Learning outcomes of the course unit:
The goal is to teach basic knowledge about data acquisition methods and data acquisition devices. The student will gain practical skills with selected data acquisition devices.
 
Course contents:
Measurement process description
Measurement theory
Measurement system description
Sensors
Measurement equipment
Software
Neural networks - Hebb's learning, Back-Propagation

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: No, it's free of charge

Participants prerequisite knowledge: Machine/Deep Learning concepts; Numerical methods (linear algebra, statistics); Domain-specific background knowledge