Course data
- Course name: Data-Science-Aided Measurements
- Neptun code: BMETEFTBsPATTM-00
- Time: 1st class is on 18th of February. Next occassions are scheduled individually.
- Location: -
- Responsible lecturer: Gergő Fülöp
- Requirements to pass:
- Completion of the projects.
- Handing in reports within the deadline.
- Each report must have at least a pass (2) grade.
- Grading:
- Reports (max. 100 pts each)
- Total: 200 pts, the final grade is determined as per the table below,
-
- < 40%: fail (1)
- 40% - 55%: pass (2)
- 55% - 70%: satisfactory (3)
- 70% - 85%: good (4)
- 85% < : excellent (5)
Schedule of the semester
All projects are carried out in pairs.
- Hand gesture classification with radar sensor (for everyone)
- AI-based radar object detection (Furukawa Electric Institute of Technology)
- Automated AFM control and analysis (Semilab)
Submission Rules
- Written and oral reports, scheduled individually.
- In case a report or solution is copied or plagiarized, it will automatically be evaluated to be the maximum score multiplied by negative one, regardless of the degree of copying.
- Teacher: Gergő Fülöp