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Sensors and Signal Conditioning (5 cr)

Code: 5051229-3005

General information


Enrollment

01.06.2023 - 15.09.2023

Timing

04.09.2023 - 31.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Campus

Kupittaa Campus

Teaching languages

  • English

Seats

20 - 60

Degree programmes

  • Degree Programme in Information and Communication Technology
  • Degree Programme in Information and Communications Technology

Teachers

  • Jari-Pekka Paalassalo

Teacher in charge

Jari-Pekka Paalassalo

Groups

  • ICTMODembeddedSem
  • PTIVIS21S
    Embedded Software and IoT
  • 07.09.2023 08:30 - 11:00, Lecture, Sensors and Signal Conditioning 5051229-3005
  • 14.09.2023 08:30 - 11:00, Lecture, Sensors and Signal Conditioning 5051229-3005
  • 21.09.2023 08:30 - 11:00, Lecture, Sensors and Signal Conditioning 5051229-3005
  • 28.09.2023 08:30 - 11:00, Lecture, Sensors and Signal Conditioning 5051229-3005
  • 05.10.2023 08:30 - 11:00, Lecture, Sensors and Signal Conditioning 5051229-3005
  • 12.10.2023 08:30 - 11:00, Lecture, Sensors and Signal Conditioning 5051229-3005
  • 25.10.2023 15:15 - 16:00, EXAM Sensors and Signal Conditioning 5051229-3005
  • 26.10.2023 08:00 - 11:00, Group assignment, Sensors and Signal Conditioning 5051229-3005
  • 02.11.2023 08:00 - 11:00, Group assignment, Sensors and Signal Conditioning 5051229-3005
  • 09.11.2023 08:00 - 11:00, Group assignment, Sensors and Signal Conditioning 5051229-3005
  • 16.11.2023 08:00 - 11:00, Group assignment, Sensors and Signal Conditioning 5051229-3005
  • 16.11.2023 11:00 - 12:00, Sensors and Signal Conditioning 5051229-3005 Exam retake
  • 23.11.2023 08:00 - 11:00, Group assignment, Sensors and Signal Conditioning 5051229-3005
  • 30.11.2023 08:00 - 11:00, Group assignment, Sensors and Signal Conditioning 5051229-3005

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
internet material

Teaching methods

Lectures, home works
Group assignment

Student workload

18h lectures
80h group assignment
28h self-study
6h exams

Content scheduling

Key concepts of measurements
Basic concepts in metrology
Sensor signal chain (sensor - variable transform - filtering - sampling - digital processing - data fusion)

Evaluation scale

H-5

Assessment methods and criteria

Group assignment
Final exam

Assessment criteria, fail (0)

Missing group assignment or failed final exam.

Assessment criteria, satisfactory (1-2)

Unfocused group assignment performance.
Poor grade from final exam.

Assessment criteria, excellent (5)

Sharp and focused group assignment 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)