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Sensors and Data Acquisition (5 cr)

Code: R504D72-3001

General information


Enrollment

03.10.2022 - 08.01.2023

Timing

09.01.2023 - 31.03.2023

Credits

5 op

Mode of delivery

Contact teaching

Unit

Bachelor of Engineering, Information Technology

Teaching languages

  • English

Seats

0 - 30

Degree programmes

  • Machine Learning and Data Engineering

Teachers

  • Ari Karjalainen

Responsible person

Ari Karjalainen

Student groups

  • R54D21S
    Bachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2021

Objective

The student deepens knowledge of sensor technology, embedded systems and IoT bus technologies and data acquisition equipment. The student knows the basics of analog-to-digital conversion. The student knows the principles of digital signal processing and their effect on the performance and accuracy of measurements.

Content

- Basics of electronic measurement technology
- Analog-to-Digital and Digital-to-Analog transform
- Sample-and-Hold
- Data Transfer Techniques
- Analog and digital data acquisition,
- Sensor/Transducer interfacing, Instrument amplifier
- Interference, Grounding and Shielding

Materials

Study material will be given during lessons,no need to purchase of books.Most of the material will be in electric form and materials from Internet will be used.
Raspberry Pi or similar units will be used.

Teaching methods

Lessons and exercises in laboratory, working in small groups and returning report of given tasks.

Completion alternatives

Not possible.

Content scheduling

Four hour long lessons in every week.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student knows the basic principles of analog and digital sensors and the conditions affecting the accuracy of measurements.

Assessment criteria, good (3)

The student can connect sensors to a data acquisition system.

Assessment criteria, excellent (5)

The student can apply interference cancellation, filtering and error correction methods to improve the performance of the measurement system.

Assessment methods and criteria

All given exercises must be reported and reports will be evaluated by instructor.
10 - 20 points per report will be maximum, total of 100 points will be available.
Evaluation scale:
< 50p 0
50 -59 1
60 - 69 2
70 - 79 3
80 -89 4
90 - 5