Physiological Measurements and Sensors (5 cr)
Code: TX00EY08-3001
General information
- Enrollment
-
01.01.2020
Registration for the implementation has ended.
- Timing
-
23.10.2023 - 17.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Karaportti 2
- Teaching languages
- Finnish
- Seats
- 0 - 35
- Degree programmes
- Information and Communication Technology
- Teachers
- Sakari Lukkarinen
- Saana Vallius
- Course
- TX00EY08
Implementation has 19 reservations. Total duration of reservations is 55 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 23.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit (Sakari) |
KMD751
Oppimistila
|
|
Thu 26.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3001 |
KMD652
Oppimistila
|
|
Mon 30.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit (Sakari) |
MPB2029
Anatomian opetustila
|
|
Thu 02.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3001 |
KMD652
Oppimistila
|
|
Mon 06.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit (Sakari) |
KMD751
Oppimistila
|
|
Thu 09.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3001 |
KMD652
Oppimistila
|
|
Mon 13.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit (Sakari) |
KME659
Oppimistila
|
|
Thu 16.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3001 |
KMD652
Oppimistila
|
|
Mon 20.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit (Sakari) |
KMD751
Oppimistila
|
|
Wed 22.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Uusinta - 1. välikoe |
KME759
Oppimistila
|
|
Thu 23.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3001 |
KMD652
Oppimistila
|
|
Mon 27.11.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit (Sakari) |
KMD751
Oppimistila
|
|
Wed 29.11.2023 time 13:00 - 14:30 (1 h 30 min) |
FMA 1. välikoe, 2. uusinta |
KME670
Oppimistila
|
|
Thu 30.11.2023 time 09:00 - 12:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3001 |
KMD652
Oppimistila
|
|
Mon 04.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit (Sakari) |
KMD751
Oppimistila
|
|
Thu 07.12.2023 time 09:00 - 12:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3001 |
KMD652
Oppimistila
|
|
Mon 11.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit (Sakari) |
KMD751
Oppimistila
|
|
Thu 14.12.2023 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3001 |
KMD652
Oppimistila
|
|
Mon 18.12.2023 time 09:00 - 11:30 (2 h 30 min) |
Uusintatentti |
KMD750
Oppimistila
|
Objective
After completing the course, the student understands physiological signals, knows the typical methods of measuring physiological signals, measuring devices and sensors, understands the basics of digital signal processing, and is able to measure selected physiological signals.
Content
Methods and equipment for measuring physiological signals
Sensors
Signal amplification and interference filtering
Digital signal processing
Practical measurements of physiological signals
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Student has achieved the course objectives. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.
Assessment criteria, approved/failed
Student has achieved the course objectives. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.