivity
Study year
2022-2023
ECTS credits
4
Language
English
Coordinator
G.J. Geertsma
Modes of delivery
  • Education
Assessments
  • Data Connectivity - Written, organised by STAD examinations
  • Data Connectivity - Assignment

Learning outcomes

The student: 

  • can describe components and structure of a typical IoT ecosystem and the challenges for networking within this system; 

  • can describe selection criteria for IoT network solutions (within a business context); 

  • can describe the most important IoT (IP and non-IP based) PAN, LAN and WAN network protocols and their properties; 

  • can describe network security threads and best practices to address these; 

  • can describe the architecture (components and interfaces) of a physical wireless link and design and implement such a link using standard commercial products; 

  • can design, implement and test an end-to-end IoT connection in a lab situation.

Content

IoT architectures 

the OSI model 

network topologies 

Based WPAN and WLAN (IP based and non-IP based) 

WAN/long range 

routers and gateways 

edge to cloud 

security: threads and best practices 

a lab-prototype using an embedded system, a basic IoT network and cloud services 

School(s)

  • Institute of Engineering