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.