Our new brand
Menu

Internet of Things (E) (WP)*

Niveau

Master's program

Learning outcomes of the courses/module

The participants:
• know basic IoT architectures
• know methods of data generation
• know the fundamentals of data transmission
• know options for data storage
• know forms of data visualization
• understand the challenges of data security

Prerequisites for the course

none

Course content

Introduction
- IoT architecture (e.g. reference models)
- Requirements for IoT systems
- IoT data transmission protocols
- Use of IoT in an industrial context (examples)
- Fundamentals of sensor technology
- Fundamentals of embedded systems

Implementation
- Approach to implementing IoT
- Prototype implementation of IoT
- Selection of sensors
- Collection, visualization and analysis of data
- Challenges in implementation

Recommended specialist literature

Perry L.; Internet of Things for Architects: Architecting IoT solutions by implementing sensors, communication infrastructure, edge computing, analytics, and security; Birmingham; 2018
Sinclair B.; IoT Inc: How Your Company Can Use the Internet of Things to Win in the Outcome Economy; 2017
Thomas O., Nüttgens M., Fellmann M. (Herausgeber); Smart Service Engineering: Konzepte und Anwendungsszenarien für die digitale Transformation; Wiesbaden; 2017

Assessment methods and criteria

Seminar paper
Written exam

Language

English

Number of ECTS credits awarded

4

Semester hours per week

Planned teaching and learning method

Lecture, individual work with software, group work, presentation and discussion of assignments

Semester/trimester in which the course/module is offered

3

Type of course/module

Type of course