TY  - CONF
A1  - Auernhammer, Katja
A1  - Tavakoli Kolagari, Ramin
T1  - Workshop for Automotive Software Systems Engineering Education
T2  - 2020 IEEE 32nd Conference on Software Engineering Education and Training (CSEE&T)
N2  - In view of the advent of autonomous driving, the automotive industry is longing for adequately trained employees in a wide range of fields; these include not so much the classic automotive engineering and embedded systems topics, but rather software development, robotics, machine learning, statistics and design. As a particularly specific, industry-oriented discipline, automotive software engineering is hardly represented in academic teaching, except for a few AUTOSAR courses. But as a beacon project of digitization, autonomous driving can arouse broad interest among students who are interested in how diverse disciplines can be profitably combined to realize an impressive project. This interest is an excellent chance for both universities and industry to engage in constructive dialogue, to carry out exciting multidisciplinary projects at universities and to meet the needs of industry with graduates who have a relevant and versatile education. This workshop provides an opportunity for both sides to meet, share requirements and experiences and develop a best practice course according to industry requirements and academic feasibility.
KW  - Automotive engineering , Software engineering , Industries , Education , Conferences , Machine learning , Automobiles
Y1  - 2020
UR  - https://opus4.kobv.de/opus4-ohm/frontdoor/index/index/docId/2190
PB  - IEEE
ER  -