Energy and Mobility 1

Course content

• Acquisition of measurement data such as acceleration, inclination, angular velocity, distance
• Wireless transmission of measurement data from a mobile application and visualisation on a PC
• Integration of sensor data in an existing algorithm
• Simulation of algorithms
• Testing of source code

Learning outcomes

Graduates

• attain basic knowledge of statistics and probabilistic calculations,
• aquire the about the fundamentals in wireless data transmission and visualisation,
• learn to handle microcontroller platforms,
• are familiar with different sensors used in the automotive sector and their functional principles respectively,
• are able to analyze sensor data,
• are able to use control systems within practical applications and
• are able to independently solve problems using appropriate sensor systems.

Recommended or required reading and other learning resources / tools

Books:

• Tanenbaum: Structured Computer Organization
• Hintenaus: Engineering Embedded Systems
• Tietze, Schenk: Halbleiterschaltungstechnik
• Göbel: Einführung in die Halbleiterschaltungstechnik

 

Mode of delivery

Integrated course, exercises 66%

Prerequisites and co-requisites

• Applied Electrical Engineering 2
• Semiconductor Technology
• Control Engineering and Electric Drives
• Applied Computer Science 2
• Embedded Systems
• Technology Management 1
• Technology Management 2
• Technology Management 3

Assessment methods and criteria

Continuous assessment