Sensors and Signal ConditioningLaajuus (5 cr)
Code: 5051229
Credits
5 op
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
Qualifications
Introduction to Electronics and Transmission (or similar skills)
System software (or similar skills)
Enrollment
29.05.2024 - 14.09.2024
Timing
02.09.2024 - 18.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- Finnish
- English
Seats
20 - 60
Degree programmes
- Degree Programme in Information and Communication Technology
- Degree Programme in Information and Communications Technology
Teachers
- Jari-Pekka Paalassalo
Groups
-
ICTMODembeddedSem
-
PTIVIS22SEmbedded Software and IoT
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
30h homework
50h 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)
Further information
course is managed via itslearning
Evaluation scale
H-5
Assessment methods and criteria
Course has total 100pts max:
30pts homework
20pts exam
50pts project
And final grading is 50-59 pts == 1, ... 90-99pts == 5.
Assessment criteria, fail (0)
Missing group assignment or failed final exam.
<50pts
Assessment criteria, satisfactory (1-2)
Unfocused group assignment performance.
Poor grade from final exam.
50-69pts
Assessment criteria, good (3-4)
70-89pts
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.
90-100pts
Qualifications
Introduction to Electronics and Transmission (or similar skills)
System software (or similar skills)
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
-
PTIVIS21SEmbedded Software and IoT
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)
Enrollment
30.07.2022 - 28.08.2022
Timing
29.08.2022 - 22.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- Finnish
- English
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
-
PTIVIS20SEmbedded Software and IoT
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
Group assignment
Student workload
12h lectures
80h group assignment
38h 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
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)