Study Guide

Objective

After completing the course the student:
- knows different AD conversion methods and can choose and use them for data acquisition
- understands the basic principles of sensor operation and the need for careful system interconnections.
- understands different methods of interference in and between electronic devices and systems and can apply this for a reliable measurement system design.

Content

- fundamental signal conditioning (amplification, filtering, attenuation, isolation, linearization, circuit protection)
- analog to digital conversion
- multiplexing and sampling
- noise reduction

Materials

lecture slides
matlab scripts
lab instructions

Teaching methods

Lectures
Lab exercises

Student workload

13h lectures
39h labs
40h home assignments
41h self-study
2h exam

Content scheduling

Signal properties in time and frequency domains
Noise and interference
Signal sampling
Signal filtering
Analog and digital sensor interfaces
Sensors and applications

Evaluation scale

H-5

Assessment methods and criteria

Mandatory lab exercises
Lab activity and performance
Final exam

Assessment criteria, fail (0)

Missing labs or failed final exam.

Assessment criteria, satisfactory (1-2)

Unfocused lab performance.
Poor grade from final exam.

Assessment criteria, excellent (5)

Sharp and focused lab performance. Student learns tools and concepts, and shows efficient problem solving skills.
Good grade from final exam.

Qualifications

Introduction to Electronics and Transmission (or similar skills)
System software (or similar skills)