Secondary Data Analysis in Vehicle Engineering

Content and learning outcomes

In this course students learn how to handle large data sets and vehicle energy consumption data as well as how to expand these data through the use of data from external sources (secondary data).

Students learn the principles of data preparation and enhancement, focusing in particular on enhancing geographic and meteorological data (e.g. ambient temperature relevant to energy consumption. Available relevant influencing variables, their data sources, and methodologies for determining values are presented and then implemented on the data sets in MATLAB.

Module format and content

Credits	6 ECTS (4 course hours per week)
Module supervisor	Thomas Herzlieb
Teaching format	Combination of lecture and practical tutorial
Dates and duration	The module is offered both winter and summer semester during the semester break.
Requirements	(a) mandatory: good understanding of automotive technology (acquired by successful completion of the module "Fundamentals of Vehicle Technology I and II" or "Fundamentals of Vehicle Dynamics,” familiarity using MATLAB (acquired by successful completion of the course “MATLAB/Simulink - examples from vehicle dynamics”)
	(b) preferred: oral and written presentation skills for technical results, willingness to work in a team, social competence
Exam requirements	Exam-equivalent performance (PS): final report in groups of two, final test with oral component