A tárgy címe:
Data Science Aided Measurements
Elsődleges képzés:
Fizikus mérnök BSc
Kredit:
3
A tárgy besorolása:
elective
Óraszám - előadás:
0
Óraszám - gyakorlat:
0
Óraszám - labor:
2
Egyéb oktatás:
Laboratory exercises
Számonkérés módja:
Coursework grade
Egyéb számonkérés:
The competence is tested prior to the measurements, and laboratory reports are submitted after the measurements. The grade is based on both aspects.
Félév:
6
Előtanulmányi feltételek:
Introduction to Machine Learning, Measurement Techniques Laboratory
Tantárgy felelőse:
Dr. Gergő Fülöp, research fellow, PhD
További oktatók:
Tárgyleírás:
Advanced data processing algorithms have become widespread both in industrial applications and research laboratories. In this laboratory course the students gain hands-on experience in such modern data science methods through various practical examples. In each laboratory exercise, the students carry out a complex experimental project end-to-end. Their tasks include
- setting up and performing the experiment,
- evaluating the experimental data,
- analyzing the data collection and evaluation pipeline,
- optimizing the data acquisition parameters,
-evaluation of the experiemtal data with the toolbox of data science
- exploring the performance and limitations of the methods,
- compiling a written report.
Ajánlott irodalom:
Descriptions of laboratory exercises on the website of the BME Physics Institute.
Kompetenciák:
Please find the detailed list, as quoted from the Hungarian training and outcome requirements of the Physicist Engineer program, in the Hungarian version of the course description.