This course introduces basic concepts of statistical data analysis and their practical application in mobile computing.
Idioma: English
Información del curso
Content
- This course introduces basic concepts of statistical data analysis and their practical application in mobile computing.
- The course covers the entire range of statistical data analysis. Topics include how to design an empirical data collection in a statistical valid way, how to collect data from daily life with the help of mobile computing, and how to achieve statistical test results.
- Lessons learned will be applied in practice by conducting empirical experiments with mobile phones.
- There are no special requirements to attend this lecture since all needed background knowledge is provided within the course.
Examination
- Design and conduct a data collection experiment with mobile phones
- Perform statistical data analysis of the collected data.
- Write a technical report about your experimental study and present it in the lecture.
Attention: This course is currently in self-study mode, in which you do not have access to graded assignments/exams. Therefore, we can only issue you a certificate of participation.
Matricularme en este curso
Learners
Requisitos para el certificado
- Obtenga un certificado de estudios al obtener más del 50% del número máximo de puntos de todos los trabajos evaluados.
- Obtenga una confirmación de participación al completar al menos el 50% del material del curso.
Para saber más, consulte la guía de certificados.
Curso impartido por
Prof. Dr.-Ing. Bert Arnrich is Professor for Digital Health – Connected Healthcare at the Digital Health Center of the Hasso Plattner Institute. His research on ubiquitous sensing and computing technologies is directed towards paving the way for transforming healthcare systems from purely managing illness to maintaining wellness everywhere, anytime and for anyone. He has been a PI in several European and national projects. He has co-authored over 120 refereed research publications. He studied "Informatics in the Natural Sciences" and received the PhD degree Dr.-Ing. for the thesis "Data Mart Based Research in Heart Surgery" from Bielefeld University in 2006. He established and headed the research group Pervasive Healthcare in the Wearable Computing Laboratory at ETH Zurich between 2006 and 2013. He received an EU FP7 Marie Curie Cofound Fellowship in 2013 and was appointed to tenure track professorship at the Computer Engineering Department at Bosporus University until 2017. Between 2017 and 2018 he worked as a Science Manager for Emerging Technologies at Accenture Technology Solutions.